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" In light of the recent financial crisis in Europe and the increasing importance of sustainability in construction, insights and practical guidance for financial evaluation and risk management of infrastructure projects are extremely valuable for a well-planned future. It can make a massive difference in the outcomes of construction projects that have access to the "future economic benefits" approach to asset valuation as a correct asset management accounting to prevent over and underestimation of investments and repair debt.The Financial Evaluation and Risk Management of Infrastructure Projects is a comprehensive guide for professionals and students in the fields of construction and investment, as well as financial and investment institutions. It emphasizes the importance the life cycle cost of infrastructure projects and cost-benefit analysis in optimizing investments, as well as highlighting the need for cost-effective and sustainable infrastructure projects that incorporate "value for money" construction solutions while considering all risks involved. This book is ideal for professionals in construction, investment institutions, and financial and investment institutions, as well as for students in construction and investments. With the recent financial crisis in Europe and the growing focus on sustainability in construction, this guide offers practical insights and guidance for financial evaluation and risk management of infrastructure projects."--

This book presents a broad range of innovative applications and case studies in all areas of management and engineering, including public administration, finance, marketing, engineering, transportation, and energy systems. It addresses issues related to problem structuring, preference modeling, and model construction, presenting a framework that provides clear decision-making support in practice. In addition, it includes hybrid and integrated techniques combining multiple criteria decision making (MCDM) with other analytical methods. The book reflects the growing impact of MCDM in the field of management science and operations research. Building on recent and established theoretical advances and presenting their applications in specific domains, it offers a comprehensive resource for researchers, graduate students and professionals alike.

Preface About the Editors Section I: Supervisory Risk Management Chapter 1: Measuring Systemic Risk: Structural ApproachesRaimund M. Kovacevic and Georg Ch. Pflug Chapter 2: Supervisory Requirements and Expectations for Portfolio-Level Counterparty Credit Risk Measurement and Management Michael Jacobs Jr. Chapter 3: Nonperforming Loans in the Bank Production TechnologyHirofumi Fukuyama and William L. Weber Section II: Risk Models and Measures Chapter 4: A Practical Guide to Regime Switching in Financial EconomicsIain Clacher, Mark Freeman, David Hillier, Malcolm Kemp, and Qi Zhang Chapter 5: Output Analysis and Stress Testing for Risk-Constrained PortfoliosJitka Dupaeová and Miloš Kopa Chapter 6: Risk Measures and Management in the Energy SectorMarida Bertocchi, Rosella Giacometti, and Maria Teresa Vespucci Section III: Portfolio Management Chapter 7: Portfolio Optimization: Theory and PracticeWilliam T. Ziemba Chapter 8: Portfolio Optimization and Transaction CostsRenata Mansini, Wlodzimierz Ogryczak, and M. Grazia Speranza Chapter 9: Statistical Properties and Tests of Efficient Frontier PortfoliosChris J Adcock Section IV: Credit Risk Modeling Chapter 10: Stress Testing for Portfolio Credit Risk: Supervisory Expectations and PracticesMichael Jacobs Jr. Chapter 11: A Critique of Credit Risk Models with Evidence from Mid-Cap FirmsDavid E. Allen. Robert J. Powell, and Abhay K. Singh Chapter 12: Predicting Credit Ratings Using a Robust Multicriteria ApproachConstantin Zopounidis Section V: Financial Markets Chapter 13: Parameter Analysis of the VPIN (Volume-Synchronized Probability of Informed Trading) MetricJung Heon Song, Kesheng Wu, and Horst D. Simon Chapter 14: Covariance Specification Tests for Multivariate GARCH ModelsGregory Koutmos Chapter 15: Accounting Information in the Prediction of.

This book provides a concise introduction into the fundamentals and applied techniques of multiple criteria decision making in the finance sector. Based onan analysis of the nature of financial decisions and the general methods of financial modelling, risk management and financial engineering, the book introduces into portfolio management, banking management and credit scoring. Finally the book presents an overview of further applications of multi criteria analysis in finance and gives an outlook on future perspectives for the application of MCDA in finance.