• AGAINST THE GODS: THE REMARKABLE STORY OF RISK by Peter Bernstein
"This book is a must for any serious student of risk management. It is an exciting journey beginning with the history of numbers and probability to the modern risk management tools. Along the way, readers learn the works of John von Neumann, Isaac Newton, Harry Markowitz, Fisher Black, William Sharpe, and Robert Merton among others."
• NETWORK FLOWS: THEORY, ALGORITHMS, AND APPLICATIONS by Ravindra K. Ahuja, et al.
"This is one of the best operations research books ever written. Network Flows is an extremely useful reference for professionals interested in optimization and graph theory. Theoretical foundation for many current supply chain management tools can be found here."
• INTEGER AND COMBINATORIAL OPTIMIZATION by Laurence Wolsey and George Nemhauser
"This is another extremely valuable reference for topics in operations research, particularly combinatorial optimization. Provides the mathematical foundations for tools that can be used to solve a rich variety of problems in resource allocation, logistics, scheduling, and production."
• INVESTMENT SCIENCE by David Luenberger
"This is one of my favorite finance books and a great reference for topics in financial engineering and computational finance. Dr. Luenberger's treatment of portfolio allocation and derivatives is one of the best I have read."
• VALUE AT RISK: THE NEW BENCHMARK FOR MANAGING FINANCIAL RISK by Philip Jorion
"This book is indeed an industry standard for financial risk management. Professor Jorion presents with amazing clarity the difficult topics of identifying and managing various risks, integrated risk management, and the interplay between technology and risk management."
• OPTIONS, FUTURES, AND OTHER DERIVATIVES by John Hull
"There is no other book like this on this subject. The coverage is clear and comprehensive and provides the reader a solid understanding of the theory and practice of risk management via derivatives. Perhaps the most widely used book in finance."
• THE ECONOMETRICS OF FINANCIAL MARKETS by John Y. Campbell, et al.
"This is an outstanding reference for quantitative tools in financial modeling. Beginning with the groundbreaking work of Harry Markowitz, there has been a tremendous growth in the use of quantitative tools in finance. In addition to traditional finance, industry professionals now require the application of mathematics, statistics, simulation, and decision sciences in their work place. The book brings many of these tools to the forefront of financial applications."
Dr. Bala Shetty is currently a Professor of Information and Operations Management at Texas A&M University. He has also held faculty positions at Southern Methodist University and the Madrid Business School in Spain. He is the recipient of the Alpha Kappa Psi Teaching Award twice for the College of Business Administration. Dr. Shetty received the MBA Association Distinguished Core Faculty Award in 1998 and 2000. He served as a Research Fellow at Princeton University in 1996.
Dr. Shetty's research interests include optimization and finance. He has published extensively in such premier journals as Operations Research, Decision Sciences, Naval Research Logistics, IIE Transactions, Networks, ORSA Journal on Computing, Annals of Operations Research, Journal of Operational Research, Computers and IE, Applied Mathematics and Computation, and the European Journal of Operational Research. He has served on the editorial boards of Operations Research, Decision Sciences, and Naval Research Logistics. He has also served twice as a guest editor for the Annals of Operations Research. Dr. Shetty is the recipient of the 1995 Outstanding Research Award for the Mays College and Graduate School of Business at Texas A&M.
Dr. Shetty was a member of the plenary panel on research at the Annual DSI meeting in Hawaii in 1995. He has served as Track Chair, Panel Chair, and Session Chair at numerous national meetings of the Institute for Operations Research and Management Science and Decision Sciences. Dr. Shetty currently serves as the Ph.D. Director for the Department of Information and Operations Management.