PROJECT RISK SIMULATION UNDER UNCERTAIN CONSTRUCTION DURATION. Kun-Jung Hsu

Size: px
Start display at page:

Download "PROJECT RISK SIMULATION UNDER UNCERTAIN CONSTRUCTION DURATION. Kun-Jung Hsu"

Transcription

1 Proceedigs of the 004 Witer Simulatio Coferece R.G. Igalls, M. D. Rossetti, J. S. Smith, ad B. A. Peters, eds. PROJECT RISK SIMULATION UNDER UNCERTAIN CONSTRUCTION DURATION Ku-Jug Departmet of Costructio Techology Leader Uiversity No.88 Sec. 5, A-Chug Rd. Taia, 709, TAIWAN ABSTRACT This paper establishes a two-phase model to explore the fiacial risk of costructio project uder ucertai costructio duratio. Treated as a radom variable i the model, the costructio duratio affects the radom preset worth of cash flow i both costructio ad operatio phases. A illustratio of BOT project uder ucertai costructio duratio was utilized for simulatio. The simulatio result was applied to reveal how ucertai costructio duratio affects project risk. The paper also shows how the stadard deviatio of the icreases wheever the variace of costructio duratio rises, thus accetuatig the cotigecy of the project. The results aalysis exteded to the discussio of its effect o the probability of egative ad its theoretical meaigs. INTRODUCTION Capital ivestmet ofte ivolves substatial costructio. Therefore, the fud eeded i the iitial stage is huge. Usually, after the costructio iitiated, i case of serious delay or work suspesio, the startig time for iitial busiess operatio is doomed to procrastiate. It implies detrimetal iflueces, particularly for a chartered cotract with fixed term. Usually, a costructio project is assumed to be completed o schedule withi predetermied budget, ad operates toward the ed of the project term uder the desiged capacity. So, it is commoly see i the busiess of capital ivestmet to iclude costructio project maagemet team credited with sizable resources. I such case, costructio work items are documeted i detail ad charted with accuracy. These maagemet activities are executed to make sure the works get completed o schedule. Most of the et preset value ( calculatios i the project evaluatio literatures assumed fixed costructio duratios. The risks geerated from this variatio that could affect the project evaluatio is still lack discourse i theory. As for risk aalysis, it is formulated by assessig the probability distributio of the factors affectig fiacial ecoomic criterio for the alterative selected (Hillier 963, Hertz 964, Hespos ad Strassma 965, Wagle 967, Hillier 97, Greeberg 98. The risk geerated from the variatio of costructio duratio could affect both the preset worth cash flow i costructio phase ad operatio phase. This correlated effect is ofte metioed i the realm of professioal practice, but ot thoroughly explored ad clarified. This paper first presets a two-phase cash flow model depictig the resulted from project fiace activities. The costructio duratio is treated as a radom variable i the formulatio of the model, which is used to derive the risk magitude affectig, ad the probability of resultig i egative. A illustrative example of BOT project uder ucertai costructio duratio was the utilized for simulatio. The coclusio remark is draw i the fial sectio. THE MODEL is the most popular idex i project evaluatio. I most BOT projects, the geeral cotractor faces a fixed period of implemetatio i accordace with the relevat cotract. I such cases, the period of the project is limited by N-year cocessios. If A j is the et cash flow arisig i year j coected with a capital ivestmet project. The of a project is A =, ( N j j= 0 ( + i where i is discrete discout rate. The of such project ca be preseted as cotiuous cash flow of period from 0 to N, ad ca be rewritte as defiite itegral form i equatio ( N 0 j j -rj = A e dj, (

