Python and Statistics for Financial Analysis 2
Week2的Quiz答案 留存學習 VaR方法提出的背景 傳統的ALM(Asset-Liability Management,資產負債管理)過於依賴報表分析，缺乏時效性；利用方差及β係數來衡量風險太過於抽象，不直觀，而且反映的只是市場（或資產）的波動幅度；而CAPM（資本資產定價模型）又無法揉合金融衍生品種。在上述傳統的幾種方法都無法準確定義和度量金融風險時，G30集團在研究衍生品種的基礎上，於1
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相關文章
- 1. Statistics for Data Analysis
- 2. Statistics for business and economics: Chapter 2
- 3. Financial Analysis 1: Current Ratio Analysis
- 4. Statistics for business and economics: Chapter 3
- 5. Python For Data Analysis -- Pandas
- 6. QUANT[22]論文2:Deep Direct Reinforcement Learning for Financial Signal Representation and Trading
- 7. Python For Data Analysis -- NumPy
- 8. Python For Data Analysis -- IPython
- 9. Financial engineering and risk management
- 10. System analysis and design Assignment 2