Reliability of Exponential Smoothing Method for forecasting Islamic Share Price to oil and gas sector in Malaysian Stock Exchange

Size: px
Start display at page:

Download "Reliability of Exponential Smoothing Method for forecasting Islamic Share Price to oil and gas sector in Malaysian Stock Exchange"

Transcription

1 Iteratioal Academic Research Joural of Busiess ad Techology 2(2) 2016 Page Reliability of Expoetial Smoothig Method for forecastig Islamic Share Price to oil ad gas sector i Malaysia Stock Exchage Nashirah Biti Abu Bakar 1 ad Sofia Rosbi 2 1 Islamic Busiess School, College of Busiess, Uiversiti Utara Malaysia, Kedah, Malaysia, 2 Uiversiti Malaysia Perlis, Perlis, Malaysia Correspodig ashirah@uum.edu.my Article Iformatio Keywords Forecastig, Expoetial smoothig, Share price, Sharia-compliat securities, Malaysia Stock Exchage. Abstract This paper forecast the share price for two compaies that related with oil ad gas sector. These compaies are Sharia-compliat compaies that issues Iitial Public Offerigs (IPO) i year This paper usig forecastig methods which are simple movig average ad expoetial smoothig. The, these share prices are evaluated usig three types of error, which are mea absolute deviatio (MAD), mea squared error (MSE) ad mea absolute percetage error (MAPE). The results show expoetial smoothig is less error tha simple movig average. Therefore, expoetial smoothig is more suitable i forecastig the dyamic of share price. This result is to help ivestors to determie ad select share price with higher retur usig a accurate method. INTRODUCTION Fiacial iovatios trasformed the traditioal fiacial markets ito highly sophisticated markets featurig with high degree of liquidity ad wide-array of istrumets to share ad trasfer various sources of risk (Iqbal, 1999). This tred occurred i domestic ad iteratioal fiacial markets. This iovatio ad growth i fiacial markets was further iduced by advaces i the fiacial theory. This tred was occurred with itroducig the Islamic ivestmet. Islamic ivestmet was growth up rapidly ad ears outstadig recogitio from iteratioal fiacial markets i the last decade. Cotiuig success is the result of icreasig demad for Islamic fiacial products ad services by both domestic ad iteratioal fiacial itermediaries. Islamic bakig is o loger limited to the boudaries of Muslim coutries but is establishig roots i o-muslim coutries as well. Moreover, Islamic fiacial product ad service such as Islamic capital market is o loger restricted to Muslims people oly. Part from Islamic capital market, Iitial Public Offerigs (IPO) for sharia-compliat compaies is a alterative way for Islamic compaies to growig up ad develops. IPO is a commo stock that has bee widely examied i the fiace literature, ad academic iterest i IPO is cotiuously till today. IPO for sharia-compliat compaies is act as a alterative source for Islamic compaies to raise a capital for expase a busiess where the capital must be free from ay prohibited elemet such as usury (riba), gamblig (maisir), ad ucertaities (gharar) (Abdul Rahim & Yog, 2010). A large umber of studies have examied the performace of share price of IPO (Loughra, et al., 1994). This iterest may be related to the importace of IPO market for ecoomic growth ad employmet, but ofte the 38

2 Iteratioal Academic Research Joural of Busiess ad Techology 2(2) 2016, Page focus is o the tremedous profit opportuities that IPO frequetly offer to ivestors (Bessler & Thies, 2007). I the same, the studies that focus o the performace of log-term IPO i Malaysia foud evidece that log-term performaces of IPO are performed better (How, et al., 2007). However, o prior academic has documeted the area of forecastig for share price of sharia-compliat i Malaysia. Thus, this study tries to fulfill this gap by forecast the log-term performace of IPO for sharia-compliat compaies usig expoetial smoothig. Specifically, this study examie log term performace of IPO for sharia-compliat compaies usig movig average methods ad compare with expoetial smoothig. Next, this study was aalysis the error i the aalysis. LITERATURE REVIEW May study was ivestigated the performace of stock markets worldwide (Boulto, et al. 2011). Various studies ivestigated the log term performace of IPO market foud IPO are uderperformed their bechmark. Ritter (1991) examies log term performace of IPO i Uited States foud the sigificat uderperform their bechmark. Carter et al. (1998) also foud IPO stocks are uderperformed relative to the market over a three-year holdig period is less severe for IPO hadled by more prestige uderwriters. The same result is reported by Cha, et al. (2004) i Chia. They foud IPO i Chia is slightly uderperformed. While, Lee, et al. (1996) report that Australia s IPO sigificatly uderperform market movemets i the three-year period subsequet to list. Goerge, et al. (2007) discusses the log-ru performace of UK IPO ad foud that the percetage of equity issued ad the degree of multiatioality of a firm are the key predictors of IPO performace i UK. Drobetz, et al. (2005) foud log ru uderperformace to the fact that IPO firms ted to be small firms whe used a small capitalizatio idex as a bechmark. Thus, uderperformed of log term IPO are observed i various coutries (Kirkulak & Davis, 2005). Therefore, it is importat to forecast the performace of share price to make sure that particular share ca give high retur. Stock markets are iflueced by complex factors ad oliear relatioships amog factors existed i differet periods such that forecastig the future stock treds for ivestors are extremely difficult (Kluger & McBride, 2011). Paul (2011) used expoetial smoothig techique to predict the future evets. Therefore, implemetatio of accurate forecastig methods is importat i predictig stock prices sice the stock market begis (Pavlov & Hur, 2012). Expoetial smoothig is oe of the accurate forecastig methods (Taylor, 2004). I this paper, we compare the simple movig average ad expoetial smoothig. The, three types of error are calculated. The three types of error are mea absolute deviatio (MAD), mea squared error (MSE) ad mea absolute percetage error (MAPE). METHODOLOGY I Malaysia Stock Exchage, there are 2 sharia-compliat compaies that issues Iitial Public Offerig i year of 2012 for oil ad gas sector. Table 1 show the list of the compaies. We select this sector because the decremet of the share price i this sector is the highest betwee years 2015 to I the same time the volatility of the share price durig 2015 util 2016 is the largest. TABLE I : List of Sharia compliace compaies that issues Iitial Public Offerigs (IPO) i year of 2012 for oil ad gas sector No. Stock Code Compay Board Sector SAPURA KENCANA PETROLEUM BERHAD MAIN MARKET OIL AND GAS GAS MALAYSIA BERHAD MAIN MARKET OIL AND GAS The first compay is Sapura Kecaa Petroleum Berhad. This compay is a oil field services compay based i Malaysia. It was formed via a merger betwee SapuraCrest ad Kecaa i May 2012.Sapura Kecaa provides solutios coverig the etire oil ad gas exploratio ad productio value chai. The compay operates i over 20 coutries icludig Malaysia, Brazil, the Uited States, Wester Africa ad the Middle East. The secod compay is Gas Malaysia Berhad. This compay is a atural gas distributio compay i Malaysia. The compay headquarters is located i Shah Alam, Malaysia. It has three regioal offices, located i Prai, Gebeg ad Pasir Gudag, ad seve brach offices located throughout Peisular Malaysia. The 55% of the 39

