FINA 4321 Portfolio Management MIDTERM

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Last updated 3:41 AM on 9/29/26
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54 Terms

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return

measure of how well a security or a portfolio performs

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stock holding period return

P0: begin. per. stock price

P1: end of per. stock price

D1: dividends paid (if any) right before the end of the period

<p>P0: begin. per. stock price </p><p>P1: end of per. stock price</p><p>D1: dividends paid (if any) right before the end of the period</p>
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income yield

dividends received by the investor (ex. interest earned from the bank)

<p>dividends received by the investor (ex. interest earned from the bank)</p>
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capital gain or loss

change in security price

<p>change in security price</p>
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Fisher equation

to go from nominal returns to real returns (and vice versa)

  • inflation = growth rate in CPI


<p>to go from nominal returns to real returns (and vice versa)</p><ul><li><p>inflation = growth rate in CPI</p></li></ul><p></p>
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real return

return adjusted for inflation; shows true purchasing power

  • RR of cash is negative if i>0%


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nominal return

return at face value before adjusting for inflation

  • NR of holding cash = 0% w/ no dividends


<p>return at face value before adjusting for inflation</p><ul><li><p>NR of holding cash = 0% w/ no dividends</p></li></ul><p></p>
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expected value

mean of a random variable

  • estimated using calculated sample mean based on past returns


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stock return

viewed as a random variable b/c its realization is uncertain

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variance

avg distance from the mean (units = sq. of original); measure of investment risk

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standard deviation

average distance from the mean (units = same as original); measure of investment risk

  • sq. root of variance

  • interpret: the stock return typically deviates by __ % from the avg return of __ %


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covariance

how 2 variables move together; measures direction; scale = infinite

  • positive # = move together

  • negative # = move opposite


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correlation

how 2 variables move together; measures strength and direction; scale = -1 to 1

  • positive # = move together

  • negative # = move opposite


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simple linear regression

best line that describes the relationship between 2 variables

  • error term: dist b/w point and regression line

  • errors minimized by ordinary least square


<p>best line that describes the relationship between 2 variables</p><ul><li><p>error term: dist b/w point and regression line</p></li><li><p>errors minimized by ordinary least square</p></li></ul><p></p>
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coefficient of determination (R2)

how much of the variation in Y is explained by X; scale = 0 to 1

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alpha

the intercept of the regression; the value of Y when X is 0

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t-stat

t-stat > 1.96 means the coefficient is statistically significant (aka different from 0)

  • for alpha or beta


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beta

the slope of the regression; on avg, when X increases by 1%, Y increases by (beta)%

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returns across various assets

  • treasury bills: ST loan to gov; low risk, low returns

  • bonds (gov and corp): LT, receive periodic CPNS then principal is paid back at maturity; mid risk, mid returns

Stocks: ownerships to corporations that are entitled to receive cash dividends; high risk, high returns


<ul><li><p>treasury bills: ST loan to gov; low risk, low returns</p></li><li><p>bonds (gov and corp): LT, receive periodic CPNS then principal is paid back at maturity; mid risk, mid returns</p></li></ul><p>Stocks: ownerships to corporations that are entitled to receive cash dividends; high risk, high returns</p><p></p>
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security returns based on firm characteristics

  • size (market cap)

    • small firm = higher TOT risk, higher returns (not higher market risk/beta)

  • industry affiliation

  • accounting ratios (BTM)

    • value firms have higher returns and risk than growth firms


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How security returns behave compared with their risk

Relation between average returns and dispersion (risk) is not trivial (simple/linear)

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benefits of diversification

even naive diversification reduces risk considerably (ex. picking stocks randomly)

  • downward trend, but the relationship is not monotone (adding a stock does not strictly decrease volatility every single time)


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utility function

used to rank and choose among different investment alternatives

  • same utility = no preference b/w risky or RF asset


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risk aversion

The higher the A, the more the investor dislikes risk

  • A>0: risk averse (prefers RF if RP=0); paying for insurance

  • A=0: risk neutral

  • A<0: risk-loving (prefers risky if RP=0)

  • A doesn’t matter if sd=0 (constant returns)

determines which securities an investor selects



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risk premium

E(R)-Rf; expected excess return

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indifference curve

all the combos of risk and expected return that give an investor the same amount of utility

  • one for each level of utility (infinite possibilities)


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indifference curve breakdown

  • risk averse = steep curve (requires massive return for extra risk)

  • risk loving = flatter curve (required minimal return for extra risk)

  • higher intercept = higher utility (closer to NW area = highest return, least risk))


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risk neutral investor

only cares about expected return and completely ignores risk/volatility (A = 0, U=E(R))

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indifferent between investments

investor derives the same utility from both investments

  • every point along indifference curve


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portfolio

combo of securities indicating the amount invested in each one to balance risk and return

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3 rules of portfolio algebra

To characterize the risk and return of ANY portfolio

  1. E(R) of a portfolio is the weighted avg of the E(R) of the securities in the portfolio

  2. sum of the weights of each security in a portfolio is ALWAYS 1

  3. Variance formula for 2 assets

  • covariance = 0 if 1 risky and 1 RF (constant return)


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capital allocation line

shows all the risk and return combos from a portfolio of 1 risky and 1 RF asset

  • slope = sharpe ratio of risky asset

  • every portfolio on the same CAL = same Sharpe ratio


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buying on margin

borrowing money from a broker to buy stocks

  • investor benefits if stock price increases


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short selling

Selling something you don’t own

  • Investor benefits if stock price decreases


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short selling example

borrow a security from a broker and sell it, then buy it back later and return the security

