Quantitative Approach

Empiric’s Quant Team has over 30 years of Quantitative Research Experience.

The standard for improvement is the Kaizen philosophy. Kaizen is a Japanese term meaning “change for the better” or “continuous improvement.” We program and maintain an ever-expanding database of investment elements that are based on sound academic and behavioral financial theory as well as the learned art that comes from experience. Factors are statistically tested for efficacy after transactional costs relative to a given industry by region. Our proprietary research is the standard utilized in managing our global quantitative equity portfolios for clients. We strive to produce consistent alpha within an allotted risk budget relative to a given benchmark.

We also believe that quantitative investing is best applied in the areas of the global market that have a large breadth in securities, which tend to be small capitalization indexes. Our quantitative strategies will be diversified within a predetermined active risk budget.


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 QEVplus process.

The first step to Empiric’s QEVplus alpha score is to rank securities within a given index based on fundamental metrics for Quality, Efficiency and Valuation relative to industry peers in a region. The QEV score is plus catalyst factors where appropriate. Every month, stocks in a given universe are ranked based on their alpha score.

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 QEVplus 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, stocks in a given Industry by Region are scored and ranked based on their weighted QEV Plus score.
Quality Score (Q)
Efficiency Score (E)
Valuation Score (V)
Catalyst Score (Plus)

Risk Model

Limit Total Active Risk to a predetermined budget to limit active exposure variants inherent in global equity investing.
Common Style Factors
Region & Country
And more …


Portfolio construction is the intersection between a stock’s anticipated alpha as well as its contribution to portfolio risk.
Alpha Model Score
Risk Model Score

Shareholder Proxy Engagement

Intention in actions. We maintain and implement a proxy policy that ensures that ESG considerations are satisfied, and will
vote against management or board recommendations when appropriate.


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