3 Iteratioal Academic Research Joural of Busiess ad Techology 2(2) 2016, Page compay shares are held by MMC-Shapadu Holdigs, 25% by Tokyo Gas - Mitsui Holdigs ad 20% by Petroas Gas Berhad. The, this research aalyse the movemet of share price, startig from the first moth util more tha 50 moths. The data are collected from Datastream (Thomso Reuters). The, this research calculates two methods of forecastig. The first method is simple movig average ad the secod method is expoetial smoothig predictio method. The calculatio for simple movig average is as follows: demad i previous periods Movig average = (1) where is the umber of periods i the movig average. I this research, =3 moths is selected. Next, the calculatio for expoetial smoothig is as follows: New forecast = (Last period's actual demad) +(1- )(Last period's forecast) ( A ) (1 )( F ) t1 t1 (2) where is the smoothig costat. I this research, is set tothis settig is to make this forecastig method more resposive to chages because last period s actual demad are set to be more heavily weighted. Next, overall accuracy of the forecastig method eeds to validate usig robustess diagostic of error. The forecast error ca be determied by comparig the forecasted values with the actual or observed values. If F t deotes the forecast i period t, ad A t deotes the actual value i period t, the forecast error is defied as: Forecast error = Actual value - Forecast value (3) At Ft The, to validate the robustess diagostic of forecastig method, three types of error is itroduced. The first measure of the overall forecast error for a model is the mea absolute deviatio (MAD). This value is calculated by takig sum of the absolute values of the idividual forecast errors ad dividig by the umber of periods of data (): Forecast error MAD = = t1 t1 Actual-Forecast At Ft t 1 Next, the secod parameter for measurig overall forecast error is mea squared error (MSE). The MSE is average of squared differeces betwee the forecasted ad observed values. The formula for MSE is: (4) MSE = Forecast error Actual - Forecast t1 t1 t 1 A F t t (5) The, the third parameter for measurig forecast error is mea absolute percetage error (MAPE). The MAPE is computed as the average of the absolute differece betwee the forecasted ad actual values, expressed as a percetage of the actual values. The MAPE is calculated usig ext equatio: 40

4 Absolute percetage error (%) Share price (MYR) Iteratioal Academic Research Joural of Busiess ad Techology 2(2) 2016, Page Forecast error / Actual 100 Actual Forecast / Actual MAPE = = t t t t t1 t1 100 At F t / At t 1 As robustess for diagostic error checkig, three method of error calculatio is compared to fid the lowest error for forecastig methods. I this paper, the accuracy betwee simple movig average ad expoetial smoothig are evaluated. RESULT AND DISCUSSION Figure 1 is the share price characteristics for Sapura Kecaa Petroleum Berhad. Figure 1(a) shows the expoetial smoothig predictio lie is located to the real data of share price. The, Figure 1(b) shows the absolute percetage error for period 4 th moth (August 2012) util 54 th moth (October 2016).It is cocluded that expoetial smoothig predictio method shows lower value of absolute percetage error. From Figure 1(c) the result shows Expoetial smoothig predictio is more accurate tha movig average. (6) 6 5 Real data value Movig average predictio Expoetial smooothig predictio Period (moth) (a) 70 Movig average predictio 60 Expoetial smoothig predictio Period (moth) (b) 41

5 Absolute percetage error (%) Share price (MYR) Iteratioal Academic Research Joural of Busiess ad Techology 2(2) 2016, Page Error evaluatio Movig average Expoetial smoothig Mea absolute deviatio (MAD) Mea squared error (MSE) Mea absolute percetage error (MAPE) (c) Figure 1: Share price for Sapura Kecaa Petroleum Berhad (a) Real dyamic movemet of share price (b) Absolute percetage error aalysis (c) Evaluatio for three types of error Figure 2 is the share price characteristics for Gas Malaysia Berhad. Figure 2(a) shows the expoetial smoothig predictio lie is located to the real data of share price. The, Figure 2(b) shows the absolute percetage error for period 4 th moth (September 2012) util 53 th moth (October 2016).It is cocluded that expoetial smoothig predictio method shows lower value of absolute percetage error. From Figure 1(c) the result shows Expoetial smoothig predictio is more accurate tha movig average. 6 5 Real data value Movig average predictio Expoetial smooothig predictio Period (moth) (a) 70 Movig average predictio 60 Expoetial smoothig predictio Period (moth) (b) 42

6 Iteratioal Academic Research Joural of Busiess ad Techology 2(2) 2016, Page Error evaluatio Movig average Expoetial smoothig Mea absolute deviatio (MAD) Mea squared error (MSE) Mea absolute percetage error (MAPE) (c) Figure 2: Share price for Gas Malaysia Berhad (a) Real dyamic movemet of share price (b) Absolute percetage error aalysis (c) Evaluatio for three types of error CONCLUSION The objective of this research is to evaluate the forecastig method to predict the log term performace of share price. The share prices that ivolved i this research are sharia-compliat compaies that listed i Malaysia Stock Exchage i year of We select two compaies that related with oil ad gas sector. The compaies are Sapura Kecaa Petroleum Berhad ad Gas Malaysia Berhad. I this research, we aalyzed the implemetatio of two methods of forecastig which are simple movig average ad expoetial smoothig. From the result i Figure 1 util Figure 2, this research cocludes that: (1) The value of share price is dyamically movig fluctuate accordig to market coditio. Both of the graph show large decremet of value startig from year of 2015 to (2) The evaluatio of each forecastig method is evaluate thoroughly with respect to three measure of error calculatio, which are mea absolute deviatio (MAD), mea squared error (MSE) ad mea absolute percetage error (MAPE). (3) The error value for each calculatio is bigger if the volatility of error for the share price is higher. (4) The forecastig method of expoetial smoothig is better tha simple movig average because of it is less error. Therefore, expoetial smoothig is more accurate i forecastig the dyamic behavior of share price. REFERENCES Abdul Rahim, R., & Yog, O. (2010). Iitial returs of Malaysia IPOs ad Shari a-compliat status. Joural of Islamic Accoutig ad Busiess Research, 1(1), Abu Bakar, N. ad Rosbi, S. (2016). Log Term Performace of Islamic Share Price for Iitial Public Offerigs (IPOs) i Malaysia: Evidece from Sharia-Compliat Compaies Listed o the Malaysia Stock Exchage ( ). Iteratioal Joural of Maagemet Sciece ad Busiess Admiistratio, 2(4), Ahmad Zaluki, N. A, Campbell, K. ad Goodacre, A. (2007). The Log Ru Share Price Performace of Malaysia Iitial Public Offerigs (IPOs). Joural of Busiess ad Accoutig, 34(1), Astuty, W. (2015). The Extraordiary Solutio for Idoesia Ecoomic Crisis: Shariah Capital Market. Joural of Fiace ad Bak Maagemet, 3(2), Boulto, T. J., Smart, S. B., & Zutter, C. J. (2010). IPO Uderpricig ad Iteratioal Corporate Goverace. Joural of Iteratioal Busiess Studies, 41(2), Bessler, W. ad Thies (2007). The log-ru performace of iitial public offerigs i Germay. Maagerial Fiace, 33(6), Carter, R.B., Dark F. H., ad Sigh, A.K. (1998). Uderwriter Reputatio, Iitial Retur ad Log Ru Performace of IPO stocks. The Joural of Fiace, 53(1), Cha, K., Wag, J. ad Wei K.C.J. (2004). Uderpricig ad log term performace of IPOs i Chia. Joural of Applied Corporate Fiace, 10(3), Che, A. Che, L.W. ad Kao, L (2010). Leverage, liquidity ad IPO log ru performace: evidece from Taiwa IPO markets. Iteratioal Joural of Accoutig & Iformatio Maagemet, 18(1), Corhay, A., Teo, S. ad Rad, A.T. (2002). The log ru performace of Malaysia iitial public offerigs (IPO): value ad growth effects. Maagerial Fiace, 28(2), Drobetz, W., Kammerma, M. ad Walchle, U. (2005). Lo ru performace of Iitial Public Offerigs: The evidece for Switzerlad. Schmalebach Busiess Review, 57, Farid, D., Meybodi, A.R. ad Mirfakhraddiy, S.H. (2010). Ivestmet risk maagemet i Tehra Stock Exchage (TSE) usig techique of Mote Carlo Simulatio (MCS), Joural of Fiacial Crime, 17(2), Goerge, M. Khurshed, A ad Mudambi, R. (2007). The log ru performace of UK: ca it be predicted. Maagerial Fiace, 33(6),

