This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction, and portfolio management. The book also offers practical and managerial implications of financial and managerial decision support systems and how these systems capture vast amount of financial data.
Business risk and uncertainty are two of the toughest challenges in the financial industry. This book will be a useful guide to the use of machine learning in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.
The Essentials of Machine Learning in Finance and Accounting
This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction, and portfolio management. The book also offers practical and managerial implications of financial and managerial decision support systems and how these systems capture vast amount of financial data.
Business risk and uncertainty are two of the toughest challenges in the financial industry. This book will be a useful guide to the use of machine learning in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.
50.99
In Stock
5
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The Essentials of Machine Learning in Finance and Accounting
258
The Essentials of Machine Learning in Finance and Accounting
258
50.99
In Stock
Product Details
| ISBN-13: | 9781000394122 |
|---|---|
| Publisher: | Taylor & Francis |
| Publication date: | 06/20/2021 |
| Series: | Routledge Advanced Texts in Economics and Finance |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| Pages: | 258 |
| File size: | 10 MB |
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