Baron Point principals and researchers regularly conduct studies on strategies, processes, or general topics concerning the marketplace. In this area of the website, you will find some pieces of works we found important and informative.
Some views expressed by other companies and researchers are not affiliated with Baron Point and represent their own expressed opinions and work product, and are not necessarily the opinions of Baron Point.
U.S. National Credit Union Administration Collateralized Structured Notes
NCUA Baron Bond DAFI™ Strategy
For this installment KPMG Cambodia Ltd. collaborates with Baron Point Capital Management Ltd. on securitization techniques, utilizing structured bonds and their positive application utilizing Aa1 High Investment-Grade Notes collateralized with share certificates (CDs) insured by the National Credit Union Administration (NCUA) for the principal protection. The NCUA is an American government-backed insurer of credit unions in the United States.
Structured Bonds in Cambodia: An Investment-Grade Solution
Global Bank DAFI™ Strategy
For this installment KPMG Cambodia Ltd. collaborates with Baron Point Capital Management Ltd. on securitization techniques, utilizing structured bonds and their positive application in the Cambodian debt capital markets for a Cambodia Securities Exchange (CSX) listing.
The Diversified Algorithmic Fixed Income Alternative Strategy Family™ (DAFI™)
Institutional Markets Report
For this installment, we introduce the reader to The Diversified Algorithmic Fixed Income Alternative Strategy Family™ (DAFI™). This is a Baron Point family of systematic absolute return strategies that are the culmination of Victor Sperandeo’s (Trader Vic) 55 years of legendary success in money management, garnered through every market cycle thought of, and others modeled by major Wall Street global investment banks. It is 100% rules-based, using only highly liquid futures index contracts listed and traded on U.S. regulated exchanges employing rules-based systematic operating procedures.
The Diversified Algorithmic Fixed Income Alternative Strategy Family™ (DAFI™)
Investment Process and Methodology
The Diversified Algorithmic Fixed Income Alternatives™ (“DAFI™”) methodology is a rules-based strategy comprised of a diversified portfolio of index components that when mixed have the potential to more accurately measure/reflect the net effects to the global economic environment than measuring a specific asset class alone. DAFI™ has the potential to perform like the Bloomberg US Aggregate Bond Index but without the credit risk associated with investment-grade bonds in the U.S.
The Diversified Algorithmic Fixed Income Alternative Strategy Family™ (DAFI™)
Quarterly Commentary
In this installment we provide the reader our quarterly commentary for the 3Q25 update, regarding The Diversified Algorithmic Fixed Income Alternative Strategy Family™ (DAFI™).
The Diversified Algorithmic Fixed Income Alternative Strategy Family™ (DAFI™)
Fact Sheet
The methodology is entirely rules-based and was designed to measure/reflect the global economic environment. The methodology combines several rules-based trend following systems applied to index futures and commodities together with “long” exposure to several asset classes (each a “Component”), which themselves measure/reflect certain objective market characteristics of a diverse group of historically non-correlated traditional and non-traditional asset classes.
These Components, in combination, provide secular long exposure to US Treasury, Stock, and Gold positions, and long or flat Oil with cyclical commodity long/short components (including energy, grains, precious metals, livestock, industrial metals and softs), and currencies that hedge and produce stable return enhancement. In combining these components at the exposure levels indicated in the DAFI™ Fact Sheet, we have attempted to create an objective systematic absolute return macro system that more accurately reflects the tendency of developed economies to expand than any other current benchmark can currently potentially capture.