Multiple regression in Python with statsmodels

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Today we are investigating the implementation of multiple linear regression (OLS) in Python with the aid of statsmodels package, interpreting the results and discussing the output of the functions.
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Опубликовано:

3 окт 2024

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Комментарии : 6

@NEDLeducation Год назад

You can find the .ipynb for this video and some additional materials here: drive.google.com/drive/folders/1sP40IW0p0w5IETCgo464uhDFfdyR6rh7 Please consider supporting NEDL on Patreon: www.patreon.com/NEDLeducation

@salardelavarqashqai Год назад

perfect done. please have more and more videos in finanace in fundamental and technical mixing portfolio optimzation

@henriqueguerino7108 3 месяца назад

That was helpful!! I'm in a data science course but it lacks statistic classes, so I can barely tell what that bunch of indicators on the summary mean. Do you recommend any book, course, paper or anything on statistics to help me understand the basis of it and what the indicators mean?

@RavinderSekhon Год назад

Hi Savva, thanks for sharing these valuable insights on regular basis. Kindly help with the application of optimal thermal path method in finance with python. (Reference paper: Time-varying lead-lag structure between investor sentiment and stock market Can-Zhong Yao, Hong-Yu Li). Thanks in advance.

@besnikez2372 Год назад

Hi Savva, for my mastersthesis I am researching the relationship between stock liquidity and the return distribution and if stock liquidity affects it. I was planning on comparing the SP500 with the European Stock Market, however I’m not fully sure which tests and regressions to do. Any suggestions? Thanks In Advance!

@salardelavarqashqai Год назад

Hi you did not add this python code in google dive