Malawi. Microfinance pricing analysis. Date: September Executive summary

Size: px
Start display at page:

Download "Malawi. Microfinance pricing analysis. Date: September Executive summary"

Transcription

1 Microfinance pricing analysis Malawi Date: September 2013 Loan Amounts Transparency Avg Full Clients MWK USD Index APR Number Percent <50,000 <$ % 57,462 17% 50,001 to 150, ,001 to 250, ,001 to 350, ,001 to 450,000 $129 to $385 $386 to $641 $898 to $1,154 $1,155 to $1, % 35,319 11% 71 81% 67,174 20% % 67,090 20% 89 69% 59,850 18% >450,000 >$1, % 45,735 14% Product Transparency Index Levels Between 0 and 25 Between 26 and 50 Between 51 and 75 Between 76 and 100 Total Transparent Pricing Practices Declining Balance Interest Products Clients Number Percent Number Percent 4 15% 1,691 1% 8 30% 80,758 24% 2 7% 35,585 11% 13 48% 214,596 65% ,630 Products Clients Number Percent Number Percent 10 37% 212,227 64% Executive summary The institutional level Pricing Transparency Index ranges from 20 to over 100 in Malawi. The transparency of prices is the highest for the region but still leaves much room for improvement. Approximately 65% of borrowers benefit from loans priced transparently, receiving microloans from products that have a Transparency Index of 75/100 or above. This transparency level is explained by pricing practices consisting of multiple price components: 64% of borrowers receive loans have an interest rate calculated using the declining balance method this is higher than most other countries in the region; fees are common, with 84% of borrowers paying at least one fee in addition to the interest rate; and 75% of borrowers must also purchase insurance with their loan. In addition, 46% of borrowers must provide compulsory deposits in order to access their loan. One Fee, or No Fee No Compulsory Insurance Required No Compulsory Deposit Required 22 81% 321,534 97% 15 56% 84,379 25% 4 15% 179,335 54% Data from 10 institutions, with 27 credit products and 332,630 active clients. Calculations based on 124 loan samples. Older data is used for institutions that did not provide refreshed data. Please note that all terms that are in italic and underlined are defined in the glossary. All data used in this report can be received in Excel format (available at info@mftransparency.org) In partnership with Planet Rating MicroFinance Transparency Paris Lancaster, PA USA t: t:

2 Context: Overall transparency of microfinance in Malawi Overall, transparent practice of microfinance in Malawi is mixed. Nine of Malawi s eleven microfinance institutions provided pricing data to MFTransparency in 2013, and ten institutions did within the past two years. One of the eleven MFIs submitted data to the MIX Market in the past year, and three more did within the past two years. Only two MFIs in Malawi have been rated, neither of which were rated in the past two years. Age of Data MFT MIX Ratings MFIs Borrowers MFIs Borrowers MFIs Borrowers < 1 year 9 82% 332,630 97% 1 9% 51,308 15% 0 0% 0 0% 1-2 years 0 0% 0 0% 3 27% 79,571 23% 0 0% 0 0% 2-4 years 1 9% 540 0% 3 27% 38,347 11% 1 9% 48,013 14% > 4 years 0 0% 0 0% 0 0% 0 0% 1 9% 51,308 15% Never 1 9% 8,500 2% 4 36% 172,444 50% 9 82% 242,349 71% Totals , , ,670 Note: This table includes all institutions who submitted data to MFTransparency, submitted data to the MIX in 2010 or later with greater than a one diamond rating, or did both. Institutions that may have been rated but did not disclose their data to either MFTransparency or MIX are not included. Name of MFI Number Clients Institution Age of Data (yrs) MIX Transparency Index Number % Type MFT MIX Ratings Diamonds Change 1 MARDEF 166,575 49% NGO 0.9 N/A N/A N/A OIBM 51,308 15% Bank CUMO 48,013 14% NGO FINCA 29,847 9% NGO N/A MLF MWI 22,768 7% NGO N/A FITSE 8,790 3% NGO N/A PRIDE-MWI 8,500 2% NBFI N/A 2.5 N/A 1 N/A. 8 FINCOOP 3,731 1% Coop 0.8 N/A N/A N/A CCODE 1,598 0% NGO 0.9 N/A N/A N/A NBS 540 0% Bank 2.8 N/A N/A N/A MRFC 0 0% NBFI N/A 1 75 N/A. Note: Pride-MWI did not submit data to MFTransparency but disclosed to the MIX within the past 2.5 years. The Institutional Transparency Index is the weighted average of the Product Transparency Indices for that Institution. / 2

3 Product pricing practices in Malawi With 65% of borrowers receiving a loan with a good Transparency Index (between 76 and 100), overall pricing transparency in Malawi is the highest in the region, as calculated by MFTransparency: 36% of borrowers receive loans where interest is calculated using a flat interest method, one of the lowest percentages in the region. 84% of borrowers pay fees in addition to the interest rate 46% of borrowers must provide compulsory deposits in order to receive a loan, a relatively low percentage for the region. 75% of borrowers must buy insurance with their loan, a relatively high percentage Price Components, Malawi Totals for this data analysis Products 27 Clients 332,630 Interest Method Declining Balance 10 37% 212,227 64% Flat 17 63% 120,403 36% Interest Rate Same rate for all loans for the product 22 81% 251,308 76% Different rates for different loans 5 19% 81,322 24% Fees No fees charged 9 33% 51,992 16% 1 Fee charged 13 48% 269,542 81% 2 Fees charged 5 19% 11,096 3% 3 or more fees charged 0 0% 0 0% Insurance No Insurance required 15 56% 84,379 25% 1 Insurance required 12 44% 248,251 75% 2 or more insurance products required 0 0% 0 0% Compulsory Deposit No Compulsory Deposit required 4 15% 179,335 54% Upfront Compulsory Deposit only 22 81% 153,241 46% Ongoing Compulsory Deposits only 0 0% 0 0% Upfront & Ongoing Deposits required 1 4% 54 0% Price Structure Including one price component 0 0% 0 0% two price components 10 29% 37,126 10% three price components 8 23% 241,454 63% four price components 9 26% 54,050 14% charging all four and using flat interest 8 23% 51,744 13% Products. charging Flat or UpFront Int 17 63% 120,403 36% charging Fees 18 67% 280,638 84% charging Insurance 12 44% 248,251 75% requring Compulsory Deposit 23 85% 153,295 46% Product Transparency Index Between 0 and % 1,691 1% Between 26 and % 80,758 24% Between 51 and % 35,585 11% Between 76 and % 214,596 65% Pricing and Transparency by Loan Amount Transp FullAPR Clients % Clients MWK <50, % 57,555 17% MWK 50,001 to 150, % 35,376 11% MWK 150,001 to 250, % 67,283 20% MWK 250,001 to 350, % 67,199 20% MWK 350,001 to 450, % 59,947 18% MWK >450, % 45,809 14% Note: Presenting data on 27 products, Filtered to: Exclude products with less than 50 clients, / 3

4 Pricing transparency by institution The transparency level of microfinance institutions in Malawi is ranked in the following four categories. Their Transparency Index results from specific pricing practices detailed below: Good transparency (76<TI<100): Three institutions have a high Transparency Index, with CCODE actually exceeding the theoretically perfect score of 100. This is due to a unique practice in which they charge a low declining balance interest rate and also rebate a portion of the interest back to the borrower in the first month. This results in a calculated interest rate that is lower than the advertised nominal rate. MARDEF also has an average TI of 100, but the individual sample TI s vary, with some being lower than 100 and others being higher than 100. FINCA also has a high transparency score and recorded one of the most improved transparency scores. Average transparency (51<TI<75): Two Institutions fall in this range OIBM and NBS. OIBM is an interesting case in that two products have high transparency indices, because they use declining balance interest, and two products have transparency indices below 50, because they use flat interest. This provides a useful demonstration of how even the same institution can charge interest two different ways on their products, leading almost certainly to confusion for the borrower when they see the stated interest rates inside the institution. NBS was the only institution to not provide refreshed pricing data in 2013, a factor important to note when comparing NBS data to the other MFIs. Poor transparency (26<TI<50): Three institutions have poor transparency indices. FITSE has a relatively high 20% compulsory deposit, combined with flat interest and two upfront fees. CUMO has flat interest ranging from 54% to 72% for the same product, with fees, mandatory insurance, and also requiring a small compulsory deposit. MLF MWI has flat interest, with no fees or insurance, but with a large compulsory deposit. Very poor transparency (0<TI<25): Only one institution falls in this group. FINCOOP s six products all have flat interest, all have additional fees, all require insurance, and all require compulsory deposits, ranging as high as 50% on four of the products. This level of compulsory deposit is extremely rare, and results in a dramatic increase in the true price. For example, a typical sample of their Mpaba loan has an APR (int + fee + ins) of 88%, but when the impact of the 50% compulsory deposit is included, the Full APR (int + fee + ins + dep) increases to 297%. Further explanation on the impact of compulsory deposits on the true price of a loan is available at Institution Transparency Index Total MF Clients Total MF Portfolio Avg Loan Balance Name Institution TI Rank Number Rank Amt (USD) Rank Amt (USD) Rank Country Totals 341,670 $18,211,654 $53 28 Loan Products # Active Loan Samples Data Status Age Data (mon) 1 CCODE ,598 9 $154, $ MARDEF ,575 1 $2,550,582 3 $ FINCA ,847 4 $3,752,103 2 $ OIBM ,308 2 $6,507,423 1 $ NBS $512,821 8 $ FITSE ,790 6 $649,408 6 $ CUMO ,013 3 $593,957 7 $ MLF MWI ,768 5 $1,556,644 5 $ FINCOOP ,731 8 $267,983 9 $ MRFC N/A $0 11 $ PRIDE-MWI N/A - 8,500 7 $1,666,667 4 $196 9 N/A - No Data Note: Active loan products are defined as loan products accessed by more than 50 borrowers. Low volume products (accessed by less than 50 borrowers) are not included in the pricing analysis. The Institutional Transparency Index is the weighted average of the Product Transparency Indices for that Institution. / 4

