BKM 6-8: Portfolio Theory Flashcards

1
Q

Risk premium

A

Expected return in excess of the risk-free rate

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2
Q

Utility function

A
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3
Q

Risk-averse

A

A > 0

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4
Q

Risk-neutral

A

A = 0

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5
Q

Risk-seeking

A

A < 0

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6
Q

Mean-Variance Criterion

A

Portfolio A is preferred to portfolio B if the expected return of A >= expected return of B and risk of A <= risk B

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7
Q

Certainty-equivalent rate

A

Rate of return that would cause the investor to be indifferent between risky and risk-free investment

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8
Q

Indifference curve

A

X: standard deviation, Y: expected return

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9
Q

Expected return of complete portfolio (1 risky, 1 risk free)

A
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10
Q

Standard deviation of complete portfolio (1 risky, 1 risk free)

A
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11
Q

Capital allocation line (CAL)

A

Combinations of risk (x-axis) and expected return (y-axis) for complete portfolio: y-intercept: SD = 0 other point: y = 1

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12
Q

Sharpe ratio

A

Slope of the CAL Also called reward-to-risk ratio

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13
Q

Weight on risky portfolio, based on risk tolerance, in complete portfolio (1 risky, 1 risk free)

A
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14
Q

Capital Market Line

A

If risky asset is based on a broad index of common stocks (i.e. S&P 500) within a complete portfolio

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15
Q

Passive strategies (Indexing)

A

Choosing a risky portfolio to be large, well-diversified (i.e. S&P 500)

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16
Q

Why passive strategies make sense

A

Minimizes cost of information acquisition

Takes advantage of everyone else’s efforts to do so

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17
Q

Criticisms of passive strategies

A

Undiversified Top Heavy Chasing Performance You can do better (few active fund managers beat indices)

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18
Q

Portfolio variance with two risky assets

A
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19
Q

Risk and return, correlation = 1

A

Straight line

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20
Q

Risk and return, correlation = -1

A

Kinked line (sideways V) Will intercept y-axis

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21
Q

Minimum variance portfolio

A

Portfolio with the lowest variance that can be constructed from assets with a certain level of correlation

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22
Q

Optimal risky portfolio

A

Risky portfolio that produces the line tangent to the portfolio opportunity set

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23
Q

Hedge Asset

A

Has negative correlation with other assets in the portfolio

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24
Q

Minimum variance portfolio weight on A

A
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25
When correlation between assets = -1
Perfectly hedged position can be obtained by setting weighted SDs equal to each other
26
Minimum variance portfolio SD
Must be smaller than that of either of the individual component assets
27
Diversification and correlation of assets
Lower correlation, diversification is more effective and portfolio risk is lower
28
Weights of optimal risky portfolio
29
Steps to arrive at complete portfolio
1. Specify returns, variances, covariances 2. Calculate optimal risky portfolio weights 3. Allocate weights to optimal risky portfolio 4. Calculate y\* 5. Distribute y\* to weights of risky portfolio, (1 - y\*) to risk-free
30
Minimum-variance frontier
Lowest possible variance that can be attained for a given portfolio expected return
31
Graph of: CAL Indifference curve Optimal risky portfolio Complete portfolio Portfolio opportunity set
32
Socially responsible investing
Cost of lower Sharpe ratio justifiably viewed as a contribution to underlying cause
33
Separation property
Two tasks: 1. Determine optimal risky portfolio (technical) 2. Capital allocation based on risk preference
34
Market vs. Firm-specific risk (graph)
35
Equally weighted portfolio variance
First term can be diversified away (firm-specfic risk) Second term depends on covariances between returns (market risk)
36
Risk pooling
Merging uncorrelated, risky projects as a means to reduce risk
37
Results of pooling uncorrelated risks
38
Issues with risk pooling
Probability of loss declines, but overall standard deviation increases; does not allow shedding of risk
39
Risk sharing
Act of selling shares in an attractive risky portfolio to limit risk and maintain Sharpe ratio of resulting position
40
Risk sharing results, two uncorrelated assets
Pool tow assets and sell off half of combined portfolio
41
Two factors dampening process of risk sharing in insurance
Managing very large firms comes at a risk Misestimating correlations can cause failure
42
Extending investment horizons for risk
Investing completely in risky asset for both periods analagous to risk pooling; investing half in risky asset for each period analogous to risk sharing
43
Issues with Markowitz model
Requires (n2 +3n)/2 total estimates Errors in estimation of correlations can lead to nonsensical results
44
Decomposing rate of return
45
Single-factor model
46
Total risk of a security
47
Single-factor model, systematic risk of a security
48
Covariance between any pair of securities
49
Regression equation of single-index model
50
Single-index model
Uses market index to proxy for the common factor
51
Number of single index model estimates
n estimates of alpha n estimates of beta n estimates of firm-specific variances 1 estimate for market risk premium 1 estimate for variance of common factor
52
Security characteristic model
Straight line with intercept alpha and slope beta for a given security
53
Alpha
Nonmarket premium
54
Issues with relying on alpha
Past does not readily fortell the future; no correlation between estimates of one sample period to the next
55
Hierarchy of preparation of input list for single-index
1. Macroeconomic analysis (risk premium) 2. Statistical analyses (betas, residual variances) 3.
56
Initial weight in active portfolio, single-index model
57
Final weight in active portfolio, single-index model
58
Information ratio
The contribution of the active portfolio to the Sharpe ratio of the overall risky portfolio
59
Sharpe ratio of an optiamally constructed risky portfolio
60
Adjusted beta
2/3\*sample beta + 1/3 As firm becomes more conventional, it will tend toward 1
61
Variables that help predict betas
Variance of earnings Variance of cash flow Growth in earnings per share Firm size Dividend yield Debt-to-Asset ratio
62
Tracking portfolio
Designed to match the systematic component of a portfolio; must have same beta on index portfolio as P and as little firm risk as possible Also called beta capture
63
Alpha transport
Separating search for alpha from the choice of market exposure
64
σ2(eP), formula
Σwi2σ2(ei)