2 where r is the omial cotiuous-compoud iterest rate, ad e is the base of atural logarithms. For practical purposes, we ca use r = l (+ i i order to relate i to r. Let represets the ed of the costructio phase at which the positive et cash-iflow of the operatio phase begis. Geerally speakig, project ivestmet is always plaed to geerate icome that covers the operatig cost ad the debt services resulted from project related fiacig activities. I the begiig of a costructio project, it requires a sizable fud to cover the acquisitio of lad, machiery, materials, egieerig ad costructio work. Meawhile, i most cases, there is o icome geerated from the projects. The cost of a project starts to accumulate as soo as the capital is ivested. The magitude of risk grows i proportio to the accumulated cost throughout the etire costructio duratio. I case of work suspesio durig costructio at ay time, the deferred cash icome for the project becomes uavoidable. So let j=0- represet period of the costructio phase, ad j= -N represet period of the operatio phase. The of such a BOT project thus ca be represeted as a cash flow model with a twophase framework, ad rewritte equatio ( as = -rj N -rj 0 A j e dj + A j e dj. (3 The first term represets the total preset value of the cash flow durig the costructio phase, ad the secod term represets the total preset value of the cash flow durig the operatio phase. I equatio (3, A j represets the et cash flow that occurs i year j. A j ca be treated as the summatio of cash iflows (icludig operatio icome, retal icome etc. ad cash outflows (icludig operatio expeditures, maiteace fees etc. I the cotext of project evaluatio, operatio expeditures ad maiteace fees are usually treated as a compoet of the operatio icome or the retal icome, respectively. A project evaluatio may also assig a costat growth rate for a reveue or expediture item. Also, the et cash flow of operatio expeditures ad maiteace fees from period to N i the operatio phase ca be calculated as the aual value i the evaluatio. I order to cotrol for other variables costat ad explore the effect of the ucertai costructio period o project risk both i aalytics ad simulatio model, we eed some reasoable simplificatio. For example, the risk durig the operatio phase is assumed to be egligible. This simplificatio results i a more parsimoious model without ay serious loss of realism. If the total costructio cost C is paid at the ed of costructio phase, the PV of the sigle paymet at is -rj C e. Let a represets a uiform cash flow i the time horizo of the operatio phase. The ca be represeted as - r N - rj e a e = C + dj. (4 Equatio (4 ca be simplified as -r a -r -r N = Ce + ( e - e. (5 r The first term i equatio (5 represets the preset value of the total costructio cost paid at the ed of the costructio phase (PV. The secod term represets the preset value of the cotiuous uiform cash flow of the operatio phase (PV. Mathematically, it ca be iterpreted as the preset value of the same perpetual auity, a (from time N oward beig subtracted from the preset value of a ifiite sequece of the aual cash flow a (from time oward. 3 THE MARGINAL EFFECT OF UNDER UNCERTAIN CONSTRUCTION DURATION I equatio (5, wheever costructio duratio postpoe, costat N-year cocessios will iduce a loss of cash iflow i operatio phase. But costructio duratio postpoe will also lower the preset worth of the total costructio cost because of delay paymet ad save the time cost of early paymet. So wheever costructio duratio postpoe, if loss of cash-iflow i operatio phase ca be compesated by iterest savig of total costructio cost paymet i costructio phase, the postpoe of costructio duratio will icrease the project value. But if the savig of total costructio cost i costructio phase caot compesate the losses of cash-iflow i operatio phase, the postpoe of costructio duratio will decrease the project value. But wheever is a radom variable ad with a give probability distributio. The expectatio ad variace of preset value of the cash outflow of C which depeds o the costructio duratio will be more complicate. Let expected preset value of C deoted as E [ PV ( ], ad is give by -r -r [ PV ( ] E[ C e ] = E[ C ] E[ e ] E =. (8 Sice the preset value factor is ot a liear fuctio -r -r [ ] of ; E[ e ] e E, we caot calculate E [ PV ( ] by isertig E( i i (8. The expec-

3 -r tatio of e ca be writte as the Laplace Trasform of the probability desity fuctio E -r ( e = L ( r -r The variace of e ca be writte as ( r L ( r -r Var( e L - Equatio (8 ca be rewritte as. (9 [ ] =. (0 [ PV ( ] L ( r E µ c =. ( Var[EXP(-r] Ucertai Costructio Duratio: Var[EXP(-r] vs. var(exp(-r 5 9 The variace of the preset value of such a sigle paymet is c c c [ [ L ( r ( r ] [ L ( r ] r r [ PV ( ] = ( µ + Var( e + E( e ] Var = ( µ c + c (L + c -. ( The Laplace Trasform of differet probability desity fuctios has bee explored by Youg ad Cotreras (975 ad Rosethal (978. Give a probability distributio fuctio of -r, ( -r E e ad Var ( e ca be derived usig the Laplace Trasform. Let µ represets mea value of costructio duratio, oe ca simulates Var( e vs. µ -r ad -r -r Var( e vs. r. The results of simulatio Var( e vs. µ represet i Figure, which show a decreasig curve. But the o-liear relatioship betwee -r Var( e vs. r will be more complicated. The paper -r simulates Var( e vs. r ad shows results the oliear relatioship i Figure. The o-liear relatioship -r shows the directio of margial effect o Var( e vs. r will be o-defiite. The variace of the of the total project will be affected by margial chage or the variace of. But, the compoet of the effect will be more complicatedly. I such situatio, the paper give a illustrative example to simulate the two-phase model i Sectio 4, the discusses the simulatio results i details thereafter. 4 SIMULATION ON ILLUSTRATIVE EXAMPLE I most BOT projects, the geeral cotractor faces a fixed period of implemetatio i accordace with the relevat Var[EXP(-r] Figure : Ucertai Costructio Duratio: -r Var( e vs. µ Ucertai Costructio Duratio: Var[EXP(-r] vs. r % 5% 9% 3% 7% % 5% 9% r var(exp(-r Figure : Ucertai Costructio Duratio: -r Var( e vs. r cotract. The period of the project is limited by N-year cocessios. The fiacial idex of a BOT-Project ca be represeted as a cash flow model with a two-phase form, which has bee discussed i Sectio 3. I order to reveal how costructio duratio ucertaity affects project risk, the simulatio case i this paper was largely simplified from the case study of Taiwa High Speed Rail (THSR. So that result ad meaig exhibited here is applicable i similar case. Bureau of Taiwa High Speed Rail (BOTHSR implemeted BOT policy ad ivited private sectors to fiace ad costruct the HSR Project i 996. THSRC ad the ROC Miistry of Trasportatio ad Commuicatios siged the BOT Agreemet. Govermet cocessios awarded to THSRC the costructio ad operatio of the 345 km HSR Project, the maagemet of subsidiary commercial eterprises, ad the developmet of the five statios

