7.4. Annuities. Investigate

Size: px
Start display at page:

Download "7.4. Annuities. Investigate"

Transcription

1 7.4 Annutes How would you lke to be a mllonare wthout workng all your lfe to earn t? Perhaps f you were lucky enough to wn a lottery or have an amazng run on a televson game show, t would happen. For most people, however, fantases such as these are not lkely to come true. However, what f you saved money from a very early age? Is t possble to accumulate a mllon dollars n your lfetme? When people nvest, they usually do not smply depost one lump sum and wat several years for t to earn nterest. Most wse nvestors make regular payments, often deducted drectly from ther paycheques. Investments of ths type are called annutes. In ths chapter, you wll encounter only ordnary smple annutes. Investgate regular payments payments of equal value made at equal tme perods annuty a sum of money pad as a seres of regular payments ordnary annuty an annuty for whch the payments are made at the end of each payment perod smple annuty an annuty for whch the compoundng and payment perods are the same How can you determne the amount of an annuty? Coln s awarded $500 per year as long as he mantans a certan average mark for each of hs 4 years of hgh school. Coln plans to depost hs award at the end of each school year nto an account that pays 4% per year, compounded annually. 1. a) Assumng that Coln mantans the necessary average, how many tmes wll he receve $500? b) Wll each of these $500 deposts earn the same nterest, n dollars? Explan. 2. a) Determne a method of calculatng the total amount of Coln s nvestment at graduaton. b) Carry out the method. How much wll be n Coln s account when he graduates? 3. eflect Consder the method that you used to solve ths problem. Would your method be effcent f the number of regular payments was very large? Why or why not? 444 MH Functons 11 Chapter 7

2 Stuatons lke the one descrbed n the Investgate can be represented usng a tme lne. The tme lne shows that a regular payment,, n dollars, s deposted nto an account at the end of each compoundng perod, for n perods. Because these deposts are made at dfferent tmes, they wll each earn dfferent amounts of nterest. For example, the last payment wll earn no nterest, because t wll be receved at the end of the annuty. To determne the amount that each of the other deposts wll earn, apply the compound nterest formula A 5 P(1 ) n to each payment ndvdually. tme lne a dagram used to llustrate the cash flow of an annuty Compoundng Perod Now 1 2 n 2 n 1 n (1 + ) 1 (1 + ) 2 (1 + ) n 2 (1 + ) n 1 The amount, A, of the annuty can be determned by addng the amounts of all the payments. A 5 (1 ) (1 ) 2... (1 ) n 2 (1 ) n 1 Snce ths s a geometrc seres wth frst term a 5 and common rato r 5 1, use the formula for the sum of a geometrc seres. S n 5 a(r n 1) r 1 5 [(1 )n 1] (1 ) 1 5 [(1 )n 1] The total amount, A, at the tme of the last payment of an annuty can be determned usng the formula A 5 [(1 )n 1], where represents the regular payment, n dollars; represents the nterest rate per compoundng perod, as a decmal; and n represents the number of compoundng perods. Ths equaton can also be wrtten n terms of future value as FV 5 [(1 )n 1]. Connectons You studed geometrc seres n Chapter 6 Dscrete Functons. Connectons In ths course, you wll study only ordnary smple annutes. You wll study more complex annutes wth, for example, dfferent compoundng and payment perods, f you choose to study busness at unversty or college. 7.4 Annutes MH 445

3 Example 1 Amount of an Annuty At the end of every month, Hosh deposts $100 n an account that pays 6% per year, compounded monthly. He does ths for 3 years. a) Draw a tme lne to represent ths annuty. b) Determne the amount n the account after 3 years. c) How much nterest wll the annuty have earned? Soluton a) Determne the nterest per compoundng perod and the number of compoundng perods before drawng the tme lne. 5 _ n Tme (months) Now (1.005) (1.005) (1.005) 35 b) Method 1: Use a Scentfc Calculator Substtute the known values nto the formula for the amount of an annuty and evaluate. A 5 [(1 )n 1] 5 100[( )36 1] _ 5 100( ) 100 ( y x 36 1 ) The amount n Hosh s account after 3 years wll be $ MH Functons 11 Chapter 7

4 Method 2: Use a TVM Solver Access the TVM Solver on a graphng calculator and enter the values, as shown. Move the cursor to the FV feld and press ALPHA [SOLVE]. When solvng for an annuty, enter the number of payments for N. The negatve sgn ndcates that payments are beng pad, not receved. Both the number of payments and the compoundng perods per year are 12. The future value of the sum of Hosh s payments s $ Ths s the amount n hs account after 3 years. c) To determne the nterest earned, calculate the dfference between the actual dollar sum of Hosh s payments and the future value of the annuty. Hosh made 36 payments of $100, for a total of $3600. Interest Hosh s annuty earned $ n nterest. Example 2 Determne the egular Payment Sada needs $0 for unversty tuton when she graduates n 2 years. She plans to make deposts nto an account that earns 6.5% per year, compounded b-weekly. a) Draw a tme lne to represent ths annuty. b) How much should she depost b-weekly? Soluton a) B-weekly means every 2 weeks. Snce there are 52 weeks n a year, the number of compoundng perods per year s 52 2, or n Annutes MH 447

5 The regular payment,, s unknown, but the total future value of the annuty, A, s $0. A tme lne representng ths annuty s shown. Tme (2-week perods) Now (1.0025) 1 (1.0025) 2 (1.0025) 51 A = 0 b) Use the formula for the amount of an annuty to solve for the regular payment,. Method 1: Substtute and Then earrange A 5 [(1 )n 1] _ 0 5 [( )52 1] ( ) Sada should depost $72.13 b-weekly to have $0 n 2 years. Method 2: earrange and Then Substtute A 5 [(1 )n 1] A 5 [(1 ) n 1] 5 A (1 ) n 1 _ 0(0.0025) 5 ( ) Substtute the known values. Multply both sdes by Dvde both sdes by Multply both sdes by. Dvde both sdes by (1 + ) n 1. Substtute the known values. Sada should depost $72.13 every 2 weeks to have $0 n 2 years. 448 MH Functons 11 Chapter 7

6 Example 3 Determne the Interest ate Olver plans to nvest $2000 quarterly for 5 years. Hs fnancal advsor nforms hm that hs nvestment wll grow to $ after the 5 years. What annual rate of nterest, compounded quarterly, s Olver s annuty earnng? Soluton Lst the known nformaton for ths ordnary smple annuty. A n Payments are made 4 tmes a year for 5 years. Substtute the known values nto the equaton for the amount of an annuty and solve for. _ [(1 )20 1] Ths equaton s dffcult to solve usng standard algebrac technques. A method of systematc tral could be used, but t would be tme-consumng. Method 1: Apply Graphcal Analyss Graph each sde of the equaton [(1 _ )20 1] as a separate functon usng a graphng calculator, and use the Intersect operaton. The pont of ntersecton s ( , ), whch means that the account wll grow to $ at the end of the annuty when the nterest rate per compoundng perod s , or 1.375%. To determne the annual nterest rate, multply by the number of compoundng perods per year % % Olver s annuty s earnng nterest at a rate of 5.5%, compounded quarterly. 7.4 Annutes MH 449

