Atnaujinkite slapukų nuostatas
  • Formatas: PDF+DRM
  • Serija: Risk, Systems and Decisions
  • Išleidimo metai: 13-Sep-2021
  • Leidėjas: Springer Nature Switzerland AG
  • Kalba: eng
  • ISBN-13: 9783030666910

DRM apribojimai

  • Kopijuoti:

    neleidžiama

  • Spausdinti:

    neleidžiama

  • El. knygos naudojimas:

    Skaitmeninių teisių valdymas (DRM)
    Leidykla pateikė šią knygą šifruota forma, o tai reiškia, kad norint ją atrakinti ir perskaityti reikia įdiegti nemokamą programinę įrangą. Norint skaityti šią el. knygą, turite susikurti Adobe ID . Daugiau informacijos  čia. El. knygą galima atsisiųsti į 6 įrenginius (vienas vartotojas su tuo pačiu Adobe ID).

    Reikalinga programinė įranga
    Norint skaityti šią el. knygą mobiliajame įrenginyje (telefone ar planšetiniame kompiuteryje), turite įdiegti šią nemokamą programėlę: PocketBook Reader (iOS / Android)

    Norint skaityti šią el. knygą asmeniniame arba „Mac“ kompiuteryje, Jums reikalinga  Adobe Digital Editions “ (tai nemokama programa, specialiai sukurta el. knygoms. Tai nėra tas pats, kas „Adobe Reader“, kurią tikriausiai jau turite savo kompiuteryje.)

    Negalite skaityti šios el. knygos naudodami „Amazon Kindle“.

Risk is the main source of uncertainty for investors, debtholders, corporate managers and other stakeholders. For all these actors, it is vital to focus on identifying and managing risk before making decisions. The success of their businesses depends on the relevance of their decisions and consequently, on their ability to manage and deal with the different types of risk. Accordingly, the main objective of this book is to promote scientific research in the different areas of risk management, aiming at being transversal and dealing with different aspects of risk management related to corporate finance as well as market finance. Thus, this book should provide useful insights for academics as well as professionals to better understand and assess the different types of risk.


Corporate Risk Management and Hedge Accounting Under the Scope of IFRS 9
1(32)
Yves Rannou
Pascal Barneto
Corporate Fraud Risk Management
33(22)
Rasha Kassem
Leverage Financing and the Risk-Taking Behavior of Small Business Managers: What Happened After the Crisis?
55(44)
Nour Khairallah
Ramzi Benkraiem
Catherine Deffains-Crapsky
Credit Contagion Between Greece and Systemically Important Banks: Lessons for the Euro Area
99(64)
Dimitrios Koutmos
Cluster Analysis for Investment Funds Portfolio Optimisation: A Symbolic Data Approach
163(26)
Virginie Terraza
Carole Toque
Grey Incidence Analysis as a Tool in Portfolio Selection
189(46)
Tihana Skrinjaric
Investors' Heterogeneity and Interactions: Toward New Modeling Tools
235(30)
Souhir Masmoudi
Hela Namouri
On the Underestimation of Risk in Hedge Fund Performance Persistence: Geolocation and Investment Strategy Effects
265(30)
William Joseph Klubinski
Thanos Verousis
Equal or Value Weighting? Implications for Asset-Pricing Tests
295(54)
Yuliya Plyakha
Raman Uppal
Grigory Vilkov
Bank Failure Prediction: A Comparison of Machine Learning Approaches
349(18)
Georgios Manthoulis
Michalis Doumpos
Constantin Zopounidis
Emilios Galariotis
George Baourakis
From Calendar to Economic Time. Deciphering the Arrival of Events in Irregularly Spaced Time
367(26)
Kalaitzoglou Iordanis
Climate Change and Financial Risk
393(28)
Hugues Chenet
The Curious Case of Herding: Theories and Risk
421(50)
Tselika Maria
Index 471
Ramzi Benkraiem is Professor and the Head of research partnerships with academic institutions and a Full Professor at Audencia Business School in France. He Holds a PhD from Toulouse Graduate School of Management and an HDR (State Habilitation for supervising Doctoral Research) from Western Brittany University. His research interests lie mainly within the Economics, Accounting and Finance areas. He published several papers in both French and international peer-reviewed journals.





Iordanis Kalaitzoglou is a Full Professor in finance at Audencia Business School in France. He holds a PhD from Heriot Watt University and an HDR from University of Nantes, as well as various performance practice degrees at a BA level in clarinet, saxophone and recorder flute. His main research interests lie in the area of time modelling and rhythm, as well in its various applications in the fields of market microstructure, the energy markets, as well as in corporate finance, with emphasis in corporate social responsibility. He has given various interviews in international media, such as the BBC, Les Echos, The Guardian, The Kormssant, while he has published his work in various international peer-reviewed journals. In addition, he is the founder and CEO of Venus Roll an energy consultancy firm, a founding member of the European Capital Markets Cooperative Research Centre and the founder of the special interest group ReMA (Regulation, Market Structure and Asset Pricing).





Constantin Zopounidis is Professor of Financial Engineering and Operations Research, at Technical University of Crete (Greece), Distinguished Research Professor in Audencia Business School (France), and Senior Academician of both the Royal Academy of Doctors and the Royal Academy of Economics and Financial Sciences of Spain.  He is Editor-in-Chief in The International Journal of Multicriteria Decision Making (Inderscience), The Operational Research: An International Journal (Springer),  The International Journal of Financial Engineering and Risk Management (Inderscience) and Associate Editor  in International Journal of Banking, Accounting and Finance (Inderscience), International Journal of Data Analysis Techniques and Strategies (Inderscience), and Member of the Editorial Board in  the European Journal of Operational Research (Elsevier).







In 2013 he received the Edgeworth-Pareto prestigious Award from the International Society of Multicriteria Decision Making. He has edited and authored 100 books in international publishers and more than 500 research papers in scientific journals, edited volumes, conference proceedings and encyclopedias in the areas of finance, accounting, operations research, and management science.