登入
選單
返回
Google圖書搜尋
Essentials of Excel VBA, Python, and R
John Lee
Jow-Ran Chang
Lie-Jane Kao
Cheng-Few Lee
其他書名
Volume II: Financial Derivatives, Risk Management and Machine Learning
出版
Springer Nature
, 2023-03-23
主題
Business & Economics / Statistics
Computers / Mathematical & Statistical Software
Computers / General
Business & Economics / Business Mathematics
Mathematics / Probability & Statistics / General
Business & Economics / General
ISBN
3031142837
9783031142833
URL
http://books.google.com.hk/books?id=5ou1EAAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data with the applications of Excel VBA, Python and R. Each chapter engages the reader with sample data drawn from individual stocks, stock indices, options, and futures. Now in its second edition, it has been expanded into two volumes, each of which is devoted to specific parts of the business analytics curriculum. To reflect the current age of data science and machine learning, the used applications have been updated from Minitab and SAS to Python and R, so that readers will be better prepared for the current industry.
This second volume is designed for advanced courses in financial derivatives, risk management, and machine learning and financial management. In this volume we extensively use Excel, Python, and R to analyze the above-mentioned topics. It is also a comprehensive reference for active statistical finance scholars and business analysts who are looking to upgrade their toolkits. Readers can look to the first volume for dedicated content on financial statistics, and portfolio analysis.