5 Transparency and loan amount The first in the pair of graphs below presents the prices quoted to borrowers in Malawi, in terms of the nominal interest rate. The second graph presents the prices paid by borrowers, using Full APR. The full APR includes all fees (both upfront and ongoing), insurances, taxes and compulsory deposits paid by the borrower. The trend on the first graph shows that the quoted interest rate increases as loan amounts decrease, increasing from 30% to 60-90%. Because of the relatively high pricing transparency in Malawi, this is a much more noticeable price increase than in other countries in the region. The second graph is therefore not dramatically different in shape, but the prices are higher, with prices on the smallest loans being in the 100% to 175% price range. / 5

6 Transparency and full cost The graph below indicates a strong association between a loan product s price and its level of pricing transparency. As Full APR increases, the corresponding Transparency Index value decreases. The Pricing Transparency Index is MFTransparency s scale for rating the level of transparency of a price. The Index can be applied at a range of levels country, institution, product and loan. The Index shows the percentage of the loan price that is communicated by the lender s nominal interest rate to the borrower. The higher the Pricing Transparency Index rating equals the more transparent the price, with a perfect score being 100. Quoted nominal interest rate 25% Example: x 100 = x 100 = 33 Full APR (int + fee + ins + dep) 75% The higher the price of a loan, the greater the likelihood is of those pricing being hidden through non-transparent interest rate calculation methods and by the addition of costs in other ways, such as fees. To put it another way, a product generating income of 30% for the institution has a quoted interest rate of close to 30%, is often calculated as declining balance, and has a Transparency Index of close to 100. A product generating 55% of income has a quoted rate of 30% but is calculated as flat, and has a Transparency Index of 50. A product generating 80% may have 30% flat interest, some fees and a compulsory deposit, resulting in a Transparency Index of 37. Some examples in Malawi include: CUMO s Masika product has a quoted interest rate ranging between 4.5% and 6.0% per month, is calculated flat, has a 3% upfront fee, compulsory insurance costing 2% upfront, and a relatively small compulsory deposit of 5%. The Full APR of these loans average 125%, and when compared to the annualized nominal rate of 54%, yields a TI of 43. FINCA s Village Banking product has a Full APR somewhat lower, averaging 107%. However, the product is advertised at 7.0% to 7.5% declining balance interest, no fees, a smaller 0.5% compulsory insurance, and 10% compulsory deposit. The annualized quoted rate of 84% compared to the true price of 107% gives a much higher Transparency Index of 79. MARDEF s Group loan demonstrates yet more complexity. The product is advertised at an interest rate of 28% per year, and it is calculated on declining balance. Due to the existence of long grace periods where interest is not charged for the additional days, however, the product yields an APR (interest only) averaging only 25%. The product has an upfront fee of 2.4%, compulsory insurance of 0.5% upfront, and no compulsory deposit. When the fees and insurance are added in, the resulting Full APR is 28%, resulting in a product with a Transparency Index of 100%, even though it has fees and insurance. / 6

7 Loan characteristics: Loan size Loan characteristics: Loan term Microloans in Malawi are defined as loans under MLK 500,000. The data presented here shows a clear correlation between the size of the loan and its price. The graph presents loans grouped by size. The size of each data point relates to the number of borrowers who have a loan of that product in that size. The larger the data point the higher the number of borrowers who have that loan. A large range in prices is seen in smaller loan amounts (50% - 300%), while larger loan amounts show less variation (10% - 100%). Most microloans in Malawi have a loan term less than 12 months. Prices fall as the loan term increases, consistent with the comparatively lower operating cost ratio for longer loans. Similarly to the effect of loan size, the graph below indicates that loans with shorter loan terms have a much wider range of Full APRs when compared to longer term loans. The Transparency Index shown in the tables for both loan size and loan term shows that the higher the Full APR of the loan, the less transparently the loan is priced. Larger loans and longer loans are priced more transparently and have lower prices. Loan Amt Ranges 1:<50,000 2:<150,000 3:<250,000 4:<350,000 5:<450,000 6:>450,001 By Segment # Samples Avg Price 136% 101% 81% 123% 69% 89% Transp Index Loan Term 1:<=4m 2:>4 and <=8m 3:>8 and <=12m 4:>12 and <=18m 5:>18 and <=24m # Samples :>24m Avg Price 184% 115% 132% 83% 16% 41% Transp Index By Segment The size of each data point relates to the number of borrowers who have a loan of that product in that size. The larger the data point the higher the number of borrowers who have that loan. / 7

8 Loan characteristics: Matrix of price by loan size and loan term Loan characteristics: Loan purpose The matrix presents the prices (Full APR) calculated using original loan documentation representing real loans given to actual borrowers in Malawi. The higher the price, the darker the shading is. In Malawi, the highest prices are seen on the top left of the matrix (smallest loans, shortest terms), and the lowest on the bottom right (largest loans, longest terms). This reflects the fact that the pricing of products partially depends on their level of operating expenses and that the operating expense ratio increases dramatically for smaller loans and for shorter loans. The vast majority of microloan products on offer in Malawi are designed for business purposes, with over 70% of total loan products designed for business specifically. Loans designed for general consumption, housing, education, and emergency purposes are very rare, although many loans designed for business may in practice be used for a wide array of purposes. The most expensive loans are aimed at emergency, any-purpose, and multiple-purpose loans. Housing loans presented the lowest priced loan by purpose, most likely due to the long term nature of the loan. Loan Amounts Loan Terms (in months) Purpose 1:Business 2:Housing 3:Consumer 4:Emergency MWK USD < >18 All terms <50,000 <$ % 64% 164%. 11% 140% 50,001 to 150,000 $129 to $ %. 200%. 21% 101% 150,001 to 250,000 $386 to $641 95%. 61%.. 78% 250,001 to 350,000 $898 to $1, %. 103%.. 103% 350,001 to 450,000 $1,155 to $1,282 71% % >450,000 >$1,282 82%. 93% 102%. 89% All amounts 140% 71% 124% 83% 23% 117% 5:Any Purpose 6:Mult Purpose # Samples Avg Price 97% 11%. 305% 178% 254% Transp Index By Segment There are some exceptions to the gradation trend of prices relative to loan amount and term. In uncommon combinations, the price shown may be taken from samples from a single product, as is the case here for the 6-9 month loan term. In this instance, the average price of this loan category drops because that one product has a relatively low price. As the category average is not calculated from a range of products this trend cannot be considered representative. / 8

9 MFI characteristics: Loan portfolio scale MFI characteristics: Institution type The majority of samples collected in Malawi were from institutions with a total portfolio of less than 1 million USD, with only one institution (OIBM) with a portfolio scale larger than 5 million USD. The data below shows a dramatic decrease in prices between the first portfolio-scale range and the following ones, with only a modest systematic drop in the average price for each segment. This could be attributed to efficiency gains created by the larger institutions and the resultant lower operating costs being passed onto the borrower in the form of reduced prices, however only one institution has a total portfolio of less than 0.5 million USD so this conclusion is difficult to draw. The majority of samples collected were from non-governmental organizations (NGOs), which are typically non-profit making and non-regulated. Cooperatives and banks form a smaller segment of the Malawian microfinance market. The highest range of prices is from FINCOOP, the only cooperative in the Malawi dataset. The Full APR is relatively high because of the very large 50% compulsory deposit required on several of their loan products. The two Banks (OIBM and NBS) have average prices and Transparency Indexes similar to the NGOs. In other countries, banks generally have larger loan amounts than NGOs, resulting in lower prices than NGOs. In this case, the banks are working in the same market as the NGOs. Portfolio Scale 1:<$0.5M 2:<$1.0M 3:<$3.0M 4:<$5.0M 5:<$10.0M 6:>$10.0M By Segment # Samples Avg Price 232% 64% 91% 83% 72%. Transp Index Inst Type 1:NGO 2:Coop 3:Bank 4:Rural Bank 5:NBFI 6:Other By Segment # Samples Avg Price 76% 232% 68%... Transp Index / 9

