Discover How Bristol Gate Capital Partners Can Help You Invest Differently with Mike Capombassis & Poorya Ferdowsi (Ep. 3)
Ready to learn how Bristol Gate Capital Partners can help you (and your clients!) revolutionize your portfolios?
This week, Rich Miller sits down with the firm’s Mike Capombassis and Poorya Ferdowsi. Mike and Poorya shed light on everything you need to know about the firm and how it uses data science in combination with fundamental analysis to manage concentrated high-dividend growth portfolios for advisors, family offices, and institutions.
Mike and Poorya talk about Bristol Gate’s ideal client, the advantages of being based in Toronto, Canada, and the organization’s key differentiators, including their hybrid approach of combining quantitative models with human judgment.
Mike and Poorya discuss:
- Bristol Gate’s ideal client and the unique approach they take with them
- The advantages of being based in Canada’s biggest city, Toronto
- The role of artificial intelligence (AI) and machine learning in the company’s investment process
- The value of AI literacy and how they use AI to identify high dividend growers
- What you should know about the company’s four-pillar process
- How they found the right people for each seat at Bristol Gate
- And more!
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Connect with Mike Capombassis:
Connect with Poorya Ferdowsi:
About Mike Capombassis:
Mike Capombassis joined Bristol Gate Capital Partners in 2014, bringing two decades of experience with him, including 15 in New York with RBC and Bank of America Merrill Lynch. In his prior roles, he was Head and Managing Director of Global Equity Sales at Merrill Lynch Canada and U.S. Desk Head/Canadian Equity Sales at Merrill Lynch in New York. Mike brings a core belief and passion for dividend growth investing from his experience in the institutional equities business globally with both RBC and Merrill Lynch.
About Poorya Ferdowsi:
Poorya Ferdowsi has more than ten years of experience in analytical and numerical analysis, mathematical modeling, in-house code development, and client interfacing. He is highly experienced in designing numerical algorithms and computational methodologies in both research labs and industry. These methods have been proven to perform superior to the similar existing ones, the results of which have been published in various journal papers and presented at conferences. In his career, he has been addressing client needs by providing cost-effective and timely efficient solutions.
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