Data science for financial econometrics
by Duc Trung, Nguyen Kreinovich, Vladik Ngoc Thach, Nguyen
This book offers an overview of state-of-the-art econometric techniques, with a special emphasis on financial econometrics. There is a major need for such techniques, since the traditional way of designing mathematical models based on researchers insights can no longer keep pace with the ever-increasing data flow. To catch up, many application areas have begun relying on data science, i.e., on techniques for extracting models from data, such as data mining, machine learning, and innovative stat…
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- Full title :Data science for financial econometrics / Nguyen Ngoc Thach, Vladik Kreinovich, Nguyen Duc Trung, editors.
Summary
This book offers an overview of state-of-the-art econometric techniques, with a special emphasis on financial econometrics. There is a major need for such techniques, since the traditional way of designing mathematical models based on researchers insights can no longer keep pace with the ever-increasing data flow. To catch up, many application areas have begun relying on data science, i.e., on techniques for extracting models from data, such as data mining, machine learning, and innovative statistics. In terms of capitalizing on data science, many application areas are way ahead of economics. To close this gap, the book provides examples of how data science techniques can be used in economics. Corresponding techniques range from almost traditional statistics to promising novel ideas such as quantum econometrics. Given its scope, the book will appeal to students and researchers interested in state-of-the-art developments, and to practitioners interested in using data science techniques.
Read More ↓Edition Statements
- Publication Date:©2021
Publication Statements
- Publisher(s):Springer
- Place of Publication:Cham
- Language:eng
- Publication Date:©2021
The Physical Object
- Description:1 online resource (x, 622 pages)
Edition Identifiers
- ISBN:9783030488536, 3030488535
- DOI:10.1007/978-3-030-48853-6
- oclc:on1223090891
- LC Classification:HG106
- Dewey Decimal:620.00285
Table of Contents
A Theory-based Lasso for Time-Series Data -- Invariance-Based Explanation -- Composition of Quantum Operations and Their Fixed Points -- Information quality: the contribution of fuzzy methods -- Parameter-Centric Analysis Grossly Exaggerates Certainty -- Three Approaches to the Comparison of Random Variables -- A QP framework: a contextual representation of agents' preferences in investment choice -- How to Make a Decision Based on the Minimum Bayes Factor (MBF): Explanation of the Jeffreys Scale -- Extending the A Priori Procedure (APP) to Address Correlation Coefficients -- Variable Selection and Estimation in Kink Regression Model -- Performance of microfinance institutions in Vietnam -- Factors Influencing on University Reputation in Viet Nam: Model Selection by AIC -- Impacts of Internal and External Macro Factors on Firm Stock Price in an Expansion Econometric Model -- A Case in Vietnam Real Estate Industry -- How Values Influence Economic Progress? An Evidence from South And Southeast Asian Countries -- The Effect of Governance Characteristics on Firm Performance: Evidence from Vietnam -- Does Capital Affect Bank Risk in Vietnam: A Bayesian Approach.
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