7 Iteratioal Academic Research Joural of Busiess ad Techology 2(2) 2016, Page How, J., Jelic, R., Saadoui, B., & Verhoeve, P. (2007). Share allocatios ad performace of KLSE secod board IPOs. Pacific-Basi Fiace Joural, 15(3), Iqbal, Z. (1999). Fiacial Egieerig i Islamic Fiace, Thuderbird Iteratioal Busiess Review, 41(4), Lee, P.J, Taylor, S.L. ad Walter, T.S. (1996). Australia IPO pricig i the short ad log ru, Joural of Bakig ad Fiace, 20, Kluger, B.D ad McBride, M, E. (2011). Itraday tradig patters i a itelliget autoomous aget-based stock market, Joural of Ecoomic Behavior & Orgaizatio, 79, Kirkulak, B., ad Davis, C. (2005). Uderwriter Reputatio ad Uderpricig: Evidece from the Japaese IPO Market. Pacific-Basi Fiace Joural, 13, Kim, J., Krisky, I., ad Lee, J. (1995). The aftermarket performace of iitial public offerigs i Korea, Pacific Basi Fiace Joural, 3, Loughra, T, Ritter, J.R., Rydqvist, K. (1994). Iitial Public Offerigs: Iteratioal Isights. Pacific Basi Fiacial Joural, 2, Pavlov, V ad Hur, S. (2012). Testig the profitability of movig-average rules as a portfolio selectio strategy, Pacific-Basi Fiace Joural, 20, Paudyal, K., Saadoui. B. ad Bristo, R.J. (1998). Privatisatio Iitial Public Offerig i Malaysia: Iitial Premium ad Log Term Performace, Pacific-Basi Fiace Joural, 6(5), Paul, S.K. (2011). Determiatio of Expoetial Smoothig Costat To Miimize Mea Square Error ad Mea Absolute Deviatio, Global Joural of Research i Egieerig, 11 (3), Ritter, J.R. (1991). The Log Ru Performace of Iitial Public offerigs, Joural of Fiace, 46(1), 3 27 Taylor, J.W. (2004). Volatility forecastig with smooth trasitio expoetial smoothig, Iteratioal Joural of Forecastig, 20, Welch, I ad Ritter, J. (2002). A Review of IPO Activity, Pricig ad Allocatios, Yale ICF Workig Paper, No

Error diagnostic for weighted moving average to forecast Shariacompliant securities in Malaysian Stock Exchange

Error diagnostic for weighted moving average to forecast Shariacompliant securities in Malaysian Stock Exchange Iteratioal Academic Research Joural of Busiess ad Techology 2(2) 2016 Page 29-37 Error diagostic for weighted movig average to forecast Shariacompliat securities i Malaysia Stock Exchage Nashirah Biti

More information

The Time Value of Money in Financial Management

The Time Value of Money in Financial Management The Time Value of Moey i Fiacial Maagemet Muteau Irea Ovidius Uiversity of Costata irea.muteau@yahoo.com Bacula Mariaa Traia Theoretical High School, Costata baculamariaa@yahoo.com Abstract The Time Value

More information

Optimizing of the Investment Structure of the Telecommunication Sector Company

Optimizing of the Investment Structure of the Telecommunication Sector Company Iteratioal Joural of Ecoomics ad Busiess Admiistratio Vol. 1, No. 2, 2015, pp. 59-70 http://www.aisciece.org/joural/ijeba Optimizig of the Ivestmet Structure of the Telecommuicatio Sector Compay P. N.

More information

Subject CT5 Contingencies Core Technical. Syllabus. for the 2011 Examinations. The Faculty of Actuaries and Institute of Actuaries.

Subject CT5 Contingencies Core Technical. Syllabus. for the 2011 Examinations. The Faculty of Actuaries and Institute of Actuaries. Subject CT5 Cotigecies Core Techical Syllabus for the 2011 Examiatios 1 Jue 2010 The Faculty of Actuaries ad Istitute of Actuaries Aim The aim of the Cotigecies subject is to provide a groudig i the mathematical

More information

Indice Comit 30 Ground Rules. Intesa Sanpaolo Research Department December 2017

Indice Comit 30 Ground Rules. Intesa Sanpaolo Research Department December 2017 Idice Comit 30 Groud Rules Itesa Sapaolo Research Departmet December 2017 Comit 30 idex Characteristics of the Comit 30 idex 1) Securities icluded i the idices The basket used to calculate the Comit 30

More information

CAPITAL PROJECT SCREENING AND SELECTION

CAPITAL PROJECT SCREENING AND SELECTION CAPITAL PROJECT SCREEIG AD SELECTIO Before studyig the three measures of ivestmet attractiveess, we will review a simple method that is commoly used to scree capital ivestmets. Oe of the primary cocers

More information

MODIFICATION OF HOLT S MODEL EXEMPLIFIED BY THE TRANSPORT OF GOODS BY INLAND WATERWAYS TRANSPORT

MODIFICATION OF HOLT S MODEL EXEMPLIFIED BY THE TRANSPORT OF GOODS BY INLAND WATERWAYS TRANSPORT The publicatio appeared i Szoste R.: Modificatio of Holt s model exemplified by the trasport of goods by ilad waterways trasport, Publishig House of Rzeszow Uiversity of Techology No. 85, Maagemet ad Maretig

More information

Anomaly Correction by Optimal Trading Frequency

Anomaly Correction by Optimal Trading Frequency Aomaly Correctio by Optimal Tradig Frequecy Yiqiao Yi Columbia Uiversity September 9, 206 Abstract Uder the assumptio that security prices follow radom walk, we look at price versus differet movig averages.