4 areas (iclude 35 year cocessios of Costructio ad Operatio, the Statio Zoe Developmet Agreemet, 50 years cocessios of Busiess Developmet Lad Agreemet, the Memoradum o Govermet Commitmets, ad the Cotract Executio Memoradum. By the year 000, THSRC etered ito all major civil works cotracts. The costructio commeced soo after, ad scheduled to operate at the ed of 005. Total costructio budget for HSR project approximates 44.9 billio NTD ( com.tw/emai/hsr/hsr.asp. I HSR Project, the operatio expediture is represeted as the fuctio of ridership ad the growth rate of ridership. Let C be the operatio expediture of the first year operatio phase, g is the growth rate of ridership, the preset value of total operatio expediture (PV ca be writte as PV + ( + g ( + r = C * ( + r r g. (3 Let R represets operatio icome of the first year operatio phase, g is the growth rate of average ridership price, the preset value of total operatio icome (PV ca be writte as PV ( + g ( + r r g * N N R * ( + r * =, (4 where g* = g + g +g g. For simplificatio, let average icome of the total the statio zoe developmet ad busiess developmet lad be costat (R. The preset value of total developmet (PV 3 ca be writte as effect o totalig the statio zoe developmet ad busiess developmet lad. Table : Risk Profile of the Project uder Ucertai Costructio Duratio (Uit: 00 Millio NTD CL(% Value 5% % % % % % % % % % % % %.54 70% % % % % % Miimum Maximum Mea Std Dev 8.44 Variace 33,83.86 PV ( + i i( + i 3 = R * ( + i. (5 So oe ca decompose the ad rewrite equatio (5 as = VP + PV + PV + PV 3. (6 The risk profile of THSR Project uder ucertai costructio duratio is show i Table, Figure 3, Figure 4. I which Mote Carlo Simulatio was applied usig ad ru 0000 iteratios. The simulatio also shows the compoet of project risk uder ucertai duratio. I Table, the compoet shares of the project risk show that the mai cost risk derive from the effect o costructio cost. The mai reveue risk derive from the (Uit: 00 millio NTD Figure 3: PDF of the Project Risk uder Ucertai Costructio Duratio

5 which will icrease the probability of a egative project. This will icrease cotigecy of the BOT-Project. 5 CONCLUSION REMARK (Uit: 00 millio NTD Figure 4: CDF of the Project Risk uder Ucertai Costructio Duratio Followig the same process, it s easy to simulate how the variace of costructio duratio will icrease the variace project. So the stadard deviatio of the project icreases as well. Thus affect the probability areas of a egative of the project. Give the expectatio ad the variace of project, the probability of a egative of the project ivestmet ca be derived as - µ 0 - µ µ Pr( 0 = Pr ( - = Pr ( Z, (7 where - µ Z =. I equatio (7, the term o the right had side of the bracket icludes a egative sig, so that wheever the stadard deviatio of ( icreases, the critical - value of Z-Score ( µ for a 0 will also i- crease. Hece, the critical value of Z-Score icreases ad moves toward the right had side alog the axis of the probability distributio fuctio, the icreasig the area uder the probability distributio fuctio from - Z, Capital ivestmet ofte ivolves substatial costructio. Costructio project maagemet is executed to cotrol ad isure the work to be completed o schedule. Most of the et preset value calculatios i the project evaluatio literatures assumed fixed costructio duratios. But this paper allows the costructio duratio to be radom, which will be more realistically applicable for project maagemet i large capital ivestmet projects. This relaxatio provides profoud meaigs. A illustrative example of BOT-Project uder ucertai costructio duratio was the simulated. I the ed, the paper shows that wheever the variace of the costructio duratio icreases, the stadard deviatio of the project icreases as well. Hece, icrease the probability of a egative project. ACKNOWLEDGMENTS The author would like to thak Professor David Emauel Aderso for his Eglish grammar review of the paper. REFERENCES Bureau of Taiwa High Speed Rail Project Overview of the high speed railroad system i Taiwa. Available olie via < hsr.asp> [accessed Jauary 5, 004]. Greeberg, Joel S. 98. Ivestmet Decisios: The Ifluece of Risk ad other factors, New York: Research ad Iformatio Service, America Maagemet Associatios. Hertz, D.B Risk Aalysis i Capital Ivestmet, Harvard Busiess Review 4: Hespos, R. G. ad P. A. Strassma Stochastic Decisio Trees for the Aalysis of Ivestmet Decisios, Maagemet Sciece : Hillier, Frederick S The Derivatio of Probabilistic Iformatio for the Evaluatio of Risk Ivestmet, Maagemet sciece 9: Hillier, Frederick S. 97. The evaluatio of risky iterrelated ivestmets, Amsterdam: North-Hollad. Rosethal, Richard E The Variace of Preset Worth of Cash Flows Uder Ucertai Timig, The Egieerig Ecoomist 3: Wagle, B A Statistical aalysis of risk i ivestmet projects, Operatioal research quarterly 8: Youg, D. ad L. E. Cotreras Expected Preset Worths of Cash Flows Uder Ucertai Timig, The Egieerig Ecoomist 0:

6 Table : Compoets of the Project Risk Simulatio uder Ucertai Costructio Duratio (Uit: 00 millio NTD Cost Reveue Reveue from the statio zoe Name Costructio Operatio Operatio Costructio developmet Cost Expediture Icome Duratio ad busiess PV PV PV developmet lad PV 3 Mea -3, , , , Source 00% 0% % 99% Std Deviatio Source -75% -0% % 73% % 0% % 99% Source of Variace 8, , Variace -*4.94 -*4, *0.03 -*3.8 AUTHOR BIOGRAPHY KUN-JUNG HSU is Assistat Professor ad Director of the Departmet of Costructio Techology, Leader Uiversity. He received his Ph.D. degree i Civil Egieerig from Natioal Taiwa Uiversity. He is also a seior lecturer of the Graduate Istitute of Buildig ad Plaig, Taiwa Uiversity. Dr. had twety years experiece i professioal practice as a seior architect ad costructio maager. He teaches i Statistics, Regressio Aalysis, Ecoomics, Costructio Ecoomics, Quatitative Method, ad Costructio System for Architectural Desig, Architectural Desig, etc. His curret research iterests iclude housig ecoomics, costructio ecoomics ad special topics o project evaluatio. His address is <hsu@mail.leader.edu.tw>. Total Variace = 33,

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

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

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

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

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

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

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

. (The calculated sample mean is symbolized by x.)

. (The calculated sample mean is symbolized by x.) Stat 40, sectio 5.4 The Cetral Limit Theorem otes by Tim Pilachowski If you have t doe it yet, go to the Stat 40 page ad dowload the hadout 5.4 supplemet Cetral Limit Theorem. The homework (both practice

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

A Technical Description of the STARS Efficiency Rating System Calculation

A Technical Description of the STARS Efficiency Rating System Calculation A Techical Descriptio of the STARS Efficiecy Ratig System Calculatio The followig is a techical descriptio of the efficiecy ratig calculatio process used by the Office of Superitedet of Public Istructio

More information

Methodology on setting the booking prices Project Development and expansion of Bulgartransgaz EAD gas transmission system

Methodology on setting the booking prices Project Development and expansion of Bulgartransgaz EAD gas transmission system Methodology o settig the bookig prices Project Developmet ad expasio of Bulgartrasgaz EAD gas trasmissio system Art.1. The preset Methodology determies the coditios, order, major requiremets ad model of

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

Dr. Maddah ENMG 624 Financial Eng g I 03/22/06. Chapter 6 Mean-Variance Portfolio Theory

Dr. Maddah ENMG 624 Financial Eng g I 03/22/06. Chapter 6 Mean-Variance Portfolio Theory Dr Maddah ENMG 64 Fiacial Eg g I 03//06 Chapter 6 Mea-Variace Portfolio Theory Sigle Period Ivestmets Typically, i a ivestmet the iitial outlay of capital is kow but the retur is ucertai A sigle-period

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

ENGINEERING ECONOMICS

ENGINEERING ECONOMICS ENGINEERING ECONOMICS Ref. Grat, Ireso & Leaveworth, "Priciples of Egieerig Ecoomy'','- Roald Press, 6th ed., New York, 1976. INTRODUCTION Choice Amogst Alteratives 1) Why do it at all? 2) Why do it ow?

