The company bases its activities on the most innovative research in the field of financial science, and applies empirically proven investment strategies.
The investment activity is divided into two main categories:
Long Investments

AlphaBeta's Long strategies are based on academic studies of anomalies in global markets. The strategies aim to generate excess returns over the benchmark index in each country we operate. In recent years, AlphaBeta has incorporated cutting edge AI strategies at the forefront of quantitative investment management.

Single Factor
Strategies that provide exposure to single anomalies in global markets.
Strategies that consider historical correlations between factor families to produce higher risk-adjusted returns through a combination of several individual factors.
AI Strategies
Innovative strategies based on artificial intelligence that enable dynamic weighting and timing of individual factors to achieve high Alpha.
Long-Short Investments

Investment strategies that make use of a wide variety of long and short financial instruments.

Market Neutral Strategies
Global long short strategies in ~20 markets based on anomalies documented in the academic literature.
AI Strategies
Using innovative strategies that integrate hundreds of factors and try to predict the expected return of stocks, long and short (IPCA, LASSO and more).
Statistical Arbitrage
Trading stock pairs with high historical correlation and similar factor characteristics whenever they drift out of their historical statistical relationships.
Global Macro
Investing in different types of assets through futures contracts based on momentum and macroeconomic variables.
An investment strategy that uses qualitative analysis combined with quantitative tools and artificial intelligence to select attractive stocks.
Event driven
Systematic strategies around merger and acquisition events (Merger Arbitrage). AlphaBeta uses a mathematical model to estimate the probability of merger/acquisition completion.
Long Short Volatility Strategies
Quantitative strategies that exploit risk premiums documented in academic research, driven by investors' hedging preferences.

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    The detailed data is only general information regarding the fund’s activities. Investment in the fund is based on a private offer and at the absolute and sole discretion of the general partner, in accordance with what is stated in the fund’s investment documents and the conditions detailed therein only, after an investor has received them, through his own means and personally and without any reliance on what is stated on this page or on the fund’s managers and representatives and signed on all investment documents in the fund.

    The above is not meant to be a substitute for tax advice, legal advice, or investment advice by a legally licensed investment advisor, who takes into account the unique needs and data of each person. Each investor is required to independently evaluate all aspects of investing in the fund. Rights in the fund are not and will not be offered to the public and this information does not constitute an offer to the public to invest in the fund. It is clarified and emphasized that the fund’s securities will be offered and sold to no more than 35 bidders/investors during the twelve months preceding any such offer or sale, together with eligible bidders and investors, who will be selected in the procedure established by the general partner according to various established parameters, such as a minimum investment amount , matching the investor to the fund’s investment horizons and the like. The above should not be seen as a commitment by the fund manager to obtain an excess return, or to avoid loss.

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