More information

REITInsight. In this month s REIT Insight:

REITInsight. In this month s REIT Insight: REITIsight Newsletter February 2014 REIT Isight is a mothly market commetary by Resource Real Estate's Global Portfolio Maager, Scott Crowe. It discusses our perspectives o major evets ad treds i real

More information

The ROI of Ellie Mae s Encompass All-In-One Mortgage Management Solution

The ROI of Ellie Mae s Encompass All-In-One Mortgage Management Solution The ROI of Ellie Mae s Ecompass All-I-Oe Mortgage Maagemet Solutio MAY 2017 Legal Disclaimer All iformatio cotaied withi this study is for iformatioal purposes oly. Neither Ellie Mae, Ic. or MarketWise

More information

FORECAST PRICE OF BRINJAL BY HOLT WINTERS METHOD IN WEST BENGAL USING M S EXCEL ABSTRACT

FORECAST PRICE OF BRINJAL BY HOLT WINTERS METHOD IN WEST BENGAL USING M S EXCEL ABSTRACT INTERNATIONAL JOURNAL OF BIO-RESOURCE, ENVIRONMENT AND AGRICULTURAL SCIENCES (IJBEAS) Vol. 2(): 232-236, 206 www.sbear.i // ISSN 2454-355 FORECAST PRICE OF BRINJAL BY HOLT WINTERS METHOD IN WEST BENGAL

More information

Mark to Market Procedures (06, 2017)

Mark to Market Procedures (06, 2017) Mark to Market Procedures (06, 207) Risk Maagemet Baco Sumitomo Mitsui Brasileiro S.A CONTENTS SCOPE 4 2 GUIDELINES 4 3 ORGANIZATION 5 4 QUOTES 5 4. Closig Quotes 5 4.2 Opeig Quotes 5 5 MARKET DATA 6 5.

More information

An Empirical Study of the Behaviour of the Sample Kurtosis in Samples from Symmetric Stable Distributions

An Empirical Study of the Behaviour of the Sample Kurtosis in Samples from Symmetric Stable Distributions A Empirical Study of the Behaviour of the Sample Kurtosis i Samples from Symmetric Stable Distributios J. Marti va Zyl Departmet of Actuarial Sciece ad Mathematical Statistics, Uiversity of the Free State,

More information

Institute of Actuaries of India Subject CT5 General Insurance, Life and Health Contingencies

Institute of Actuaries of India Subject CT5 General Insurance, Life and Health Contingencies Istitute of Actuaries of Idia Subject CT5 Geeral Isurace, Life ad Health Cotigecies For 2017 Examiatios Aim The aim of the Cotigecies subject is to provide a groudig i the mathematical techiques which

More information

Companies COMPANIES BUILDING ON A SOLID FOUNDATION. 1 Intrust Manx

Companies COMPANIES BUILDING ON A SOLID FOUNDATION. 1 Intrust Manx Compaies COMPANIES BUILDING ON A SOLID FOUNDATION 1 Itrust Max Itrust Max Limited Itrust (Max) Limited is based i Douglas, Isle of Ma. Our objective is to provide a bespoke, flexible, cost-effective, efficiet

More information

Forecasting bad debt losses using clustering algorithms and Markov chains

Forecasting bad debt losses using clustering algorithms and Markov chains Forecastig bad debt losses usig clusterig algorithms ad Markov chais Robert J. Till Experia Ltd Lambert House Talbot Street Nottigham NG1 5HF {Robert.Till@uk.experia.com} Abstract Beig able to make accurate

More information

An Empirical Study on the Contribution of Foreign Trade to the Economic Growth of Jiangxi Province, China

An Empirical Study on the Contribution of Foreign Trade to the Economic Growth of Jiangxi Province, China usiess, 21, 2, 183-187 doi:1.4236/ib.21.2222 Published Olie Jue 21 (http://www.scirp.org/joural/ib) 183 A Empirical Study o the Cotributio of Foreig Trade to the Ecoomic Growth of Jiagxi Provice, Chia

More information

Subject CT1 Financial Mathematics Core Technical Syllabus

Subject CT1 Financial Mathematics Core Technical Syllabus Subject CT1 Fiacial Mathematics Core Techical Syllabus for the 2018 exams 1 Jue 2017 Subject CT1 Fiacial Mathematics Core Techical Aim The aim of the Fiacial Mathematics subject is to provide a groudig

More information

NPTEL DEPARTMENT OF INDUSTRIAL AND MANAGEMENT ENGINEERING IIT KANPUR QUANTITATIVE FINANCE END-TERM EXAMINATION (2015 JULY-AUG ONLINE COURSE)

NPTEL DEPARTMENT OF INDUSTRIAL AND MANAGEMENT ENGINEERING IIT KANPUR QUANTITATIVE FINANCE END-TERM EXAMINATION (2015 JULY-AUG ONLINE COURSE) NPTEL DEPARTMENT OF INDUSTRIAL AND MANAGEMENT ENGINEERING IIT KANPUR QUANTITATIVE FINANCE END-TERM EXAMINATION (2015 JULY-AUG ONLINE COURSE) READ THE INSTRUCTIONS VERY CAREFULLY 1) Time duratio is 2 hours

More information

KEY INFORMATION DOCUMENT CFD s Generic

KEY INFORMATION DOCUMENT CFD s Generic KEY INFORMATION DOCUMENT CFD s Geeric KEY INFORMATION DOCUMENT - CFDs Geeric Purpose This documet provides you with key iformatio about this ivestmet product. It is ot marketig material ad it does ot costitute

More information

43. A 000 par value 5-year bod with 8.0% semiaual coupos was bought to yield 7.5% covertible semiaually. Determie the amout of premium amortized i the 6 th coupo paymet. (A).00 (B).08 (C).5 (D).5 (E).34

More information

Pricing 50ETF in the Way of American Options Based on Least Squares Monte Carlo Simulation

Pricing 50ETF in the Way of American Options Based on Least Squares Monte Carlo Simulation Pricig 50ETF i the Way of America Optios Based o Least Squares Mote Carlo Simulatio Shuai Gao 1, Ju Zhao 1 Applied Fiace ad Accoutig Vol., No., August 016 ISSN 374-410 E-ISSN 374-49 Published by Redfame

More information

Chapter 11 Appendices: Review of Topics from Foundations in Finance and Tables

Chapter 11 Appendices: Review of Topics from Foundations in Finance and Tables Chapter 11 Appedices: Review of Topics from Foudatios i Fiace ad Tables A: INTRODUCTION The expressio Time is moey certaily applies i fiace. People ad istitutios are impatiet; they wat moey ow ad are geerally

More information

The Comparative Financial Managerial Performance of U.S. Firms and Chinese Firms

The Comparative Financial Managerial Performance of U.S. Firms and Chinese Firms Joural of Fiace ad Ivestmet Aalysis, vol.1, o.2, 2012, 119-135 ISSN: 2241-0988 (prit versio), 2241-0996 (olie) Iteratioal Scietific Press, 2012 The Comparative Fiacial Maagerial Performace of U.S. Firms

More information

1031 Tax-Deferred Exchanges

1031 Tax-Deferred Exchanges 1031 Tax-Deferred Exchages About the Authors Arold M. Brow Seior Maagig Director, Head of 1031 Tax-Deferred Exchage Services, MB Fiacial Deferred Exchage Corporatio Arold M. Brow is the Seior Maagig Director

More information

International Journal of Management (IJM), ISSN (Print), ISSN (Online) Volume 1, Number 2, July - Aug (2010), IAEME

International Journal of Management (IJM), ISSN (Print), ISSN (Online) Volume 1, Number 2, July - Aug (2010), IAEME Iteratioal Joural of Maagemet (IJM), ISSN 0976 6502(Prit), ISSN 0976 6510(Olie) Volume 1, Number 2, July - Aug (2010), pp. 09-13 IAEME, http://www.iaeme.com/ijm.html IJM I A E M E AN ANALYSIS OF STABILITY

More information

Volume 29, Issue 3. Profitability of the On-Balance Volume Indicator

Volume 29, Issue 3. Profitability of the On-Balance Volume Indicator Volume 29, Issue 3 Profitability of the O-Balace Volume Idicator William Wai Him Tsag Departmet of Ecoomics, The Chiese Uiversity of Hog Kog Terece Tai Leug Chog Departmet of Ecoomics, The Chiese Uiversity

More information

TIME VALUE OF MONEY 6.1 TIME VALUE OF MONEY

TIME VALUE OF MONEY 6.1 TIME VALUE OF MONEY C h a p t e r TIME VALUE O MONEY 6. TIME VALUE O MONEY The idividual s preferece for possessio of give amout of cash ow, rather tha the same amout at some future time, is called Time preferece for moey.

