chapter 8 book: valuing portfolios and stuff Flashcards

1
Q

Risk

A

the possibility of incurring harm

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2
Q

ex post returns

A

past or historical returns

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3
Q

ex ante returns

A

expected returns

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4
Q

the return on an investment consists of which two components

A

the income yield

the capital gain (or loss) yield

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5
Q

The income yield

A

the return earned in the form of a periodic cash flow received by the investors

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6
Q

the income yield formula

A

Income yield = CF1 / P0

CF1 = the expected cash flows to be received

P0 = the purchase price (or beginning market price)

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7
Q

The capital gain (or capital loss)

A

measures the appreciation (or depreciation) in the price of the asset from some starting price, usually the purchase price or the price at the start of the year

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8
Q

capital gain yield formula

A

Capital gain yield = (P1 - P0) / P0

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9
Q

capital gain

A

the appreciation in the price of an asset from some starting price

usually the purchase price or the price at the start of the year

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10
Q

capital loss

A

the depreciation in the price of an asset from some starting price

usually the purchase price or the price at the start of the year

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11
Q

total return formula

A

income yield plus the capital gain (or loss) yield

(CF1 + P1 - P0) / P0

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12
Q

paper losses

A

capital losses that people do not accept as losses until they actually sell and realize them

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13
Q

our decision to acknowledge paper gains and losses depends on what?

A

our investment horizon

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14
Q

A day trader

A

someone who buys and sells based on intraday price movements

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15
Q

what do we mean when we say that investors have to mark to market the prices of all financial securities over the relevant investment horizon?

A

investors always carry securities at the current market value regardless of whether they sell them

–> the total return includes the effect of paper gains and losses on securities not yet sold

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16
Q

How can we measure the ex post or historical returns?

A

The arithmetic mean or geometric average

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17
Q

The arithmetic mean or arithmetic average

A

the most commonly used value in statistics

the sum of all of the returns divided by the total number of observations

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18
Q

The arithmetic mean or arithmetic average formula

A

Arithmetic mean (AM) = (Eri / n)

ri = the individual returns

n = the total number of observations

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19
Q

The geometric mean

A

measures the compound growth rate over multiple periods

this is the growth rate in the value invested or, equivalently, the compound rate of return

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20
Q

The geometric mean formula

A

(1 + rn) ^(1/n) - 1

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21
Q

the standard deviation

A

a measure of risk over all the observations

A more accurate measure of risk

the square root of the variance, denoted as σ

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22
Q

The Arithmetic Mean is appropriate to use when?

A

when we are trying to estimate the typical return for a given period, such as a year

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23
Q

what do we use when we are interested in determining the “true” average rate of return over multiple periods?

A

the Geometric Mean

–> We use the GM because it measures the compound rate of growth in our investment value over multiple periods

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24
Q

the better way to estimate the average return when we are interested in the performance of an investment over time

A

the geometric mean

gives us a better insight

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25
Q

expected returns

A

estimated future returns

often estimated based on historical averages

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26
Q

problem with expected earnings

A

there is no guarantee the past will repeat itself

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27
Q

expected returns formula

A

ER = E(ri · Probi)

ER = the expected return on an investment

ri = the estimated return in scenario i

Probi = the probability of state i occurring

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28
Q

difference between arithmetic mean and expected returns

A

they both look at past data

the difference is that expected returns consider different probabilities while arithmetic mean weights the probabilities equally

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29
Q

which is better between the scenario based and historic approach in the short term future? why?

A

scenario based approach

because where we are today has a huge bearing on what is likely to happen over a short period

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30
Q

which is better between the scenario based and historic approach in the long term future? why?

A

historic based approach

tends to be better because it reflects what actually happens, even if it was not expected

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31
Q

the range

A

the difference between the maximum and minimum values

32
Q

why is the standard deviation a more accurate measure of risk than the range?

A

because the range uses only two observations, the maximum and minimum, whereas the standard deviation uses all the observations

33
Q

The formula of the standard deviation for a series of historical or ex post returns is

historical approach

A

ex post σ = ((E(ri - r_)^2) / (n - 1))^(1/2)

ri = the return in year i

r_ = the average return

n = number of observations

basically, whats inside the square root is the variance

34
Q

the variance

A

denoted as σ^2

square of the standard deviation

expressed in units of %2

35
Q

The formula of the standard deviation for a scenario based ex ante returns

scenario based approach

A

ex ante σ = (E(Probi)(ri - ER)^2)^(1/2)

36
Q

ex ante is scenario based or historic approach

A

scenario based approach

37
Q

ex post is scenario based or historic approach

A

historic approach

38
Q

The coefficient of variation (CV)

A

an alternative measure of risk compared to the variance or standard deviation

a standardized measure of dispersion that can be used to compare the risks of two investments with different arithmetic means

not expressed as a percentage

39
Q

The coefficient of variation (CV) formula

A

Standard deviation of returns / Arithmetic mean return

40
Q

a higher risk is a higher or lower coefficient of variation (CV)?

A

a lower coefficient of variation (CV)

41
Q

A portfolio

A

a collection of securities, such as stocks and bonds, that are combined and considered a single asset

may refer to the holdings of a single investor or to holdings that are managed as a unit by one or more portfolio managers on behalf of their clients

42
Q

modern portfolio theory (MPT)

A

The study of portfolios and the potential gains related to them

the theory that securities should be managed within a portfolio, rather than individually, to create risk-reduction gains

also stipulates that investors should diversify their investments so as not to be unnecessarily exposed to a single negative event

43
Q

why investors should diversify their investments?

