2. "Python for Finance Cookbook" by Eryk Lewinson:这本教材提供了一系列Python编程的实用例子,用于解决金融数据分析和建模方面的实际问题。它涵盖了各种主题,包括数据获取、数据处理、金融计算等。 3. "Financial Modelling in Python" by Shayne Fletcher and Christopher Gardner:这本教材介绍了如何使用Python进行...
《金融风险建模及投资组合优化——使用R语言》(英文名“Financial Risk Modelling and Portfolio Optimization with R”)介绍了前沿的金融风险建模技术、投资组合优化的实用方法以及新的研究进展。介绍了金融风险的典型特征、损失函数、风险测量方法、条件风险建模和无条件风险建模、极值理论、广义双曲线分布、波动率建模以及...
下面两本书介绍Python在金融中的应用: Fletcher, Shayne and Christopher Gardner (2009):Financial Modelling in Python.John Wiley & Sons, Chichester, England. Hilpisch, Yves (2015):Derivatives Analytics with Python.Wiley Finance, Chichester, England.http://derivatives-analytics-with-python.com. 本章中引...
Fletcher, Shayne and Christopher Gardner (2009):Financial Modelling in Python. John Wiley & Sons, Chichester, England. Hilpisch, Yves (2015):Derivatives Analytics with Python. Wiley Finance, Chichester, England.http://derivatives-analytics-with-python.com. ...
Bayesian Stochastic Modelling in Python.pdf Bayesian-Analysis-with-Python.epub Bayesian-Models-for-Astrophysical-Data-Using-R-JAGS-Python-and-Stan.pdf Bayesian_Statistics_Made_Simple.pdf BeagleBone-Essentials-Harness-the-power-of-the-BeagleBone-Black-to-manage-external-environments-using-C-Bash-and-Pytho...
Python for Finance(文字版)o'reilly丛书 及Python源代码http://bbs.pinggu.org/thread-3134726-1-1.html2 FinancialModelling in Pythonhttp://bbs.pinggu.org/thread-1037703-1-1.html1 四、Python公开课视频 优矿量化投资视频学习课程http://bbs.pinggu.org/thread-4148202-1-1.html3 ...
financial-engineering - applications of Monte Carlo methods to financial engineering projects, in Python. optlib - A library for financial options pricing written in Python. tf-quant-finance - High-performance TensorFlow library for quantitative finance. ...
Python for Finance 作者:Yves Hilpisch 出版社:O'Reilly Media 副标题:Analyze Big Financial Data 出版年:2014-12-27 页数:606 定价:GBP 35.99 装帧:Paperback ISBN:9781491945285 豆瓣评分 7.9 45人评价 5星 31.1% 4星 46.7% 3星 15.6% 2星 2.2%
In addition to these libraries, there are many other Python libraries that can be helpful for quantitative investing, such as matplotlib for data visualization, statsmodels for statistical modelling, and pyfolio for portfolio analysis. The choice of library depends on the specific needs and preferences...
financial-engineering - Applications of Monte Carlo methods to financial engineering projects, in Python. optlib - A library for financial options pricing written in Python. tf-quant-finance - High-performance TensorFlow library for quantitative finance. ...