Nguyen Ngoc Thach - Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics
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- Book:Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics
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The series Studies in Systems, Decision and Control (SSDC) covers both new developments and advances, as well as the state of the art, in the various areas of broadly perceived systems, decision making and controlquickly, up to date and with a high quality. The intent is to cover the theory, applications, and perspectives on the state of the art and future developments relevant to systems, decision making, control, complex processes and related areas, as embedded in the fields of engineering, computer science, physics, economics, social and life sciences, as well as the paradigms and methodologies behind them. The series contains monographs, textbooks, lecture notes and edited volumes in systems, decision making and control spanning the areas of Cyber-Physical Systems, Autonomous Systems, Sensor Networks, Control Systems, Energy Systems, Automotive Systems, Biological Systems, Vehicular Networking and Connected Vehicles, Aerospace Systems, Automation, Manufacturing, Smart Grids, Nonlinear Systems, Power Systems, Robotics, Social Systems, Economic Systems and other. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution and exposure which enable both a wide and rapid dissemination of research output.
Indexed by SCOPUS, DBLP, WTI Frankfurt eG, zbMATH, SCImago.
All books published in the series are submitted for consideration in Web of Science.
More information about this series at https://link.springer.com/bookseries/13304
This Springer imprint is published by the registered company Springer Nature Switzerland AG
The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
on Bayesian analysistechnique for taking prior knowledge into account, and
on quantum uncertaintyapplication of well-tested sophisticated methods developed in modern physics for the analysis of economic phenomena.
Papers presented in this volume also cover related techniques, with economic and financial application being the unifying theme.
inspire practitioners to learn how to apply state-of-the-art Bayesian, quantum, and related techniques to economic and financial problems, and
inspire researchers to further improve the existing techniques and to come up with new techniques for studying economic and financial phenomena.
We want to thank all the authors for their contributions and all anonymous referees for their thorough analysis and helpful comments.
The publication of this volume is partly supported by the Banking University of Ho Chi Minh City, Vietnam. Our thanks to the leadership and staff of the Banking University, for providing crucial support. Our special thanks to Prof. Hung T. Nguyen for his valuable advice and constant support.
We would also like to thank Prof. Janusz Kacprzyk (Series Editor) and Dr. Thomas Ditzinger (Senior Editor, Engineering/Applied Sciences) for their support and cooperation for this publication.
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