Ch 21 - Portfolio Management (2) Flashcards
Managers will often face a conflict between:
Reducing risk (by matching)
Enhancing investment returns (by mismatching)
The investment policy therefore needs to reflect the extent to which the risks of lower stability and security are to be taken on in order to aim for higher returns.
This will typically involve a two-stage process:
Establishing the investment strategy (i.e. The strategic benchmark)
The tactical implementation of this strategy by the selection of one or more managers and a decision on the appropriate level of risk that these managers should take relative to the strategic benchmark
The risks involved in portfolio construction may include:
Strategic risk
Active risk
Structural risk
Overall risk
Strategic risk
Risk of the strategic benchmark relative to the liabilities
i.e. Strategic benchmark vs the bested matched position for liabilities
Extent of this risk will depend on risk appetite and available funds
Active risk
Risk taken by the manager relative to his given benchmark
Measured by standard deviation of the active (or relative) return or by tracking error
Active return
Return relative to his particular given strategic benchmark
Structural risk
Where the aggregate of the individual manager benchmarks does not equal the total benchmark for the fund
Small funds are more exposed to this risk
Multifactor models can be used:
Actively
To estimate the appropriate required return on a share in order to determine if it is cheap or dear
Passively
To identify a suitable portfolio of shares to match liabilities or to replicate an index (via sampling)
Practical Problems with multifactor models
Identifying the factors that affect the expected return on any particular security
Estimating the relationships between those factors and the expected returns. The usual problems associated with time series estimation will all apply here:
Random variation
The fact that the relationships may change over time
Quantitative Analysis
Use of modern mathematical techniques to aid stock and sector select
Technical Analysis
attempt to predict future price (and/or yield) movements from the study of actual price (and/or yield) history and trading volume.
Based on investor psychology, such as behavioural finance and the view that history will repeat itself.
It relies on markets being inefficient.
3 main forms of TA are:
Chartism
Mechanical trading rules
Relative strength analysis
Chartism
Examining the charts of past market data (try to identify patterns or trends in the behaviour of a chart of a share price or market index)
Mechanical trading rules
Whereby trading signals are given by set price movements
Subjective element of Chartism is removed here
Relative strength analysis
Examines the performance of a share relative to the market as a whole or its own sub-sector
Two approaches:
Mean reversion
Momentum