hi,大家好,这期视频继续上期关于风险价值(Value at Risk)的内容,向大家展示了如何通过Python去计算VaR指标,使用Python可以很方便导入第三方数据库历史价格信息,并通过历史模拟法迅速计算VaR值,希望大家喜欢。分享我的专业知识 知识 野生技能协会 金融 金融建模 风险价值 VAR CFA Python Excel FRM Financial Modeling ...
accessibility, and flexibility of Python, with the low-level computational efficiency of C++, in the context of interesting financial modeling problems, they have provided an implementation template which will be useful to others seeking to jointly optimize the use of computational and human resources....
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Financial modeling with Python and Pandas . Contribute to leonarduschen/pyfinmod development by creating an account on GitHub.
and flexibility of Python, with the low-level computational efficiency of C++, in the context of interesting financial modeling problems, they have provided an implementation template which will be useful to others seeking to jointly optimize the use of computational and human resources. They document...
In addition, DX Analytics provides a number of other classes and functions useful for financial analytics, like a class formean-variance portfolio analysisor a class to modelinterest-rate swaps. However, thefocuslies on the modeling and valuation of complex derivatives instruments and portfolios compo...
回答的补充- market risk modeling对于编程的要求亦不低。参见我以前的回答 http://www.zhihu.com/...
Work with scientific packages, like NumPy Plot graphs with Matplotlib Get a job as a data scientist with Python Carry out in-depth investment analysis Calculate risk and return of individual securities Apply best practices when working with financial data ...
These platforms leverage technologies such as machine learning, data science, and sophisticated algorithms to process and interpret vast datasets in real time. With built-in tools that often incorporate Python for advanced modeling, users can perform complex analyses with minimal technical expertise. ...
Then within Python use: from financetoolkit import Toolkit companies = Toolkit( tickers=['GOOGL', 'MSFT', 'AMZN'], api_key="FINANCIAL_MODELING_PREP_KEY", ) To be able to get started, you need to obtain an API Key from FinancialModelingPrep. This is used to gain access to 30+ years...