Our Process
Quality of Information
Empiric Institutional specializes in factor research and in the portfolio management of systematically-driven global equity portfolios.
Investors are bombarded with information from a tremendous number of sources. It is extremely difficult to filter, categorize, analyze, correlate, and test information to make an informed, unemotional decision without utilizing a systematic time-tested approach to investing. We maintain a high standard when deciding providers to leverage for our quant infrastructure tools and data. Quality data is key to our process.
Identify & Embrace Appropriate Level of Risk
Identifying and adjusting for the appropriate risk level is equally important. Individuals and professional investors often take on an inappropriate level of risk, or overlook it all together. It is easy to identify this mistake in hindsight, but far more difficult to apply the appropriate levels of risk on a regular basis. Empiric has developed several computer models that take into account numerous risk factors. Each risk factor has a given weight which is compared to the portfolio and the universe of stocks in a given benchmark.
The second step to Empiric’s alpha score is to optimize. This entails measuring the anticipated risk contribution that a position exposes the overall portfolio to relative to a predetermined risk allowance at the portfolio level. Each process comes with inherent biases, as systematic investors we can limit our exposure to common factor, country, currency, industry, sector, and size risk to focus our tracking error exposure primarily to stock selection.
Alpha Model
Using a multi-variant stock ranking system, developed & enhanced by our research team, stocks in a given region are scored and ranked relative to their peers in a given industry group.
Variants
Quality Score
Efficiency Score
Valuation Score
Catalyst Score
Risk Model
Remove unintended active risk to limit market noise and focus on stock selection.
Variants
Common Factor Risk
Region & Country Risk
Currency Risk
Sector Risk
Industry Risk
And more …
Optimization
Portfolio construction is intersection between a stock’s anticipated alpha as well as its contribution to portfolio risk.
Variants
Alpha Model Score
Risk Model Score
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