Top Traders Unplugged

SI269: Is the Big Bond Short Over? ft. Katy Kaminski

11.12.2023 - By Niels Kaastrup-LarsenPlay

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Today’s conversation with Katy Kaminiski is all about change. We discuss what has been the driver of the changing economic environment that we experience and how changing interest rates affect trend followers, why Katy believes we need a repricing in long term yields and how the yield curve is a key factor in trend followers profitability. Katy also explains her outlook for the markets, how you build portfolios in the current economic environment 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] And 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 Katy on LinkedIn. Episode TimeStamps: 02:22 - What has been on Katy's radar recently? 04:24 - A precursor for the conversation 05:21 - Industry performance update 07:19 - Katy's trend following perspective 11:40 - Discussing Katy's paper, "The Short of Shorting Bonds" 16:06 - The results of the paper 21:12 - Why the shape of the yield curve makes a difference 24:52 - Why trend followers make more money when the yield curve is inverted 26:59 - Does higher rates always mean you have to be short bonds? 33:15 - Do you earn interest on the money that are put up for margin? 35:12 - Where are we in the markets right now? 37:26 - The forecasting behaviour is difficult to change 42:52 - Different people, different perspectives 46:39 - Doing what happens next 48:12 - Best practices when analyzing the data 54:54...

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