Principal Component Analysis (PCA) is a stable and good way of calculating VaR on a portfolio using a model building approach There has been several attempts to estimate factors for a PCA analysis. The well known model, for a long period of time, below can be used Factor loadings PCA model PC1 PC2 PC3 1 0,216 -0,501 0,627 2 0,331 -0,429 0,129 3 0,372 -0,267 -0,157 4 0,392 -0,11 -0,256 5 0,404 0,019 -0,355 Factor scores Factor Score PC 1 17,55 PC 2 4,77 PC 3 2,08 Question 2.3 What is the 99% 10 day VaR for the portfolio using all three factors estimated in the PCA model Would you use all the factors in reality
Principal Component Analysis (PCA) is a stable and good way of calculating VaR on a portfolio using a model building approach There has been several attempts to estimate factors for a PCA analysis. The well known model, for a long period of time, below can be used Factor loadings PCA model PC1 PC2 PC3 1 0,216 -0,501 0,627 2 0,331 -0,429 0,129 3 0,372 -0,267 -0,157 4 0,392 -0,11 -0,256 5 0,404 0,019 -0,355 Factor scores Factor Score PC 1 17,55 PC 2 4,77 PC 3 2,08 Question 2.3 What is the 99% 10 day VaR for the portfolio using all three factors estimated in the PCA model Would you use all the factors in reality
Essentials Of Investments
11th Edition
ISBN:9781260013924
Author:Bodie, Zvi, Kane, Alex, MARCUS, Alan J.
Publisher:Bodie, Zvi, Kane, Alex, MARCUS, Alan J.
Chapter1: Investments: Background And Issues
Section: Chapter Questions
Problem 1PS
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Transcribed Image Text:Principal Component Analysis (PCA) is a stable and good way of calculating VaR on a portfolio using a model
building approach
There has been several attempts to estimate factors for a PCA analysis. The well known model, for a long
period of time, below can be used
Factor loadings
PCA model
PC1
PC2
PC3
1
0,216
-0,501
0,627
2
0,331
-0,429
0,129
3
0,372
-0,267
-0,157
4
0,392
-0,11
-0,256
5
0,404
0,019
-0,355
Factor scores
Factor
Score
PC 1
17,55
PC 2
4,77
PC 3
2,08
Question 2.3
What is the 99% 10 day VaR for the portfolio using all three factors estimated in the PCA model
Would you use all the factors in reality
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