Naive Diversification Flashcards
(46 cards)
Who developed mean variance portfolio analysis?
Harry Markowitz(1952)
According to Rubenstein (2002) what did the development of mean variance analysis mean?
Markowitz’s(1952) work was the birth of modern finance.
Single period model
Investment decisions are made for one time period.
Investors Aim?
To maximize expected return for a given level of risk (measured by variance)
In the mean-variance framework, how is risk measured?
Risk is measured by variance or standard deviation of returns.
Efficient frontier
This is where the optimal portfolio lies and no other portfolio offers a higher return for the same risk.
How to determine the best combination of assets
Relies heavily on matrix calculations to determine best combination
Expected return of the portfolio
The weighted average of the expected returns of the two assets. See ipad for equation
Portfolio variance (risk)
Measures how volatile or risky the portfolio is. See ipad for equation.
Portfolio standard deviation
This gives the risk in the same units as returns. Making it easier to interpret.
What is covariance?
A statistical measure of how two variables are related to one another.
If positive covariance?
Means assets rise/fall together
If negative Covariance?
One rises, the other falls
How to measure covariance?
A standardized measure of covariance is the correlation.
Correlation (corr)
Is a standardized version of covariance (unit free so easier to interpret)
Where does correlation lie?
Between -1 and 1
-1 correlation
Means perfect negative correlation (great for diversification, maximum risk reduction)
+1 correlation
Means perfect positive correlation (no diversification so no risk reduction)
Zero correlation
no statistically significant linear relationship between two variables
What does low correlation mean?
The lower the correlation the larger the risk reduction benefits.
For N risky assets
When there are N assets you generalize the two-asset model. Now each asset has its own weight and expected return. See ipad.
What does the covariance matrix V contain?
Diagonal: variances of each asset
Off-diagonal: covariances between asset pairs
What is a naive diversification strategy?
Investing equally in all assets.
A naïve diversification strategy is when an investor does not use an optimal investment theory to build a portfolio.
Why is the 1/N strategy notable?
DeMiguel, Garlpappi, and Uppal (2009) argue its hard to outperform.
For the more N the risk of the portfolio declines