jagomart
digital resources
picture1_Fofport1


 267x       Filetype XLS       File size 0.06 MB       Source: people.stern.nyu.edu


File: Fofport1
sheet 1 instructions giddy s foundations of finance portfolio assignment you have a client whose portfolio is distributed as follows gpu 000 teledyne 2500 kodak 2500 thai fund 000 merck ...

icon picture XLS Filetype Excel XLS | Posted on 16 Aug 2022 | 3 years ago
Partial file snippet.
Sheet 1: Instructions
Giddy's Foundations of Finance

Portfolio Assignment




You have a client whose portfolio is distributed as follows:

GPU
0.00%
Teledyne
25.00%
Kodak
25.00%
Thai Fund
0.00%
Merck
0.00%
ATT
50.00%
TOTAL
100%



His expectations for the returns in each stock are the following:

GPU
12.67%
Teledyne
13.96%
Kodak
14.02%
Thai Fund
20.75%
Merck
17.81%
ATT
11.26%
What is his portfolio expected return? His portfolio risk?

Use the attached portfolio model to reallocate his portfolio in

such a way as to improve his return and risk


Sheet 2: Portfolio
Giddy's Foundations of Finance











Portfolio Return and Risk Computation





































PORTFOLIO EXPECTED RETURN




PORTFOLIO VARIANCE












CORRELATION MATRIX




ASSET
RETURN WEIGHT PRODUCT
STD DEV CAN FR GER JAP UK USA
1 GPU 0.1267 0.00% 0
0.1715 1




2 Teledyne 0.1396 25.00% 0.0349
0.2893 0.4368 1



3 Kodak 0.1402 25.00% 0.03505
0.3082 0.1659 0.6453 1


4 Thai Fund 0.2075 0.00% 0
0.3278 0.2239 0.4431 0.2447 1

5 Merck 0.1781 0.00% 0
0.341 0.3496 0.1529 0.1312 0.0346 1
6 ATT 0.1126 50.00% 0.0563
0.1606 0.6844 0.4029 0.4318 0.2274 0.6327 1

TOTAL
100%


























Portfolio Variance




3.48%

Portfolio return
12.63%
Portfolio Std Deviation




18.66%


























Weights matrix





Variance-covariance matrix




0 0 0 0 0 0
0.02941225 0.02167181016 0.00876886017 0.01258714303 0.0204451324 0.01885036076
0 0.0625 0.0625 0 0 0.125
0.02167181016 0.08369449 0.057536406378 0.042020298474 0.01508378377 0.018719370582
0 0.0625 0.0625 0 0 0.125
0.00876886017 0.057536406378 0.09498724 0.024721541812 0.01378862144 0.021372770056
0 0 0 0 0 0
0.01258714303 0.042020298474 0.024721541812 0.10745284 0.00386758108 0.011971400232
0 0 0 0 0 0
0.0204451324 0.01508378377 0.01378862144 0.00386758108 0.116281 0.03464956242
0 0.125 0.125 0 0 0.25
0.01885036076 0.018719370582 0.021372770056 0.011971400232 0.03464956242 0.02579236




















































































































































































































































































































Sheet 3: Efficient Frontier
The Efficient Frontier
























OPTIMAL PORTFOLIOS










Given Best

Composition






Return Std. Dev.

GPU Teledyne Kodak Thai Fund Merck ATT
ALL ATT
0.1126 0.1606 0.1126
0% 0% 0% 0% 0% 100%


0.115 0.1548 0.115
17% 0% 0% 0% 0% 83%


0.12 0.1494 0.12
33% 0% 5% 2% 0% 60%


0.125 0.1475 0.125
36% 0% 6% 6% 0% 52%
MIN RISK
0.1283 0.1471 0.1283
38% 0% 6% 9% 0% 47%


0.13 0.1472 0.13
39% 0% 7% 11% 0% 44%


0.14 0.1509 0.14
44% 0% 9% 16% 5% 25%


0.15 0.1572 0.15
50% 0% 12% 20% 11% 7%


0.16 0.168 0.16
43% 0% 11% 28% 18% 0%


0.17 0.184 0.17
30% 0% 9% 37% 24% 0%


0.18 0.2045 0.18
17% 0% 7% 46% 30% 0%


0.19 0.2282 0.19
4% 0% 5% 55% 36% 0%
MAX RETURN
0.2075 0.3278 0.2075
0% 0% 0% 100% 0% 0%
ORIGINAL
12.63% 18.66% 0.12625
0% 25% 25% 0% 0% 50%












































































































































The words contained in this file might help you see if this file matches what you are looking for:

...Sheet instructions giddy s foundations of finance portfolio assignment you have a client whose is distributed as follows gpu teledyne kodak thai fund merck att total his expectations for the returns in each stock are following what expected return risk use attached model to reallocate such way improve and computation variance correlation matrix asset weight product std dev can fr ger jap uk usa deviation weights variancecovariance efficient frontier optimal portfolios given best composition all min max original...

no reviews yet
Please Login to review.