TTU133: How to deliver Convexity ft. Nigol Koulajian & Mike Harris of Quest Partners
发布时间 2023-02-20 13:00:00 来源
摘要
Today, we are joined by Nigol Koulajian and Mike Harris from Quest Partners, for a conversation on how they use a research driven, quantitative and systematic trading approach to generate alpha. We discuss how they generate convexity and why they have chosen to focus on short-term time frames, why they believe some investors have become too focused on Sharpe and how they use trend following and crowding in their process. We also discuss how they use an adaptive learning technique to understand markets whilst being aware of the dangers of machine learning, the power and importance of data and the potential risks of replicating managers, why liquidity is dynamic and very unpredictable and much more.----------EXCEPTIONAL RESOURCE: Find Out How to Build a Safer & Better Performing Portfolio using this FREE NEW Portfolio Builder Tool----Follow Niels on Twitter, LinkedIn, YouTube or via the TTU website.IT’s TRUE ? – most CIO’s read 50+ books each year – get your FREE copy of the Ultimate Guide to the Best Investment Books ever written here.And you can get a free copy of my latest book “The Many Flavors of Trend Following” here.Learn more about the Trend Barometer here.Send your questions to [email protected] please share this episode with a like-minded friend and leave an honest Rating & Review on iTunes or Spotify so more people can discover the podcast.Follow Alan on Twitter.Learn more about Quest Partners.Episode Timestamps:02:08 - Introduction to Quest Partners 03:34 - Their investment philosophy 07:35 - A structural change in markets 15:04 - Too focused on Sharpe? 20:55 - Creating momentum 24:18 - A move toward multi-strat? 37:35 - Managing the crowd 39:13 - The persistency of market environments 41:45 - A type of machine learning? 44:12 - The source of opportunities 48:34 - The "D" word 53:30 - Thoughts on CTA replication 01:00:12 - Being a short term manager 01:02:30 - Liquidity issues and changes in markets...
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