Risk and Return Flashcards
Ways to measure Inflation
- CPI => Consumer Price Index, which measures the Purchasing Power of an average Citizen in the corresponding country
- The annual change in % of the CPI is called the Inflation
The nominal rate of return = real rate of return * expected Inflation
The Real Interest Rate
Equity Risk Premium (ERP)
- Average return of common stocks in the last 120 years: 11,5%
- Return of treasury bills (no risk alternative): 3,8%
- ERP = 11,5% - 3,8%= 7,7%
- It’s the premium, that can be earned by a long term investment in the stock market
- It’s earned by the willingness to take on stock market’s risks
- The EPR dependents on the historical data and the chosen time frame
Drivers of the ERP in different Countries
- Higher Risk in some countries (Italy)
- Higher Inflation in some countries
- Ex-Post some countries might have been more fortunate than been expected
- Valuation levels increases, based on dividend yield or M/B-ratio => Optimism => lower risk premium in the future
Measuring Risk, the Standart Deviation
- There is a difference between the expectation and the actual realization in any given year
- The return vary very much about the average over the last 100 years
- We can measure this spread with the standard deviation or the variance
how to calculate the variance a standard deviation of stocks
Variance:
Variance = 1/(n-1) Σ (rmt - rm)2
standart deviation is the square root of the variance
the bigger the variance, the higher the risk
reducing risk through diversification
- the higher the diversification, the lower the standard deviation
- that’s because a some events are good for one company and bad for another, if you own both companies, the effects will smooth each other out
specific risk vs market risks
specific risks:
- the risk one events not benefitting the company => can be solved with diversification
market risk:
- you cannot get rid of this, because it will affect all companies
Correlation Measures of different stocks
- Covariance:
measures how 2 variables change together
covariance > 0 they move together
covariance < 0 move in opposite ways
covariance = 1/(n-1) Σ (rmt1 - rm1)*(rmt2 - rm1)
- Correlation coefficient
It is similar to the Covariance, but it only moves between 1 and -1
Correlation coefficient = covariance / ( SD1 * SD2)
calculating the risks and return of a portfolio
Expected return:
the weighted average of the expected return of all individual stocks
Portfolio risk:
the variance of portfolios with equal parts of all stocks
variance =
1/N*average variancestocks + (1-1/N)* average covariance
the bigger N gets the variance of the Portfolio becomes the average of the covariance, because the first part of the term gets close to zero, while the second multiplication becomes 1
beta
- because a perfect diversified portfolio doesn’t have any specific risk only systematic or market risk.
- beta is the measurement of how stocks react to market risks
- beta=1 => the stock acts always similar to the market
- beta>>1 => the stock is very sensitive to the market, therefore you are getting a higher market risk
- beta is the slope of a regression model defined as: