This report was originally written as an industry white paper on Hedge Funds. This paper gives an overview to Hedge Funds, with a focus on risk management issues. We define and explain the general characteristics of Hedge Funds, their main investment strategies and the risk models employed. We address the problems in Hedge Fund modelling, survey current Hedge Funds available on the market and t...

Readers may make verbatim copies of this document for non-commercial purposes by any means, provided that this copyright notice appears on all such copies. Practitioner's Abstract The effectiveness of the Class III Milk futures market is analyzed in terms of the reduction in Value-at-Risk (VaR) for milk producers located in four regions: Wisconsin, Northeast, Florida and California. Constant he...

Hedge funds have been the subject of media attention in the United States ("U.S.") and around the world given the pronounced growth of the hedge fund sector in recent years and the comparative dearth of regulations faced by hedge fund managers. The first part of this paper provides an overview of the potential agency problems associated with managing a hedge fund and the associated rationales f...

ince the early 1990s, hedge funds have become an increasingly popular asset class. The amount invested globally in hedge funds rose from approximately $50 billion in 1990 to approximately $1 trillion by the end of 2004.1 And because these funds characteristically use substantial leverage, they play a far more important role in the global securities markets than the size of their net assets indi...

In this paper, we proposed a hedge detection method with average perceptron, which was used in the closed challenge in CoNLL-2010 Shared Task. There are two subtasks: (1) detecting uncertain sentences and (2) identifying the in-sentence scopes of hedge cues. We use the unified learning algorithm for both subtasks since that the hedge score of sentence can be decomposed into scores of the words,...

We test the hypothesis that capacity constraints significantly influence hedge fund families’ decision to open new funds. Hedge fund families face diseconomies of scale because of the non-scalability of their investment strategies. We propose that as the existing funds approach critical size, hedge fund families may prefer opening new funds rather than accepting new investment in the existing f...

This paper presents a system which adopts a standard sequence labeling technique for hedge detection and scope finding. For hedge detection, we formulate it as a hedge labeling problem, while for hedge scope finding, we use a two-step labeling strategy, one for hedge labeling and the other for scope finding. In particular, various kinds of syntactic dependencies are systemically exploited and e...

The fund manager always pronounces “the high returns from hedge fund are along with low risk. Is the performance of hedge fund manager really good? In this study, the market-timing ability and performance consistency on hedge fund manager are tested. The Sharpe ratio was employed to implement the consistency of performance for mutual fund in the previous literature. Due to the non-normally dist...

We assess the use of hedge phrases in “affective” NLG texts. A simple experiment suggests non-native speakers prefer texts that contain hedge phrases, but native speakers prefer texts that do not contain hedge phrases.

This paper re-examines the ability of the factor model approach to evaluate the performance of the Equity Hedge, Event Driven, Macro, Relative Value, and Funds of Hedge Funds styles. As Hedge Fund returns are not normally distributed, we assign a premium to higher-order comoments of Hedge Fund returns with the US market aggregate. In addition to traditional asset(conditioned by the levels of so...