Quantitative investment firm, Versor Investments, launches machine learning-based global equity strategy.

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Quantitative investment management firm Versor Investments has unveiled a machine learning-based global equity strategy called the Versor Equity Prism Strategy. The strategy invests in single name stocks and equity index futures in a market-neutral way across the globe. Versor has been employing technologies such as machine learning and artificial intelligence to identify investment opportunities since its founding in 2014, but the new strategy places an increased emphasis on these technologies. It has been incubated with partner capital since January 2022.

The Versor Macro Sonar strategy, which is also being incubated with partner capital, invests in futures and forwards across commodities, currencies, fixed income, and equity indices. It utilizes non-directional and directional signals to take advantage of the existing macroeconomic situation.

According to Deepak Gurnani, Versor’s founder and managing partner, the firm has always been dedicated to exploring new ideas and technologies, and launching the Equity Prism is a natural continuation of that business. Versor is known for its research-intensive approach to investment management and has released over 30 white papers covering various themes such as tactical asset allocation and the state of value investing.

Versor’s goal is to deliver liquid alternatives that are uncorrelated to both institutional and retail investors. The firm has two primary areas of business: hedge funds and risk premia. Based in New York, Versor’s leadership has over 20 years of experience in quantitative investing. For more information, visit their website at versorinvest.com.

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Frequently Asked Questions (FAQs) Related to the Above News

What is Versor Investments?

Versor Investments is a quantitative investment management firm that specializes in developing and managing liquid alternative investment strategies.

What is the Versor Equity Prism Strategy?

The Versor Equity Prism Strategy is a machine learning-based global equity strategy that invests in single name stocks and equity index futures in a market-neutral way across the globe.

What is the Versor Macro Sonar strategy?

The Versor Macro Sonar strategy is a liquid alternative investment strategy that invests in futures and forwards across commodities, currencies, fixed income, and equity indices. It utilizes non-directional and directional signals to take advantage of the existing macroeconomic situation.

What technologies does Versor Investments employ to identify investment opportunities?

Versor Investments employs technologies such as machine learning and artificial intelligence to identify investment opportunities.

What is Versor's approach to investment management?

Versor is known for its research-intensive approach to investment management, and has released over 30 white papers covering various themes such as tactical asset allocation and the state of value investing.

What is Versor's goal?

Versor's goal is to deliver liquid alternatives that are uncorrelated to both institutional and retail investors.

What are Versor's primary areas of business?

Versor's primary areas of business are hedge funds and risk premia.

Where is Versor Investments based?

Versor Investments is based in New York.

How much experience does Versor's leadership have in quantitative investing?

Versor's leadership has over 20 years of experience in quantitative investing.

Where can I find more information about Versor Investments?

More information about Versor Investments can be found on their website at versorinvest.com.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

Kunal Joshi
Kunal Joshi
Meet Kunal, our insightful writer and manager for the Machine Learning category. Kunal's expertise in machine learning algorithms and applications allows him to provide a deep understanding of this dynamic field. Through his articles, he explores the latest trends, algorithms, and real-world applications of machine learning, making it accessible to all.

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