Even if arbitrage opportunities are found in a statistical sense, they might not be exploitable due to unexpected widening of spreads. This paper models such a case in the framework of a hedge fund. Specifically, Long Term Capital Management is presented as a case study. In particular, we calculate the likelihood of hedge fund failure and survival given different statistical arbitrage opportunities and hedge fund risk management decisions. Dynamic relationships between a hedge fund, dealer, and market (investor) are modeled. The model explores phenomenon when a fund manager who engages in arbitrage and uses high leverage might lose all his money before realizing positions at a profit. As assets go down in value, the firm has to post more co...
The rather short lifetimes of a majority of hedge funds and the reasons of their liquidation explain...
Hedge funds report performance information voluntarily. When they stop reporting they are transferre...
This paper investigates dynamically optimal risk-taking by an expected-utility maximizing manager of...
Even if arbitrage opportunities are found in a statistical sense, they might not be exploitable. Thi...
This paper, after giving a short introduction to hedge fund industry, studies arbitrage strategies. ...
We exploit detailed transaction and position data for a sample of long-short equity hedge funds to d...
Abstract We present a model where arbitrageurs operate on an asset market that can be hit by informa...
We present a model where arbitrageurs operate on an asset market that can be hit by information shoc...
Mimeo, 2009We present a model where arbitrageurs operate on an asset market that can be hit by infor...
Preliminary – Comments and suggestions are invited We develop a model of hedge fund returns, which r...
We develop a model of hedge fund returns, which reflect the contractual relationships between a hedg...
We develop an analytically tractable model of hedge fund leverage and valuation where the manager ma...
This article analyses the determinants of hedge fund failure. We investigate, by using a Probit mode...
This dissertation studies hedge funds\u27 characteristics, performance and risk, as well as their ma...
What makes futures hedge funds fail? The common ingredient is over betting and not being diversified...
The rather short lifetimes of a majority of hedge funds and the reasons of their liquidation explain...
Hedge funds report performance information voluntarily. When they stop reporting they are transferre...
This paper investigates dynamically optimal risk-taking by an expected-utility maximizing manager of...
Even if arbitrage opportunities are found in a statistical sense, they might not be exploitable. Thi...
This paper, after giving a short introduction to hedge fund industry, studies arbitrage strategies. ...
We exploit detailed transaction and position data for a sample of long-short equity hedge funds to d...
Abstract We present a model where arbitrageurs operate on an asset market that can be hit by informa...
We present a model where arbitrageurs operate on an asset market that can be hit by information shoc...
Mimeo, 2009We present a model where arbitrageurs operate on an asset market that can be hit by infor...
Preliminary – Comments and suggestions are invited We develop a model of hedge fund returns, which r...
We develop a model of hedge fund returns, which reflect the contractual relationships between a hedg...
We develop an analytically tractable model of hedge fund leverage and valuation where the manager ma...
This article analyses the determinants of hedge fund failure. We investigate, by using a Probit mode...
This dissertation studies hedge funds\u27 characteristics, performance and risk, as well as their ma...
What makes futures hedge funds fail? The common ingredient is over betting and not being diversified...
The rather short lifetimes of a majority of hedge funds and the reasons of their liquidation explain...
Hedge funds report performance information voluntarily. When they stop reporting they are transferre...
This paper investigates dynamically optimal risk-taking by an expected-utility maximizing manager of...