Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics - Couverture souple

Couverture souple

ISBN 10 : 3030986918 ISBN 13 : 9783030986919

Editeur : Springer Nature Switzerland AG, 2023

Synopsis

This book overviews latest ideas and developments in financial econometrics, with an emphasis on how to best use prior knowledge (e.g., Bayesian way) and how to best use successful data processing techniques from other application areas (e.g., from quantum physics). The book also covers applications to economy-related phenomena ranging from traditionally analyzed phenomena such as manufacturing, food industry, and taxes, to newer-to-analyze phenomena such as cryptocurrencies, influencer marketing, COVID-19 pandemic, financial fraud detection, corruption, and shadow economy. This book will 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 come up with new techniques for studying economic and financial phenomena. The book will also be of interest to students interested in latest ideas and results.

Détails de l'édition

• Éditeur: Springer Nature Switzerland AG
• Date d'édition: 2023
• Langue: anglais
• ISBN 10: 3030986918
• ISBN 13: 9783030986919
• Reliure: Broché
• Nombre de pages: 890
• Éditeur: Ngoc Thach Nguyen, Kreinovich Vladik, Ha Doan Thanh, Trung Nguyen Duc
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Allemagne