Introduction to Financial Markets Part 2 Flashcards
(12 cards)
Returns
Expected vs actual returns for asset A
What we can expect to earn from holding asset A over a given period.
The actual return could be higher or lower than this expectation
Could base expectation on average past returns or use more detailed info like the firm’s prospects
Calculating returns
when considering monetary returns, need to consider both dividend income and capital gains.
Dividend income could be zero
Capital gains could be negative
Summary statistics
These provide a summary of the characteristics of a data series, e.g the stock price for Apple over the last 10 years. They include the mean, standard deviation, highest/lowest value, correlation:
1. Mean: gives an average value over a time period
2. Variance and Standard deviation: measure of spread and volatility, hence provides a measure of risk.
3. Covariance and correlation: measures how different series are related, e.g. returns of different assets are related.
1 and 2 are important for ascertaining asset characteristics, 3 for portfolio diversification.
Calculating the standard deviation of returns
Variance is a measurement of spread, measuring the variability or volatility from the mean. This volatility provides an indication of the risk an investor may be exposed to when purchasing an asset.
A large variance indicates large deviations from the mean, while the opposite is true of a small variance.
Not enough to just look for average returns
The standard deviation is the square root of the variance.
Risk and return
- NPV and other valuation techniques need cost of capital
Risk-adjusted discount rate; required return
Determined by ‘the market’
Introduce risk into the valuation process
How to measure risk
How to estimate the required rate of return for a given level of risk
How risky are stocks and what have their returns been historically
Is the stock market ‘efficient’
How to measure the performance of portfolio managers
Forecasting financial Crises
Describing the Crisis using such a narration is not helpful for us to understand and forecast the next financial crisis.
Global Financial Crisis of 2007-08: A Narrative:
Both housing and stock markets boomed and collapsed
Banks who wrote many mortgage loans went bankrupt
Asset backed securities-backed by income yielding assets including loans, similar to bonds they pay a steady income
International cooperation to prevent this from spreading like a disease
Government bailout and money printing (Quantitative Easing!)
Probability theory
A crisis is a cumulation of a lot of little shocks that didn’t happen all at once. We want to think about the probability of those shocks occurring.
What properties should stock prices have in “Efficient” markets?
Random, unpredictable
Prices should react quickly, correctly and fully to news
Investors cannot earn abnormal, risk-adjusted returns (or at least it shouldn’t be easy)
Empirical properties of stock returns
What characterises stock returns
How volatile are stock returns?
Are returns predictable?
How does volatility change over time?
What types of stocks have the highest returns?
Systematic risk
market risk, non-diversifiable risk
Idiosyncratic risk
firm or asset specific, diversifiable risk