Performance Alpha is not generated smoothly over time. There are inevitable periods of both extreme outperformance and underperformance. I do not believe it is possible to predict when these periods will be. The problem is that excluding the most significant periods of outperformance can dramatically affect a clients performance relative to the fund's performance. Anecdotally and from popular papers by John Boggle, for example, Clients have a habit of leaving after shorter periods of underperformance, and joining after periods of outperformance leading to clients within a fund underperforming the fund itself. I would like to do
- a literature review both of what research has been done on this subject.
- What measures of destructive client behaviour have been proposed
- Pros and Cons of each measure
- Examples
- Behavioural Alpha
- Fund Return over period vs. Clients IRR
- Return if net contributions level over period vs. Clients IRR
- Fund Return over period vs. Clients IRR
- Period Invested
- Contribution Volatility Measure
- Pros and Cons of each measure
- Whether there are additional measures that could be used
- What can be done to assist clients to protect any alpha creation
- Have there been successful studies on how to do this?
- Have there been successful studies on how to do this?
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