Data Analytics in Finance (Data Analytics Applications)

個数：

Data Analytics in Finance (Data Analytics Applications)

Dong, Huijian

ウェブストア価格 ¥46,153（本体¥41,958）
Auerbach（2025/04発売）
外貨定価 US$ 220.00
ポイント 419pt

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製本 Hardcover:ハードカバー版／ページ数 290 p.
言語 ENG
商品コード 9781032915173
DDC分類 332.0285

Full Description

Data Analytics in Finance covers the methods and application of data analytics in all major areas of finance, including buy-side investments, sell-side investment banking, corporate finance, consumer finance, financial services, real estate, insurance, and commercial banking. It explains statistical inference of big data, financial modeling, machine learning, database querying, data engineering, data visualization, and risk analysis. Emphasizing financial data analytics practices with a solution- oriented purpose, it is a "one-stop-shop" of all the major data analytics aspects for each major finance area.

The book paints a comprehensive picture of the data analytics process including:

Statistical inference of big data
Financial modeling
Machine learning and AI
Database querying
Data engineering
Data visualization
Risk analysis

Each chapter is crafted to provide complete guidance for many subject areas including investments, fraud detection, and consumption finance. Avoiding data analytics methods widely available elsewhere, the book focuses on providing data analytics methods specifically applied to key areas of finance. Written as a roadmap for researchers, practitioners, and students to master data analytics instruments in finance, the book also provides a collection of indispensable resources for the readers' reference. Offering the knowledge and tools necessary to thrive in a data-driven financial landscape, this book enables readers to deepen their understanding of investments, develop new approaches to risk management, and apply data analytics to finance.

1. Data Analytics in Finance: Introductory Case Studies 2. Data Analytics in Finance: Tools and Platforms 3. Data Analytics in Investments 4. Data Analytics in Consumption Finance 5. Data Analytics in Corporate Finance 6. Data Analytics in Financial Services and Banking 7. Data Analytics in Insurance 8. Data Analytics in Auditing 9. Data Analytics in Policy and Government 10. Data Analytics in Real Estate 11. Data Analytics in Risk Management 12. Data Analytics in Fraud Detection