10 Pricing trends in Malawi A detailed table on pricing trends of each product is included in Appendix 3. Additional details are available by requesting the full TILT tables from MFTransparency at info@mftransparency.org. A close study of this table, along with other data and information presented in this report, illustrates why any general conclusions about pricing trends must be done with great care. It is far from easy to determine Are prices going up or down in Malawi? or Did the true price of this product really change? The main reasons for this include: Range in prices and the Spread Index: A product rarely has one true price. Prices of a product will vary due to the composition of the pricing components and how they interact with loan amount, loan term, grace periods, and other factors. The only loan product that has one universal Full APR is a loan with a declining balance interest rate and no other charges. Every other price factor complicates the price, sometimes quite dramatically. Examining the Pricing Table (Appendix 2) shows that the products in Malawi do not have very wide ranges in the Full APRs of the samples, relative to the spreads in other countries in the region. The Spread Index columns in that table are a valuable indication of how reliable the average price is for describing all loans in that product. For example, MARDEF s Group Loan has sample prices range from 25% to 31%, showing a Spread Index of 25 (calculated as (31-25) / 25). Inconsistent loan sample attributes: The graphs in this analysis report show the prices of every loan sample, but the tables summarize these prices into the average Full APRs. Comparing the average Full APR price of a product over time to identify change can potentially give inaccurate conclusions. The loan samples used for pricing calculations in the first round of data are not always identical to those used for the second round of analysis, varying in both loan amount and loan term amongst other attributes. Pricing components are sensitive to these loan sample attributes; for example, a large upfront fee will have more impact on shorter term loans than longer term ones resulting in a higher APR on shorter loans. A drop in the average Full APR seen in the tables may be due to a difference in attributes of the loan samples used for the pricing calculations in each year rather than due to a drop in prices. The most precise means of determining change in prices would be to take exactly the same loan, with exactly the same repayment schedule and calculate the Full APR last year and this year, and then to repeat that process with more samples. In actuality, if pricing conditions changed, it may well be that some loans have a lower price while some loans have a higher price within the same loan product. These are the realities when loan prices are not based solely on declining balance interest. Increasing loan sizes over time: An MFI may leave the price components of a product unchanged but shift toward gradually larger loan sizes, resulting in a lower Full APR. This is a common occurrence over time; a fact documented in other MFTransparency resources that disprove arguments that MFIs have lower efficiency ratios over time solely due to increased scale and increased competition. Drops in efficiency ratios (and sometimes accompanying drops in portfolio yield) are usually the result of increases in average loan balance. Click here for more information on this. The problem with averages: As highlighted above, determining the price change of a single product is complex, and when extrapolating to analyze the price changes of an MFI with multiple products, or price changes within an entire country, one encounters a large number of complex assumptions that must be taken into consideration. The same issues with Full APR also hold true for determining the average Transparency Index of a product and of an institution s blend of products. Those products with a high Spread Index have a wide range of prices and have a correspondingly wide range of Transparency Indices. MFTransparency is currently investigating adapting the Transparency Index accordingly in the future to provide a more accurate indicator of the range of transparency of a true microloan price. / 10

11 Appendix 1: List of participating institutions Institution Data Avg Loan Bal (Rank) Client Distribution by Loan Amount (Nat'l Currency) Status Number Prods Totals Less Than 50, , , ,001 More than Price by Loan Client Distribution Age (mon) Amt (USD) # 50, , , , , ,000 Amount Inst Dist Country Dist Country Total $53 Clients 333,170 57,555 35,376 67,283 67,199 59,947 45,809 Products: 28 Avg Price 116% 136% 101% 81% 123% 69% 89% Transp Ind # samples MARDEF $15 (3) Clients 166,575 33,315 49,973 49,973 33,315 9 Products: 1 Avg Price 28%. 30%. 26%. 25% # samples OIBM $175 (8) Clients 51, ,680 13,741 14,807 8,167 6,312 8 Products: 4 Avg Price 72% 78% 79% 73% 39% 67% 73% # samples CUMO $12 (2) Clients 48,013 19,679 14,167 14,167 9 Products: 2 Avg Price 108% 103% 125% 125%... # samples FINCA $126 (7) Clients 29,847 11,716 8,954 5,304 1,826 1, Products: 3 Avg Price 83% 94% 84% 86% 79% 71% 69% # samples MLF MWI $70 (4) Clients 22,768 19,887 2, Products: 3 Avg Price 112% 107% 121% 107%... # samples FITSE $74 (6) Clients 8,790 2,644 5, Products: 4 Avg Price 87% 85% 90%. 91%. 93% # samples PRIDE-MWI $196 (9) Clients 8,500 N/A Products: N/A Avg Price # samples FINCOOP $73 (5) Clients 3,731 2, Products: 6 Avg Price 232% 245% 212%. 209%. 206% # samples CCODE $402 (10) Clients 1, Products: 4 Avg Price 12% 13% 11%.... # samples NBS $974 (11) Clients Products: 1 Avg Price 38%.. 38% 38%. 38% # samples MRFC $0 (1) Clients 0 9 Products: 0 Avg Price # samples / 11

12 Appendix 2: Pricing per product Note: this table is a summary of pricing data collected for each MFI for all loans products provided to more than 50 borrowers. For access to all data, please info@mftransparency.org. Abbreviations: up stands for up-front; on stands for on-going. Inst & Product Target Group Loan Amounts Pricing (FullAPR) Nominal Interest Rate Fees Insurance Compulsory Deposit Institution Product NumClients % Tot Avg Bal Amt (Min) Amt (Max) Min & Max Avg APR Spread Transp Ind Current Descrip Current Description CUMO Fumba 790 2% $39 10,000 50,000 80%-80% 80% %, Flat 3% up 2.00% up 5.0% up CUMO Masika 47,223 98% $12 2, , %-125% 125% %-72.0%, Flat 3% up 2.00% up 5.0% up FINCOOP Mpamba % $150 6,000 1,500, %-297% 254% %-42.0%, Flat 3% up 2.00% up 50.0% up FINCOOP Mwai wa Mayi 1,240 33% $26 5, , %-178% 178% %, Flat 3% up 2.00% up 33.3% up FINCOOP Phindu % $44 5, , %-180% 178% %, Flat 3% up 2.00% up 33.3% up FINCOOP Pompopompo 122 3% $29 1,120 30, %-308% 305% %, Flat 3% up 2.00% up 50.0% up FINCOOP Umphawi % $93 5,000 1,500, %-304% 271% %, Flat 3% up 2.00% up 50.0% up FINCOOP Payroll % $124 5,000 1,500, %-291% 237% %, Flat 3% up 2.00% up 50.0% up FITSE Agric % $61 5, ,000 64%-70% 66% %, Flat 3% up 500 up None 20.0% up FITSE Agric % $117 5, ,000 63%-79% 69% %, Flat 3% up 500 up None 20.0% up FITSE Business 2 7,792 89% $66 5, , %-140% 121% %, Flat 3% up 500 up None 20.0% up FITSE Business % $573 5,000 2,000,000 91%-93% 92% %, Flat 3.50% up 500 up None 10.0% up 10% on FINCA Idv Business 2,221 7% $355 50,000 4,500,000 63%-71% 67% %-67.2%, Decl 1.50% up None None FINCA Village Bkg 20,635 69% $91 5, , %-118% 107% %-90.0%, Decl None 0.50% up 10.0% up FINCA Small Grp 6,991 23% $156 40, ,000 74%-77% 75% %, Decl None 0.50% up None MARDEF Group 166, % $15 150, ,000 25%-31% 28% %, Decl 2.40% up 0.50% up None MLF MWI Bridging 355 2% $279 65, , %-108% 107% %, Flat None None 20.0% up MLF MWI Irrigation 1,425 6% $82 18,000 80,000 46%-84% 69% %, Flat None None 10.0%-20.0% up MLF MWI Standard 20,988 92% $64 18,000 80, %-167% 159% %, Flat None None 10.0%-20.0% up NBS SME % $ ,000 1,500,000 38%-38% 38% %-36.0%, Decl 1%-3% up None None OIBM Agriculture 10,659 21% $ ,000 50,000,000 39%-39% 39% %-40.0%, Decl 2% up None 15.0% up OIBM Maziko 34,795 68% $47 140,000 2,800,000 91%-94% 93% %, Flat 3.50% up None 15.0% up OIBM Mzati 2,306 4% $724 50,000 1,000,000 92%-145% 106% %, Flat 3.50% up 250 up up 15.0% up OIBM Payroll 3,548 7% $371 15,000 4,000,000 35%-46% 41% %, Decl 3% up None None CCODE Business 139 9% $17 10,000 10,000 17%-17% 17% %, Decl None None 10.0% up CCODE Home % $12 20,000 20,000 11%-11% 11% %, Decl None None 10.0% up CCODE Sanitation % $153 40, ,000 11%-11% 11% %, Decl None None 10.0% up CCODE Water % $58 18, ,000 11%-11% 11% %, Decl None None 10.0% up / 12

