Lessons 1 & 2 Flashcards
VAR (Value at Risk)
Measure used by some finance people to quantify risk of of an investment or of a portfolio and it’s quoted in units of dollars for a given probability and time horizon. For example, if it says lets’s say 1%, one-year value at risk of 10 million, it means that there is a 1% chance that the portfolio will lose 10 million in one year.
Dodd - Frank Act
Requires the Federal Reserve to do annual stress tests for non-bank financial institutions it supervises.
Stress Tests
- Method of assessing to firms or portfolios
- A simulation or analysis that assesses how a financial institution or instrument can handle a financial crisis
S&P 500
The Standard and Poor’s 500, or simply the S&P 500, is a stock market index tracking the stock performance of 500 of the largest companies listed on stock exchanges in the United States
Annualizing
Multiplying by 12
Beta of a stock
- Measure of how it relates to the stock market
- If beta is 1: asset goes up and down one for one in terms of returns with aggregate market
Systematic risk / Market risk vs Idiosyncratic risk
- Market risk: Risk of the whole market
- Idiosyncratic risk: Risk particular to a specific investment
Variance of a stock in terms of beta
variance of a stock = beta ^ 2 * variance of market return (systematic risk)
Plotting systematic and unsystematic risk
y = return on stock
x = return on market
m = beta
constant B is alpha
slope beta tells how much a particular stock co-moves with the market and thus a measure of stock systematic risk
Normal Distribution
Has a bell curved shape
Cauchy Distribution
Has a normal distribution but also considers the fat tail (outliers)
Central Limit Theorem
- Averages of a large number of independent indentically distributed shocks are aproximately normally distributed
- Can fail if underlying shocks are fat tailed
- Can fail if underlying shocks lose their independence
Covariance
Covariance measures the direction of the relationship between two variables. A positive covariance means that both variables tend to be high or low at the same time. A negative covariance means that when one variable is high, the other tends to be low.
How are risks determined for stocks
We should look at the covariance!
beta formula (wrt covariance)
beta = covariance (ri, r market) / var (market)