Data Science in Finance and Accounting
暫譯: 金融與會計中的數據科學
Nguyen, Hien Thu Thi, Phan, Hai Hong, Huynh, Van Nam
相關主題
商品描述
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.
商品描述(中文翻譯)
本書匯集了數據科學、機器學習與金融交叉領域的創新研究。涵蓋了廣泛的主題，包括可解釋的人工智慧（explainable AI）、財務困境預測、股市預測、投資策略、審計分析以及經濟建模，展示了來自全球的理論發展和應用案例研究。
本書的章節涵蓋預測建模、情感分析、資本結構、IT 治理以及貝葉斯方法在生產力中的應用，提供了一個多學科的視角，探討數據驅動工具如何重塑現代金融和會計。
本書為學術界、實務工作者及研究生提供了一個及時的資源，幫助他們理解並應用數據科學於金融和會計的背景中。