More information

Proceedings of the 5th WSEAS Int. Conf. on SIMULATION, MODELING AND OPTIMIZATION, Corfu, Greece, August 17-19, 2005 (pp )

Proceedings of the 5th WSEAS Int. Conf. on SIMULATION, MODELING AND OPTIMIZATION, Corfu, Greece, August 17-19, 2005 (pp ) Proceedigs of the 5th WSEAS It. Cof. o SIMULATION, MODELING AND OPTIMIZATION, Corfu, Greece, August 7-9, 005 (pp488-49 Realized volatility estimatio: ew simulatio approach ad empirical study results JULIA

More information

Introduction to Financial Derivatives

Introduction to Financial Derivatives 550.444 Itroductio to Fiacial Derivatives Determiig Prices for Forwards ad Futures Week of October 1, 01 Where we are Last week: Itroductio to Iterest Rates, Future Value, Preset Value ad FRAs (Chapter

More information

Statistics for Economics & Business

Statistics for Economics & Business Statistics for Ecoomics & Busiess Cofidece Iterval Estimatio Learig Objectives I this chapter, you lear: To costruct ad iterpret cofidece iterval estimates for the mea ad the proportio How to determie

More information

The Valuation of the Catastrophe Equity Puts with Jump Risks

The Valuation of the Catastrophe Equity Puts with Jump Risks The Valuatio of the Catastrophe Equity Puts with Jump Risks Shih-Kuei Li Natioal Uiversity of Kaohsiug Joit work with Chia-Chie Chag Outlie Catastrophe Isurace Products Literatures ad Motivatios Jump Risk

More information

Linear Programming for Portfolio Selection Based on Fuzzy Decision-Making Theory

Linear Programming for Portfolio Selection Based on Fuzzy Decision-Making Theory The Teth Iteratioal Symposium o Operatios Research ad Its Applicatios (ISORA 2011 Duhuag, Chia, August 28 31, 2011 Copyright 2011 ORSC & APORC, pp. 195 202 Liear Programmig for Portfolio Selectio Based

More information

Intellectual Assets and Value Creation: Synthesis Report

Intellectual Assets and Value Creation: Synthesis Report Itellectual Assets ad Value Creatio: Sythesis Report Douglas Lippoldt Directorate for Sciece, Techology ad Idustry The views expressed do ot ecessarily represet those of the OECD or its member coutries.

More information

An Improved Composite Forecast For Realized Volatility

An Improved Composite Forecast For Realized Volatility Joural of Statistical ad Ecoometric Methods, vol.3, o.1, 2014, 75-84 ISSN: 2241-0384 (prit), 2241-0376 (olie) Sciepress Ltd, 2014 A Improved Composite Forecast For Realized Volatility Isaac J. Faber 1

More information

STRAND: FINANCE. Unit 3 Loans and Mortgages TEXT. Contents. Section. 3.1 Annual Percentage Rate (APR) 3.2 APR for Repayment of Loans

STRAND: FINANCE. Unit 3 Loans and Mortgages TEXT. Contents. Section. 3.1 Annual Percentage Rate (APR) 3.2 APR for Repayment of Loans CMM Subject Support Strad: FINANCE Uit 3 Loas ad Mortgages: Text m e p STRAND: FINANCE Uit 3 Loas ad Mortgages TEXT Cotets Sectio 3.1 Aual Percetage Rate (APR) 3.2 APR for Repaymet of Loas 3.3 Credit Purchases

More information

CHAPTER 3 RESEARCH METHODOLOGY. Chaigusin (2011) mentioned that stock markets have different

CHAPTER 3 RESEARCH METHODOLOGY. Chaigusin (2011) mentioned that stock markets have different 20 CHAPTER 3 RESEARCH METHODOLOGY Chaigusi (2011) metioed that stock markets have differet characteristics, depedig o the ecoomies omie they are relateded to, ad, varyig from time to time, a umber of o-trivial

More information

RISK DIVERSIFICATION BETWEEN STOCK MARKETS IN GERMANY AND BOSNIA AND HERZEGOVINA

RISK DIVERSIFICATION BETWEEN STOCK MARKETS IN GERMANY AND BOSNIA AND HERZEGOVINA South East Europea Joural of Ecoomics ad Busiess - Special Issue ICES Coferece, Volume 9 (1) 2014, 30-36 DOI: 10.2478/jeb-2014-0003 RISK DIVERSIFICATION BETWEEN STOCK MARKETS IN GERMANY AND BOSNIA AND

More information

Heavy-Tailed Distribution and Risk Management of Gold Returns Hao Shen, Xuanjin Meng, Rongjie Guo, Yuyan Zhao, Siyi Ding, and Xiaojin Meng

Heavy-Tailed Distribution and Risk Management of Gold Returns Hao Shen, Xuanjin Meng, Rongjie Guo, Yuyan Zhao, Siyi Ding, and Xiaojin Meng Heavy-Tailed Distributio ad Risk Maagemet of Gold Returs Hao She, Xuaji Meg, Rogjie Guo, Yuya Zhao, Siyi Dig, ad Xiaoji Meg DOI: 10.6007/IJAREMS/v6-i3/3147 URL: http://dx.doi.org/10.6007/ijarems/v6-i3/3147

More information

AY Term 2 Mock Examination

AY Term 2 Mock Examination AY 206-7 Term 2 Mock Examiatio Date / Start Time Course Group Istructor 24 March 207 / 2 PM to 3:00 PM QF302 Ivestmet ad Fiacial Data Aalysis G Christopher Tig INSTRUCTIONS TO STUDENTS. This mock examiatio

More information

REITInsight. In this month s REIT Insight:

REITInsight. In this month s REIT Insight: REITIsight Newsletter March 2014 REIT Isight is a mothly market commetary by Resource Real Estate's Global Portfolio Maager, Scott Crowe. It discusses our perspectives o major evets ad treds i real estate

More information

RAIPUR AS A NEW CAPITAL: IMPACT ON POPULATION

RAIPUR AS A NEW CAPITAL: IMPACT ON POPULATION It. J. Egg. Res. & Sci. & Tech. 2013 Vadaa Agrawal, 2013 Research Paper RAIPUR AS A NEW CAPITAL: IMPACT ON POPULATION ISSN 2319-5991 www.ijerst.com Vol. 2, No. 1, February 2013 2013 IJERST. All Rights