7 Method 2: Use a TVM Solver Access the TVM Solver on a graphng calculator and enter the values, as shown. Move the cursor to the I% feld and press ALPHA [SOLVE]. ecall that I% represents the annual nterest rate, as a percent. Olver s annuty s earnng nterest at a rate of 5.5%, compounded quarterly. Method 3: Use a TI-Nspre CAS Graphng Calculator Use the solve functon of the TI-Nspre CAS graphng calculator to solve for the nterest rate. From the home screen, select 6:New Document.Then, select 1:Add Calculator. Press b. Select 3:Algebra, and then select 1:Solve. Type the equaton, and then press, I. The nterest rate per compoundng perod s , or 1.375%. To determne the annual nterest rate, multply by the number of compoundng perods per year % % Therefore, Olver s annuty s earnng nterest at a rate of 5.5%, compounded quarterly. Example 4 Vary the Condtons of an Annuty Felca plans to nvest $2600 at 6% per year, compounded annually, for the next 15 years. Compare the effects on the fnal amount f the deposts are made and compoundng perods are annual quarterly monthly weekly 450 MH Functons 11 Chapter 7

8 Soluton Method 1: Use a Graphng Calculator Use a table to organze the values of the varables needed to use the formula for the amount of an annuty A 5 [(1 )n 1]. Note that the regular payment,, must be dvded by the number of payments per year n each scenaro. Compoundng Perod n annual quarterly monthly weekly Calculate the amount for the frst scenaro, annual compoundng, usng a graphng calculator. Felca wll have $ at the end of 15 years f nterest s compounded annually. epeat the calculaton for the other scenaros. Press 2nd [ENTY] to recall the prevous calculaton. Use the cursor keys, the DEL key, and the INS key to modfy the equaton to ft each scenaro. Press ENTE to perform the new calculaton. Technology Tp Press CLEA to start each calculaton wth a new wndow screen. The results of these calculatons are summarzed n the table. Compoundng Perod Amount ($) annual quarterly monthly weekly The amount of the annuty ncreases as the compoundng nterval becomes more frequent. The dfference between weekly and annual compoundng s $ $ , or $ Annutes MH 451

9 Method 2: Use a Spreadsheet Set up a table n a spreadsheet. Te c h n o l o g y Tp To enter a mathematcal expresson n a cell n Mcrosoft Excel, clck on the equal sgn and type the expresson. Connectons Some of the amounts are slghtly dfferent n Method 1 and Method 2. Ths s due to roundng n the calculaton entry steps. Dscrepances such as ths become ncreasngly mportant when large sums of money are nvolved. In general, roundng errors can be avoded or mnmzed by leavng ratonal values n fracton form or carryng addtonal decmal places n the calculaton process. Type the headngs C/Y (compoundng perods per year), n (number of compoundng perods or payments), (nterest rate per compoundng perod), (regular payment), and A (amount). Enter the values 1, 4, 12, and 52 n the C/Y column, to represent the number of compoundng perods n each scenaro. Enter the formulas, startng n cell B2 and workng to the rght: B2 5A2*15 n = 15 number of payments per year = 0.06 number of payments per year C /A2 = $2600 number of payments per year D /A2 E2 5(D2*((1 C2)^B2-1))/C2 Calculate the amount usng the formula A = [(1 + )n 1 _. Use Fll Down to evaluate the remanng calculatons. The results of these calculatons are summarzed n the table. Compoundng Perod Amount ($) annual quarterly monthly weekly The amount of the annuty ncreases as the compoundng nterval becomes more frequent. The dfference between weekly and annual compoundng s $ $ , or $ Key Concepts An annuty s an nvestment n whch regular payments are deposted nto an account. An ordnary smple annuty s one n whch payments are made at the end of every payment perod and nterest s compounded at the end of the same payment perod. [(1 )n 1], where represents the regular payment; represents the nterest rate per compoundng perod, as a decmal; and n represents the number of compoundng perods. The amount, A, of an annuty can be calculated usng the formula A MH Functons 11 Chapter 7 Functons 11 CH07.ndd 452 6/10/09 4:24:21 PM

10 Communcate Your Understandng C1 The tme lne shows an annuty wth an annual nterest rate of 8%. a) How often s nterest compounded? How can you tell? b) What s the duraton of the annuty? How can you tell? c) Explan why ths annuty can be represented as a geometrc seres. d) Identfy the frst term, a, and the common rato, r, of the geometrc seres. Now 1 Compoundng Perods (1.04) 1 (1.04) 2 (1.04) 3 (1.04) 4 (1.04) 5 C2 The graphng calculator screen of a soluton usng the TVM Solver s shown. a) What s the duraton of the annuty? How can you tell? b) Why s the payment value negatve? c) Why s the future value postve? A Practse For help wth questons 1 to 3, refer to Example Calculate the amount of the annuty shown n the tme lne. Now 1 Compoundng Perods To help her granddaughter wth unversty costs, Sasha s grandmother puts $250 nto an account that earns 4.5% per year, compounded annually, at the end of every year for 6 years. a) Draw a tme lne to represent ths annuty. b) Determne the amount of the annuty. c) How much nterest was earned? (1.04) 1 (1.04) 2 (1.04) 3 (1.04) 4 (1.04) 5 3. At the end of every week, for 2 years, Carlo puts $35 nto an account that earns 5.2% per year, compounded weekly. epresentng Connectng easonng and Provng Problem Solvng Communcatng a) Draw a tme lne to represent ths annuty. b) Determne the amount of the annuty. c) How much nterest was earned? For help wth questons 4 and 5, refer to Example 2. Selectng Tools eflectng 4. How much must be nvested at the end of each year, for 4 years, to acheve an amount of $10 000, f nterest s earned at a rate of 6.25% per year, compounded annually? 5. Lucy wants to have $ n her account 3 years from now to buy a car. How much must she nvest per month, f her account earns 7.2% annual nterest, compounded monthly? 7.4 Annutes MH 453

11 B Connect and Apply For help wth questons 6 and 7, refer to Example Donna nvests $75 every 2 weeks n an account that earns compound nterest b-weekly. If she does ths for 7 years, she wll end up wth $ n the account. a) How much total nterest wll have been earned? b) Determne the annual rate of nterest, compounded b-weekly. 7. efer to queston 6. By how much must the nterest rate be ncreased for the amount to grow to $ after 7 years? For help wth questons 8 to 10, refer to Example 4. Use the followng nformaton. Maurce s plannng to depost $160 per month nto an account that earns 4.8% annual nterest, compounded monthly, for 15 years. 8. a) Determne the amount n the account at the end of ths annuty. b) How much nterest wll have been earned? 9. Maurce s fnancal advsor suggests that he would mprove the value of hs annuty f he changed hs payments to $40 per week, at the same nterest rate, compounded weekly. Do you agree or dsagree wth the fnancal advsor? Justfy your response wth mathematcal reasonng. 10. A competng bank offers Maurce epresentng 5% per annum, Problem Solvng compounded Connectng monthly, for hs monthly deposts of Communcatng $160. Whch opton should Maurce choose? Justfy your answer wth mathematcal reasonng. easonng and Provng Selectng Tools eflectng Stck wth hs current arrangement. Follow hs fnancal advsor s suggeston about ncreasng the frequency of hs deposts. Swtch to the competng bank. 11. Lee would lke to retre at age 60 and s consderng two nvestment optons: Opton A: Invest $500 per month begnnng at age 20. Opton B: Invest $1000 per month begnnng at age 40. In both cases, the nterest s 6% per annum, compounded monthly. Whch opton pays more nterest, and by how much? 12. Pnder wants to be a mllonare before he retres. He plans to save a certan amount every week for 40 years. a) If he puts money n an nvestment that earns 7% annual nterest, compounded weekly, what amount must Pnder depost weekly? b) What other strateges could Pnder use to acheve hs goal? Dscuss any assumptons you must make. C Extend 13. Use Technology Use a graphng calculator or graphng software. a) Graph the functon A 5 100(1.05n 1) Descrbe the shape of the graph. b) Interpret ths functon, assumng that t s related to the amount of an annuty. c) Assumng that nterest s compounded annually, dentfy the regular payment and the annual nterest rate. d) Pose and solve two problems related to ths functon. 454 MH Functons 11 Chapter 7

12 14. In queston 13, the functon A5 100(1.05 1) n 0.05 of an annuty. represents the amount a) Wrte a functon to descrbe the total prncpal nvested after n compoundng perods. b) Graph the amount and the prncpal functons on the same set of axes. Descrbe the shape of the prncpal functon. c) Descrbe how the graphs of these two functons represent the nterest earned over tme. Wrte a functon to represent the nterest earned after n compoundng perods. 15. Math Contest Bethany starts nvestng $300 per month at 6% per annum, compounded monthly, for 5 years. After 3 years, the nterest ncreases to 9% per annum, compounded monthly. Determne the amount of her nvestment after 5 years. A $ B $ C $ D $ Math Contest In ABC, a 5 10 mm, b 5 26 mm, and c 5 24 mm. If D s the mdpont of AC and BC s extended to E such that DE 5 24 mm, determne the measure of CED wthout usng a calculator. A 30 B 60 C 45 D Math Contest Gven that a2 (a b) and a and b are whole numbers, determne all possble ordered pars (a, b) that solve ths equaton. 18. Math Contest Gven x2 y , (2)(3)(5)(7)(11) 1, and x y 0, where x and y are ntegers, whch of the followng s true? A only x s dvsble by 11 B only y s dvsble by 11 C both are dvsble by 11 D nether s dvsble by 11 Career Connecton Felcty s an nvestment trader for a large frm n Toronto. She uses her company s money to buy and sell stocks, bonds, and shares to make a proft. Because the stock market s so volatle, Felcty must always have access to the newest nformaton from around the world. Success n her job depends on the use of computers that can perform fast mathematcal calculatons. Watng too long to make a trade could cost her company a lot of money. Felcty traned for her career by takng a 4-year bachelor of admnstratve studes degree at York Unversty. 7.4 Annutes MH 455 Functons 11 CH07.ndd 455 6/10/09 4:24:27 PM

Lecture Note 2 Time Value of Money

Lecture Note 2 Time Value of Money Seg250 Management Prncples for Engneerng Managers Lecture ote 2 Tme Value of Money Department of Systems Engneerng and Engneerng Management The Chnese Unversty of Hong Kong Interest: The Cost of Money

More information

Understanding Annuities. Some Algebraic Terminology.

Understanding Annuities. Some Algebraic Terminology. Understandng Annutes Ma 162 Sprng 2010 Ma 162 Sprng 2010 March 22, 2010 Some Algebrac Termnology We recall some terms and calculatons from elementary algebra A fnte sequence of numbers s a functon of natural

More information

Financial mathematics

Financial mathematics Fnancal mathematcs Jean-Luc Bouchot jean-luc.bouchot@drexel.edu February 19, 2013 Warnng Ths s a work n progress. I can not ensure t to be mstake free at the moment. It s also lackng some nformaton. But

More information

Finance 402: Problem Set 1 Solutions

Finance 402: Problem Set 1 Solutions Fnance 402: Problem Set 1 Solutons Note: Where approprate, the fnal answer for each problem s gven n bold talcs for those not nterested n the dscusson of the soluton. 1. The annual coupon rate s 6%. A

More information

STUDY GUIDE FOR TOPIC 1: FUNDAMENTAL CONCEPTS OF FINANCIAL MATHEMATICS. Learning objectives

STUDY GUIDE FOR TOPIC 1: FUNDAMENTAL CONCEPTS OF FINANCIAL MATHEMATICS. Learning objectives Study Gude for Topc 1 1 STUDY GUIDE FOR TOPIC 1: FUNDAMENTAL CONCEPTS OF FINANCIAL MATHEMATICS Learnng objectves After studyng ths topc you should be able to: apprecate the ever-changng envronment n whch

More information

Mathematical Thinking Exam 1 09 October 2017

Mathematical Thinking Exam 1 09 October 2017 Mathematcal Thnkng Exam 1 09 October 2017 Name: Instructons: Be sure to read each problem s drectons. Wrte clearly durng the exam and fully erase or mark out anythng you do not want graded. You may use

More information

Finite Math - Fall Section Future Value of an Annuity; Sinking Funds

Finite Math - Fall Section Future Value of an Annuity; Sinking Funds Fnte Math - Fall 2016 Lecture Notes - 9/19/2016 Secton 3.3 - Future Value of an Annuty; Snkng Funds Snkng Funds. We can turn the annutes pcture around and ask how much we would need to depost nto an account

More information

Final Examination MATH NOTE TO PRINTER

Final Examination MATH NOTE TO PRINTER Fnal Examnaton MATH 329 2005 01 1 NOTE TO PRINTER (These nstructons are for the prnter. They should not be duplcated.) Ths examnaton should be prnted on 8 1 2 14 paper, and stapled wth 3 sde staples, so

More information

An annuity is a series of payments made at equal intervals. There are many practical examples of financial transactions involving annuities, such as

An annuity is a series of payments made at equal intervals. There are many practical examples of financial transactions involving annuities, such as 2 Annutes An annuty s a seres of payments made at equal ntervals. There are many practcal examples of fnancal transactons nvolvng annutes, such as a car loan beng repad wth equal monthly nstallments a

More information

Hewlett Packard 10BII Calculator

Hewlett Packard 10BII Calculator Hewlett Packard 0BII Calculator Keystrokes for the HP 0BII are shown n the tet. However, takng a mnute to revew the Quk Start secton, below, wll be very helpful n gettng started wth your calculator. Note:

More information

2. Compute Compound Interest

2. Compute Compound Interest The Mathematcs of Fnance Careers and Mathematcs 9 In ths chapter, we wll dscuss the mathematcs of finance the rules that govern nvestng and borrowng money. 9.1 Interest Actuary Actuares use ther broad knowledge

More information

A Php 5,000 loan is being repaid in 10 yearly payments. If interest is 8% effective, find the annual payment. 1 ( ) 10) 0.

