Portfolio Selection in the Presence of Multiple Criteria (R.E. Steuer, Y. Qi, M. Hirschberger), Applications of Integer Programming to Financial Optimization (H. Konno, R. Yamamoto), Computing Mean/Downside Risk Frontiers: The Role of Ellipticity (A.D. Hall, S.E. Satchell), Exchange Traded Funds: History, Trading, and Research (L. Deville), Genetic Programming and Financial Trading: How Much About âEURoeWhat We KnowâEUR (S.H. Chen, T.W. Kuo, K.M. Hoi), Interest Rate Models: A Review (Ch. Ioannidis, R.H. Miao, J.M. Williams), Engineering a Generalized Neural Network Mapping of Volatility Spillovers in European Government Bond Markets (G.H. Dash, Jr., N. Kajiji), Estimating Parameters in a Pricing Model with State-Dependent Shocks (L. MacLean, Y. Zhao, G. Consigli, W. Ziemba), Controlling Currency Risk with Options or Forwards (N. Topaloglou, H. Vladimirou, S.A. Zenios), Asset Liability Management Techniques (K. Kosmidou, C. Zopounidis), Advanced Operations Research Techniques in Capital Budgeting (P.L. Kunsch), Financial Networks (A. Nagurney), The Choice of the Payment Method in Mergers and Acquisitions (A. Chevalier, E. Redor), An Application of Support Vector Machines in the Prediction of Acquisition Targets: Evidence from the EU Banking Sector (F. Pasiouras, C. Gaganis, S. Tanna, C. Zopounidis), Credit Rating Systems: Regulatory Framework and Comparative Evaluation of Existing Methods (D. Papageorgiou, M. Doumpos, C. Zopounidis, P.M. Pardalos)
This comprehensive handbook discusses the most recent advances within the field of financial engineering, focusing not only on the description of the existing areas in financial engineering research, but also on the new methodologies that have been developed for modeling and addressing financial engineering problems. The book is intended for financial engineers, researchers, applied mathematicians, and graduate students interested in real-world applications to financial engineering.
A comprehensive handbook including self-contained chapters
Emphasis on the operational tools that can be used for decision making
Chapters written by distinguished contributors in the financial engineering field
Special focus on methodologies that can be used to address financial engineering problems, i.e., statistical and econometric approaches, multiple criteria decision making, and fuzzy sets