Abstract
The maximum drawdown control strategy dynamically allocates wealth between cash and a risky portfolio, keeping losses below a chosen pre-defined level. This paper introduces variations of the strategy, namely the excess drawdown and the relative drawdown control strategies. The excess drawdown control is a more flexible strategy that can cope with common (re)allocation restrictions such as lock-up periods, cash bans or liquidity constraints through an implementation with a hedging overlay. The relative drawdown control strategy is adapted to contexts in which investors seek to limit benchmark underperformance instead of absolute losses. A formal proof that the loss-control objectives introduced can be insured using dynamic allocation is provided and the potential benefits and implementation aspects of the strategies are illustrated with examples.
Original language | English |
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Pages (from-to) | 209-231 |
Number of pages | 23 |
Journal | Algorithmic Finance |
Volume | 3 |
Issue number | 3-4 |
DOIs | |
State | Published - 2014 |
Externally published | Yes |
Keywords
- Benchmarks
- Risk management
- hedging overlay
- loss aversion
- portfolio insurance