A Php 5,000 loan is being repaid in 10 yearly payments. If interest is 8% effective, find the annual payment. 1 ( ) 10) 0. Amortzaton If a loan s repad on nstalment (whch s usually n equal amounts); then the loan s sad to be repad by the amortzaton method. Under ths method, each nstalment ncludes the repayment of prncpal and

More information

SOCIETY OF ACTUARIES FINANCIAL MATHEMATICS. EXAM FM SAMPLE SOLUTIONS Interest Theory

SOCIETY OF ACTUARIES FINANCIAL MATHEMATICS. EXAM FM SAMPLE SOLUTIONS Interest Theory SOCIETY OF ACTUARIES EXAM FM FINANCIAL MATHEMATICS EXAM FM SAMPLE SOLUTIONS Interest Theory Ths page ndcates changes made to Study Note FM-09-05. January 14, 014: Questons and solutons 58 60 were added.

More information

Finite Mathematics for Business Economics Life Sciences Social Sciences Barnett Ziegler Byleen Twelfth Edition

Finite Mathematics for Business Economics Life Sciences Social Sciences Barnett Ziegler Byleen Twelfth Edition Fnte Mathematcs for Busness Economcs Lfe Scences Socal Scences Barnett Zegler Byleen Twelfth Edton Pearson Educaton Lmted Ednburgh Gate Harlow Essex CM20 2JE England and Assocated Companes throughout the

More information

YORK UNIVERSITY Faculty of Science Department of Mathematics and Statistics MATH A Test #2 November 03, 2014

YORK UNIVERSITY Faculty of Science Department of Mathematics and Statistics MATH A Test #2 November 03, 2014 Famly Name prnt): YORK UNIVERSITY Faculty of Scence Department of Mathematcs and Statstcs MATH 2280.00 A Test #2 November 0, 2014 Solutons Gven Name: Student No: Sgnature: INSTRUCTIONS: 1. Please wrte

More information

Survey of Math Test #3 Practice Questions Page 1 of 5

Survey of Math Test #3 Practice Questions Page 1 of 5 Test #3 Practce Questons Page 1 of 5 You wll be able to use a calculator, and wll have to use one to answer some questons. Informaton Provded on Test: Smple Interest: Compound Interest: Deprecaton: A =

More information

Time Value of Money, Part 2 Future Value aueof a $1 (Single Sum) Learning Outcomes. Future Value

Time Value of Money, Part 2 Future Value aueof a $1 (Single Sum) Learning Outcomes. Future Value Tme Value of Money, Part 2 Future Value aueof a $1 (Sngle Sum) Intermedate Accountng I Dr. Chula Kng 1 Learnng Outcomes The concept of future value Future value of a sngle sum How to set up the problem

More information

Money, Banking, and Financial Markets (Econ 353) Midterm Examination I June 27, Name Univ. Id #

Money, Banking, and Financial Markets (Econ 353) Midterm Examination I June 27, Name Univ. Id # Money, Bankng, and Fnancal Markets (Econ 353) Mdterm Examnaton I June 27, 2005 Name Unv. Id # Note: Each multple-choce queston s worth 4 ponts. Problems 20, 21, and 22 carry 10, 8, and 10 ponts, respectvely.

More information

FROM THE ANSWER SERIES

FROM THE ANSWER SERIES FINNCIL MTHS QUESTIONS & NSWERS 1 FROM THE NSWER SERIES publshed by : The nswer 210 Man Road CLREMONT 7708 Cape Town tel: (021) 671 0837 fa: (021) 671 256 e-mal: nfo@theanswerseres.co.za www.theanswerseres.co.za

More information

Survey of Math: Chapter 22: Consumer Finance Borrowing Page 1

Survey of Math: Chapter 22: Consumer Finance Borrowing Page 1 Survey of Math: Chapter 22: Consumer Fnance Borrowng Page 1 APR and EAR Borrowng s savng looked at from a dfferent perspectve. The dea of smple nterest and compound nterest stll apply. A new term s the

More information

Dept of Mathematics and Statistics King Fahd University of Petroleum & Minerals

Dept of Mathematics and Statistics King Fahd University of Petroleum & Minerals Dept of Mathematcs and Statstcs Kng Fahd Unversty of Petroleum & Mnerals AS201: Fnancal Mathematcs Dr. Mohammad H. Omar Major Exam 2 FORM B Soluton Aprl 16 2012 6.30pm-8.00pm Name ID#: Seral #: Instructons.

More information

Dept of Mathematics and Statistics King Fahd University of Petroleum & Minerals

Dept of Mathematics and Statistics King Fahd University of Petroleum & Minerals Dept of Mathematcs and Statstcs Kng Fahd Unversty of Petroleum & Mnerals AS201: Fnancal Mathematcs Dr. Mohammad H. Omar Major Exam 2 FORM B Soluton November 27 2012 6.30pm-8.00pm Name ID#: Seral #: Instructons.

More information

IND E 250 Final Exam Solutions June 8, Section A. Multiple choice and simple computation. [5 points each] (Version A)

IND E 250 Final Exam Solutions June 8, Section A. Multiple choice and simple computation. [5 points each] (Version A) IND E 20 Fnal Exam Solutons June 8, 2006 Secton A. Multple choce and smple computaton. [ ponts each] (Verson A) (-) Four ndependent projects, each wth rsk free cash flows, have the followng B/C ratos:

More information

OCR Statistics 1 Working with data. Section 2: Measures of location

OCR Statistics 1 Working with data. Section 2: Measures of location OCR Statstcs 1 Workng wth data Secton 2: Measures of locaton Notes and Examples These notes have sub-sectons on: The medan Estmatng the medan from grouped data The mean Estmatng the mean from grouped data

More information

Tests for Two Ordered Categorical Variables

Tests for Two Ordered Categorical Variables Chapter 253 Tests for Two Ordered Categorcal Varables Introducton Ths module computes power and sample sze for tests of ordered categorcal data such as Lkert scale data. Assumng proportonal odds, such

More information

Tests for Two Correlations

Tests for Two Correlations PASS Sample Sze Software Chapter 805 Tests for Two Correlatons Introducton The correlaton coeffcent (or correlaton), ρ, s a popular parameter for descrbng the strength of the assocaton between two varables.

More information

Problem Set 6 Finance 1,

Problem Set 6 Finance 1, Carnege Mellon Unversty Graduate School of Industral Admnstraton Chrs Telmer Wnter 2006 Problem Set 6 Fnance, 47-720. (representatve agent constructon) Consder the followng two-perod, two-agent economy.

