© 2018

Econometrics for Financial Applications

  • Ly H. Anh
  • Le Si Dong
  • Vladik Kreinovich
  • Nguyen Ngoc Thach
Conference proceedings ECONVN 2018

Part of the Studies in Computational Intelligence book series (SCI, volume 760)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. General Theory

    1. Front Matter
      Pages 1-1
    2. Hung T. Nguyen, Le Si Dong
      Pages 44-62
    3. Charles Andoh, Lord Mensah, Francis Atsu
      Pages 63-77
    4. Michael Beer, Zitong Gong, Ingo Neumann, Songsak Sriboonchitta, Vladik Kreinovich
      Pages 78-85
    5. Wachirapong Jirakitpuwapat, Poom Kumam
      Pages 115-119
    6. Radim Jiroušek, Prakash P. Shenoy
      Pages 120-133
    7. Vladik Kreinovich, Anh H. Ly, Olga Kosheleva, Songsak Sriboonchitta
      Pages 134-145
    8. Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta
      Pages 146-151
    9. Anh H. Ly, Michael Zakharevich, Olga Kosheleva, Vladik Kreinovich
      Pages 152-160
    10. Patcharee Maneerat, Sa-Aat Niwitpong, Suparat Niwitpong
      Pages 161-174
    11. Akira Namatame
      Pages 175-185
    12. Thach N. Nguyen, Olga Kosheleva, Vladik Kreinovich
      Pages 186-195
    13. Martha Osegueda Escobar, Vladik Kreinovich, Thach N. Nguyen
      Pages 235-242

About these proceedings


This book addresses both theoretical developments in and practical applications of econometric techniques to finance-related problems. It includes selected edited outcomes of the International Econometric Conference of Vietnam (ECONVN2018), held at Banking University, Ho Chi Minh City, Vietnam on January 15-16, 2018.

Econometrics is a branch of economics that uses mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance.

An extremely important part of economics is finances: a financial crisis can bring the whole economy to a standstill and, vice versa, a smart financial policy can dramatically boost economic development. It is therefore crucial to be able to apply mathematical techniques of econometrics to financial problems. Such applications are a growing field, with many interesting results – and an even larger number of challenges and open problems.


Computational Intelligence Intelligent Systems Econometrics Financial Applications ECONVN2018

Editors and affiliations

  • Ly H. Anh
    • 1
  • Le Si Dong
    • 2
  • Vladik Kreinovich
    • 3
  • Nguyen Ngoc Thach
    • 4
  1. 1.Banking University HCMCHo Chi Minh CityVietnam
  2. 2.Banking University HCMCHo Chi Minh CityVietnam
  3. 3.Computer Science DepartmentUniversity of Texas at El PasoEl PasoUSA
  4. 4.Banking University HCMCHo Chi Minh CityVietnam

Bibliographic information

  • Book Title Econometrics for Financial Applications
  • Editors Ly H. Anh
    Le Si Dong
    Vladik Kreinovich
    Nguyen Ngoc Thach
  • Series Title Studies in Computational Intelligence
  • Series Abbreviated Title Studies Comp.Intelligence
  • DOI
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-73149-0
  • Softcover ISBN 978-3-319-89234-4
  • eBook ISBN 978-3-319-73150-6
  • Series ISSN 1860-949X
  • Series E-ISSN 1860-9503
  • Edition Number 1
  • Number of Pages XIII, 1081
  • Number of Illustrations 176 b/w illustrations, 0 illustrations in colour
  • Topics Computational Intelligence
    Artificial Intelligence
  • Buy this book on publisher's site
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