Portfolio Theory and CAPM Flashcards
Tangency portfoliosptimal risky asset portfolio
this is the risky asset
portfolio tangent to the capital allocation line (CAL).
the optimal risky portfolio will have the?
highest Sharpe ratio
Highest Sharpe ratio = slope of the CAL that is tangent to the efficient frontier
Optimal combined portfolio
his is the portfolio where an indifference curve is tangent to the CAL.
The capital market line (CML)
If every investor chooses the same risky asset portfolio, then the tangent portfolio must be the market portfolio that includes all available risky assets (i.e. equity, bonds, real estate etc).
– The capital allocation line (CAL) is now called the capital market line (CML)
The Capital Asset Pricing Model (CAPM) provides
a prediction of the relationship between the expected return on an asset and its risk
CAPM makes what assumptions
Markets are frictionless so trading has no impact on market
prices (e.g. prices will not change as the market is liquid).
– All investors have quadratic utility and are rational. In other
words all investors are mean-variance optimisers.
nvestors can differ in their degree of risk aversion.
– We consider a two period economy (e.g. now and later.)
– There are no informational asymmetries as investors have access to all the information
‘market risk’ aka ‘systematic risk’
Only remains in well-diversified portfolios. That is why ‘market risk’ is also called ‘non- diversifiable risk’.
‘stock-specific risk’ aka ‘idiosyncratic risk’
can be eliminated due to diversification (cancellation of asset-specific fluctuations). It is also called ‘diversifiable risk’
What is Beta?
Beta measures the sensitivity of the asset’s returns to
market-wide movements.
The goal of the CAPM is:
– identify the relevant risk that investors care about, and
– establish a fair rate of return for an asset given its (systematic) risk. Simply put, risk premium = amount of the relevant risk x ‘price’ or ‘premium’ per unit of the risk
Implementing modern portfolio theory (MPT) is difficult in a world of many assets
We need to know the expected return for each individual asset and the covariances between all the returns of all the individual assets.
– This is a monumental estimation task; If there are n assets then we need to make n(n+1) estimates.