More information

Learning Objectives. The Economic Justification of Telecommunications Projects. Describe these concepts

Learning Objectives. The Economic Justification of Telecommunications Projects. Describe these concepts Copyrght 200 Martn B.H. Wess Lecture otes The Economc Justfcaton of Telecommuncatons Projects Martn B.H. Wess Telecommuncatons Program Unversty of Pttsburgh Learnng Objectves Descrbe these concepts Present

More information

Elements of Economic Analysis II Lecture VI: Industry Supply

Elements of Economic Analysis II Lecture VI: Industry Supply Elements of Economc Analyss II Lecture VI: Industry Supply Ka Hao Yang 10/12/2017 In the prevous lecture, we analyzed the frm s supply decson usng a set of smple graphcal analyses. In fact, the dscusson

More information

iii) pay F P 0,T = S 0 e δt when stock has dividend yield δ.

iii) pay F P 0,T = S 0 e δt when stock has dividend yield δ. Fnal s Wed May 7, 12:50-2:50 You are allowed 15 sheets of notes and a calculator The fnal s cumulatve, so you should know everythng on the frst 4 revews Ths materal not on those revews 184) Suppose S t

More information

In calculator: PV 4000 I/Y= N=12 PMT=348.13

In calculator: PV 4000 I/Y= N=12 PMT=348.13 MATH 373 Test 1 Sprng 016 February 16, 016 1. Courtney borrows 4000 to buy new sk equpment. She wll repay the loan wth level monthly payments over the next months. The loan has an annual effectve nterest

More information

Evaluating Performance

Evaluating Performance 5 Chapter Evaluatng Performance In Ths Chapter Dollar-Weghted Rate of Return Tme-Weghted Rate of Return Income Rate of Return Prncpal Rate of Return Daly Returns MPT Statstcs 5- Measurng Rates of Return

More information

Actuarial Science: Financial Mathematics

Actuarial Science: Financial Mathematics STAT 485 Actuaral Scence: Fnancal Mathematcs 1.1.1 Effectve Rates of Interest Defnton Defnton lender. An nterest s money earned by deposted funds. An nterest rate s the rate at whch nterest s pad to the

More information

CHAPTER 1: MATHEMATICS OF INVESTMENT

CHAPTER 1: MATHEMATICS OF INVESTMENT Why do you need to know nvestments, bonds, stocks, nterests? Why s there a need to nvest your hard earned money? Whether you just want to save for that phone or tablet that you wanted to buy; or you re

More information

2) In the medium-run/long-run, a decrease in the budget deficit will produce:

2) In the medium-run/long-run, a decrease in the budget deficit will produce: 4.02 Quz 2 Solutons Fall 2004 Multple-Choce Questons ) Consder the wage-settng and prce-settng equatons we studed n class. Suppose the markup, µ, equals 0.25, and F(u,z) = -u. What s the natural rate of

More information

/ Computational Genomics. Normalization

/ Computational Genomics. Normalization 0-80 /02-70 Computatonal Genomcs Normalzaton Gene Expresson Analyss Model Computatonal nformaton fuson Bologcal regulatory networks Pattern Recognton Data Analyss clusterng, classfcaton normalzaton, mss.

More information

A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME

A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME Vesna Radonć Đogatovć, Valentna Radočć Unversty of Belgrade Faculty of Transport and Traffc Engneerng Belgrade, Serba

More information

Final Exam. 7. (10 points) Please state whether each of the following statements is true or false. No explanation needed.

Final Exam. 7. (10 points) Please state whether each of the following statements is true or false. No explanation needed. Fnal Exam Fall 4 Econ 8-67 Closed Book. Formula Sheet Provded. Calculators OK. Tme Allowed: hours Please wrte your answers on the page below each queston. (5 ponts) Assume that the rsk-free nterest rate

More information

Chapter 5 Bonds, Bond Prices and the Determination of Interest Rates

Chapter 5 Bonds, Bond Prices and the Determination of Interest Rates Chapter 5 Bonds, Bond Prces and the Determnaton of Interest Rates Problems and Solutons 1. Consder a U.S. Treasury Bll wth 270 days to maturty. If the annual yeld s 3.8 percent, what s the prce? $100 P

More information

Solution of periodic review inventory model with general constrains

Solution of periodic review inventory model with general constrains Soluton of perodc revew nventory model wth general constrans Soluton of perodc revew nventory model wth general constrans Prof Dr J Benkő SZIU Gödöllő Summary Reasons for presence of nventory (stock of

More information

ECE 586GT: Problem Set 2: Problems and Solutions Uniqueness of Nash equilibria, zero sum games, evolutionary dynamics

ECE 586GT: Problem Set 2: Problems and Solutions Uniqueness of Nash equilibria, zero sum games, evolutionary dynamics Unversty of Illnos Fall 08 ECE 586GT: Problem Set : Problems and Solutons Unqueness of Nash equlbra, zero sum games, evolutonary dynamcs Due: Tuesday, Sept. 5, at begnnng of class Readng: Course notes,

More information

Midterm Exam. Use the end of month price data for the S&P 500 index in the table below to answer the following questions.

Midterm Exam. Use the end of month price data for the S&P 500 index in the table below to answer the following questions. Unversty of Washngton Summer 2001 Department of Economcs Erc Zvot Economcs 483 Mdterm Exam Ths s a closed book and closed note exam. However, you are allowed one page of handwrtten notes. Answer all questons

More information

FM303. CHAPTERS COVERED : CHAPTERS 5, 8 and 9. LEARNER GUIDE : UNITS 1, 2 and 3.1 to 3.3. DUE DATE : 3:00 p.m. 19 MARCH 2013

FM303. CHAPTERS COVERED : CHAPTERS 5, 8 and 9. LEARNER GUIDE : UNITS 1, 2 and 3.1 to 3.3. DUE DATE : 3:00 p.m. 19 MARCH 2013 Page 1 of 11 ASSIGNMENT 1 ST SEMESTER : FINANCIAL MANAGEMENT 3 () CHAPTERS COVERED : CHAPTERS 5, 8 and 9 LEARNER GUIDE : UNITS 1, 2 and 3.1 to 3.3 DUE DATE : 3:00 p.m. 19 MARCH 2013 TOTAL MARKS : 100 INSTRUCTIONS

More information

FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS. Richard M. Levich. New York University Stern School of Business. Revised, February 1999

FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS. Richard M. Levich. New York University Stern School of Business. Revised, February 1999 FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS by Rchard M. Levch New York Unversty Stern School of Busness Revsed, February 1999 1 SETTING UP THE PROBLEM The bond s beng sold to Swss nvestors for a prce

More information

4. Greek Letters, Value-at-Risk

4. Greek Letters, Value-at-Risk 4 Greek Letters, Value-at-Rsk 4 Value-at-Rsk (Hull s, Chapter 8) Math443 W08, HM Zhu Outlne (Hull, Chap 8) What s Value at Rsk (VaR)? Hstorcal smulatons Monte Carlo smulatons Model based approach Varance-covarance

More information

15-451/651: Design & Analysis of Algorithms January 22, 2019 Lecture #3: Amortized Analysis last changed: January 18, 2019

15-451/651: Design & Analysis of Algorithms January 22, 2019 Lecture #3: Amortized Analysis last changed: January 18, 2019 5-45/65: Desgn & Analyss of Algorthms January, 09 Lecture #3: Amortzed Analyss last changed: January 8, 09 Introducton In ths lecture we dscuss a useful form of analyss, called amortzed analyss, for problems

