Robert Kissell, Ph.D., President
Dr. Robert Kissell is the founder of Kissell Research Group. He has over twenty years of professional experience specializing in quantitative modeling, statistical analysis, and risk management. He advises and consults financial institutions throughout the US and Europe on appropriate risk management, portfolio management techniques and best execution.
He is author of the leading industry book “Optimal Trading Strategies,” “The Science of Algorithmic Trading & Portfolio Management,” and “Multi-Asset Risk Management.” He has published numerous research papers on trading strategies, algorithmic trading, risk management, and best execution. His paper, “Dynamic Pre-Trade Models: Beyond the Black Box,” won institutional investors prestigious paper of the year award.
Dr. Kissell is an associate editor of Institutional Investor’s Journal of Trading and Journal of Index Investing, and he is a frequent speaker in the US and abroad.
Dr. Kissell has previously been an instructor for Cornell University in their graduate program for financial engineering.
Robert Kissell has worked with a number of Investment Banks and Investment Management companies, including UBS Securities where he was the Executive Director of Execution Strategies and Portfolio Analysis, and at JP Morgan where he was Executive Director and Head of Quantitative Trading Strategies. He was also previously at Citigroup/Smith Barney where he was Vice President, Quantitative Research, and at Instinet where he was Director, Trading Research. He began his career as an Energy Consulting specializing in energy pricing models, risk management, and optimization.
Dr. Kissell has a Ph.D. in Economics from Fordham University, a MS in Applied Mathematics from Hofstra University, and a MS in Business Management and a BS in Applied Mathematics & Statistics from Stony Brook University.
Who We Are
We are the premier global transaction cost analysis and market microstructure firm. We provide financial institutions quantitative analysis and insight into the current trading cost environment leading to improved portfolio construction, ultimately leading to the best execution. Our independent analysis measures overall execution quality and broker dealer/algorithm performance. We assist funds to determine which brokers and algorithms perform best in which type of situations, and where the fund ranks with regards to its peers. We utilize a fully transparent methodology.
Our expanded trading performance analysis includes all the regulatory requirements.