David L. Olson is the James & H.K. Stuart Professor in MIS and Chancellor's Professor at the University of Nebraska. He has published research in over 160 refereed journal articles, primarily on the topic of multiple objective decision-making and information technology. He teaches in the management information systems, management science, and operations management areas. He has authored 18 books and is associate editor of Service Business and co-editor in chief of International Journal of Services Sciences. He is a member of the Decision Sciences Institute, the Institute for Operations Research and Management Sciences, and the Multiple Criteria Decision Making Society. He was a Lowry Mays endowed Professor at Texas A&M University from 1999 to 2001. He was named the Raymond E. Miles Distinguished Scholar award for 2002, and was a James C. and Rhonda Seacrest Fellow from 2005 to 2006. He was named Best Enterprise Information Systems Educator by IFIP in 2006. He is a Fellow of the Decision Sciences Institute.Desheng Dash Wu is an Affiliate Professor and Managing Director with the RiskLab, University of Toronto, Toronto, ON, Canada. He is a 100-plan Full Professor with the University of Science and Technology of China, Chinese Academy of Sciences, Beijing, China. He has published over 80 papers in refereed journals, such as Production and Operations Management, Decision Sciences, Risk Analysis, and the IEEE Transactions on Systems, Man, and Cybernetics. He is the editor of the Springer book series entitled Computational Risk Management. His current research interests include enterprise risk management in operations, performance evaluation in the financial industry, and decision sciences. Dr. Wu has served as an Associate Editor/Guest Editor for such journals as the IEEE Transactions on Systems, Man, and Cybernetics, Annals of Operations Research, Computers and Operations Research, the International Journal of Production Economics, and Omega.

• 1. Enterprise Risk Management 2. Enron 3. Financial Risk Management 4. The Real Estate Crash Of 2008 5. Financial Risk Forecast Using Machine Learning And Sentiment Analysis 6. On-Line Stock Forum Sentiment Analysis 7. DEA Risk Scoring Model Of Internet Stocks 8. Bank Credit Scoring 9. Credit Scoring Using Multiobjective Data Mining 10. Performance Evaluation And Risk Analysis Of Online Banking 11. Economic Perspective 12. British Petroleum Deepwater Horizon 13. Bank Efficiency Analysis 14. Catastrophe Bond And Risk Modeling 15. Bilevel Programming Merger Analysis In Banking 16. Sustainability And Risk In Globalization 17. Risk From Natural Disaster 18. Pricing Of Carbon Emission Exchange In The EU ETS 19. Volatility Forecasting Of The Crude Oil Market 20. Confucius Three-Stage Learning Risk Management

"Enterprise Risk Management in Finance provides a general overview of salient topics in risk management, offering along the way a primer and refresher of sorts on various metrics and techniques. ... Enterprise Risk Management in Finance can benefit the practitioner who knows how to use it. ... The beginner would do well to stick with the qualitative discussions, which can serve as useful points of departure for further study." (Marc L. Ross, Financial Analysts Journal, Vol. 11 (1), 2016)

David L. Olson is the James & H.K. Stuart Professor in MIS and Chancellor's Professor at the University of Nebraska. He has published research in over 160 refereed journal articles, primarily on the topic of multiple objective decision-making and information technology. He teaches in the management information systems, management science, and operations management areas. He has authored 18 books and is associate editor of Service Business and co-editor in chief of International Journal of Services Sciences. He is a member of the Decision Sciences Institute, the Institute for Operations Research and Management Sciences, and the Multiple Criteria Decision Making Society. He was a Lowry Mays endowed Professor at Texas A&M University from 1999 to 2001. He was named the Raymond E. Miles Distinguished Scholar award for 2002, and was a James C. and Rhonda Seacrest Fellow from 2005 to 2006. He was named Best Enterprise Information Systems Educator by IFIP in 2006. He is a Fellow of the Decision Sciences Institute.Desheng Dash Wu is an Affiliate Professor and Managing Director with the RiskLab, University of Toronto, Toronto, ON, Canada. He is a 100-plan Full Professor with the University of Science and Technology of China, Chinese Academy of Sciences, Beijing, China. He has published over 80 papers in refereed journals, such as Production and Operations Management, Decision Sciences, Risk Analysis, and the IEEE Transactions on Systems, Man, and Cybernetics. He is the editor of the Springer book series entitled Computational Risk Management. His current research interests include enterprise risk management in operations, performance evaluation in the financial industry, and decision sciences. Dr. Wu has served as an Associate Editor/Guest Editor for such journals as the IEEE Transactions on Systems, Man, and Cybernetics, Annals of Operations Research, Computers and Operations Research, the International Journal of Production Economics, and Omega.