More information

UNIVERSITY OF VICTORIA Midterm June 6, 2018 Solutions

UNIVERSITY OF VICTORIA Midterm June 6, 2018 Solutions UIVERSITY OF VICTORIA Mdterm June 6, 08 Solutons Econ 45 Summer A0 08 age AME: STUDET UMBER: V00 Course ame & o. Descrptve Statstcs and robablty Economcs 45 Secton(s) A0 CR: 3067 Instructor: Betty Johnson

More information

GOODS AND FINANCIAL MARKETS: IS-LM MODEL SHORT RUN IN A CLOSED ECONOMIC SYSTEM

GOODS AND FINANCIAL MARKETS: IS-LM MODEL SHORT RUN IN A CLOSED ECONOMIC SYSTEM GOODS ND FINNCIL MRKETS: IS-LM MODEL SHORT RUN IN CLOSED ECONOMIC SSTEM THE GOOD MRKETS ND IS CURVE The Good markets assumpton: The producton s equal to the demand for goods Z; The demand s the sum of

More information

Elton, Gruber, Brown, and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 9

Elton, Gruber, Brown, and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 9 Elton, Gruber, Brown, and Goetzmann Modern Portfolo Theory and Investment Analyss, 7th Edton Solutons to Text Problems: Chapter 9 Chapter 9: Problem In the table below, gven that the rskless rate equals

More information

CS 286r: Matching and Market Design Lecture 2 Combinatorial Markets, Walrasian Equilibrium, Tâtonnement

CS 286r: Matching and Market Design Lecture 2 Combinatorial Markets, Walrasian Equilibrium, Tâtonnement CS 286r: Matchng and Market Desgn Lecture 2 Combnatoral Markets, Walrasan Equlbrum, Tâtonnement Matchng and Money Recall: Last tme we descrbed the Hungaran Method for computng a maxmumweght bpartte matchng.

More information

Which of the following provides the most reasonable approximation to the least squares regression line? (a) y=50+10x (b) Y=50+x (d) Y=1+50x

Which of the following provides the most reasonable approximation to the least squares regression line? (a) y=50+10x (b) Y=50+x (d) Y=1+50x Whch of the followng provdes the most reasonable approxmaton to the least squares regresson lne? (a) y=50+10x (b) Y=50+x (c) Y=10+50x (d) Y=1+50x (e) Y=10+x In smple lnear regresson the model that s begn

More information

Measures of Spread IQR and Deviation. For exam X, calculate the mean, median and mode. For exam Y, calculate the mean, median and mode.

Measures of Spread IQR and Deviation. For exam X, calculate the mean, median and mode. For exam Y, calculate the mean, median and mode. Part 4 Measures of Spread IQR and Devaton In Part we learned how the three measures of center offer dfferent ways of provdng us wth a sngle representatve value for a data set. However, consder the followng

More information

Answers to exercises in Macroeconomics by Nils Gottfries 2013

Answers to exercises in Macroeconomics by Nils Gottfries 2013 . a) C C b C C s the ntercept o the consumpton uncton, how much consumpton wll be at zero ncome. We can thnk that, at zero ncome, the typcal consumer would consume out o hs assets. The slope b s the margnal

More information

Ch Rival Pure private goods (most retail goods) Non-Rival Impure public goods (internet service)

Ch Rival Pure private goods (most retail goods) Non-Rival Impure public goods (internet service) h 7 1 Publc Goods o Rval goods: a good s rval f ts consumpton by one person precludes ts consumpton by another o Excludable goods: a good s excludable f you can reasonably prevent a person from consumng

More information

SIMPLE FIXED-POINT ITERATION

SIMPLE FIXED-POINT ITERATION SIMPLE FIXED-POINT ITERATION The fed-pont teraton method s an open root fndng method. The method starts wth the equaton f ( The equaton s then rearranged so that one s one the left hand sde of the equaton

More information

Creating a zero coupon curve by bootstrapping with cubic splines.

Creating a zero coupon curve by bootstrapping with cubic splines. MMA 708 Analytcal Fnance II Creatng a zero coupon curve by bootstrappng wth cubc splnes. erg Gryshkevych Professor: Jan R. M. Röman 0.2.200 Dvson of Appled Mathematcs chool of Educaton, Culture and Communcaton

More information

EDC Introduction

EDC Introduction .0 Introducton EDC3 In the last set of notes (EDC), we saw how to use penalty factors n solvng the EDC problem wth losses. In ths set of notes, we want to address two closely related ssues. What are, exactly,

More information

TCOM501 Networking: Theory & Fundamentals Final Examination Professor Yannis A. Korilis April 26, 2002

TCOM501 Networking: Theory & Fundamentals Final Examination Professor Yannis A. Korilis April 26, 2002 TO5 Networng: Theory & undamentals nal xamnaton Professor Yanns. orls prl, Problem [ ponts]: onsder a rng networ wth nodes,,,. In ths networ, a customer that completes servce at node exts the networ wth

More information

AC : THE DIAGRAMMATIC AND MATHEMATICAL APPROACH OF PROJECT TIME-COST TRADEOFFS

AC : THE DIAGRAMMATIC AND MATHEMATICAL APPROACH OF PROJECT TIME-COST TRADEOFFS AC 2008-1635: THE DIAGRAMMATIC AND MATHEMATICAL APPROACH OF PROJECT TIME-COST TRADEOFFS Kun-jung Hsu, Leader Unversty Amercan Socety for Engneerng Educaton, 2008 Page 13.1217.1 Ttle of the Paper: The Dagrammatc

More information

occurrence of a larger storm than our culvert or bridge is barely capable of handling? (what is The main question is: What is the possibility of

occurrence of a larger storm than our culvert or bridge is barely capable of handling? (what is The main question is: What is the possibility of Module 8: Probablty and Statstcal Methods n Water Resources Engneerng Bob Ptt Unversty of Alabama Tuscaloosa, AL Flow data are avalable from numerous USGS operated flow recordng statons. Data s usually

More information

Concepts: simple interest, compound interest, annual percentage yield, compounding continuously, mortgages

Concepts: simple interest, compound interest, annual percentage yield, compounding continuously, mortgages Precalculus: Matheatcs of Fnance Concepts: sple nterest, copound nterest, annual percentage yeld, copoundng contnuously, ortgages Note: These topcs are all dscussed n the text, but I a usng slghtly dfferent

More information

Stochastic ALM models - General Methodology

Stochastic ALM models - General Methodology Stochastc ALM models - General Methodology Stochastc ALM models are generally mplemented wthn separate modules: A stochastc scenaros generator (ESG) A cash-flow projecton tool (or ALM projecton) For projectng

More information

Consumption Based Asset Pricing

Consumption Based Asset Pricing Consumpton Based Asset Prcng Mchael Bar Aprl 25, 208 Contents Introducton 2 Model 2. Prcng rsk-free asset............................... 3 2.2 Prcng rsky assets................................ 4 2.3 Bubbles......................................

