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A Quantitative Primer on Investments with R

A Quantitative Primer on Investments with R - Dale W. R. Rosenthal

A Quantitative Primer on Investments with R

Rosenthal, Dale W. R.: - Dale Rosenthal is the head partner of Q36, a quantitative algorithmic finance firm. He was previously an equity derivatives strategist at Long-Term Capital Management, a proprietary algorithmic trader and quantitative researcher at Morgan Stanley's Equity Trading Lab, a programmer/analyst at Goldman Sachs, and an assistant professor of finance at the University of Illinois at Chicago. He has also taught at the University of Chicago, the University of Notre Dame, and Renmin University of China; and, he was a visiting scholar at Peking University and a fellow at the Institute on Computational Economics. He has presented his work to central banks, regulators, and trading firms; had work published in top finance and econometric journals; been featured in national print, radio, and TV; and, testified before political bodies on financial issues. He holds a PhD in statistics from the University of Chicago and a Bachelors in electrical engineering from Cornell University. Since 2009 he has co-organized the R/Finance conference.
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Rosenthal, Dale W. R.: - Dale Rosenthal is the head partner of Q36, a quantitative algorithmic finance firm. He was previously an equity derivatives strategist at Long-Term Capital Management, a proprietary algorithmic trader and quantitative researcher at Morgan Stanley's Equity Trading Lab, a programmer/analyst at Goldman Sachs, and an assistant professor of finance at the University of Illinois at Chicago. He has also taught at the University of Chicago, the University of Notre Dame, and Renmin University of China; and, he was a visiting scholar at Peking University and a fellow at the Institute on Computational Economics. He has presented his work to central banks, regulators, and trading firms; had work published in top finance and econometric journals; been featured in national print, radio, and TV; and, testified before political bodies on financial issues. He holds a PhD in statistics from the University of Chicago and a Bachelors in electrical engineering from Cornell University. Since 2009 he has co-organized the R/Finance conference.
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