More information

Risk transfer mechanisms - converging insurance, credit and financial markets

Risk transfer mechanisms - converging insurance, credit and financial markets Risk trasfer mechaisms - covergig isurace, credit ad fiacial markets Presetatio at OECD/CIRC Techical Expert meetig o Reisurace, Jue 2002. Jes Verer Aderse, OECD 1 Outlie Itroductio Growth of risk trasfer

More information

DESCRIPTION OF MATHEMATICAL MODELS USED IN RATING ACTIVITIES

DESCRIPTION OF MATHEMATICAL MODELS USED IN RATING ACTIVITIES July 2014, Frakfurt am Mai. DESCRIPTION OF MATHEMATICAL MODELS USED IN RATING ACTIVITIES This documet outlies priciples ad key assumptios uderlyig the ratig models ad methodologies of Ratig-Agetur Expert

More information

1 The Power of Compounding

1 The Power of Compounding 1 The Power of Compoudig 1.1 Simple vs Compoud Iterest You deposit $1,000 i a bak that pays 5% iterest each year. At the ed of the year you will have eared $50. The bak seds you a check for $50 dollars.

More information

living well in retirement Adjusting Your Annuity Income Your Payment Flexibilities

living well in retirement Adjusting Your Annuity Income Your Payment Flexibilities livig well i retiremet Adjustig Your Auity Icome Your Paymet Flexibilities what s iside 2 TIAA Traditioal auity Icome 4 TIAA ad CREF Variable Auity Icome 7 Choices for Adjustig Your Auity Icome 7 Auity

More information

Research on the Risk Management Model of Development Finance in China

Research on the Risk Management Model of Development Finance in China 486 Proceedigs of the 8th Iteratioal Coferece o Iovatio & Maagemet Research o the Ris Maagemet Model of Developmet Fiace i Chia Zou Huixia, Jiag Ligwei Ecoomics ad Maagemet School, Wuha Uiversity, Wuha,

More information

Statistical techniques

Statistical techniques 4 Statistical techiques this chapter covers... I this chapter we will explai how to calculate key statistical idicators which will help us to aalyse past data ad help us forecast what may happe i the future.

More information

ICAP Select Equity. As of September 30, Investment results for period ending 9/30/15. Objective. Top 10 holdings supplemental information*

ICAP Select Equity. As of September 30, Investment results for period ending 9/30/15. Objective. Top 10 holdings supplemental information* INSTITUTIONAL CAPITAL 353 North Clark Street Suite 3500 Chicago IL, 60654 ICAP Select Equity Objective ICAP focuses o fidig uderpriced large cap value securities that we believe have a clear catalyst that

More information

CAPITALIZATION (PREVENTION) OF PAYMENT PAYMENTS WITH PERIOD OF DIFFERENT MATURITY FROM THE PERIOD OF PAYMENTS

CAPITALIZATION (PREVENTION) OF PAYMENT PAYMENTS WITH PERIOD OF DIFFERENT MATURITY FROM THE PERIOD OF PAYMENTS Iteratioal Joural of Ecoomics, Commerce ad Maagemet Uited Kigdom Vol. VI, Issue 9, September 2018 http://ijecm.co.uk/ ISSN 2348 0386 CAPITALIZATION (PREVENTION) OF PAYMENT PAYMENTS WITH PERIOD OF DIFFERENT

More information

r i = a i + b i f b i = Cov[r i, f] The only parameters to be estimated for this model are a i 's, b i 's, σe 2 i

r i = a i + b i f b i = Cov[r i, f] The only parameters to be estimated for this model are a i 's, b i 's, σe 2 i The iformatio required by the mea-variace approach is substatial whe the umber of assets is large; there are mea values, variaces, ad )/2 covariaces - a total of 2 + )/2 parameters. Sigle-factor model:

More information

Driver s. 1st Gear: Determine your asset allocation strategy.

Driver s. 1st Gear: Determine your asset allocation strategy. Delaware North 401(k) PLAN The Driver s Guide The fial step o your road to erollig i the Delaware North 401(k) Pla. At this poit, you re ready to take the wheel ad set your 401(k) i motio. Now all that

More information

Binomial Model. Stock Price Dynamics. The Key Idea Riskless Hedge

Binomial Model. Stock Price Dynamics. The Key Idea Riskless Hedge Biomial Model Stock Price Dyamics The value of a optio at maturity depeds o the price of the uderlyig stock at maturity. The value of the optio today depeds o the expected value of the optio at maturity

More information

Lecture 16 Investment, Time, and Risk (Basic issues in Finance)

Lecture 16 Investment, Time, and Risk (Basic issues in Finance) Lecture 16 Ivestmet, Time, ad Risk (Basic issues i Fiace) 1. Itertemporal Ivestmet Decisios: The Importace o Time ad Discoutig 1) Time as oe o the most importat actors aectig irm s ivestmet decisios: A

More information

BUSINESS PLAN IMMUNE TO RISKY SITUATIONS

BUSINESS PLAN IMMUNE TO RISKY SITUATIONS BUSINESS PLAN IMMUNE TO RISKY SITUATIONS JOANNA STARCZEWSKA, ADVISORY BUSINESS SOLUTIONS MANAGER RISK CENTER OF EXCELLENCE EMEA/AP ATHENS, 13TH OF MARCH 2015 FINANCE CHALLENGES OF MANY FINANCIAL DEPARTMENTS

More information

CHAPTER 2 PRICING OF BONDS

CHAPTER 2 PRICING OF BONDS CHAPTER 2 PRICING OF BONDS CHAPTER SUARY This chapter will focus o the time value of moey ad how to calculate the price of a bod. Whe pricig a bod it is ecessary to estimate the expected cash flows ad

More information

Evaluation on the Financial Performance of the Malaysian Banks with TOPSIS Model

Evaluation on the Financial Performance of the Malaysian Banks with TOPSIS Model America Joural of Service Sciece ad Maagemet 207; 4(2): -6 http://www.opescieceolie.com/joural/ajssm ISSN: 238-4489 (Prit); ISSN: 238-4497 (Olie) Evaluatio o the Fiacial Performace of the Malaysia Baks

More information

Chapter 4: Time Value of Money

Chapter 4: Time Value of Money FIN 301 Class Notes Chapter 4: Time Value of Moey The cocept of Time Value of Moey: A amout of moey received today is worth more tha the same dollar value received a year from ow. Why? Do you prefer a

More information

III. RESEARCH METHODS. Riau Province becomes the main area in this research on the role of pulp

III. RESEARCH METHODS. Riau Province becomes the main area in this research on the role of pulp III. RESEARCH METHODS 3.1 Research Locatio Riau Provice becomes the mai area i this research o the role of pulp ad paper idustry. The decisio o Riau Provice was supported by several facts: 1. The largest

More information

*Author for Correspondence. Keywords: Financial Leverage, Tax shield,beta,market value to Book value, Size, Earnings Per share changes

*Author for Correspondence. Keywords: Financial Leverage, Tax shield,beta,market value to Book value, Size, Earnings Per share changes INVESTIGATION OF THE EFFECTS OF FINANCIAL LEVERAGE, Tax SHIELD, BETA, MARKET VALUE TO BOOK VALUE AND SIZE ON EARNINGS PER SHARE CHANGES, CASE STUDY,IRAN Mostaf Radsar 1, Akbar Peyvasteh 2, Somaye Radsar

More information

Nomura Asia Pacific Fonds

Nomura Asia Pacific Fonds Nomura Asia Pacific Fods INVESTMENT OBJECTIVE The fud's ivestmet objective is to achieve a log-term participatio i the dyamic ecoomic growth of the Asia Pacific regio. The fud ivests primarily i equities.

