103-5 Types Of Investment Risk & Quantitative Investment Concepts Flashcards

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1
Q

Investment Risk

A

The uncertainty that an investment’s actual, or realized, return will be different from its expected return
2 most important strategies that assist investors in managing investment risk are diversification and asset allocation

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2
Q

Diversification

A

Structuring an individual’s investment portfolio to maximize risk/return
An investor should attempt to realize the greatest amount of return per unit of risk

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3
Q

Portfolio Diversification

A

Reduces unsystematic risk and enhances returns

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4
Q

Unsystematic risk

A

Aka diversifiable risk
Risk that affects only a particular company, country, or sector and its securities
Examples: business risk, financial risk, liquidity risk, marketability risk, default risk, political risk, tax risk, investment manager risk

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5
Q

Systematic Risk

A

Aka nondiversifiable risk
Reflects the uncertainty of returns associated w/ an investment in any type of asset
Generally considered inescapable
A portfolio manager hopes to minimize systematic risk

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6
Q

Purchasing Power Risk

A

The potential loss of the purchasing power of an investment due to inflation

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7
Q

Reinvestment Rate Risk

A

The risk that proceeds available for reinvestment must be reinvested at a lower rate of return than that of the investment vehicle that generated the proceeds
To eliminate: invest in zero-coupon bonds

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8
Q

Interest Rate Risk

A

The risk that the market price of an investment will decline as the result of changes in market IR

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9
Q

Market Risk

A

Another word for systematic risk
Market risk is the risk of the overall securities marketplace and is sometimes simply referred to as volatility
The more volatile the security’s return (as measured by beta), the greater its risk in comparison to a market index, such as the Standard & Poor’s 500 Index

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10
Q

Exchange Rate Risk

A

The risk that a change in the relationship between the value of the dollar and the value of the foreign currency during the period of investment will negatively affect the investor’s return

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11
Q

Beta

A

A relative measure of systematic risk or volatility
Overall market has a beta of +1.0
Beta > 1 = aggressive asset
Beta < 1 = defensive asset

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12
Q

Weighted Beta

A

Beta of a portfolio of securities

Meaning that the portfolio beta is calculated by weighting the individual asset betas and adding the results

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13
Q

Stochastic Modeling

A

A method of financial analysis that attempts to forecast how investment returns on different asset classes vary over time by using thousands of simulations to produce probability distributions for various outcomes

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14
Q

Monte Carlo Simulation (MCS)

A

Popular form of stochastic modeling

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15
Q

Sensitivity Analysis

A

Used to evaluate the risk associated w/ a given investment and assesses the impact of different variables on an investment’s return

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16
Q

Weighted Average Return

A

Represents the return for a set of securities, such as a portfolio, where each return is weighted by the proportion of the security to the entire group or portfolio

17
Q

Standard Deviation

A

Aka variance
An absolute measure of the variability of the actual investment returns around the average or mean of those returns (otherwise known as the expected return of the investment)
A return will occur 68% of the time within one SD of the mean

18
Q

Normal Probability Distribution

A

Perfectly symmetrical, characterized by a single peak in the center, which is the location of the arithmetic mean of the series of observations

19
Q

Mean

A

An absolute value and is the best indicator of central tendency of a distribution

20
Q

Median

A

The central value of observations arranged in order of lowest to highest

21
Q

Mode

A

The observation value w/ the greatest frequency

22
Q

Z-Statistic (z-score)

A

Measures the # of standard deviations a data value is from the mean (either above or below)
This score is obtained by subtracting the mean from a given data value and dividing this result by the standard deviation
If the data value is higher than the mean, then the z-score will be positive
If the data value is smaller than the mean, then the z-score will be negative

23
Q

Lognormal probability distribution

A

One in which the series of observations is skewed to the left of the arithmetic mean (i.e., the mean is to the right of the peak of the series)

24
Q

Skewness

A

Measures how far the actual outcomes of a probability distribution deviate from the arithmetic mean or the asymmetry of the distribution

25
Q

Positively skewed distributions

A

The median is below the mean (long tail is on positive side of the peak)
An investment w/ positive skewness subjects the investor to a greater # of returns below the mean

26
Q

Negatively skewed distributions

A

The median is above the mean (long tail is on negative side of the peak)
An investment exhibiting a high positive skewness may have a larger than avg number of positive price movements than an investment w/ low positive skewness

27
Q

Kurtosis

A

Measures the degree of peak in a distribution of returns
Measures the degree to which exceptional values (those much higher or lower than average) occur more frequently (high kurtosis) or less frequently (low kurtosis)

28
Q

Playkurtic Distribution

A

Less peaked distribution indicates that more returns w/ large deviations from the mean have occurred, or are expected to occur, than a normal distribution

29
Q

Leptokurtic Distribution

A

More peaked distribution indicates that more returns are clustered around than mean than w/ a normal distribution
Investors who want to minimize volatility in their portfolios would prefer a leptokurtic distribution

30
Q

Semivariance

A

Used to measure only those returns that are below the mean, w/ no consideration given to those above the mean
Semivariance is described as the average square deviation below the mean
The lower the semivariance of a security, the less likely the security will incur a substantial loss in value

31
Q

Covariance

A

Measures the extent to which 2 variables (the returns on investment assets) move together, either positively (together) or negatively (opposite)

32
Q

Correlation Coefficient

A

Provides similar information on the movement of two assets’ returns
This measures the strength of the straight-line or linear relationship between 2 variables
The overall range of values lies between -1.0 and +1.0
Perfectly correlated assets = +1.0
Perfectly negatively correlated assets = -1.0
No linear relationship = 0.0

33
Q

Standard deviation of a 2 asset portfolio

A

Pg 96-97

34
Q

Coefficient of Determination

A

R-Squared
The square of the correlation coefficient, describes the % of variability in one variable (e.g. a stock) that is explained by the changes in a 2nd varaible (e.g. the overall market) or the strength of the relationship between the 2 variables
Example: if the coefficient of determination between ABC stock and the market is 70%, then 70% of ABC’s movement in price may be explained by changes affecting the overall market
The higher the coefficient of determination of the stock or portfolio, the more the overall market is an appropriate benchmark for the measurement of investment risk