Using a complete set of the SEC filing information on hedge funds (Form ADV) and the TASS data, we develop a quantitative model called the ω-Score to measure hedge fund operational risk. The ω-Score is related to conflict of interest issues, concentrated ownership, and reduced leverage in the ADV data. With a statistical methodology, we further relate the ω-Score to readily available information such as fund performance, volatility, size, age, and fee structures. Finally, we demonstrate that this risk score can be used to effectively predict fund failures in the future
This dissertation investigates the performance of hedge funds and actively managed U.S. equity mutua...
The studies of hedge fund performance are hindered by the lack of quality returns data and the compl...
In this study, we propose a set of covariates that exploit information content of hedge funds’ relat...
Using a complete set of the SEC filing information on hedge funds (Form ADV) and the TASS data, we d...
Mandatory disclosure is a regulatory tool intended to allow market participants to assess operationa...
Hedge fund industry has grown to be a key player in the financial markets. Just as large investment ...
We suggest an empirical model to analyze the investment style of individual hedge funds and funds of...
In the past two decades, the number of hedge funds and the amount of assets being managed by hedge f...
The dramatic increase in the number of hedge funds and the "institutionalization" of the industry ov...
Recent events over the last year with regards to the US sub-prime crisis and the collapse of three m...
The goal of this master’s thesis is to understand the performance implications of hedge fund’s tail ...
© 2016 Elsevier Inc. This paper summarizes the literature on hedge funds (HFs) developed over the la...
In this paper we studied the relationship between a Hedge Fund’s amount of assets under management a...
We use a comprehensive dataset of FundsofFunds (FoFs) to investigate performance, risk and capital f...
We investigate hedge fund demographics using data from the Alternative Asset Center (AAC) and then h...
This dissertation investigates the performance of hedge funds and actively managed U.S. equity mutua...
The studies of hedge fund performance are hindered by the lack of quality returns data and the compl...
In this study, we propose a set of covariates that exploit information content of hedge funds’ relat...
Using a complete set of the SEC filing information on hedge funds (Form ADV) and the TASS data, we d...
Mandatory disclosure is a regulatory tool intended to allow market participants to assess operationa...
Hedge fund industry has grown to be a key player in the financial markets. Just as large investment ...
We suggest an empirical model to analyze the investment style of individual hedge funds and funds of...
In the past two decades, the number of hedge funds and the amount of assets being managed by hedge f...
The dramatic increase in the number of hedge funds and the "institutionalization" of the industry ov...
Recent events over the last year with regards to the US sub-prime crisis and the collapse of three m...
The goal of this master’s thesis is to understand the performance implications of hedge fund’s tail ...
© 2016 Elsevier Inc. This paper summarizes the literature on hedge funds (HFs) developed over the la...
In this paper we studied the relationship between a Hedge Fund’s amount of assets under management a...
We use a comprehensive dataset of FundsofFunds (FoFs) to investigate performance, risk and capital f...
We investigate hedge fund demographics using data from the Alternative Asset Center (AAC) and then h...
This dissertation investigates the performance of hedge funds and actively managed U.S. equity mutua...
The studies of hedge fund performance are hindered by the lack of quality returns data and the compl...
In this study, we propose a set of covariates that exploit information content of hedge funds’ relat...