More information

Country Portfolio Model Considering Market Uncertainties in Construction Industry

Country Portfolio Model Considering Market Uncertainties in Construction Industry CCC 2018 Proceedigs of the Creative Costructio Coferece (2018) Edited by: Miroslaw J. Skibiewski & Miklos Hajdu Creative Costructio Coferece 2018, CCC 2018, 30 Jue - 3 July 2018, Ljubljaa, Sloveia Coutry

More information

Highest Daily Lifetime Seven SM Spousal Highest Daily Lifetime Seven SM

Highest Daily Lifetime Seven SM Spousal Highest Daily Lifetime Seven SM Optioal Icome beefits Highest Daily Lifetime Seve SM Spousal Highest Daily Lifetime Seve SM Daily Opportuities to Capture Greater Lifetime Icome HD Lifetime Seve ad Spousal HD Lifetime Seve Offer:» Miimum

More information

Models of Asset Pricing

Models of Asset Pricing APPENDIX 1 TO CHAPTER 4 Models of Asset Pricig I this appedix, we first examie why diversificatio, the holdig of may risky assets i a portfolio, reduces the overall risk a ivestor faces. The we will see

More information

Appendix 1 to Chapter 5

Appendix 1 to Chapter 5 Appedix 1 to Chapter 5 Models of Asset Pricig I Chapter 4, we saw that the retur o a asset (such as a bod) measures how much we gai from holdig that asset. Whe we make a decisio to buy a asset, we are

More information

Models of Asset Pricing

Models of Asset Pricing APPENDIX 1 TO CHAPTER4 Models of Asset Pricig I this appedix, we first examie why diversificatio, the holdig of may risky assets i a portfolio, reduces the overall risk a ivestor faces. The we will see

More information

REINSURANCE ALLOCATING RISK

REINSURANCE ALLOCATING RISK 6REINSURANCE Reisurace is a risk maagemet tool used by isurers to spread risk ad maage capital. The isurer trasfers some or all of a isurace risk to aother isurer. The isurer trasferrig the risk is called

More information

Calculation of the Annual Equivalent Rate (AER)

Calculation of the Annual Equivalent Rate (AER) Appedix to Code of Coduct for the Advertisig of Iterest Bearig Accouts. (31/1/0) Calculatio of the Aual Equivalet Rate (AER) a) The most geeral case of the calculatio is the rate of iterest which, if applied

More information

1 Random Variables and Key Statistics

1 Random Variables and Key Statistics Review of Statistics 1 Radom Variables ad Key Statistics Radom Variable: A radom variable is a variable that takes o differet umerical values from a sample space determied by chace (probability distributio,

More information

1 + r. k=1. (1 + r) k = A r 1

1 + r. k=1. (1 + r) k = A r 1 Perpetual auity pays a fixed sum periodically forever. Suppose a amout A is paid at the ed of each period, ad suppose the per-period iterest rate is r. The the preset value of the perpetual auity is A

More information

Hopscotch and Explicit difference method for solving Black-Scholes PDE

Hopscotch and Explicit difference method for solving Black-Scholes PDE Mälardale iversity Fiacial Egieerig Program Aalytical Fiace Semiar Report Hopscotch ad Explicit differece method for solvig Blac-Scholes PDE Istructor: Ja Röma Team members: A Gog HaiLog Zhao Hog Cui 0

More information

PRICE REACTION TOWARDS THE PENSION ACCOUNTING DISCLOSURES OF ACTUARIAL GAINS AND LOSSES

PRICE REACTION TOWARDS THE PENSION ACCOUNTING DISCLOSURES OF ACTUARIAL GAINS AND LOSSES PRICE REACTION TOWARDS THE PENSION ACCOUNTING DISCLOSURES OF ACTUARIAL GAINS AND LOSSES Nor Asma Lode Mohd. Atef Md. Yusof Uiversiti Utara Malaysia, Malaysia ABSTRACT This paper ivestigates whether stock

More information

VETERINARY PATHOLOGIST EMPLOYER DEMOGRAPHIC SURVEY: ADDENDUM

VETERINARY PATHOLOGIST EMPLOYER DEMOGRAPHIC SURVEY: ADDENDUM VETERINARY PATHOLOGIST EMPLOYER DEMOGRAPHIC SURVEY: ADDENDUM Prepared for the America College of Veteriary, the Society of Toxicologic Pathology, ad the America Society for Veteriary Cliical Pathology

More information

This article is part of a series providing

This article is part of a series providing feature Bryce Millard ad Adrew Machi Characteristics of public sector workers SUMMARY This article presets aalysis of public sector employmet, ad makes comparisos with the private sector, usig data from

More information

Standard BAL a Real Power Balancing Control Performance

Standard BAL a Real Power Balancing Control Performance A. Itroductio. Title: Real Power Balacig Cotrol Performace 2. Number: BAL-00-0.a 3. Purpose: To maitai Itercoectio steady-state frequecy withi defied limits by balacig real power demad ad supply i real-time.

More information

Securely managed insurance solutions. Protected Cell, Incorporated Cell and Segregated Account facilities

Securely managed insurance solutions. Protected Cell, Incorporated Cell and Segregated Account facilities Securely maaged isurace solutios Protected Cell, Icorporated Cell ad Segregated Accout facilities About us White Rock is a uique ad leadig group of isurace ad reisurace vehicles with operatios i a umber

More information

of Asset Pricing R e = expected return

of Asset Pricing R e = expected return Appedix 1 to Chapter 5 Models of Asset Pricig EXPECTED RETURN I Chapter 4, we saw that the retur o a asset (such as a bod) measures how much we gai from holdig that asset. Whe we make a decisio to buy

More information

Reach higher with all of US

Reach higher with all of US Reach higher with all of US Reach higher with all of US No matter the edeavor, assemblig experieced people with the right tools ehaces your chaces for success. Whe it comes to reachig your fiacial goals,

More information

Execution Risk Management at Wachovia Yousef Valine

Execution Risk Management at Wachovia Yousef Valine Executio at Wachovia Yousef Valie Head of Istitutioal Group ad COO, Wachovia Corporatio 1 Ageda Why We Care About Executio Our Approach Accomplishmets Aligmet with AMA ad Operatioal Why We Care About Executio

More information

Success through excellence!