• 1. Enterprise Risk Management 2. Enron 3. Financial Risk Management 4. The Real Estate Crash Of 2008 5. Financial Risk Forecast Using Machine Learning And Sentiment Analysis 6. On-Line Stock Forum Sentiment Analysis 7. DEA Risk Scoring Model Of Internet Stocks 8. Bank Credit Scoring 9. Credit Scoring Using Multiobjective Data Mining 10. Performance Evaluation And Risk Analysis Of Online Banking 11. Economic Perspective 12. British Petroleum Deepwater Horizon 13. Bank Efficiency Analysis 14. Catastrophe Bond And Risk Modeling 15. Bilevel Programming Merger Analysis In Banking 16. Sustainability And Risk In Globalization 17. Risk From Natural Disaster 18. Pricing Of Carbon Emission Exchange In The EU ETS 19. Volatility Forecasting Of The Crude Oil Market 20. Confucius Three-Stage Learning Risk Management

"Enterprise Risk Management in Finance provides a general overview of salient topics in risk management, offering along the way a primer and refresher of sorts on various metrics and techniques. ... Enterprise Risk Management in Finance can benefit the practitioner who knows how to use it. ... The beginner would do well to stick with the qualitative discussions, which can serve as useful points of departure for further study." (Marc L. Ross, Financial Analysts Journal, Vol. 11 (1), 2016)

David L. Olson is the James & H.K. Stuart Professor in MIS and Chancellor's Professor at the University of Nebraska. He has published research in over 160 refereed journal articles, primarily on the topic of multiple objective decision-making and information technology. He teaches in the management information systems, management science, and operations management areas. He has authored 18 books and is associate editor of Service Business and co-editor in chief of International Journal of Services Sciences. He is a member of the Decision Sciences Institute, the Institute for Operations Research and Management Sciences, and the Multiple Criteria Decision Making Society. He was a Lowry Mays endowed Professor at Texas A&M University from 1999 to 2001. He was named the Raymond E. Miles Distinguished Scholar award for 2002, and was a James C. and Rhonda Seacrest Fellow from 2005 to 2006. He was named Best Enterprise Information Systems Educator by IFIP in 2006. He is a Fellow of the Decision Sciences Institute.Desheng Dash Wu is an Affiliate Professor and Managing Director with the RiskLab, University of Toronto, Toronto, ON, Canada. He is a 100-plan Full Professor with the University of Science and Technology of China, Chinese Academy of Sciences, Beijing, China. He has published over 80 papers in refereed journals, such as Production and Operations Management, Decision Sciences, Risk Analysis, and the IEEE Transactions on Systems, Man, and Cybernetics. He is the editor of the Springer book series entitled Computational Risk Management. His current research interests include enterprise risk management in operations, performance evaluation in the financial industry, and decision sciences. Dr. Wu has served as an Associate Editor/Guest Editor for such journals as the IEEE Transactions on Systems, Man, and Cybernetics, Annals of Operations Research, Computers and Operations Research, the International Journal of Production Economics, and Omega.

• 1. Enterprise Risk Management 2. Enron 3. Financial Risk Management 4. The Real Estate Crash Of 2008 5. Financial Risk Forecast Using Machine Learning And Sentiment Analysis 6. On-Line Stock Forum Sentiment Analysis 7. DEA Risk Scoring Model Of Internet Stocks 8. Bank Credit Scoring 9. Credit Scoring Using Multiobjective Data Mining 10. Performance Evaluation And Risk Analysis Of Online Banking 11. Economic Perspective 12. British Petroleum Deepwater Horizon 13. Bank Efficiency Analysis 14. Catastrophe Bond And Risk Modeling 15. Bilevel Programming Merger Analysis In Banking 16. Sustainability And Risk In Globalization 17. Risk From Natural Disaster 18. Pricing Of Carbon Emission Exchange In The EU ETS 19. Volatility Forecasting Of The Crude Oil Market 20. Confucius Three-Stage Learning Risk Management

"Enterprise Risk Management in Finance provides a general overview of salient topics in risk management, offering along the way a primer and refresher of sorts on various metrics and techniques. ... Enterprise Risk Management in Finance can benefit the practitioner who knows how to use it. ... The beginner would do well to stick with the qualitative discussions, which can serve as useful points of departure for further study." (Marc L. Ross, Financial Analysts Journal, Vol. 11 (1), 2016)