Arialytics develops artificial intelligence datafeeds, quantitative investment strategies, model portfolios, and overlays. We employ a research process that is grounded in science and driven by technology.
AI Investment Research
Arialytics® is a quantitative investment research firm, founded on the idea that a rigorously scientific approach to investing provides the best means of reducing uncertainty and achieving superior outcomes. Guided by artificial intelligence, quantitative finance, and structured scientific processes, we apply large amounts of computation and data to deliver unique datafeeds and discover unique portfolio solutions.
NOVEL STRATEGIES and OVERLAYS
We develop novel allocation, trading, and overlay strategies for managers and allocators. This includes strategies optimized for complex risk preference functions and constraints.
RESEARCH and DISCOVERY
A systematic research approach emphasizes discovery and encourages the rapid formulation and testing of many investment ideas. It allows our researchers to quickly find robust, unbiased answers to research questions, and to develop further ideas. Through rapid collaboration, ideation, and testing, we make new connections and discoveries of value that contribute to the investment process.
We understand it is essential to maximize the unbiasedness of our research through carefully constructed analytic procedures. In doing so, we maximize transparency and minimize return distribution uncertainty of each investment strategy.
AI and MULTI-FACTOR INVESTING
Artificial intelligence (AI) is one tool in an expansive analytic toolbox. Multi-factor investing – basing investment decisions on risk factors and systematically harvesting risk premiums from many securities – offers another way to achieve return objectives and manage risks deliberately, transparently and understandably. We combine nearly ten years of experience with AI with economically motivated investing tools in a best-of-both-words approach to risk management and return uncertainty reduction.
SYSTEMATIC RISK MANAGEMENT
We understand that trading and asset management are actually systematic risk management and that returns are a result of timed exposure to risks selected by the strategy. Risk management is an essential building block in our process, not an add-on or a constraint to be considered or optimized ex-post. We strive to develop strategies with inherent risk management characteristics.