lecture 10 Flashcards

1
Q

computing portfolio expected returns formula

A

E(Rp) = wb * E(Rb) + ws * E(Rs)

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2
Q

computing portfolio variance

A

cov(Rb,Rs)/sigmab*sigmas

or

𝝈𝑷^2 = 𝒘𝒃^𝟐𝝈𝒃^𝟐 + 𝒘𝒔^𝟐𝝈𝒔^𝟐 + 𝟐 (𝒘𝒃𝝈𝒃) *(𝒘𝒔𝝈𝒔 𝝔)𝒃𝒔

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3
Q

The sources of risks

A

market risk (also called non diversifiable risk, systematic risk)

Attributable to marketwide risk sources

Firm specific risk: (idiosyncratic risk, diversifiable risk, unique risk or non systematic risk)

Risk is the firm specific and the sources of risk are independent

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4
Q

why to invest international stocks

A

investors can reduce portfolio risk more by holding international securities more

The less correlated the securities in a portfolio, the lower the portfolio risk

Security returns are substantially less correlated across countries than within a country because

Economic political institutional and even psychological factors affecting security returns tend to vary across countries

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5
Q

why invest in international stocks

A

beta: denotes the systematic risk beta of a countrys stock market index measured against world stock market index

E.g. NL beta = 1.07

SHP: Denotes the sharpe performance measure which is:

(Ri - Rj)/omegaf where Ri and omegai are respectively the mean and standard deviation of returns for the ith market

Sharpe performance measure is provided in parentheses

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6
Q

The optimal international portfolio

A

Has the highest possible sharpe ratio

The OIP can be solved by maximizing the sharpe ratio with respect to the portfolio weights

SHPi = (E(Rp)-Rf)/omegap

THis is called risk adjusted performance measure

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7
Q

why sharpe ratio

A

to earn the highest possible expected returns for any level of volatility we must find the portfolio that generates the steepest possible line when combined with the risk free investment

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8
Q

Sharpe ratio is a reward to risk ratio (formula)

A

E(r) - rf/omega

portfolio excess return/portfolio volatility

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9
Q

the world beta

A

measures the sensitivity of a national market to world market movements

In other words the world beta is defined as

Betai = cov(Rworld,Ri)/omega^2world

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