Copula Analysis and Fitting for Stocks
I'm looking for a Python expert with experience in financial modeling to help me fit copulas to stock data in conjunction with the CNN Fear and Greed Index. Key tasks will include: - Conducting a goodness-of-fit test to identify the appropriate copula model. - Implementing and running the selected copulas: Gaussian, t-Copula, and Clayton. - Visualizing the results through effective plots. Ideal candidates will have: - Proficiency in Python. - Strong background in finance, particularly with stocks. - Experience with the Gaussian copula, t-Copula, and Clayton copula. - Ability to interpret and incorporate market sentiment indicators, specifically the CNN Fear and Greed Index. - Excellent data visualization skills.
Keyword: Python
Delivery Time: Ending left days
Price: $203.0
Data Mining Machine Learning (ML) Python Statistical Analysis Statistics
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