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BOREALIS G-CAF

BGA Global Country Allocation Framework (Borealis G-CAF) is our transparent and intuitive framework for classifying about 150 cross-sectional country-level anomalies (“factors”) across 9 “factor groups” that were gleaned from academic literature published over the last 30 years. Borealis aspires to be at the forefront of structuring and standardizing factors for country-based investing, and accordingly, G-CAF creates common parlance and characterizations around country-level index factors for creating feasible country allocation strategies for ETF sponsors, global allocation specialists, institutional money managers, portfolio managers, investment advisers, equity analysts, financial services companies, rating agencies, and financial data analytics firms.

Factors Web
Value Factor
Momentum Factor
Size Factor
Quality Factor
Price Risk Factor
Reversal Factor
Seasonality Factor
Macro-economic Factor, Macroeconomic factor
Liquidity Factor

9 Factor Groups

130 Factors

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Value factor

VALUE FACTORS

Countries with low valuation ratios outperform countries with high valuation ratios.

  • Dividend Yield (DY)
  • Sales-to-Price Ratio (SL/P)
  • Sales-to-EV Ratio (S/EV)
and many more...
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So how do we apply these factors?

We have applied these factors in our BGA Factor Data Engine and more. Explore our products today and see why Borealis aspires to be at the forefront in the field of country selection.

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