Success through excellence! IIPC Cosultig AG IRR Attributio Date: November 2011 Date: November 2011 - Slide 1 Ageda Itroductio Calculatio of IRR Cotributio to IRR IRR attributio Hypothetical example Simple example for a IRR implemetatio

More information

Course FM Practice Exam 1 Solutions

Course FM Practice Exam 1 Solutions Course FM Practice Exam 1 Solutios Solutio 1 D Sikig fud loa The aual service paymet to the leder is the aual effective iterest rate times the loa balace: SP X 0.075 To determie the aual sikig fud paymet,

More information

Faculdade de Economia da Universidade de Coimbra

Faculdade de Economia da Universidade de Coimbra Faculdade de Ecoomia da Uiversidade de Coimbra Grupo de Estudos Moetários e Fiaceiros (GEMF) Av. Dias da Silva, 65 300-5 COIMBRA, PORTUGAL gemf@fe.uc.pt http://www.uc.pt/feuc/gemf PEDRO GODINHO Estimatig

More information

CAPITAL ASSET PRICING MODEL

CAPITAL ASSET PRICING MODEL CAPITAL ASSET PRICING MODEL RETURN. Retur i respect of a observatio is give by the followig formula R = (P P 0 ) + D P 0 Where R = Retur from the ivestmet durig this period P 0 = Curret market price P

More information

Nomura Asia Pacific Fonds

Nomura Asia Pacific Fonds Nomura Asia Pacific Fods INVESTMENT OBJECTIVE The fud's ivestmet objective is to achieve a log-term participatio i the dyamic ecoomic growth of the Asia Pacific regio. The fud ivests primarily i equities.

More information

Predicting Direction of Stock Prices Index Movement Using Artificial Neural Networks: The Case of Libyan Financial Market

Predicting Direction of Stock Prices Index Movement Using Artificial Neural Networks: The Case of Libyan Financial Market British Joural of Ecoomics, Maagemet & Trade 4(4): 597-619, 2014 SCIENCEDOMAIN iteratioal www.sciecedomai.org Predictig Directio of Stock Prices Idex Movemet Usig Artificial Neural Networks: The Case of

More information

Episcopal Diocese of California: Introducing ESG, SRI and Impact Investing. Lauryn Agnew October 4, 2015

Episcopal Diocese of California: Introducing ESG, SRI and Impact Investing. Lauryn Agnew October 4, 2015 Episcopal Diocese of Califoria: Itroducig ESG, SRI ad Impact Ivestig Laury Agew October 4, 2015 SRI, ESG ad Impact Ivestig The Old SRI: Socially Resposible Ivestig Exclude compaies that make or do bad

More information

We learned: $100 cash today is preferred over $100 a year from now

We learned: $100 cash today is preferred over $100 a year from now Recap from Last Week Time Value of Moey We leared: $ cash today is preferred over $ a year from ow there is time value of moey i the form of willigess of baks, busiesses, ad people to pay iterest for its

More information

Financial Analysis on the Company Performance in Malaysia with Multi-Criteria Decision Making Model

Financial Analysis on the Company Performance in Malaysia with Multi-Criteria Decision Making Model Systems Sciece ad Applied Mathematics Vol., No., 206, pp. -7 http://www.aisciece.org/joural/ssam Fiacial Aalysis o the Compay Performace i Malaysia with Multi-Criteria Decisio Makig Model Liew Kah Fai,

More information

Estimating Proportions with Confidence

Estimating Proportions with Confidence Aoucemets: Discussio today is review for midterm, o credit. You may atted more tha oe discussio sectio. Brig sheets of otes ad calculator to midterm. We will provide Scatro form. Homework: (Due Wed Chapter

More information

CD Appendix AC Index Numbers

CD Appendix AC Index Numbers CD Appedix AC Idex Numbers I Chapter 20, we preseted a variety of techiques for aalyzig ad forecastig time series. This appedix is devoted to the simpler task of developig descriptive measuremets of the

More information

PX Index Manual (1) M(0) = CZK 379,786,853,620.0 is the market capitalisation of the base on the starting date of 5 April 1994

PX Index Manual (1) M(0) = CZK 379,786,853,620.0 is the market capitalisation of the base on the starting date of 5 April 1994 PX Idex aual I. Itroductio The PX idex is the official idex of the Prague Stock Exchage (hereiafter referred to as the Stock Exchage ). The PX idex was calculated for the first time o 20 arch 2006 whe

More information

EU ETS Hearing, European Parliament Xavier Labandeira, FSR Climate (EUI)

EU ETS Hearing, European Parliament Xavier Labandeira, FSR Climate (EUI) EU ETS Hearig, Europea Parliamet Xavier Labadeira, FSR Climate (EUI) 0. Thaks Chairma, MEPs. Thak you very much for ivitig me here today. I am hoored to participate i the work of a Committee whose previous

More information

2013/4/9. Topics Covered. Principles of Corporate Finance. Time Value of Money. Time Value of Money. Future Value

2013/4/9. Topics Covered. Principles of Corporate Finance. Time Value of Money. Time Value of Money. Future Value 3/4/9 Priciples of orporate Fiace By Zhag Xiaorog : How to alculate s Topics overed ad Future Value Net NPV Rule ad IRR Rule Opportuity ost of apital Valuig Log-Lived Assets PV alculatio Short uts ompoud

More information

Where a business has two competing investment opportunities the one with the higher NPV should be selected.

Where a business has two competing investment opportunities the one with the higher NPV should be selected. Where a busiess has two competig ivestmet opportuities the oe with the higher should be selected. Logically the value of a busiess should be the sum of all of the projects which it has i operatio at the

More information

IMPLICATIONS OF A FIRM S MARKET WEIGHT IN A CAPM FRAMEWORK

IMPLICATIONS OF A FIRM S MARKET WEIGHT IN A CAPM FRAMEWORK IMPLICATIONS OF A FIRM S MARKET WEIGHT IN A CAPM FRAMEWORK Marti Lally School of Ecoomics ad Fiace Victoria Uiversity of Welligto* ad Steve Swidler J. Staley Macki Professor of Fiace Departmet of Fiace

More information

Twitter: @Owe134866 www.mathsfreeresourcelibrary.com Prior Kowledge Check 1) State whether each variable is qualitative or quatitative: a) Car colour Qualitative b) Miles travelled by a cyclist c) Favourite

More information

of Asset Pricing APPENDIX 1 TO CHAPTER EXPECTED RETURN APPLICATION Expected Return

of Asset Pricing APPENDIX 1 TO CHAPTER EXPECTED RETURN APPLICATION Expected Return APPENDIX 1 TO CHAPTER 5 Models of Asset Pricig I Chapter 4, we saw that the retur o a asset (such as a bod) measures how much we gai from holdig that asset. Whe we make a decisio to buy a asset, we are

More information

Factors Affecting the Long-Run Stock Prices Performance in Iran

Factors Affecting the Long-Run Stock Prices Performance in Iran America Joural of Ecoomics 2017, 7(3): 125-130 DOI: 10.5923/.ecoomics.20170703.03 Factors Affectig the Log-Ru Stock Prices Performace i Ira Maryam Zare Islamic Azad Uiversity of Shiraz, Ira Abstract Stock

More information

Models of Asset Pricing

Models of Asset Pricing 4 Appedix 1 to Chapter Models of Asset Pricig I this appedix, we first examie why diversificatio, the holdig of may risky assets i a portfolio, reduces the overall risk a ivestor faces. The we will see

More information

FINM6900 Finance Theory How Is Asymmetric Information Reflected in Asset Prices?

FINM6900 Finance Theory How Is Asymmetric Information Reflected in Asset Prices? FINM6900 Fiace Theory How Is Asymmetric Iformatio Reflected i Asset Prices? February 3, 2012 Referece S. Grossma, O the Efficiecy of Competitive Stock Markets where Traders Have Diverse iformatio, Joural

More information