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

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

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

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

2. The Time Value of Money

2. The Time Value of Money 2. The Time Value of Moey Problem 4 Suppose you deposit $100 i the bak today ad it ears iterest at a rate of 10% compouded aually. How much will be i the accout 50 years from today? I this case, $100 ivested

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

Chapter Four Learning Objectives Valuing Monetary Payments Now and in the Future

Chapter Four Learning Objectives Valuing Monetary Payments Now and in the Future Chapter Four Future Value, Preset Value, ad Iterest Rates Chapter 4 Learig Objectives Develop a uderstadig of 1. Time ad the value of paymets 2. Preset value versus future value 3. Nomial versus real iterest

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

MATH : EXAM 2 REVIEW. A = P 1 + AP R ) ny

MATH : EXAM 2 REVIEW. A = P 1 + AP R ) ny MATH 1030-008: EXAM 2 REVIEW Origially, I was havig you all memorize the basic compoud iterest formula. I ow wat you to memorize the geeral compoud iterest formula. This formula, whe = 1, is the same as

More information

Contents List of Files with Examples

Contents List of Files with Examples Paos Kostati Power ad Eergy Systems Egieerig Ecoomics Itroductio ad Istructios Cotets List of Files with Examples Frequetly used MS-Excel fuctios Add-Is developed by the Author Istallatio Istructio of

More information

Financial Analysis. Lecture 4 (4/12/2017)

Financial Analysis. Lecture 4 (4/12/2017) Fiacial Aalysis Lecture 4 (4/12/217) Fiacial Aalysis Evaluates maagemet alteratives based o fiacial profitability; Evaluates the opportuity costs of alteratives; Cash flows of costs ad reveues; The timig

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

First determine the payments under the payment system

First determine the payments under the payment system Corporate Fiace February 5, 2008 Problem Set # -- ANSWERS Klick. You wi a judgmet agaist a defedat worth $20,000,000. Uder state law, the defedat has the right to pay such a judgmet out over a 20 year

More information

Financial Analysis of Public- Private Partnership (PPP) Projects in Highways

Financial Analysis of Public- Private Partnership (PPP) Projects in Highways Trasport Forum ad Learig Week 2006 Workshop o HDM-4 Fiacial Aalysis of Public- Private Partership (PPP) Projects i Highways Cesar Queiroz Highway Advisor TUDTR World Bak, 24 March 2006 Presetatio Outlie

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

Productivity depending risk minimization of production activities

Productivity depending risk minimization of production activities Productivity depedig risk miimizatio of productio activities GEORGETTE KANARACHOU, VRASIDAS LEOPOULOS Productio Egieerig Sectio Natioal Techical Uiversity of Athes, Polytechioupolis Zografou, 15780 Athes

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

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

Mine Closure Risk Assessment A living process during the operation

Mine Closure Risk Assessment A living process during the operation Tailigs ad Mie Waste 2017 Baff, Alberta, Caada Mie Closure Risk Assessmet A livig process durig the operatio Cristiá Marambio Golder Associates Closure chroology Chilea reality Gov. 1997 Evirometal basis

More information

1 Savings Plans and Investments

1 Savings Plans and Investments 4C Lesso Usig ad Uderstadig Mathematics 6 1 Savigs las ad Ivestmets 1.1 The Savigs la Formula Lets put a $100 ito a accout at the ed of the moth. At the ed of the moth for 5 more moths, you deposit $100

More information

SOCIETY OF ACTUARIES FINANCIAL MATHEMATICS EXAM FM SAMPLE SOLUTIONS

SOCIETY OF ACTUARIES FINANCIAL MATHEMATICS EXAM FM SAMPLE SOLUTIONS SOCIETY OF ACTUARIES EXAM FM FINANCIAL MATHEMATICS EXAM FM SAMPLE SOLUTIONS This set of sample questios icludes those published o the iterest theory topic for use with previous versios of this examiatio.

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

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

Cost-benefit analysis of plasma technologies

Cost-benefit analysis of plasma technologies Cost-beefit aalysis of plasma techologies Professor Adra Blumberga, Riga Techical uiversity Part-fiaced by the Europea Uio (Europea Regioal Developmet Fud Cost- beefit aalysis Part-fiaced by the Europea

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

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

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

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

Structuring the Selling Employee/ Shareholder Transition Period Payments after a Closely Held Company Acquisition

Structuring the Selling Employee/ Shareholder Transition Period Payments after a Closely Held Company Acquisition Icome Tax Isights Structurig the Sellig Employee/ Shareholder Trasitio Period Paymets after a Closely Held Compay Acquisitio Robert F. Reilly, CPA Corporate acquirers ofte acquire closely held target compaies.

More information

A random variable is a variable whose value is a numerical outcome of a random phenomenon.