A

so that they are not unnecessarily exposed to a single negative event

44
Q

The expected return on a portfolio

A

the weighted average of the expected returns on the individual securities in the portfolio

The “portfolio weight” of a particular security is the percentage of the portfolio’s total value that is invested in that security

45
Q

The expected return on a portfolio formula

A

ERp = E(wi · ERi)

ERp = the expected return on the portfolio

ERi = the expected return on security i

wi = the portfolio weight of security i

46
Q

The standard deviation of a two-security portfolio (first formula excluding the correlation coefficient)

A

σp = (((WA)^2)((σA)^2) + (WB)^2)((σB)^2) + 2(WA)(WB)(COVAB))^(1/2)

σp = the portfolio standard deviation

COVAB = the covariance of the returns on security A and security B

47
Q

covariance

A

a statistical measure of the correlation of the fluctuations of the annual rates of return of different investments

related to the correlation coefficient

48
Q

covariance first formula formula (excluding the correlation coefficient)

A

COVAB = EProbi · (rA,i - r_A)(rB,i - r_B)

rA,i = the ith return on security A

rB,i = the ith return on security B

49
Q

the correlation coefficient

A

ρAB

related to covariance and individual standard deviations

a statistical measure that identifies how security returns move in relation to one another

has a maximum value of +1.0, which denotes perfect positive correlation, and a minimum value of −1.0, which denotes perfect negative correlation

50
Q

the correlation coefficient formula

A

ρAB = COVAB / (σA · σB)

51
Q

covariance new formula with the correlation coefficient

A

COVAB = ρAB · σA · σB

52
Q

the formula to calculate the portfolio standard deviation with the correlation coefficient

A

σp = (((wA)^2)((σA)^2) + (wB)^2)((σB)^2) + 2(wA)(wB)(ρAB · σA · σB))^(1/2)

53
Q

what does a positive correlation coefficients imply?

A

that the returns on security A tend to move in the same direction as those on security B

54
Q

what does a negative correlation coefficients imply?

A

the returns on security A tend to move in the opposite direction to those on security B

55
Q

what does the covariance measure when we compare it to the correlation coefficient? (it always measures it anyways)

A

measures the strength, or magnitude, of the relationship between two variables

56
Q

the lower the correlation coefficient, the lower or higher the standard deviation involved?

A

the lower

57
Q

the secret of MPT

A

by combining securities in a portfolio, we can reduce risk

risk reduction increases as we combine securities that are less than perfectly correlated

58
Q

what does it mean when we say that the relationship between the correlation coefficient and the standard deviation of our pertfolio is bowed?

A

because, as it decreases towards -1, it directly touches the horizontal line perpendiculairement

on the other hand, as it is at 1, it becomes on straight line (does not curve anymore)

59
Q

how to calculate the standard deviation of a portfolio that removes all risk?

A

σp = wσA - (1 - w) · σB

when p = -1

where, the singular w = σB / (σA + σB)

60
Q

the basis of hedging

A

The perfect negative correlation case

taking an offsetting position so as to minimize risk

61
Q

three securities portfolios standard deviation

A

just write it on your cheat sheet if you need it bro

62
Q

the father of modern portfolio theory

A

Harry Markowitz

63
Q

Harry Markowitz’s three main assumptions for investors

A
  1. Investors are rational decision-makers.
  2. Investors are risk averse
  3. Investor preferences are based on a portfolio’s expected return and risk (as measured by variance or standard deviation)
64
Q

risk averse

A

to dislike risk and require compensation to assume additional risk

65
Q

efficient portfolios

A

those that offer the highest expected return for a given level of risk or offer the lowest risk for a given expected return

66
Q

The first step in the Markowitz analysis

A

to determine the expected return-risk combinations available to investors from a given set of securities

we allow the portfolio weights to vary

67
Q

the minimum variance frontier

A

the curve produced when determining the expected return-risk combinations available to investors from a given set of securities by allowing the portfolio weights to vary

68
Q

the attainable portfolios

A

portfolios that may be constructed by combining the underlying securities

those that lie on the minimum variance frontier

69
Q

the minimum variance portfolio (MVP)

A

a portfolio that lies on the efficient frontier and has the minimum amount of portfolio risk available from any possible combination of available securities

70
Q

The importance of the minimum variance portfolio MVP

A

portfolios lying below it, on the bottom segment of the minimum variance frontier, are dominated by portfolios on the upper segment

71
Q

the efficient frontier

A

the segment above the inefficient frontier in the minimum variance frontier

Rational, risk-averse investors will be interested in holding only those portfolios (which offer the highest expected return for their given level of risk)

72
Q

diversification

A

the process of investing funds across several securities, which results in reduced risk

73
Q

Random diversification or naïve diversification

A

the act of randomly diversifying without regard to relevant investment characteristics, such as company size, industry classification, and so on

basically, what I’ve been doing for 90% of the time

74
Q

unique (non-systematic) risk or diversifiable risk

A

The part of the total risk that is eliminated by diversification

75
Q

the market (systematic) risk or non-diversifiable risk

A

The part that is not eliminated by diversification

This portion of the risk cannot be eliminated because all the securities in the portfolio will be directly influenced by overall movements in the general market or economy

76
Q

formula for total risk

A

market (systematic) risk + unique (non-systematic) risk

non-diversifiable risk + diversifiable risk

77
Q

why evidence suggests the benefits of international diversification have been declining?

A

because global equity markets become more integrated