#77 Robert Almgren - A Deep Dive into Optimal Trade Execution in Fixed Income and Futures Using Quantitative Methods
Media Type |
audio
Categories Via RSS |
Business
Investing
Publication Date |
Oct 14, 2021
Episode Duration |
00:49:13

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.

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. In this episode 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.

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.

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