Custom cover image
Custom cover image

Data Science in Finance and Accounting / edited by Hien Thu Thi Nguyen, Hai Hong Phan, Van-Nam Huynh

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Studies in Big Data ; 181Publisher: Cham : Springer Nature Switzerland, 2026Publisher: Cham : Imprint: Springer, 2026Description: 1 Online-Ressource (VIII, 378 p. 73 illus., 64 illus. in color.)ISBN:
  • 9783032061799
Subject(s): Genre/Form: Additional physical formats: 9783032061782 | 9783032061805 | 9783032061812 | Erscheint auch als: 9783032061782 Druck-Ausgabe | Erscheint auch als: 9783032061805 Druck-Ausgabe | Erscheint auch als: 9783032061812 Druck-AusgabeDDC classification:
  • 620.00285 23
DOI: DOI: 10.1007/978-3-032-06179-9Online resources: Summary: On Explainable Data Science -- Why Shapley Value and Its Generalizations Are Effective in Economics and Finance, Machine Learning, and Systems Engineering -- Why Skew-Normal Distributions and How They Are Related to ReLU Activation Function in Deep Learning -- A Study of Machine Learning Models for Financial Distress Prediction -- SPredict Stock Market Prediction with Social Media Sentiment Analysis and Machine Learning -- Post-IPO Performance Prediction: A Comparative Study of Logistic Regression and Machine Learning Techniques for Thai IPO Firms -- Enhancing Corporate Bankruptcy Prediction with Machine Learning and Textual Analysis -- AI-Enhanced Investing Sentiment Analysis, Strategy Design, and Automation -- Explainable AI in Finance: Enhancing Transparency and Interpretability of AI Models in Financial Decision-Making -- On Shared Directors and Liquidation Evidence from UK SMEs -- Optimizing Portfolio and Asset Allocation Strategies -- The Impact of Capital Structure on the Performance of Non-financial Enterprises in Vietnam -- Analyze Financial Data Using Benford’s Law Evidence From Vietnam Before and During the COVID-19 Pandemic -- IT Governance and Perceived Usefulness of CAATs An Empirical Study -- Micro-level Determinants of Household Financial Portfolio Choices in Rural Vietnam -- The Impact of Information and Communication Technology on Economic Growth and Productivity Paradox in Southeast Asia, Analyzed with Bayesian Methods -- Big Data Analytics for Financial Decisions of Companies a Systematic Literature Review.Summary: This book brings together innovative research at the intersection of data science, machine learning, and finance. Covering a wide spectrum of topics—including explainable AI, financial distress prediction, stock market forecasting, investment strategies, audit analytics, and economic modeling—it showcases both theoretical developments and applied case studies from around the world. With chapters spanning predictive modeling, sentiment analysis, capital structure, IT governance, and Bayesian approaches to productivity, the book offers a multidisciplinary perspective on how data-driven tools are reshaping modern finance and accounting. This book presents a timely resource for academics, practitioners, and graduate students seeking to understand and apply data science in financial and accounting contexts.PPN: PPN: 1960500376Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-ECF | ZDB-2-SXEF
No physical items for this record

Barrierefreier Inhalt: PDF/UA-1. Table of contents navigation. Single logical reading order. Short alternative textual descriptions. Use of color is not sole means of conveying information. Use of high contrast between text and background color. Next / Previous structural navigation. All non-decorative content supports reading without sight

Anmerkungen zur Barrierefreiheit: This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. Please note that a more accessible version of this eBook is available as ePub.. No reading system accessibility options actively disabled. Publisher contact for further accessibility information: accessibilitysupport@springernature.com

KIT – The University in the Helmholtz Association                         Home | Impressum | Datenschutz | Barrierefreiheit | KIT