Data Science for Financial Econometrics (Studies in Computational Intelligence, 898)

ISBN 10: 3030488527 / ISBN 13: 9783030488529

Edité par Springer, 2020

A propos de cet article

New.

N° de réf. du vendeur D8F0-0-M-3030488527-6

Détails bibliographiques

• Titre: Data Science for Financial Econometrics (Studies in Computational Intelligence, 898)
• Éditeur: Springer
• Date de parution: 2020
• Langue: anglais
• ISBN à 10 chiffres: 3030488527
• ISBN à 13 chiffres: 9783030488529
• Reliure: Hardcover
• État de l'article: New
• Type de livre: book

A propos de ce titre

Synopsis

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.