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Introduction to Management Science 5th Edition, 课后习题答案 Chapter 13

Introduction to Management Science 5th Edition, 课后习题答案 Chapter 13
Introduction to Management Science 5th Edition, 课后习题答案 Chapter 13

CHAPTER 13 COMPUTER SIMULATION WITH RISK SOLVER PLATFORM

SOLUTION TO SOLVED PROBLEMS

13.S1 Saving for Retirement

Patrick G ordon i s t en y ears a way f rom r etirement. H e h as a ccumulated a $100,000 n est e gg that h e w ould l ike t o i nvest f or h is g olden y ears. F urthermore, h e i s c onfident t hat h e c an invest $10,000 m ore e ach y ear u ntil r etirement. H e i s c urious a bout w hat k ind o f n est e gg h e

can e xpect t o h ave a ccumulated a t r etirement t en y ears f rom n ow.

Patrick p lans t o s plit h is i nvestments e venly a mong f our i nvestments: a M oney M arket F und, a Domestic S tock F und, a G lobal S tock F und, a nd a n A ggressive G rowth F und. B ased o n p ast performance, P atrick e xpects e ach o f t hese f unds t o e arn a r eturn i n e ach o f t he u pcoming t en years a ccording t o t he d istributions s hown i n t he f ollowing t able.

Money M arket Uniform (Minimum = 2%, M aximum = 5%)

Domestic S tock Normal (Mean = 6%, S tandard D eviation = 5%)

Global S tock Normal (Mean = 8%, S tandard D eviation = 10%)

Aggressive G rowth Normal (Mean = 11%, S tandard D eviation = 16%)

Assume t hat t he i nitial n est e gg ($100,000) a nd t he f irst y ear’s i nvestment ($10,000) a re made r ight n ow (year 0) a nd a re s plit e venly a mong t he f our f unds (i.e., $27,500 i n e ach f und). The r eturns o f e ach f und a re a llowed t o a ccumulate (i.e., a re r e--‐invested) i n t he s ame f und

and n o r edistribution w ill b e d one b efore r etirement. F urthermore, n ine a dditional investments o f $10,000 w ill b e m ade a nd s plit e venly a mong t he f our f unds ($2,500 e ach) a t year 1, y ear 2, ..., y ear 9.

A f inancial a dvisor h as t old P atrick t hat h e c an r etire c omfortably i f h e c an a ccumulate $300,000 b y y ear 10 t o s upplement h is o ther s ources o f r etirement i ncome. U se a 1000--‐trial RSPE s imulation t o e stimate e ach o f t he f ollowing.

The u ncertain e lements i n t his p roblem a re t he a nnual r eturn o f e ach i nvestment o ver t he next 10 y ears (Year 0 t hrough Y ear 9). T o s imulate t his, w e d efine a n u ncertain v ariable c ell for t he a nnual r eturn o f e ach i nvestment i n e ach y ear. T hese c ells a re d efined i n r ows 12, 17, 22, a nd 27 o f t he s preadsheet b elow.

To t rack t he i nvestments, w e c alculate t heir b alances i n e ach y ear. R ow 10, 15, 20, a nd 25 show t he i nvestment m ade b y P atrick i n e ach y ear.

Rows 11, 16, 21, a nd 26 c alculate t he b alance i n e ach f und a t t he s tart o f t he y ear. F or Y ear 0 i n e ach f und, t his w ill s imply b e t he i nitial i nvestment ($25,000) p lus t he a nnual investment ($2,500). F or e ach f uture y ear, i t w ill b e t he b alance a t t he e nd o f t he p receding year p lus t he a nnual i nvestment. F or e xample, f or Y ear 1 o f t he m oney m arket f und, t he starting b alance i s D11 = C13 + D10.

Rows 13, 18, 23, a nd 28 c alculate t he y ear--‐end b alance f or e ach f und. T his w ill b e t he starting b alance t imes t he n et r eturn. F or e xample, f or t he m oney m arket f und i n Y ear 0 this w ill b e C13 = C11*(1+C12).

Finally, t he Y ear 10 t otals a re a dded u p i n M30 t o c alculate P atrick’s f inal n est e gg. T his c ell is d efined a s a r esults c ell i n R SPE. T wo s tatistic c ells a re d efined i n M31 a nd M32 t o estimate t he m ean a nd s tandard d eviation o f t he f inal n est e gg.

The r esults o f a 1000--‐trial s imulation r un a re s hown b elow.

a. What w ill b e t he e xpected v alue (mean) o f P atrick’s n est e gg a t y ear 10?

The m ean o f t he n est e gg a t y ear 10 i s n early $356 t housand.

b. What w ill b e t he s tandard d eviation o f P atrick’s n est e gg a t y ear 10?

The s tandard d eviation o f P atrick’s n est e gg a t y ear 10 i s n early $54 t housand.

c. What i s t he p robability t hat t he t otal n est e gg a t y ear 10 w ill b e a t l east $300,000?

There i s n early a n 88% c hance t hat t he t otal n est e gg a t y ear 10 w ill b e a t l east $300,000.

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