Performance evaluation in competitive REE models
AbstractOur basic premise is that fund managers performance is related to superior information about an asset payoff. We investigate the relationship between managerial skills and trading behavior within a two-period rational expectation equilibrium (REE) model where agents trade on private information in the first round, while a public signal arrives at the second date that makes traders revise their beliefs and retrade. The public signal can be related to the asset payoff, or to variables not related to fundamentals (noise), or both. We characterize the unique partially revealing REE and explore the drivers of price dynamics and trading behavior. Our main prediction is that good managers are contrarian traders, while bad managers are momentum traders when public news arrive to the market. Furthermore, the change in holdings of each type of trader is monotonic on the traders' skills. Based on these predictions, we propose new performance evaluation measures that rely on the manager's change in holdings around the arrival of public news rather than his past performance. A byproduct of our analysis is the proposal of a new protocol for performance evaluation and Due Diligence (DD) procedures.
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Bibliographic InfoPaper provided by Instituto Madrileño de Estudios Avanzados (IMDEA) Ciencias Sociales in its series Working Papers with number 2010-21.
Date of creation: 18 Oct 2010
Date of revision:
REE; performance evaluation; mutual fund; hedge funds; talent; informed traders; due diligence;
Find related papers by JEL classification:
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-10-23 (All new papers)
- NEP-CTA-2010-10-23 (Contract Theory & Applications)
- NEP-MST-2010-10-23 (Market Microstructure)
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