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CAL for buying on margin (borrowing)

TOT risk surpasses stock risk

<p>TOT risk surpasses stock risk</p>
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CAL for short selling

only short if Rf > E(R) b/c all earned proceeds are the Rf

<p>only short if Rf &gt; E(R) b/c all earned proceeds are the Rf</p>
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sharpe ratio

how much excess return an investor receives for taking on extra risk; measures risk-adjusted return

  • slope of the CAL

  • interpret: asset earns (SR)% of excess return above the Rf for every 1% of risk


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optimal portfolio

proportion you should invest in the risky asset; tangent of the indifference curve and CAL;

  • Xs decreases when A or sd increases

  • Xs increases when E(R) increases

  • Formula derived from maximizing utility, subbing E(Rp) and sd(Rp) values


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minimum variance frontier

set of RISKY portfolios with the lowest variance for each level of return

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minimum variance frontier for correlation=1

highest risk b/c if one does poorly, so does the other (no buffer)

  • like holding one stock

  • small gains from diversification

  • investment opportunties set will curve slightly left


<p>highest risk b/c if one does poorly, so does the other (no buffer)</p><ul><li><p>like holding one stock</p></li><li><p>small gains from diversification</p></li><li><p>investment opportunties set will curve slightly left</p></li></ul><p></p>
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minumum variance frontier for correlation=-1

lowest risk b/c 2 risky assets move in opposite directions (performance cancels)

  • high gains from diversification (lower risk for same level of E(R))

  • investment opportunties set will curve sharply left (NW area)


<p>lowest risk b/c 2 risky assets move in opposite directions (performance cancels)</p><ul><li><p>high gains from diversification (lower risk for same level of E(R))</p></li><li><p>investment opportunties set will curve sharply left (NW area)</p></li></ul><p></p>
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perfectly hedged portfolio

portfolio of risky assets with zero risk; when correlation=-1

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minimum variance frontier for correlation=0

knowt flashcard image
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efficient frontier

the set of portfolios that have the highest possible expected return for a given level of risk.

<p>the set of portfolios that have the highest possible expected return for a given level of risk.</p>
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minimum variance portfolio

the portfolio of RISKY assets which has the lowest standard deviation

<p>the portfolio of <strong>RISKY</strong> assets which has the lowest standard deviation</p>
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diversification

combining risky securities into a portfolio in order to reduce total portfolio risk

  • eliminates firm-specific risk, but not market risk (beta)


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Two-Fund Separation Theorem

All portfolios on the Minimum Variance Frontier can be found by combining ANY two distinct portfolios that are also on that frontier

  • Useful when constructing a minimum variance frontier with N assets to avoid multivariate optimization and vector algebra

  • If portfolios Y and Z lie on the Minimum Variance Frontier, any new portfolio P constructed from them is also on the frontier


<p>All portfolios on the Minimum Variance Frontier can be found by combining ANY two distinct portfolios that are also on that frontier</p><ul><li><p>Useful when constructing a minimum variance frontier with N assets to avoid multivariate optimization and vector algebra</p></li><li><p>If portfolios Y and Z lie on the Minimum Variance Frontier, any new portfolio P constructed from them is also on the frontier</p></li></ul><p></p>
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systematic and non-systematic risk

because the average covariance between the securities in the NYS is positive, we should not expect to completely eliminate market risk in a large diversified portfolio

  • systematic/market risk - interest rate changes, recessions, geopolitical conflicts

  • non-systematic/ firm-specific - mismanagement, product failures, labor strikes


<p>because the average covariance between the securities in the NYS is positive, we should not expect to completely eliminate market risk in a large diversified portfolio</p><ul><li><p>systematic/market risk - interest rate changes, recessions, geopolitical conflicts</p></li><li><p>non-systematic/ firm-specific - mismanagement, product failures, labor strikes</p></li></ul><p></p>
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optimal risky portfolio (many risky securities and 1 RF asset)

tangency point of the CAL and the efficient frontier; maximum sharpe ratio (slope)

  • weight invested is determined by the investor’s risk aversion


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mean variance efficient portfolio (MVEP)

the portfolio of risky assets that has the HIGHEST SHARPE RATIO

  • maximizes the reward per unit of risk


<p>the portfolio of risky assets that has the HIGHEST SHARPE RATIO</p><ul><li><p>maximizes the reward per unit of risk</p></li></ul><p></p>
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optimal CAL

CAL with the maximum sharpe ratio (slope)

  • any portfolio on this line is an efficient portfolio

  • obtained by combining the risk-free rate with the MVEP

  • slope is the sharpe ratio of the MVEP


<p>CAL with the maximum sharpe ratio (slope)</p><ul><li><p>any portfolio on this line is an efficient portfolio</p></li></ul><ul><li><p>obtained by combining the risk-free rate with the MVEP</p></li><li><p>slope is the sharpe ratio of the MVEP</p></li></ul><p></p>
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optimal global portfolio

agents will combine the risk-free asset with the MVEP in different proportions

  • everyone chooses the MVEP, but high risk averse investors will invest more on the RF asset and low-risk-averse investors will invest more on the MVEP (and possibly borrow at the risk-free rate)


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