HFRI EH: Equity Market Neutral Index
Equity Market Neutral strategies employ sophisticated quantitative techniques of analyzing price data to as certain information about future price movement and relationships between securities, select securities for purchase and sale. These can include both Factor-based and Statistical Arbitrage/Trading strategies. Factor-based investment strategies include strategies in which the investment thesis is predicated on the systematic analysis of common relationships between securities. In many but not all cases, portfolios are constructed to be neutral to one or multiple variables, such as broader equity markets in dollar or beta terms, and leverage is frequently employed to enhance the return profile of the positions identified. Statistical Arbitrage/Trading strategies consist of strategies in which the investment thesis is predicated on exploiting pricing anomalies which may occur as a function of expected mean reversion inherent in security prices; high frequency techniques may be employed and trading strategies may also be employed on the basis on technical analysis or opportunistically to exploit new information the investment manager believes has not been fully, completely or accurately discounted into current security prices. Equity Market Neutral Strategies typically maintain characteristic net equity market exposure no greater than 10% long or short.
S&P 500 Index
The Standard & Poor's 500 Index (S&P 500) is an index of 500 stocks seen as a leading indicator of U.S. equities and a reflection of the performance of the large cap universe, made up of companies selected by economists. The S&P 500 is a market value weighted index and one of the common benchmarks for the U.S. stock market; other S&P indexes include small cap companies with market capitalization between $300 million and $2 billion, and an index of mid cap companies. Investment products based on the S&P 500 include index funds and exchange-traded funds are available to investors.
Use of Third-Party Data
Some information contained herein is based on data received from third parties that we consider reliable and is accurate to the best of Crestline’s knowledge. However, Crestline has not independently verified the information and does not otherwise give any warranty as to the truth, accuracy, or completeness of such third-party data, and it should not be relied upon as such. The material is not intended to be a formal research report and nothing in this presentation should be interpreted to state or imply that past results are an indication of future performance.