The Machine Learning Center at Georgia Tech presents a seminar by Sudheer Chava from the Scheller College of Business at Georgia Tech. His research interests are in Credit Risk, Banking and Corporate Finance. The event will be held in Marcus-Nanotechnology Room 1116-1118 from 2:00 - 3:00 p.m. and is open to the public.
Big Data, Analytics and Machine Learning in Finance
Financial Markets and trading have changed dramatically over the past few years with the advent of algorithmic and high frequency trading. Billions of stocks, bonds, derivatives and other financial securities are bought and sold in the financial markets every day with some of the securities held only for a few milliseconds. Apart from trading, the explosion in the availability of structured and unstructured data has opened up many applications for data analytics and machine learning in the finance domain. Applications include: development of trading strategies, Fintech, Fraud detection, Compliance, Credit Risk, Risk Management, RegTech, analyzing and understanding social media and speech of executives. In addition, applying ML models in finance raises a number of interesting questions about fairness, ethics and financial inclusion. Apart from prediction, establishing causality and explainable ML are of major interest in finance. In this talk, I will give an overview of my recent research in these areas and discuss some resources and collaboration possibilities at Georgia Tech.
Sudheer Chava received his Ph.D. from Cornell University in 2003. Prior to that he has an MBA degree from Indian Institute of Management – Bangalore and worked as a fixed income analyst at a leading investment bank in India. He has held academic positions at University of Houston and Texas A&M University before joining Georgia Tech in 2010.
Dr. Chava has taught a variety of courses at the undergraduate and master’s level including Derivatives, Risk Management, Valuation, Cases in Financial Crisis and Credit Risk Analysis. He has also taught both theoretical and empirical finance courses at the doctoral level.
Dr. Chava’s research interests are in Credit Risk, Banking and Corporate Finance. He has published extensively in all the top journals in Finance including Journal of Finance, Journal of Financial Economics, and Review of Financial Studies. His research has won a Ross award for the best paper published in Finance Research Letters in 2008, was a finalist for Brattle Prize for the best paper published in Journal of Finance in 2008 and was nominated for the Goldman Sachs award for the best paper for published in Review of Finance during 2004. Dr. Chava is the recipient of multiple external research grants such as FDIC-CFR Fellowship, Morgan Stanley Research grant and Financial Service Exchange Research grant. His papers have been presented at numerous finance conferences such as AFA, WFA, EFA, FDIC and Federal Reserve Banks and at many universities in the U.S. and abroad.