More information

MgtOp 215 Chapter 13 Dr. Ahn

MgtOp 215 Chapter 13 Dr. Ahn MgtOp 5 Chapter 3 Dr Ahn Consder two random varables X and Y wth,,, In order to study the relatonshp between the two random varables, we need a numercal measure that descrbes the relatonshp The covarance

More information

Linear Combinations of Random Variables and Sampling (100 points)

Linear Combinations of Random Variables and Sampling (100 points) Economcs 30330: Statstcs for Economcs Problem Set 6 Unversty of Notre Dame Instructor: Julo Garín Sprng 2012 Lnear Combnatons of Random Varables and Samplng 100 ponts 1. Four-part problem. Go get some

More information

332 Mathematical Induction Solutions for Chapter 14. for every positive integer n. Proof. We will prove this with mathematical induction.

332 Mathematical Induction Solutions for Chapter 14. for every positive integer n. Proof. We will prove this with mathematical induction. 33 Mathematcal Inducton. Solutons for Chapter. Prove that 3 n n n for every postve nteger n. Proof. We wll prove ths wth mathematcal nducton. Observe that f n, ths statement s, whch s obvously true. Consder

More information

II. Random Variables. Variable Types. Variables Map Outcomes to Numbers

II. Random Variables. Variable Types. Variables Map Outcomes to Numbers II. Random Varables Random varables operate n much the same way as the outcomes or events n some arbtrary sample space the dstncton s that random varables are smply outcomes that are represented numercally.

More information

Project Management Project Phases the S curve

Project Management Project Phases the S curve Project lfe cycle and resource usage Phases Project Management Project Phases the S curve Eng. Gorgo Locatell RATE OF RESOURCE ES Conceptual Defnton Realzaton Release TIME Cumulated resource usage and

More information

Teaching Note on Factor Model with a View --- A tutorial. This version: May 15, Prepared by Zhi Da *

Teaching Note on Factor Model with a View --- A tutorial. This version: May 15, Prepared by Zhi Da * Copyrght by Zh Da and Rav Jagannathan Teachng Note on For Model th a Ve --- A tutoral Ths verson: May 5, 2005 Prepared by Zh Da * Ths tutoral demonstrates ho to ncorporate economc ves n optmal asset allocaton

More information

Macroeconomic Theory and Policy

Macroeconomic Theory and Policy ECO 209 Macroeconomc Theory and Polcy Lecture 7: The Open Economy wth Fxed Exchange Rates Gustavo Indart Slde 1 Open Economy under Fxed Exchange Rates Let s consder an open economy wth no captal moblty

More information

OPERATIONS RESEARCH. Game Theory

OPERATIONS RESEARCH. Game Theory OPERATIONS RESEARCH Chapter 2 Game Theory Prof. Bbhas C. Gr Department of Mathematcs Jadavpur Unversty Kolkata, Inda Emal: bcgr.umath@gmal.com 1.0 Introducton Game theory was developed for decson makng

More information

Least Cost Strategies for Complying with New NOx Emissions Limits

Least Cost Strategies for Complying with New NOx Emissions Limits Least Cost Strateges for Complyng wth New NOx Emssons Lmts Internatonal Assocaton for Energy Economcs New England Chapter Presented by Assef A. Zoban Tabors Caramans & Assocates Cambrdge, MA 02138 January

More information

Problems to be discussed at the 5 th seminar Suggested solutions

Problems to be discussed at the 5 th seminar Suggested solutions ECON4260 Behavoral Economcs Problems to be dscussed at the 5 th semnar Suggested solutons Problem 1 a) Consder an ultmatum game n whch the proposer gets, ntally, 100 NOK. Assume that both the proposer

More information

Facility Location Problem. Learning objectives. Antti Salonen Farzaneh Ahmadzadeh

Facility Location Problem. Learning objectives. Antti Salonen Farzaneh Ahmadzadeh Antt Salonen Farzaneh Ahmadzadeh 1 Faclty Locaton Problem The study of faclty locaton problems, also known as locaton analyss, s a branch of operatons research concerned wth the optmal placement of facltes

More information

Macroeconomic Theory and Policy

Macroeconomic Theory and Policy ECO 209 Macroeconomc Theory and Polcy Lecture 7: The Open Economy wth Fxed Exchange Rates Gustavo Indart Slde 1 Open Economy under Fxed Exchange Rates Let s consder an open economy wth no captal moblty

More information

Fall 2017 Social Sciences 7418 University of Wisconsin-Madison Problem Set 3 Answers

Fall 2017 Social Sciences 7418 University of Wisconsin-Madison Problem Set 3 Answers ublc Affars 854 enze D. Chnn Fall 07 Socal Scences 748 Unversty of Wsconsn-adson roblem Set 3 Answers Due n Lecture on Wednesday, November st. " Box n" your answers to the algebrac questons.. Fscal polcy

More information

Investment Management Active Portfolio Management

Investment Management Active Portfolio Management Investment Management Actve Portfolo Management Road Map The Effcent Markets Hypothess (EMH) and beatng the market Actve portfolo management Market tmng Securty selecton Securty selecton: Treynor&Black

More information

Understanding price volatility in electricity markets

Understanding price volatility in electricity markets Proceedngs of the 33rd Hawa Internatonal Conference on System Scences - 2 Understandng prce volatlty n electrcty markets Fernando L. Alvarado, The Unversty of Wsconsn Rajesh Rajaraman, Chrstensen Assocates

More information

Quiz on Deterministic part of course October 22, 2002

Quiz on Deterministic part of course October 22, 2002 Engneerng ystems Analyss for Desgn Quz on Determnstc part of course October 22, 2002 Ths s a closed book exercse. You may use calculators Grade Tables There are 90 ponts possble for the regular test, or

More information

Applications of Myerson s Lemma

Applications of Myerson s Lemma Applcatons of Myerson s Lemma Professor Greenwald 28-2-7 We apply Myerson s lemma to solve the sngle-good aucton, and the generalzaton n whch there are k dentcal copes of the good. Our objectve s welfare

More information

MATH 373 Quiz 3 Fall 2017 October 12, 2017

MATH 373 Quiz 3 Fall 2017 October 12, 2017 MATH 373 Quz 3 Fall 2017 October, 2017 1. Alex wants to nvest for hs retrement. Today s hs 22 nd brthday. He wll make a payment of 10,000 on each brthday begnnng wth hs 30 th brthday. Hs last payment wll

More information

ECONOMETRICS - FINAL EXAM, 3rd YEAR (GECO & GADE)

ECONOMETRICS - FINAL EXAM, 3rd YEAR (GECO & GADE) ECONOMETRICS - FINAL EXAM, 3rd YEAR (GECO & GADE) May 17, 2016 15:30 Frst famly name: Name: DNI/ID: Moble: Second famly Name: GECO/GADE: Instructor: E-mal: Queston 1 A B C Blank Queston 2 A B C Blank Queston

More information

University of Toronto November 9, 2006 ECO 209Y MACROECONOMIC THEORY. Term Test #1 L0101 L0201 L0401 L5101 MW MW 1-2 MW 2-3 W 6-8

University of Toronto November 9, 2006 ECO 209Y MACROECONOMIC THEORY. Term Test #1 L0101 L0201 L0401 L5101 MW MW 1-2 MW 2-3 W 6-8 Department of Economcs Prof. Gustavo Indart Unversty of Toronto November 9, 2006 SOLUTION ECO 209Y MACROECONOMIC THEORY Term Test #1 A LAST NAME FIRST NAME STUDENT NUMBER Crcle your secton of the course:

