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#77 Robert Almgren - A Deep Dive into Optimal Trade Execution in Fixed Income and Futures Using Quantitative Methods

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Content provided by Andreas von Hirschhausen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Andreas von Hirschhausen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Robert Almgren is the Chief Scientist and co-founder of Quantitative Brokers. Rob was previously a professor of mathematics at the University of Chicago, the University of Toronto, and currently teaches High-Frequency Markets at Princeton University. Prior to QB, Robert was a Managing Director and Head of Quantitative Strategies in the Electronic Trading Services group at Bank of America until 2008. Robert Almgren completed a B.S. in physics and a B.S. in mathematics at MIT, then an M.S. in Applied Mathematics at Harvard University. He holds a Ph.D. in Applied and Computational Mathematics from Princeton University.

In this episode we nerd out a bit: We get deep into the weeds of optimal trade execution, particularly in Fixed Income and Futures markets. We talk about the history, theory, and practice of minimizing trading costs by minimizing slippage in fixed income markets. We learn why trade execution is an important topic to think about, how to measure optimal trade execution and what research is done to further improve it. We dive into the ideas of the quantitative models and methods used and get some tips on where to learn more about the increasing quantification of financial markets.

  continue reading

112 episodes

Artwork
iconShare
 
Manage episode 304580024 series 1320794
Content provided by Andreas von Hirschhausen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Andreas von Hirschhausen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Robert Almgren is the Chief Scientist and co-founder of Quantitative Brokers. Rob was previously a professor of mathematics at the University of Chicago, the University of Toronto, and currently teaches High-Frequency Markets at Princeton University. Prior to QB, Robert was a Managing Director and Head of Quantitative Strategies in the Electronic Trading Services group at Bank of America until 2008. Robert Almgren completed a B.S. in physics and a B.S. in mathematics at MIT, then an M.S. in Applied Mathematics at Harvard University. He holds a Ph.D. in Applied and Computational Mathematics from Princeton University.

In this episode we nerd out a bit: We get deep into the weeds of optimal trade execution, particularly in Fixed Income and Futures markets. We talk about the history, theory, and practice of minimizing trading costs by minimizing slippage in fixed income markets. We learn why trade execution is an important topic to think about, how to measure optimal trade execution and what research is done to further improve it. We dive into the ideas of the quantitative models and methods used and get some tips on where to learn more about the increasing quantification of financial markets.

  continue reading

112 episodes

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