13 Appendix 3: Pricing trend Note: this table is a summary of pricing data collected for each MFI for all loans products provided to more than 50 borrowers. The data is presented only for products for which data is available during the first and the second data collections. For access to all data, please info@mftransparency.org. Abbreviations: up stands for up-front; on stands for on-going. Inst & Product Number of Clients Transparency Index Spread Index FullAPR (Avg) Quoted Interest Rate Compulsory Fees Compulsory Insurance Security Dep Description Institution Product Change Change Change CUMO Fumba 6, % 80% 4% 60% FL 60% FL 3% up None 2.00% up N/A 5.0% up CUMO Masika 32,525 47, % 125% 17% 48%-72% FL 54%-72% FL 6% 3% up None 2.00% up 5.0% up 5.0% up FINCOOP Mpamba 9, % 254% 184% 32% FL 32%-42% FL / 10% 30% up 3% up None 2.00% up N/A 50.0% up FINCOOP Mwai wa Mayi 5,989 1, % 178% 105% 36% FL 45% FL 9% 30% up 3% up None 2.00% up N/A 33.3% up FINCOOP Phindu 4, % 178% 105% 30% FL 45% FL 15% 30% up 3% up None 2.00% up N/A 33.3% up FINCOOP Pompopompo % 305% 218% 36% FL 36% FL 30% up 3% up None 2.00% up N/A 50.0% up FINCOOP Umphawi %. 42% FL. 3% up. 2.00% up. 50.0% up FINCOOP Payroll %. 38% FL. 3% up. 2.00% up. 50.0% up FITSE Agric 1 1, % 66% 38% 48% FL 54% FL 6% 30% up 3% up 500 up None None 20.0% up 20.0% up FITSE Agric % 69% 29% 48% FL 54% FL 6% 30% up 3% up 500 up None None 20.0% up 20.0% up FITSE Business 2 1,100 7, % 121% -9% 48% FL 48% FL 30% up 3% up 500 up None None 20.0% up 20.0% up FITSE Business %. 42% FL. 3.50% up 500 up. None. 10.0% up 10% on FINCA Idv Business 1,202 2, % 67% -8% 42% FL 60%-67% DB Method 1,5000 up 1.50% up 1.50% up None None N/A N/A FINCA Village Bkg 16,129 20, % 107% -22% 60% FL 84%-90% DB Method None None 0.50% up 10.0% up 10.0% up FINCA Small Grp. 6, %. 78% DB. None. 0.50% up. N/A MARDEF Group 11, , % 28% -8% 15% FL 28% DB Method 2.40% up 2.40% up 0.50% up 0.50% up N/A N/A MLF MWI Bridging % 107% 4% 48% FL 48% FL None None None None 20.0% up 20.0% up MLF MWI Irrigation 1,361 1, % 69% -10% 57% FL 57% FL None None None None 10.0% up 10.0%-20.0% up MLF MWI Standard 19,891 20, % 159% -19% 60% FL 60% FL None None None None 20.0% up 10.0%-20.0% up NBS SME %. 24%-36% DB. 1%-3% up. None. N/A OIBM Agriculture 6,750 10, % 39% 3% 26%-27% DB 37%-40% DB 11% / 13% 2% up None None 15.0% up 15.0% up OIBM Maziko 29,921 34, % 93% 14% 36% FL 49% FL 13% 2.50% up 3.50% up None None 15.0% up 15.0% up OIBM Mzati 3,878 2, % 106% 24% 22%-30% FL 42% FL 20% / 12% 2.50% up ,5000 up 3.50% up 250 up None up 15.0% up 15.0% up OIBM Payroll 6,228 3,548 N/A N/A 41%. 25% DB 45% DB 21% 20% up 3% up None None N/A N/A CCODE Business % 17% 0% 24% DB 24% DB None None None None N/A 10.0% up CCODE Home % 11% -5% 12% DB 12% DB None None None None N/A 10.0% up CCODE Sanitation % 11% -6% 12% DB 12% DB None None None None N/A 10.0% up CCODE Water %. 12% DB. None. None. 10.0% up / 13

14 Glossary Compulsory Deposit - A requirement for borrowers to set aside funds as a condition on receiving the loan. Full APR This is the true price of the loan paid by the borrower in annualized terms. The full annualized percentage rate includes the impact of interest, all fees paid by the borrower (both upfront and ongoing), all compulsory insurances fees paid, all taxes and all compulsory deposits (sometimes called savings ) required from the borrower. Full APR = interest + fees + insurance + tax + compulsory deposit. The calculation is done on a discounted cash flow method and the result is annualized using a nominal annualization process (e.g., 1%/month x 12 months = 12% per year) rather than by compounding (e.g., 1% per month -> (1.01)^12-1 = 12.7%). Graph legend the legend at the top of each graph shows the number of data points present in each category shown on the graph. The legend changes for each graph. The figure in parentheses indicates the number of data points for that category. Interest rate: declining balance - Interest calculation based on the outstanding loan balance the balance of money that remains with the borrower as the loan is repaid during the loan term. Interest rate: flat method - Interest calculation based on the original loan amount throughout the loan term rather than on the money the borrower actually has. Low Volume Product Products with less than 50 borrowers are considered as low volume products, and are not included in the pricing analysis. Loan Sample these are examples of real loans given to actual borrowers. MFTransparency collects loan documentation (scans/print-outs of repayment schedules and loan contracts) from the microfinance institutions and uses these to calculate the price paid by the borrower. Loan Segmentation the size ranges used to categorize loans vary for each country but are consistent within the country. There are 6 segments of loan size, categorizing loans by their disbursement amount. For example if the biggest loan is 100,000 then the segments are: 1) loans under 8,000 (8%), 2) loans between 8% to 30,000 (30%), 3) loans between 30% to 50,000 (50%), 4) loans between 50% to 70,000 (70%), 5) loans between 70% to 90,000 (90%), and 6) between 90% -105,000. Microloan Credit products issued by microfinance institutions that fall under a specified size limit. Microloans are defined by their size rather than by other attributes such as loan purpose. The size limit varies for each country. Where country-specific legislation does not specify an upper size limit for microloans, MFTransparency determines a suitable maximum loan size in conjunction with other industry actors. MFI (Microfinance Institution) A financial institution or microfinance provider that has at least one micro-loan product. Nominal Interest Rate - The interest rate details as quoted by the institution to the borrower. This is annualized for the purposes of the analysis graphs. If a product is advertised with an interest rate of from 18% to 22% then the 18% figure is used in the calculations. Participation Rate - The market share (in terms of borrowers) represented by the institutions that have disclosed their transparent prices in the respective country. Product Eligibility - The characteristics that borrowers must meet in order to be eligible to receive a loan product; for example, if the loan is available to both males and females, if they need to be a salaried employee, if they need to be in a certain age range, etc. Portfolio Size - An approximation of the outstanding principle for all outstanding client loans, including current, delinquent and restructured loans, but not loans that have been written off or employee loans. Pricing Transparency Index - A scale for rating the level of transparency of a true price. The Index can be applied at a range of levels country, institution, product and loan. It is calculated as the nominal annual interest rate divided by the Full APR of that loan, e.g., a product advertised as 20% interest rate and with a Full APR of 50% would have a Transparency Index of 20% / 50% x 100 = 40. A perfect score is 100. For Institution and Country Indices, MFT generates weighted averages based on clients in each product. Product Purpose - The purposes for which the loan product can be used, for example for business (income generation) purposes, emergency purposes, consumption, education, housing, agriculture or multiple purpose loans. Size of data points (bubbles) each bubble represents the price of one loan sample. The size of the data point relates to the number of borrowers who have a loan at that size. For countries where MFTransparency does not have borrowernumber data, all data points are presented in uniform size. Spread Index Calculates how broad the range of sample prices are, calculated as (Highest Lowest) / Lowest x 100. A small number means a small range of prices for that product. Total Cost of Credit - Total amount paid by the borrower for the loan including all fees and other charges from the lender. Transparent Pricing Initiative Country-by-country projects that collect and disclose details of credit products on offer in each country, with a particular focus on disclosure of the prices paid by borrowers for these products. Details of these loan products are voluntarily disclosed by the microfinance institutions. / 14

15 Promoting Transparent Pricing in the Microfinance Industry Read more on Research papers and microfinance sector overviews are publicly available, contributing to the knowledge-sharing among microfinance practitioners, researchers and students Rating reports and country studies may be purchased per unit or through Planet Rating s subscription service during the 24- month period following their publication. After the initial 24-month validity, rating reports are made freely available in an effort to contribute to further transparency in the microfinance industry. To download our reports please create a free user account on Planet Rating s website, or contact us to learn more about Planet Rating s subscription service. rating@planetrating.com Read more on MicroFinance Transparency (MFTransparency) facilitates microfinance pricing disclosure, offers policy advisory services and develops training and education materials for all market stakeholders. Representing an industry movement toward responsible pricing practices, MFTransparency has worked in 29 countries, with pricing data submitted voluntarily by over 500 institutions representing loan products sold to nearly 50 million clients. Transparent Pricing Data visit the TILT (Truth in Lending Tables) Data Platform. Transparent Pricing Resources visit the Resources Library for educational content. Transparent Pricing Developments - visit the News & Features section of MFTransparency s website. info@mftransparency.org / 15

Tanzania. Microfinance pricing analysis. Date: September Executive summary

Tanzania. Microfinance pricing analysis. Date: September Executive summary Microfinance pricing analysis Tanzania Date: September 2013 Loan Amounts Transparency Avg Full Clients TZS USD Index APR Number Percent

More information

SPI4 - APR Estimation Tool

SPI4 - APR Estimation Tool SPI4 - APR Estimation Tool Microfinance Transparency: The true price of a loan includes not only interest but other charges required by the lender as well as other techniques that influence the amount

More information

Transparent Pricing Progress:

Transparent Pricing Progress: Promoting Transparent Pricing in the Microfinance Industry Transparent Pricing Progress: How to Understand the Prices We Charge SPM Essentials April 2012 Agenda 1. Introduction to the confusing world of

More information

Explanation of Compartamos Interest Rates

Explanation of Compartamos Interest Rates Explanation of Compartamos Interest Rates Chuck Waterfield Version 2: 19 May 2008 For a full year, I have seen consistent confusion over what interest rate Compartamos charges its clients. They generally

More information

Session II: Overview of MFTransparency and the Transparent Pricing Initiative

Session II: Overview of MFTransparency and the Transparent Pricing Initiative Promoting Transparent Pricing in the Microfinance Industry Session II: Overview of MFTransparency and the Transparent Pricing Initiative Philippines March 2011 What is Transparent Pricing? Transparent

More information

FINANCIAL INCLUSION IN MALAWI (FIMA) PROJECT. Terminal Report

FINANCIAL INCLUSION IN MALAWI (FIMA) PROJECT. Terminal Report FINANCIAL INCLUSION IN MALAWI (FIMA) PROJECT Terminal Report PROJECT ID: MWI 000557581 PROJECT TITLE: Financial Inclusion in Malawi (FIMA) Project IMPLEMENTING PARTNER: Ministry of Finance Contents 1.

