2024EXAM Flashcards

(13 cards)

1
Q

How do you calculate portfolio standard deviation in Excel

A

SQRT(MMULT(TRANSPOSE(weights),MMULT(VCOV,weights)))

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2
Q

How do you compute the correlation between two assets?

A

Correlation(i,j) = Cov(i,j) / [SD(i) * SD(j)]

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3
Q

What does the Lagrange multiplier on standard deviation represent in optimization?

A

The rate at which portfolio return increases for each unit increase in standard deviation (risk).

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4
Q

What is the Shrinkage method used for in financial modeling?

A

It adjusts the sample VCOV matrix by:

Keeping variances (diagonal) the same

Replacing covariances (off-diagonal) with a weighted average of the sample and a diagonal matrix
Formula: Shrinked VCOV = λ(Sample VCOV) + (1–λ)(Diagonal matrix)

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5
Q

What are the two steps in testing the CAPM using regressions?

A

First-pass: Estimate β for each asset by regressing returns on market index returns.

Second-pass: Regress average returns of each asset on their β to test:

Intercept = risk-free rate

Slope = market risk premium

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6
Q

What is the slack of the feasibility constraint if the sum of weights = 1?

A

Zero – the constraint is binding.

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7
Q

Name two good practices in financial statement modeling (besides color-coding).

A

Use consistent formulas across rows or columns (reduces errors)
Avoid hard-coded numbers within formulas

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8
Q

Excel formula to calculate portfolio mean return using weights and expected returns?

A

=SUMPRODUCT(weights, returns) or =MMULT(TRANSPOSE(weights), returns)

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9
Q

How does the Constant Correlation method modify the VCOV matrix?

A

Keeps variances unchanged

Sets all covariances using the formula:
Cov𝑖𝑗 = 𝜌⋅𝜎𝑖⋅𝜎𝑗
where ρ is the average correlation.

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10
Q

What is the formula for 1-day Delta-Normal Value-at-Risk (DNVaR) at a given confidence level?

A

Portfolio Value
× Portfolio Standard Deviation
× Square Root of the Time Horizon (in days)
× Absolute Value of the Z-score corresponding to the confidence level

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11
Q

What happens to VaR if assets are independent?

A

Correlation = 0 ⇒ lower portfolio standard deviation ⇒ lower VaR

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12
Q

Difference between Absolute VaR and Relative VaR?

A

Absolute VaR: loss vs. initial portfolio value

Relative VaR: loss vs. expected future value

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13
Q

How should a financial analyst interpret regression output?

A

Betas: sensitivity to market/petroleum

t-stats: significance of variables

R²: explanatory power of the model

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