Data Science for Financial Econometrics

Häftad, Engelska, 2021

Av Nguyen Ngoc Thach, Vladik Kreinovich, Nguyen Duc Trung

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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.

Produktinformation

Utgivningsdatum2021-11-14
Mått155 x 235 x 35 mm
Vikt961 g
FormatHäftad
SpråkEngelska
SerieStudies in Computational Intelligence
Antal sidor633
FörlagSpringer Nature Switzerland AG
ISBN9783030488550

Tillhör följande kategorier

Nationalekonomi inom Ekonomi och ledarskap
Artificiell intelligens inom Data och it
Databaser inom Data och it

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.