More information

M icrofinance Invest ment T ransparency and Evaluat ion

M icrofinance Invest ment T ransparency and Evaluat ion July 20, 2011 After Hours Seminar M icrofinance Invest ment T ransparency and Evaluat ion microlinks.kdid.org/afterhours Sebastian von Stauffenberg MicroRate Participate during the seminar #MLevents Follow

More information

Who Does Formal Finance Reach in Rural Malawi?

Who Does Formal Finance Reach in Rural Malawi? FINANCIAL SERVICES ASSESSMENT Who Does Formal Finance Reach in Rural Malawi? SARAH ADELMAN AND GEETHA NAGARAJAN IRIS CENTER, UNIVERSITY OF MARYLAND DECEMBER 10, 2009 Financial Services Assessment project

More information

Microfinance TRAPS. The Microfinance Transparent Pricing Supervision Handbook. June A publication sponsored by

Microfinance TRAPS. The Microfinance Transparent Pricing Supervision Handbook. June A publication sponsored by Microfinance TRAPS The Microfinance Transparent Pricing Supervision Handbook June 2013 A publication sponsored by TRAPS Transparent Pricing Supervision Handbook Microfinance Transparency The microfinance

More information

Lesson Description. Texas Essential Knowledge and Skills (Target standards) Texas Essential Knowledge and Skills (Prerequisite standards)

Lesson Description. Texas Essential Knowledge and Skills (Target standards) Texas Essential Knowledge and Skills (Prerequisite standards) Lesson Description Students learn how to compare various small loans including easy access loans. Through the use of an online calculator, students determine the total repayment as well as the total interest

More information

September. EMN POLICY NOTE on the EMN Overview of the Microcredit Sector in the European Union

September. EMN POLICY NOTE on the EMN Overview of the Microcredit Sector in the European Union September 2014 EMN POLICY NOTE on the EMN Overview of the Microcredit Sector in the European Union 2012-13 EMN POLICY NOTE Steady growth of microcredit provision in value and number of microloans surveyed

More information

Housing Microfinance in Tanzania

Housing Microfinance in Tanzania Housing Microfinance in Tanzania Eugen Doce 08.10.2012 F r a n k f u r t S c h o o l. d e Content Structuring of survey and questionnaire Major findings Need for Housing Microfinance Fund? 2 Structuring

More information

DRAFT. A microsimulation analysis of public and private policies aimed at increasing the age of retirement 1. April Jeff Carr and André Léonard

DRAFT. A microsimulation analysis of public and private policies aimed at increasing the age of retirement 1. April Jeff Carr and André Léonard A microsimulation analysis of public and private policies aimed at increasing the age of retirement 1 April 2009 Jeff Carr and André Léonard Policy Research Directorate, HRSDC 1 All the analysis reported

More information

AAP LIFE SETTLEMENT MARKET REVIEW

AAP LIFE SETTLEMENT MARKET REVIEW AA-Partners Ltd. Witikonerstrasse 36 8032 Zurich/ Switzerland www.aa-partners.ch AAP LIFE SETTLEMENT MARKET REVIEW August 2011 Copyright by AA-Partners Ltd. 2012 2 TABLE OF CONTENTS LIFE SETTLEMENT MARKETS

More information

Comparison of U.S. Stock Indices

Comparison of U.S. Stock Indices Magnus Erik Hvass Pedersen Hvass Laboratories Report HL-1503 First Edition September 30, 2015 Latest Revision www.hvass-labs.org/books Summary This paper compares stock indices for USA: Large-Cap stocks

More information

Recommendations for Proportionate Regulation and Supervision of Microfinance. Thursday, 13 January, 2011 UNCITRAL Colloquium on Microfinance

Recommendations for Proportionate Regulation and Supervision of Microfinance. Thursday, 13 January, 2011 UNCITRAL Colloquium on Microfinance Recommendations for Proportionate Regulation and Supervision of Microfinance Thursday, 13 January, 2011 UNCITRAL Colloquium on Microfinance Outline of discussion I. The Basics II. Prudential Regulation

More information

Promo-ng Transparent Pricing in the Microfinance Industry. Rwanda Data Launch. Hosted by MFTransparency and AMIR

Promo-ng Transparent Pricing in the Microfinance Industry. Rwanda Data Launch. Hosted by MFTransparency and AMIR Promo-ng Transparent Pricing in the Microfinance Industry Rwanda Data Launch Hosted by MFTransparency and AMIR Webinar September 27 th, 2011 enabling APR & EIR Program enabling Africa to Price Responsibly

More information

We will use an example which will result in a paired t test regarding the labor force participation rate for women in the 60 s and 70 s.

We will use an example which will result in a paired t test regarding the labor force participation rate for women in the 60 s and 70 s. Now let s review methods for one quantitative variable. We will use an example which will result in a paired t test regarding the labor force participation rate for women in the 60 s and 70 s. 17 The labor

More information

Kyrgyz Republic: Borrowing by Individuals

Kyrgyz Republic: Borrowing by Individuals Kyrgyz Republic: Borrowing by Individuals A Review of the Attitudes and Capacity for Indebtedness Summary Issues and Observations In partnership with: 1 INTRODUCTION A survey was undertaken in September

More information

Measures of Center. Mean. 1. Mean 2. Median 3. Mode 4. Midrange (rarely used) Measure of Center. Notation. Mean

Measures of Center. Mean. 1. Mean 2. Median 3. Mode 4. Midrange (rarely used) Measure of Center. Notation. Mean Measure of Center Measures of Center The value at the center or middle of a data set 1. Mean 2. Median 3. Mode 4. Midrange (rarely used) 1 2 Mean Notation The measure of center obtained by adding the values

More information

APPENDIX A: FINANCIAL ASSUMPTIONS AND DISCOUNT RATE

APPENDIX A: FINANCIAL ASSUMPTIONS AND DISCOUNT RATE Seventh Northwest Conservation and Electric Power Plan APPENDIX A: FINANCIAL ASSUMPTIONS AND DISCOUNT RATE Contents Introduction... 2 Rate of Time Preference or Discount Rate... 2 Interpretation of Observed

More information

CLIENT PROTECTION CERTIFICATION Report for Crédito con Educación Rural - CRECER La Paz, Bolivia

CLIENT PROTECTION CERTIFICATION Report for Crédito con Educación Rural - CRECER La Paz, Bolivia CLIENT PROTECTION CERTIFICATION Report for Crédito con Educación Rural - CRECER La Paz, Bolivia Certified in January 2014 Mission Conducted by Planet Rating Certified financial institutions have demonstrated

More information

IS TRANSPARENCY ENOUGH? WHAT IS FAIR AND ETHICAL WHEN IT COMES TO PRICES IN MICROFINANCE?

IS TRANSPARENCY ENOUGH? WHAT IS FAIR AND ETHICAL WHEN IT COMES TO PRICES IN MICROFINANCE? 2011 Global Microcredit Summit Commissioned Workshop Paper November 14-17, 2011 Valladolid, Spain IS TRANSPARENCY ENOUGH? WHAT IS FAIR AND ETHICAL WHEN IT COMES TO PRICES IN MICROFINANCE? Written by: Chuck

More information

CUNA/LEAGUE 2015 EXAM SURVEY REPORT February 2016

CUNA/LEAGUE 2015 EXAM SURVEY REPORT February 2016 CUNA/LEAGUE 2015 EXAM SURVEY REPORT February 2016 Prepared by: Mike Schenk Connie Dey-Marcos Jon Haller SURVEY METHODS and RESPONDENT PROFILE In October, 2015, CUNA s News Now included an article reminding

More information

PRIORITIES IN CREDIT INFORMATION REGULATION & APPLICATION IN BANK SUPERVISION GABRIEL DAVEL

PRIORITIES IN CREDIT INFORMATION REGULATION & APPLICATION IN BANK SUPERVISION GABRIEL DAVEL PRIORITIES IN CREDIT INFORMATION REGULATION & APPLICATION IN BANK SUPERVISION GABRIEL DAVEL TABLE OF CONTENTS Great Promise Value for Banks Value for Supervisors Risks Priorities Promise: Credit Information

More information

Mortgage terminology.