A random variable is a variable whose value is a numerical outcome of a random phenomenon. The Practice of Statistics, d ed ates, Moore, ad Stares Itroductio We are ofte more iterested i the umber of times a give outcome ca occur tha i the possible outcomes themselves For example, if we toss

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

FINANCIAL MATHEMATICS

FINANCIAL MATHEMATICS CHAPTER 7 FINANCIAL MATHEMATICS Page Cotets 7.1 Compoud Value 116 7.2 Compoud Value of a Auity 117 7.3 Sikig Fuds 118 7.4 Preset Value 121 7.5 Preset Value of a Auity 121 7.6 Term Loas ad Amortizatio 122

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

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

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

Online appendices from The xva Challenge by Jon Gregory. APPENDIX 10A: Exposure and swaption analogy.

Online appendices from The xva Challenge by Jon Gregory. APPENDIX 10A: Exposure and swaption analogy. APPENDIX 10A: Exposure ad swaptio aalogy. Sorese ad Bollier (1994), effectively calculate the CVA of a swap positio ad show this ca be writte as: CVA swap = LGD V swaptio (t; t i, T) PD(t i 1, t i ). i=1

More information

Section 3.3 Exercises Part A Simplify the following. 1. (3m 2 ) 5 2. x 7 x 11

Section 3.3 Exercises Part A Simplify the following. 1. (3m 2 ) 5 2. x 7 x 11 123 Sectio 3.3 Exercises Part A Simplify the followig. 1. (3m 2 ) 5 2. x 7 x 11 3. f 12 4. t 8 t 5 f 5 5. 3-4 6. 3x 7 4x 7. 3z 5 12z 3 8. 17 0 9. (g 8 ) -2 10. 14d 3 21d 7 11. (2m 2 5 g 8 ) 7 12. 5x 2

More information

Chapter 8: Estimation of Mean & Proportion. Introduction

Chapter 8: Estimation of Mean & Proportion. Introduction Chapter 8: Estimatio of Mea & Proportio 8.1 Estimatio, Poit Estimate, ad Iterval Estimate 8.2 Estimatio of a Populatio Mea: σ Kow 8.3 Estimatio of a Populatio Mea: σ Not Kow 8.4 Estimatio of a Populatio

More information

The self-assessment will test the following six major areas, relevant to studies in the Real Estate Division's credit-based courses:

The self-assessment will test the following six major areas, relevant to studies in the Real Estate Division's credit-based courses: Math Self-Assessmet This self-assessmet tool has bee created to assist studets review their ow math kowledge ad idetify areas where they may require more assistace. We hope that studets will complete this

More information

Introduction to Probability and Statistics Chapter 7

Introduction to Probability and Statistics Chapter 7 Itroductio to Probability ad Statistics Chapter 7 Ammar M. Sarha, asarha@mathstat.dal.ca Departmet of Mathematics ad Statistics, Dalhousie Uiversity Fall Semester 008 Chapter 7 Statistical Itervals Based

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

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

Supersedes: 1.3 This procedure assumes that the minimal conditions for applying ISO 3301:1975 have been met, but additional criteria can be used.

Supersedes: 1.3 This procedure assumes that the minimal conditions for applying ISO 3301:1975 have been met, but additional criteria can be used. Procedures Category: STATISTICAL METHODS Procedure: P-S-01 Page: 1 of 9 Paired Differece Experiet Procedure 1.0 Purpose 1.1 The purpose of this procedure is to provide istructios that ay be used for perforig

More information

Life Products Bulletin

Life Products Bulletin Life Products Bulleti Tredsetter Super Series Tredsetter Super Series: 2009 Chages Effective September 1, 2009, Trasamerica Life Isurace Compay is releasig ew rates for Tredsetter Super Series level premium

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

Chapter 5: Sequences and Series

Chapter 5: Sequences and Series Chapter 5: Sequeces ad Series 1. Sequeces 2. Arithmetic ad Geometric Sequeces 3. Summatio Notatio 4. Arithmetic Series 5. Geometric Series 6. Mortgage Paymets LESSON 1 SEQUENCES I Commo Core Algebra I,

More information

Course FM/2 Practice Exam 1 Solutions

Course FM/2 Practice Exam 1 Solutions Course FM/2 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

A Leading Diversified Mid-Tier Miner

A Leading Diversified Mid-Tier Miner A Leadig Diversified Mid-Tier Mier Q3 2017 & TIMOK PEA RESULTS CONFERENCE CALL October 27, 2017 TSX & NYSE MKT NSU 1 Forward Lookig Statemets This Presetatio cotais forward-lookig statemets or forward-lookig

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

An Empirical Research on the Structure of Public Expenditure and Economic Growth Evidence from China

