103-5 Types Of Investment Risk & Quantitative Investment Concepts Flashcards
Investment Risk
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
Diversification
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
Portfolio Diversification
Reduces unsystematic risk and enhances returns
Unsystematic risk
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
Systematic Risk
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
Purchasing Power Risk
The potential loss of the purchasing power of an investment due to inflation
Reinvestment Rate Risk
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
Interest Rate Risk
The risk that the market price of an investment will decline as the result of changes in market IR
Market Risk
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
Exchange Rate Risk
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
Beta
A relative measure of systematic risk or volatility
Overall market has a beta of +1.0
Beta > 1 = aggressive asset
Beta < 1 = defensive asset
Weighted Beta
Beta of a portfolio of securities
Meaning that the portfolio beta is calculated by weighting the individual asset betas and adding the results
Stochastic Modeling
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
Monte Carlo Simulation (MCS)
Popular form of stochastic modeling
Sensitivity Analysis
Used to evaluate the risk associated w/ a given investment and assesses the impact of different variables on an investment’s return
Weighted Average Return
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
Standard Deviation
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
Normal Probability Distribution
Perfectly symmetrical, characterized by a single peak in the center, which is the location of the arithmetic mean of the series of observations
Mean
An absolute value and is the best indicator of central tendency of a distribution
Median
The central value of observations arranged in order of lowest to highest
Mode
The observation value w/ the greatest frequency
Z-Statistic (z-score)
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
Lognormal probability distribution
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)
Skewness
Measures how far the actual outcomes of a probability distribution deviate from the arithmetic mean or the asymmetry of the distribution