Essentials of Excel VBA, Python, and...
Lee, John.

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  • Essentials of Excel VBA, Python, and R.. Volume II,. Financial derivatives, risk management and machine learning
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Essentials of Excel VBA, Python, and R./ by John Lee ... [et al.].
    其他題名: Financial derivatives, risk management and machine learning
    其他作者: Lee, John.
    出版者: Cham :Springer International Publishing : : 2023.,
    面頁冊數: xv, 523 p. :ill. (chiefly col.), digital ;24 cm.
    內容註: Chapter 1. Introduction -- Chapter 2. Introduction to Excel Programming -- Chapter 3. Introduction to VBA Programming -- Chapter 4. Professional Techniques Used in Excel and Excel VBA Techniques -- Chapter 5. Decision Tree Approach for Binomial Option Pricing Model -- Chapter 6. Microsoft Excel Approach to Estimating Alternative Option Pricing Models -- Chapter 7. Alternative Methods to Estimate Implied Variances -- Chapter 8. Greek Letters and Portfolio Insurance -- Chapter 9. Portfolio Analysis and Option Strategies -- Chapter 10. Alternative Simulation Methods and Their Applications -- Chapter 11. Linear Models for Regression -- Chapter 12. Kernel Linear Model -- Chapter 13. Neural Networks and Deep Learning -- Chapter 14. Applications of Alternative Machine Learning Methods for Credit Card Default Forecasting -- Chapter 15. An Application of Deep Neural Networks for Predicting Credit Card Delinquencies -- Chapter 16. Binomial/Trinomial Tree Option Pricing Using Python -- Chapter 17. Financial Ratios and its Applications -- Chapter 18. Time Value Money Analysis -- Chapter 19. Capital Budgeting under Certainty and Uncertainty -- Chapter 20. Financial Planning and Forecasting -- Chapter 21. Hedge Ratios: Theory and Applications -- Chapter 22. Application of simultaneous equation in finance research: Methods and empirical results -- Chapter 23. Using R Program to Estimate Binomial Option Pricing Model and Black & Scholes Option Pricing Model.
    Contained By: Springer Nature eBook
    標題: Finance - Data processing. -
    電子資源: https://doi.org/10.1007/978-3-031-14283-3
    ISBN: 9783031142833
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