An Empirical Research on the Structure of Public Expenditure and Economic Growth Evidence from China Iteratioal Joural of Ecoomics ad Fiace; Vol. 8, No. 3; 206 ISSN 96-97X E-ISSN 96-9728 Published by Caadia Ceter of Sciece ad Educatio A Empirical Research o the Structure of Public Expediture ad Ecoomic

More information

MS-E2114 Investment Science Exercise 2/2016, Solutions

MS-E2114 Investment Science Exercise 2/2016, Solutions MS-E24 Ivestmet Sciece Exercise 2/206, Solutios 26.2.205 Perpetual auity pays a xed sum periodically forever. Suppose a amout A is paid at the ed of each period, ad suppose the per-period iterest rate

More information

Chapter Four 1/15/2018. Learning Objectives. The Meaning of Interest Rates Future Value, Present Value, and Interest Rates Chapter 4, Part 1.

Chapter Four 1/15/2018. Learning Objectives. The Meaning of Interest Rates Future Value, Present Value, and Interest Rates Chapter 4, Part 1. Chapter Four The Meaig of Iterest Rates Future Value, Preset Value, ad Iterest Rates Chapter 4, Part 1 Preview Develop uderstadig of exactly what the phrase iterest rates meas. I this chapter, we see that

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

Monetary Economics: Problem Set #5 Solutions

Monetary Economics: Problem Set #5 Solutions Moetary Ecoomics oblem Set #5 Moetary Ecoomics: oblem Set #5 Solutios This problem set is marked out of 1 poits. The weight give to each part is idicated below. Please cotact me asap if you have ay questios.

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

Quarterly Update First Quarter 2018

Quarterly Update First Quarter 2018 EDWARD JONES ADVISORY SOLUTIONS Quarterly Update First Quarter 2018 www.edwardjoes.com Member SIPC Key Steps to Fiacial Success We Use a Established Process 5 HOW CAN I STAY ON TRACK? 4 HOW DO I GET THERE?

More information

0.07. i PV Qa Q Q i n. Chapter 3, Section 2

0.07. i PV Qa Q Q i n. Chapter 3, Section 2 Chapter 3, Sectio 2 1. (S13HW) Calculate the preset value for a auity that pays 500 at the ed of each year for 20 years. You are give that the aual iterest rate is 7%. 20 1 v 1 1.07 PV Qa Q 500 5297.01

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

Control Charts for Mean under Shrinkage Technique

Control Charts for Mean under Shrinkage Technique Helderma Verlag Ecoomic Quality Cotrol ISSN 0940-5151 Vol 24 (2009), No. 2, 255 261 Cotrol Charts for Mea uder Shrikage Techique J. R. Sigh ad Mujahida Sayyed Abstract: I this paper a attempt is made to

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

5. Best Unbiased Estimators

5. Best Unbiased Estimators Best Ubiased Estimators http://www.math.uah.edu/stat/poit/ubiased.xhtml 1 of 7 7/16/2009 6:13 AM Virtual Laboratories > 7. Poit Estimatio > 1 2 3 4 5 6 5. Best Ubiased Estimators Basic Theory Cosider agai

More information

Non-Inferiority Logrank Tests

Non-Inferiority Logrank Tests Chapter 706 No-Iferiority Lograk Tests Itroductio This module computes the sample size ad power for o-iferiority tests uder the assumptio of proportioal hazards. Accrual time ad follow-up time are icluded

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

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

EVIDENCE ON THE DISTRIBUTIONAL EFFECTS OF A LAND VALUE TAX ON RESIDENTIAL HOUSEHOLDS. Elizabeth Plummer

EVIDENCE ON THE DISTRIBUTIONAL EFFECTS OF A LAND VALUE TAX ON RESIDENTIAL HOUSEHOLDS. Elizabeth Plummer Natioal Tax Joural, March 2010, 63 (1), 63 92 EVIDENCE ON THE DISTRIBUTIONAL EFFECTS OF A LAND VALUE TAX ON RESIDENTIAL HOUSEHOLDS Elizabeth Plummer This study examies how replacig a uiform property tax

More information

Monopoly vs. Competition in Light of Extraction Norms. Abstract

Monopoly vs. Competition in Light of Extraction Norms. Abstract Moopoly vs. Competitio i Light of Extractio Norms By Arkadi Koziashvili, Shmuel Nitza ad Yossef Tobol Abstract This ote demostrates that whether the market is competitive or moopolistic eed ot be the result

More information

Risk Assessment for Project Plan Collapse

Risk Assessment for Project Plan Collapse 518 Proceedigs of the 8th Iteratioal Coferece o Iovatio & Maagemet Risk Assessmet for Project Pla Collapse Naoki Satoh 1, Hiromitsu Kumamoto 2, Norio Ohta 3 1. Wakayama Uiversity, Wakayama Uiv., Sakaedai