Mortgage terminology. Mortgage terminology. Adjustable Rate Mortgage (ARM). A mortgage on which the interest rate, after an initial period, can be changed by the lender. While ARMs in many countries abroad allow rate changes

More information

How to Find and Qualify for the Best Loan for Your Business

How to Find and Qualify for the Best Loan for Your Business How to Find and Qualify for the Best Loan for Your Business With so many business loans available to you these days, where do you get started? What loan product is right for you, and how do you qualify

More information

Shopping for an Automobile Loan. What Do I Need to Know?

Shopping for an Automobile Loan. What Do I Need to Know? Shopping for an Automobile Loan What Do I Need to Know? Automobiles 2 nd most expensive purchase for most consumers Usually purchased with Loan / credit Or cash if you have enough (uncommon) Ask yourself:

More information

PWBM WORKING PAPER SERIES MATCHING IRS STATISTICS OF INCOME TAX FILER RETURNS WITH PWBM SIMULATOR MICRO-DATA OUTPUT.

PWBM WORKING PAPER SERIES MATCHING IRS STATISTICS OF INCOME TAX FILER RETURNS WITH PWBM SIMULATOR MICRO-DATA OUTPUT. PWBM WORKING PAPER SERIES MATCHING IRS STATISTICS OF INCOME TAX FILER RETURNS WITH PWBM SIMULATOR MICRO-DATA OUTPUT Jagadeesh Gokhale Director of Special Projects, PWBM jgokhale@wharton.upenn.edu Working

More information

TRANSPARENT PRICING INITIATIVE IN INDIA

TRANSPARENT PRICING INITIATIVE IN INDIA PRICING DATA REPORT TRANSPARENT PRICING INITIATIVE IN INDIA 26 January 2011 SPONSORS The Transparent Pricing Initiative in India is sponsored by MFTransparency would like to extend a special thank you

More information

Retirement. Optimal Asset Allocation in Retirement: A Downside Risk Perspective. JUne W. Van Harlow, Ph.D., CFA Director of Research ABSTRACT

Retirement. Optimal Asset Allocation in Retirement: A Downside Risk Perspective. JUne W. Van Harlow, Ph.D., CFA Director of Research ABSTRACT Putnam Institute JUne 2011 Optimal Asset Allocation in : A Downside Perspective W. Van Harlow, Ph.D., CFA Director of Research ABSTRACT Once an individual has retired, asset allocation becomes a critical

More information

Putting Things Together Part 2

Putting Things Together Part 2 Frequency Putting Things Together Part These exercise blend ideas from various graphs (histograms and boxplots), differing shapes of distributions, and values summarizing the data. Data for, and are in

More information

Giliberto Levy Commercial Mortgage Performance Index Monitor 4Q 2015 Results and Analysis

Giliberto Levy Commercial Mortgage Performance Index Monitor 4Q 2015 Results and Analysis Giliberto Levy Commercial Mortgage Performance Index Monitor 4Q 2015 Results and Analysis Table of Contents Market Overview.1 Pricing Trends: 4Q 2015. 2 Credit Effects..3 Relative Performance...3 Lending

More information

Visualizing 360 Data Points in a Single Display. Stephen Few

Visualizing 360 Data Points in a Single Display. Stephen Few Visualizing 360 Data Points in a Single Display Stephen Few This paper explores ways to visualize a dataset that Jorge Camoes posted on the Perceptual Edge Discussion Forum. Jorge s initial visualization

More information

An Application of the High-Low Spread Estimator to Non-U.S. Markets using Datastream

An Application of the High-Low Spread Estimator to Non-U.S. Markets using Datastream An Application of the High-Low Spread Estimator to Non-U.S. Markets using Datastream Shane A. Corwin and Paul Schultz February 29 Corwin and Schultz (29) derive an estimator for the bid-ask spread based

More information

UNIT 7 3 Applying for a Home Mortgage

UNIT 7 3 Applying for a Home Mortgage UNIT 7 3 Applying for a Home Mortgage Regardless of where you get your mortgage, the issuer is not likely to keep the mortgage for the duration of the loan. So, if you get your mortgage at a local bank,

More information

An Analysis of Lending Program Data

An Analysis of Lending Program Data MicroTest Performance FY2005 An Analysis of Lending Program Data Welcome to a summary analysis and presentation of selected MicroTest program performance statistics for FY2005. The data were collected

More information

MORTGAGE Sage By B & I Computer Consultants, Inc. ( 1

MORTGAGE Sage By B & I Computer Consultants, Inc. (  1 MORTGAGE Sage (Rent versus Buy Calculator) B & I Computer Consultants, Inc. www.bandisoftware.com (301) 537 4754 INTRODUCTION: Many people have asked whether they should buy a home or continue to rent?

More information

Drive Away Happy: Car Buying Decisions

Drive Away Happy: Car Buying Decisions Drive Away Happy: Car Buying Decisions Buy new, buy used, or lease? These are just a few of the many decisions you ll need to make before happily driving away with a vehicle. While shopping for a car or

More information

EBRD JORDAN MSME FRAMEWORK INCREASING MSMES ACCESS TO FINANCE IN JORDAN WHAT

EBRD JORDAN MSME FRAMEWORK INCREASING MSMES ACCESS TO FINANCE IN JORDAN WHAT EBRD JORDAN MSME FRAMEWORK INCREASING MSMES ACCESS TO FINANCE IN JORDAN WHAT THE MARKET SAYS? MR. MERT DEDEBAS 10 MARCH,2016 AMMAN -JORDAN WHY SME BANKING? Risk Management Profitability WHY SME BANKING?

More information

Unravelling the Maze of Student Loans

Unravelling the Maze of Student Loans Unravelling the Maze of Student Loans Unravelling the Maze of Student Loans - Page 1 BY: Leona Lai INTRODUCTION This guide will help demystify the student loan process for you. You re about to invest in

More information

Biometric and Financial Innovations in Rural Malawi

Biometric and Financial Innovations in Rural Malawi RESPID: Biometric and Financial Innovations in Rural Malawi Savings Survey March/April 2009 Z01 District (01=Dowa, 02=Kasungu, 03 = Ntchisi, 04 = Mzimba) Z05 Enumerator name Z02 Traditional Authority (TA)

More information

CSAF financial benchmarking Summary presentation. July 2018

CSAF financial benchmarking Summary presentation. July 2018 CSAF financial benchmarking Summary presentation July 2018 Dalberg analyzed financial data on close to 4K loan transactions from nine CSAF members to better understand financial performance on agricultural

More information

Pricing Transparency. Anne-Laure Behaghel November 15, 2017

Pricing Transparency. Anne-Laure Behaghel November 15, 2017 Pricing Transparency Anne-Laure Behaghel November 15, 2017 2 Objective of the session Reaching adequate transparency in pricing is one of the main challenges that providers meet in their communication

More information

Risk-Based Capital (RBC) Reserve Risk Charges Improvements to Current Calibration Method

Risk-Based Capital (RBC) Reserve Risk Charges Improvements to Current Calibration Method Risk-Based Capital (RBC) Reserve Risk Charges Improvements to Current Calibration Method Report 7 of the CAS Risk-based Capital (RBC) Research Working Parties Issued by the RBC Dependencies and Calibration

More information

Benchmarking Microfinance in Romania

Benchmarking Microfinance in Romania Benchmarking Microfinance in Romania 2006-2007 A report from Eurom Consultancy and Studies SRL for European Microfinance Network s Micro finance Conference Nice, France 2008 Bucharest Romania www.eurom-consultancy.ro

More information

KPMG Pensions Accounting Survey in the Netherlands

KPMG Pensions Accounting Survey in the Netherlands KPMG Pensions Accounting Survey in the Netherlands 2016 Year-End preview and 2015 Year-End retrospective kpmg.nl 2 KPMG Pensions Accounting Survey in the Netherlands Content Introduction 3 Headlines 4

More information

OHIO PUBLIC EMPLOYEES RETIREMENT SYSTEM

OHIO PUBLIC EMPLOYEES RETIREMENT SYSTEM OHIO PUBLIC EMPLOYEES RETIREMENT SYSTEM ACTUARIAL VALUATION OF DEFINED BENEFIT ALLOWANCES TRADITIONAL, C OMBINED AND MEMBER DIRECTED PLANS DECEMBER 31, 2016 TABLE OF CONTENTS Section Pages Item 1-2 Cover

More information

Credit card Summary Box

Credit card Summary Box Credit card Summary Box PUBLISHED 1 January 2011 Representing. Informing. Advancing Table of contents 1 Introduction...1 2 Credit card Summary Box Best Practice Guidelines...2 2.1 Background...2 2.2 Objectives...2

More information

Best Annuity Rates Report

Best Annuity Rates Report Best Annuity Rates Report Best Annuity Rates Report 2018 Retire Village What is an Annuity? The annuity contract is a legal document that provides specific benefits which are guaranteed in the annuity

More information

Chapter 1 Discussion Problem Solutions D1. D2. D3. D4. D5.