More information

University of Toronto November 9, 2006 ECO 209Y MACROECONOMIC THEORY. Term Test #1 L0101 L0201 L0401 L5101 MW MW 1-2 MW 2-3 W 6-8

University of Toronto November 9, 2006 ECO 209Y MACROECONOMIC THEORY. Term Test #1 L0101 L0201 L0401 L5101 MW MW 1-2 MW 2-3 W 6-8 Department of Economcs Prof. Gustavo Indart Unversty of Toronto November 9, 2006 SOLUTION ECO 209Y MACROECONOMIC THEORY Term Test #1 C LAST NAME FIRST NAME STUDENT NUMBER Crcle your secton of the course:

More information

Price and Quantity Competition Revisited. Abstract

Price and Quantity Competition Revisited. Abstract rce and uantty Competton Revsted X. Henry Wang Unversty of Mssour - Columba Abstract By enlargng the parameter space orgnally consdered by Sngh and Vves (984 to allow for a wder range of cost asymmetry,

More information

Chapter 11: Optimal Portfolio Choice and the Capital Asset Pricing Model

Chapter 11: Optimal Portfolio Choice and the Capital Asset Pricing Model Chapter 11: Optmal Portolo Choce and the CAPM-1 Chapter 11: Optmal Portolo Choce and the Captal Asset Prcng Model Goal: determne the relatonshp between rsk and return key to ths process: examne how nvestors

More information

02_EBA2eSolutionsChapter2.pdf 02_EBA2e Case Soln Chapter2.pdf

02_EBA2eSolutionsChapter2.pdf 02_EBA2e Case Soln Chapter2.pdf 0_EBAeSolutonsChapter.pdf 0_EBAe Case Soln Chapter.pdf Chapter Solutons: 1. a. Quanttatve b. Categorcal c. Categorcal d. Quanttatve e. Categorcal. a. The top 10 countres accordng to GDP are lsted below.

More information

Members not eligible for this option

Members not eligible for this option DC - Lump sum optons R6.2 Uncrystallsed funds penson lump sum An uncrystallsed funds penson lump sum, known as a UFPLS (also called a FLUMP), s a way of takng your penson pot wthout takng money from a

More information

Problem Set #4 Solutions

Problem Set #4 Solutions 4.0 Sprng 00 Page Problem Set #4 Solutons Problem : a) The extensve form of the game s as follows: (,) Inc. (-,-) Entrant (0,0) Inc (5,0) Usng backwards nducton, the ncumbent wll always set hgh prces,

More information

EXAMINATIONS OF THE HONG KONG STATISTICAL SOCIETY

EXAMINATIONS OF THE HONG KONG STATISTICAL SOCIETY EXAMINATIONS OF THE HONG KONG STATISTICAL SOCIETY HIGHER CERTIFICATE IN STATISTICS, 2013 MODULE 7 : Tme seres and ndex numbers Tme allowed: One and a half hours Canddates should answer THREE questons.

More information

Pivot Points for CQG - Overview

Pivot Points for CQG - Overview Pvot Ponts for CQG - Overvew By Bran Bell Introducton Pvot ponts are a well-known technque used by floor traders to calculate ntraday support and resstance levels. Ths technque has been around for decades,

More information

Principles of Finance

Principles of Finance Prncples of Fnance Grzegorz Trojanowsk Lecture 6: Captal Asset Prcng Model Prncples of Fnance - Lecture 6 1 Lecture 6 materal Requred readng: Elton et al., Chapters 13, 14, and 15 Supplementary readng:

More information

S yi a bx i cx yi a bx i cx 2 i =0. yi a bx i cx 2 i xi =0. yi a bx i cx 2 i x

S yi a bx i cx yi a bx i cx 2 i =0. yi a bx i cx 2 i xi =0. yi a bx i cx 2 i x LEAST-SQUARES FIT (Chapter 8) Ft the best straght lne (parabola, etc.) to a gven set of ponts. Ths wll be done by mnmzng the sum of squares of the vertcal dstances (called resduals) from the ponts to the

More information

MULTIPLE CURVE CONSTRUCTION

MULTIPLE CURVE CONSTRUCTION MULTIPLE CURVE CONSTRUCTION RICHARD WHITE 1. Introducton In the post-credt-crunch world, swaps are generally collateralzed under a ISDA Master Agreement Andersen and Pterbarg p266, wth collateral rates

More information

Economic Design of Short-Run CSP-1 Plan Under Linear Inspection Cost

Economic Design of Short-Run CSP-1 Plan Under Linear Inspection Cost Tamkang Journal of Scence and Engneerng, Vol. 9, No 1, pp. 19 23 (2006) 19 Economc Desgn of Short-Run CSP-1 Plan Under Lnear Inspecton Cost Chung-Ho Chen 1 * and Chao-Yu Chou 2 1 Department of Industral

More information

Numerical Analysis ECIV 3306 Chapter 6

Numerical Analysis ECIV 3306 Chapter 6 The Islamc Unversty o Gaza Faculty o Engneerng Cvl Engneerng Department Numercal Analyss ECIV 3306 Chapter 6 Open Methods & System o Non-lnear Eqs Assocate Pro. Mazen Abualtaye Cvl Engneerng Department,

More information

Incoming Account Transfer/Exchange/ Direct Rollover (Qualified Accounts Only) for Ameriprise certificates and Riversource annuities.

Incoming Account Transfer/Exchange/ Direct Rollover (Qualified Accounts Only) for Ameriprise certificates and Riversource annuities. CED0105200808 Amerprse Fnancal Servces, Inc. 70400 Amerprse Fnancal Center Mnneapols, MN 55474 Incomng Account Transfer/Exchange/ Drect Rollover (Qualfed Accounts Only) for Amerprse certfcates and Rversource

More information

The Optimal Interval Partition and Second-Factor Fuzzy Set B i on the Impacts of Fuzzy Time Series Forecasting

The Optimal Interval Partition and Second-Factor Fuzzy Set B i on the Impacts of Fuzzy Time Series Forecasting Ch-Chen Wang, Yueh-Ju Ln, Yu-Ren Zhang, Hsen-Lun Wong The Optmal Interval Partton and Second-Factor Fuzzy Set B on the Impacts of Fuzzy Tme Seres Forecastng CHI-CHEN WANG 1 1 Department of Fnancal Management,

More information

Simple Regression Theory II 2010 Samuel L. Baker

Simple Regression Theory II 2010 Samuel L. Baker SIMPLE REGRESSIO THEORY II Smple Regresson Theory II 00 Samuel L. Baker Assessng how good the regresson equaton s lkely to be Assgnment A gets nto drawng nferences about how close the regresson lne mght

More information

Chapter 3 Student Lecture Notes 3-1

Chapter 3 Student Lecture Notes 3-1 Chapter 3 Student Lecture otes 3-1 Busness Statstcs: A Decson-Makng Approach 6 th Edton Chapter 3 Descrbng Data Usng umercal Measures 005 Prentce-Hall, Inc. Chap 3-1 Chapter Goals After completng ths chapter,

More information