More information

Today: Finish Chapter 9 (Sections 9.6 to 9.8 and 9.9 Lesson 3)

Today: Finish Chapter 9 (Sections 9.6 to 9.8 and 9.9 Lesson 3) Today: Fiish Chapter 9 (Sectios 9.6 to 9.8 ad 9.9 Lesso 3) ANNOUNCEMENTS: Quiz #7 begis after class today, eds Moday at 3pm. Quiz #8 will begi ext Friday ad ed at 10am Moday (day of fial). There will be

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

Overlapping Generations

Overlapping Generations Eco. 53a all 996 C. Sims. troductio Overlappig Geeratios We wat to study how asset markets allow idividuals, motivated by the eed to provide icome for their retiremet years, to fiace capital accumulatio

More information

Research Article The Probability That a Measurement Falls within a Range of n Standard Deviations from an Estimate of the Mean

Research Article The Probability That a Measurement Falls within a Range of n Standard Deviations from an Estimate of the Mean Iteratioal Scholarly Research Network ISRN Applied Mathematics Volume 0, Article ID 70806, 8 pages doi:0.540/0/70806 Research Article The Probability That a Measuremet Falls withi a Rage of Stadard Deviatios

More information

Combining imperfect data, and an introduction to data assimilation Ross Bannister, NCEO, September 2010

Combining imperfect data, and an introduction to data assimilation Ross Bannister, NCEO, September 2010 Combiig imperfect data, ad a itroductio to data assimilatio Ross Baister, NCEO, September 00 rbaister@readigacuk The probability desity fuctio (PDF prob that x lies betwee x ad x + dx p (x restrictio o

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

Fixed Income Securities

Fixed Income Securities Prof. Stefao Mazzotta Keesaw State Uiversity Fixed Icome Securities FIN4320. Fall 2006 Sample First Midterm Exam Last Name: First Name: Studet ID Number: Exam time is: 80 miutes. Total poits for this exam

More information

Osborne Books Update. Financial Statements of Limited Companies Tutorial

Osborne Books Update. Financial Statements of Limited Companies Tutorial Osbore Books Update Fiacial Statemets of Limited Compaies Tutorial Website update otes September 2018 2 f i a c i a l s t a t e m e t s o f l i m i t e d c o m p a i e s I N T R O D U C T I O N The followig

More information

Department of Mathematics, S.R.K.R. Engineering College, Bhimavaram, A.P., India 2

Department of Mathematics, S.R.K.R. Engineering College, Bhimavaram, A.P., India 2 Skewess Corrected Cotrol charts for two Iverted Models R. Subba Rao* 1, Pushpa Latha Mamidi 2, M.S. Ravi Kumar 3 1 Departmet of Mathematics, S.R.K.R. Egieerig College, Bhimavaram, A.P., Idia 2 Departmet

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

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

1 Basic Growth Models

1 Basic Growth Models UCLA Aderso MGMT37B: Fudametals i Fiace Fall 015) Week #1 rofessor Eduardo Schwartz November 9, 015 Hadout writte by Sheje Hshieh 1 Basic Growth Models 1.1 Cotiuous Compoudig roof: lim 1 + i m = expi)

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 roll-out of the Jobcentre Plus Office network

The roll-out of the Jobcentre Plus Office network Departmet for Work ad Pesios The roll-out of the Jobcetre Plus Office etwork REPORT BY THE COMPTROLLER AND AUDITOR GENERAL HC 346 Sessio 2007-2008 22 February 2008 SummARy What is the Jobcetre Plus roll-out?

More information

Fixed Income Securities

Fixed Income Securities Prof. Stefao Mazzotta Keesaw State Uiversity Fixed Icome Securities Sample First Midterm Exam Last Name: First Name: Studet ID Number: Exam time is: 80 miutes. Total poits for this exam is: 400 poits Prelimiaries

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

Published financial statements of limited companies

Published financial statements of limited companies 3 Published fiacial statemets of limited compaies this chapter covers... I this chapter we focus o the published fiacial statemets of limited compaies ad look at: the purpose ad compoets of fiacial statemets

More information

Inferential Statistics and Probability a Holistic Approach. Inference Process. Inference Process. Chapter 8 Slides. Maurice Geraghty,

Inferential Statistics and Probability a Holistic Approach. Inference Process. Inference Process. Chapter 8 Slides. Maurice Geraghty, Iferetial Statistics ad Probability a Holistic Approach Chapter 8 Poit Estimatio ad Cofidece Itervals This Course Material by Maurice Geraghty is licesed uder a Creative Commos Attributio-ShareAlike 4.0

More information