Chapter 1 Discussion Problem Solutions D1. D2. D3. D4. D5. Chapter 1 Discussion Problem Solutions D1. Reasonable suggestions at this stage include: compare the average age of those laid off with the average age of those retained; compare the proportion of those,

More information

Technical Cooperation s Contribution to Transition in Early Transition Countries: Evidence from Micro, Small and Medium Enterprises Lending 1

Technical Cooperation s Contribution to Transition in Early Transition Countries: Evidence from Micro, Small and Medium Enterprises Lending 1 WORKING DRAFT Technical Cooperation s Contribution to Transition in Early Transition Countries: Evidence from Micro, Small and Medium Enterprises Lending 1 Office of Chief Economist, the European Bank

More information

Opting out of Retirement Plan Default Settings

Opting out of Retirement Plan Default Settings WORKING PAPER Opting out of Retirement Plan Default Settings Jeremy Burke, Angela A. Hung, and Jill E. Luoto RAND Labor & Population WR-1162 January 2017 This paper series made possible by the NIA funded

More information

An All-Cap Core Investment Approach

An All-Cap Core Investment Approach An All-Cap Core Investment Approach A White Paper by Manning & Napier www.manning-napier.com Unless otherwise noted, all figures are based in USD. 1 What is an All-Cap Core Approach An All-Cap Core investment

More information

Credit Score Basics, Part 1: What s Behind Credit Scores? October 2011

Credit Score Basics, Part 1: What s Behind Credit Scores? October 2011 Credit Score Basics, Part 1: What s Behind Credit Scores? October 2011 OVERVIEW Today, credit scores are often used synonymously as an absolute statement of consumer credit risk. Or, credit scores are

More information

STAB22 section 1.3 and Chapter 1 exercises

STAB22 section 1.3 and Chapter 1 exercises STAB22 section 1.3 and Chapter 1 exercises 1.101 Go up and down two times the standard deviation from the mean. So 95% of scores will be between 572 (2)(51) = 470 and 572 + (2)(51) = 674. 1.102 Same idea

More information

US INVESTOR ROADSHOW NOVEMBER

US INVESTOR ROADSHOW NOVEMBER US INVESTOR ROADSHOW NOVEMBER 2013 GROUP OVERVIEW FTSE 250 plc with a market capitalisation of c. 2.3bn Leading non-standard lender providing access to credit for those who might otherwise be financially

More information

Questions/Concerns regarding PAT CDP through Microcredit proposal

Questions/Concerns regarding PAT CDP through Microcredit proposal Questions/Concerns regarding PAT CDP through Microcredit proposal 1) In the proposal, it says - almost all our 35000 target members in Ariyalur, Trichy and Tanjore Districts in TamilNadu... What kind of

More information

MSRB Notice. MSRB Provides New and Updated FAQs on Confirmation Disclosure and Prevailing Market Price

MSRB Notice. MSRB Provides New and Updated FAQs on Confirmation Disclosure and Prevailing Market Price MSRB Notice 0 2018-05 Publication Date March 19, 2018 Stakeholders Municipal Securities Dealers, Investors Notice Type Interpretive Guidance Category Fair Practice; Uniform Practice Affected Rules Rule

More information

Rural Finance in China: Opportunities and Challenges

Rural Finance in China: Opportunities and Challenges Rural Finance in China: Opportunities and Challenges Jinchang Lai Principal Operations Officer & Lead for Financial Infrastructure East Asia and Pacific Advisory Services CICA Annual Meeting, Hong Kong,

More information

How s Life in Israel?

How s Life in Israel? October 2015 How s Life in Israel? Additional information, including the data used in this country note, can be found at: www.oecd.org/statistics/hows-life-2015-country-notes-data.xlsx HOW S LIFE IN ISRAEL

More information

Jim Mitchel Shannon O Keefe. November 2010

Jim Mitchel Shannon O Keefe. November 2010 2010 Membership Survey Jim Mitchel Shannon O Keefe November 2010 Contents page Objective 3 Summary 4 Support for NAIFA s Positions 8 Survey Administration 10 Membership Survey Results 11 Consumer Survey

More information

GAO DEPARTMENT OF EDUCATION. Key Aspects of the Federal Direct Loan Program s Cost Estimates. Report to Congressional Requesters

GAO DEPARTMENT OF EDUCATION. Key Aspects of the Federal Direct Loan Program s Cost Estimates. Report to Congressional Requesters GAO United States General Accounting Office Report to Congressional Requesters January 2001 DEPARTMENT OF EDUCATION Key Aspects of the Federal Direct Loan Program s Cost Estimates GAO-01-197 Form SF298

More information

Descriptive Statistics

Descriptive Statistics Chapter 3 Descriptive Statistics Chapter 2 presented graphical techniques for organizing and displaying data. Even though such graphical techniques allow the researcher to make some general observations

More information

FINANCIAL INCLUSION IN MALAWI (FIMA) PROJECT

FINANCIAL INCLUSION IN MALAWI (FIMA) PROJECT FINANCIAL INCLUSION IN MALAWI (FIMA) PROJECT SETUP AND PROGRESS TO 30 SEPTEMBER 2009 Established in July 2007, the Financial Inclusion in Malawi (FIMA) Project is currently jointly funded by UNDP, UNCDF,

More information

Business Optimism Survey Report Summer 2017

Business Optimism Survey Report Summer 2017 Center for Economic and Business Research Business Optimism Survey Report Summer 2017 July 24, 2017 Student Author(s) Elena Rodriguez In Collaboration With Contents Executive Summary..3 Clarifying Notes

More information

Exploring The Value Line Page

Exploring The Value Line Page Page 1 of 6 1. Value Line Ranks Timeliness The Timeliness rank is Value Line's measure of the expected price performance of a stock for the coming six to 12 months relative to our approximately 1,700 stock

More information

Module Tag PSY_P2_M 7. PAPER No.2: QUANTITATIVE METHODS MODULE No.7: NORMAL DISTRIBUTION

Module Tag PSY_P2_M 7. PAPER No.2: QUANTITATIVE METHODS MODULE No.7: NORMAL DISTRIBUTION Subject Paper No and Title Module No and Title Paper No.2: QUANTITATIVE METHODS Module No.7: NORMAL DISTRIBUTION Module Tag PSY_P2_M 7 TABLE OF CONTENTS 1. Learning Outcomes 2. Introduction 3. Properties

More information

Microenterprise Support within Community Development Financial Institutions

Microenterprise Support within Community Development Financial Institutions Microenterprise Support within Community Development Financial Institutions A report from FIELD January 2003 By Charles Waterfield and Jeremy Black Please do not quote from this report without permission

More information

2018 Report. July 2018

2018 Report. July 2018 2018 Report July 2018 Foreword This year the FCA and FCA Practitioner Panel have, for the second time, carried out a joint survey of regulated firms to monitor the industry s perception of the FCA and

More information

LESSON 2 INTEREST FORMULAS AND THEIR APPLICATIONS. Overview of Interest Formulas and Their Applications. Symbols Used in Engineering Economy

LESSON 2 INTEREST FORMULAS AND THEIR APPLICATIONS. Overview of Interest Formulas and Their Applications. Symbols Used in Engineering Economy Lesson Two: Interest Formulas and Their Applications from Understanding Engineering Economy: A Practical Approach LESSON 2 INTEREST FORMULAS AND THEIR APPLICATIONS Overview of Interest Formulas and Their

More information

Agreement for Harmonization of Cost of Credit Disclosure Laws in Canada

Agreement for Harmonization of Cost of Credit Disclosure Laws in Canada Agreement for Harmonization of Cost of Credit Disclosure Laws in Canada Drafting Template Consumer Measures Committee June 1, 1998 Agreement for Harmonization of Cost of Credit Disclosure Laws in Canada

More information

Food Security Policy Project Research Highlights Myanmar

Food Security Policy Project Research Highlights Myanmar Food Security Policy Project Research Highlights Myanmar December 2017 #9 AGRICULTURAL CREDIT ACCESS AND UTILIZATION IN MYANMAR S DRY ZONE Khun Moe Htun and Myat Su Tin INTRODUCTION This research highlight

More information

Staff Paper December 1991 USE OF CREDIT EVALUATION PROCEDURES AT AGRICULTURAL. Glenn D. Pederson. RM R Chellappan

Staff Paper December 1991 USE OF CREDIT EVALUATION PROCEDURES AT AGRICULTURAL. Glenn D. Pederson. RM R Chellappan Staff Papers Series Staff Paper 91-48 December 1991 USE OF CREDIT EVALUATION PROCEDURES AT AGRICULTURAL BANKS IN MINNESOTA: 1991 SURVEY RESULTS Glenn D. Pederson RM R Chellappan Department of Agricultural

More information

Ken MacDonald & Co Lawyers and Estate Agents Mortgages: A Guide

Ken MacDonald & Co Lawyers and Estate Agents Mortgages: A Guide Ken MacDonald & Co Lawyers and Estate Agents Mortgages: A Guide Introduction A mortgage is a sum of money borrowed from a bank or building society in order to purchase property. The money is then paid

More information

SUMMARY Health Insurer Stakeholders Federal and State Government Stakeholders Small Employer Stakeholders BACKGROUND Individual Stakeholders

