Portfolio Analysis Flashcards

1
Q

OUTCOMES OF MARKET

A

• Price and quantity
• Return - ex-post return, ex-ante return, measured in %, return on single asset/ return on portfolio of
assets
• Risk - measure of dispersion of returns, many measures (eg. Standard deviation, variance, range), individual asset risk/ portfolio risk - diversification effects
• Outcomes change according to asset type

Consider inflation effect

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2
Q

Return on a portfolio

A
The rate of return on a portfolio is a weighted average of the rates of return of each asset comprising the portfolio, with the portfolio proportions as weights.
rp = W1r1 + W2r2
W1 = Proportion of funds in
Security 1
W2 = Proportion of funds in
Security 2
r1 = Expected return on Security 1
r2 = Expected return on Security 2
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3
Q

Portfolio risk

A
  • Portfolio Risk: a measure that estimates the extent to which the actual outcome is likely to diverge from the expected outcome
  • Portfolio risk looks at the benefits of diversification - portfolio risk less than weighted average of each assets risk

formula = sum each pair of combination of covariances multiplied with corresponding weights

• COVARIANCE
– DEFINITION: a measure of the relationship between two random variables
– possible values:
» positive: variables move together
» zero: no relationship
» negative: variables move in opposite directions

• CORRELATION COEFFICIENT
– rescales covariance to a range of +1 to -1

covariance of i and j divided by stdev of i and j

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4
Q

Other method for capturing expected return and risk

A
  • Expected Risk and Return variables can also be measured using subjective probabilities
  • All outcomes are determined according to likelihood (probability) of occurrence
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5
Q

Sharpe Ratio for Portfolios

A

it is The Reward-to-Volatility

= risk premium / Stdev of excess return

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6
Q

Use of Normal distribution

A

• Investment management is easier when returns are normal.
– Standard deviation is a good measure of risk when returns are symmetric.
– If security returns are symmetric, portfolio returns will be, too.
– Future scenarios can be estimated using only the mean and the standard deviation.

Normality and Risk Measures
• What if excess returns are not normally distributed?
– Standard deviation is no longer a complete measure of risk
– Sharpe ratio is not a complete measure of portfolio performance
– Need to consider skew and kurtosis

=average( R - Rbar)cube / sigma cube ( Skew)
=average( R - Rbar)power of 4/ sigma power of 4
(Kurtosis)

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7
Q

Value at Risk ( another measurement of risk to capture potential large downside)

A

• A measure of loss most frequently
associated with extreme negative returns
• VaR is the quantile of a distribution below which lies q % of the possible values of that distribution
– The 5% VaR , commonly estimated in practice, is the return at the 5th percentile when returns
are sorted from high to low.

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8
Q

Expected Shortfall

A

• Also called conditional tail expectation (CTE)
• More conservative measure of downside risk than VaR
– VaR takes the highest return from the worst cases
– ES takes an average return of the worst cases

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9
Q

Historic Returns on Risky Portfolios

A
  • Returns appear normally distributed
  • Returns are lower over the most recent half of the period (1986-2009)
  • SD for small stocks became smaller; SD for longterm bonds got bigger
  • Better diversified portfolios have higher

Sharpe Ratios
• Negative skew

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10
Q

Efficient Portfolio

A

Combinations of Two Risky Assets Revisited: Short Sales Not Allowed
• Case 1 – Perfect Positive Correlation (p = +1)
• Case 2 – Perfect Negative Correlation (p = -1.0)
• Case 3 – No Relationship between Returns on the Assets (p = 0)
• Case 4 – Intermediate Risk (p = 0.5)

imagine this graph, the more negatively correlated the more graph bends to vertical horizon

Can you extract and graph the efficient frontier ( no short selling)
(With short selling)

Remember it is only the part that is above min variance point

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11
Q

The Efficient Frontier with Riskless Lending and Borrowing

A
  • The introduction of a riskless asset into our portfolio possibility set considerable simplifies the analysis.
  • We can consider lending at a riskless rate as investing in an asset with a certain outcome.
  • Borrowing can be considered as selling such a security short; thus borrowing can take place at the riskless rate.
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12
Q

Graph expected return and risk when the risk-free

rate is mixed with portfolio A.

A

portfolio A joined to risk free asset point, strait line. in between points reflect lending, the part further from A portfolio up reflect borrowing ( at risk free rate not realistic but for now)

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13
Q

Graph The efficient frontier with lending but not borrowing at the riskless rate

A

jus efficient frontier and tangent from risk free point

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14
Q

Graph The efficient frontier with riskless lending

and borrowing at different rates.

A

ledning and borroing rates would differ

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