Lecture 5 Flashcards
What is portfolio construction?
Choosing and sizing the various trades to achieve a good trade-off between risk and expected return.
Which 6 elements constitute portfolio management?
1) Diversification.
2) Position and risk limits (at the level of securities, asset classes and overall portfolio).
3) Placing larger bets on higher conviction trades.
4) Sizing bets in terms of risk.
5) Correlations matter: for a long position - correlation with other long positions is bad, with short positions is good. Powerful to go long/short within each industry, diversify across industries.
6) Resize positions according to forward-looking risk and conviction.
What is a simple approach of portfolio optimisation?
Take large positions for securities with large expected returns, low variance, and low correlation to other long positions.
What are some challenges in portfolio optimisation?
Risk and expected returns are usually estimated with errors thus producing very noise and imprecise final outcomes. In other words, optimisations are hypersensitive and unstable. Real life portfolios are subject to many constraints and while these constraints can be added to the optimisation problem, they often distort the solution due to their non-linearities.
Optimal portfolios must account for transaction costs.
Why do we need portfolio optimisation?
It helps reduce people behavioural biases and improvisations.
What is value at risk?
It is the potential maximum loss of a stock/portfolio at a given confidence level over a fixed period of time.
What are the 2 drawbacks of the VaR?
It is not coherent.
It neglects whatever is over the quantile.
What is the conditional value at risk (expected shortfall)?
It is the expected loss given that the loss exceeds VaR. (From VaR until the end of the tail).
What are the drawbacks of CVaR?
It is difficult if not impossible to backtest.
When does Basel recommend to use VaR and CVaR?
VaR for backtesting and CVaR to compute risk.
What are 3 measure estimations of VaR and CVaR?
1) Gaussian method: parametrically.
2) Historical Simulation.
3) Monte Carlo Simulation.
What are stress loss and stress tests?
They simulate portfolio returns during various scenarios, such as significant past events (Lehman failure) or imagined future events (failure of a sovereign). They explore cases where you do not have enough data to estimate the risk accurately, as well as events that can play out over several dates. They aim to help investors gain discipline to survive what actually happens.
What is perspective risk management?
It has the goal of controlling risk before a bad event occurs. It can be done through diversification, placing risk limits and position limits (in terms of notional exposure).
What is reactive risk management?
It has the goal of saying what to do during a crisis. It is usually a form of a drawdown control. It seeks to limit losses as they evolve.
Describe drawdown management.
It is an active risk control where a hedge fund wants to minimise the risk that its DD will become worse than its maximum acceptable DD. DD is relative to the historical best price, so that it measures how much has been lost since the peak. In the instance where the current DD surpasses the max allowed one, the hedge fund should reduce risk. As strategy recovers from losses, risk can be increased again.