SUMMARY Health Insurer Stakeholders Federal and State Government Stakeholders Small Employer Stakeholders BACKGROUND Individual Stakeholders SUMMARY Before the Affordable Care Act (ACA), people with chronic and costly illnesses, if not buried in debt, were sorely stressed from medical liabilities they incurred. ACA shifted excess costs to insurers

More information

AUSTRALIA S STRESS TESTING EXPERIENCE. Introduction

AUSTRALIA S STRESS TESTING EXPERIENCE. Introduction AUSTRALIA S STRESS TESTING EXPERIENCE Introduction In early 26, the International Monetary Fund (IMF) concluded an assessment of Australia s financial system under the auspices of the Financial Sector

More information

Client Protection Assessment Report

Client Protection Assessment Report Client Protection Assessment Report Annapurna Microfinance Private Limited January / February - 2011 Conducted by: ACCESS ASSIST 28A Hauz Khas Village, First Floor, New Delhi, 110 016 www.accessdev.org

More information

INSTITUTO NACIONAL DE ESTADÍSTICA. Descriptive study of poverty in Spain Results based on the Living Conditions Survey 2004

INSTITUTO NACIONAL DE ESTADÍSTICA. Descriptive study of poverty in Spain Results based on the Living Conditions Survey 2004 INSTITUTO NACIONAL DE ESTADÍSTICA Descriptive study of poverty in Spain Results based on the Living Conditions Survey 2004 Index Foreward... 1 Poverty in Spain... 2 1. Incidences of poverty... 3 1.1.

More information

Descriptive Statistics

Descriptive Statistics Petra Petrovics Descriptive Statistics 2 nd seminar DESCRIPTIVE STATISTICS Definition: Descriptive statistics is concerned only with collecting and describing data Methods: - statistical tables and graphs

More information

AMFI SECTOR REPORT DECEMBER 2017

AMFI SECTOR REPORT DECEMBER 2017 AMFI SECTOR REPORT DECEMBER 2017 1.1.0: INTRODUCTION 1.1.1: BACKGROUND INFORMATION The Association for Microfinance Institutions (AMFI) is a member-based organization that was established and registered

More information

REGULATION ON EFFECTIVE INTEREST RATE AND DISCLOSURE REQUIREMENTS. Article 1 Purpose and Scope

REGULATION ON EFFECTIVE INTEREST RATE AND DISCLOSURE REQUIREMENTS. Article 1 Purpose and Scope Pursuant to Article 35, paragraph 1.1 of the Law No. 03/L-209 on Central Bank of the Republic of Kosovo (Official Gazette of the Republic of Kosovo, No.77 / 16 August 2010) and Article 85 of the Law No.

More information

Help Growing Businesses Get Financing

Help Growing Businesses Get Financing A Guide to Help Growing Businesses Get Financing WHAT S INSIDE: Financing Options: Finding the Best Fit for Your Business Preparing to Seek Funding Financing Terms You Should Know Learning about Lending

More information

Issue 5, June The aggregate number of microloans disbursed during the year increased from 10,460 to 15,348 (n=58)

Issue 5, June The aggregate number of microloans disbursed during the year increased from 10,460 to 15,348 (n=58) Issue 5, June 2013 U.S. Microenterprise Census Highlights Size of the Industry: 2011 FIELD estimates that the U.S. microenterprise industry served 361,460 individuals and disbursed 24,708 microloans in

More information

appstats5.notebook September 07, 2016 Chapter 5

appstats5.notebook September 07, 2016 Chapter 5 Chapter 5 Describing Distributions Numerically Chapter 5 Objective: Students will be able to use statistics appropriate to the shape of the data distribution to compare of two or more different data sets.

More information

Aussie Bear and Bull Markets (in the last two decades)

Aussie Bear and Bull Markets (in the last two decades) (Beware the bears! they are never far away) Aussie Bear and Bull Markets (in the last two decades) If we can better understand the past, we can better understand the future. Robert Brain January 2010 (revised)

More information

NAME: CLASS PERIOD: Getting the Best Deal on Your Auto Loan

NAME: CLASS PERIOD: Getting the Best Deal on Your Auto Loan THEME 4 Lesson 17: Shopping for an Auto Loan EXERCISE 17.1 Getting the Best Deal on Your Auto Loan Jill Winston shopped carefully for a new car. She found the model she wanted and negotiated a price of

More information

Chapter 3. Cash-Flow Statements

Chapter 3. Cash-Flow Statements Introduction to Cash-Flow Statements 1 Chapter 3 Cash-Flow Statements TABLE OF CONTENTS Introduction 3 Direct Format Operating Section 5 Indirect Format Operating Section 6 Exercise 3.01 7 What Do I See?

More information

Investment Fund Summary

Investment Fund Summary Investment Fund Summary If you choose the FRS Investment Plan, you need to make decisions about how your retirement plan account balance will be invested. This brochure is a great way to start learning

More information

Reviewing the Role of Namibia Post Savings Bank (NSB) in Broadening Access to Financial Services to the Poor. Problem Statement Background...

Reviewing the Role of Namibia Post Savings Bank (NSB) in Broadening Access to Financial Services to the Poor. Problem Statement Background... Reviewing the Role of Namibia Post Savings Bank (NSB) in Broadening Access to Financial Services to the Poor Table of Contents Problem Statement... 3 Background... 3 Analysis... 4 The Status Quo of Nampost

More information

Microfinance Ireland

Microfinance Ireland Microfinance Ireland Allowing small businesses to start-up, expand and succeed SFA Business Bytes Preparing for Success 7 th February 2017 Funding Options for Small Businesses Credit Institutions Government

More information

CEM Benchmarking DEFINED BENEFIT THE WEEN. did not have.

CEM Benchmarking DEFINED BENEFIT THE WEEN. did not have. Alexander D. Beath, PhD CEM Benchmarking Inc. 372 Bay Street, Suite 1000 Toronto, ON, M5H 2W9 www.cembenchmarking.com June 2014 ASSET ALLOCATION AND FUND PERFORMANCE OF DEFINED BENEFIT PENSIONN FUNDS IN

More information

A guide to the incremental borrowing rate Assessing the impact of IFRS 16 Leases. Audit & Assurance

A guide to the incremental borrowing rate Assessing the impact of IFRS 16 Leases. Audit & Assurance A guide to the incremental borrowing rate Assessing the impact of IFRS 16 Leases Audit & Assurance Given a significant number of organisations are unlikely to have the necessary historical data to determine

More information

Investing in a Robotic Milking System: A Monte Carlo Simulation Analysis

Investing in a Robotic Milking System: A Monte Carlo Simulation Analysis J. Dairy Sci. 85:2207 2214 American Dairy Science Association, 2002. Investing in a Robotic Milking System: A Monte Carlo Simulation Analysis J. Hyde and P. Engel Department of Agricultural Economics and

More information

Graph G3.1 Movements of Unemployment and Employment Rates, 15+, 2008-Q Unemployment rate 11.8

Graph G3.1 Movements of Unemployment and Employment Rates, 15+, 2008-Q Unemployment rate 11.8 18 3. Labour Market 3. Labour Market Labour Force Survey data indicate continued improvements on the labour market, which significantly surpass the growth of economy and imply a high decline in productivity

More information

RURAL LOAN RECOVERY CONCEPTS AND MEASURES. Richard L. Meyer. Paper Prepared for the Seminar on Issues in Rural Loan Recovery in Bangladesh

RURAL LOAN RECOVERY CONCEPTS AND MEASURES. Richard L. Meyer. Paper Prepared for the Seminar on Issues in Rural Loan Recovery in Bangladesh ECONOMICS AND SOCIOLOGY OCCASIONAL PAPER NO. 1321 RURAL LOAN RECOVERY CONCEPTS AND MEASURES by Richard L. Meyer Paper Prepared for the Seminar on Issues in Rural Loan Recovery in Bangladesh Sponsored by

More information

Detailed Stock Report

Detailed Stock Report Updated March 8, 2013 ROSS STORES INCORPORATED (-O) Retailers / Other Specialty Retailers / Apparel Retailers Description The Average Score combines the quantitative analysis of six widely-used investment

More information

Korean Trust Fund for ICT4D Technological Innovations in Rural Malawi: A Field Experimental Approach

Korean Trust Fund for ICT4D Technological Innovations in Rural Malawi: A Field Experimental Approach GRANT APPLICATION Korean Trust Fund for ICT4D Technological Innovations in Rural Malawi: A Field Experimental Approach Submitted By Xavier Gine (xgine@worldbank.org) Last Edited May 23, Printed June 13,

More information

Lesson 24 Annuities. Minds On

Lesson 24 Annuities. Minds On Lesson 24 Annuities Goals To define define and understand how annuities work. To understand how investments, loans and mortgages work. To analyze and solve annuities in real world situations (loans, investments).

More information

AS Statistics. SS02 Mark scheme June Version 1.0: Final Mark Scheme

AS Statistics. SS02 Mark scheme June Version 1.0: Final Mark Scheme AS Statistics SS0 Mark scheme 6380 June 06 Version.0: Final Mark Scheme Mark schemes are prepared by the Lead Assessment Writer and considered, together with the relevant questions, by a panel of subject

More information