Ch6 Risk and Return Flashcards

(16 cards)

1
Q

What is the purpose of accounting for risk in investment decisions?

A

To ensure that investment evaluations reflect the uncertainty of outcomes and reward appropriate risk levels.

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2
Q

What distribution is often used to model stock returns and why?

A

Stock returns are often assumed to follow a normal distribution because it’s a reasonable empirical approximation, supported by the central limit theorem, and allows for analysis using just mean and variance.

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3
Q

What is the difference between price and return distributions?

A

Prices are assumed to follow a lognormal distribution, while returns are modeled with a normal distribution.

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4
Q

What are the first two moments of a distribution?

A

Expected value (mean) and variance (or standard deviation).

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5
Q

What does the correlation coefficient (ρ) measure?

A

The strength and direction of a linear relationship between two securities’ returns.

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6
Q

How does diversification affect portfolio risk?

A

Diversification reduces unsystematic (firm-specific) risk; only systematic risk remains.

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7
Q

What is the minimum variance portfolio (MVP)?

A

The portfolio with the lowest possible risk (variance) among all possible combinations of risky assets.

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8
Q

What is the efficient frontier?

A

A set of optimal portfolios offering the highest expected return for a defined level of risk.

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9
Q

What is the Capital Market Line (CML)?

A

The line representing portfolios that optimally combine the risk-free asset and the market portfolio.

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10
Q

What is beta in the CAPM?

A

A measure of a security’s sensitivity to market movements; the ratio of its covariance with the market to the market variance.

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11
Q

What is the CAPM formula?

A

Expected Return = Risk-free rate + Beta × Market Risk Premium.

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12
Q

What assumptions underlie the CAPM?

A

Investors are rational and risk-averse, markets are frictionless, all investors have homogenous expectations, and there is a risk-free rate.

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13
Q

What are the limitations of CAPM?

A

It relies on unrealistic assumptions, uses hard-to-estimate parameters, and performs poorly empirically.

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14
Q

What is the Fama-French Three-Factor Model?

A

An extension of CAPM that adds size (SMB) and value (HML) factors to explain stock returns.

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15
Q

What is the Carhart Four-Factor Model?

A

It extends the Fama-French model by adding a momentum factor (MOM) to capture return persistence.

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16
Q

Why does CAPM remain widely used?

A

Despite its flaws, it’s simple, requires fewer inputs, and performs adequately for most practical purposes.