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Value at Risk (VaR) Explained! 

QuantPy
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15 окт 2024

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Комментарии : 10   
@karoll_arianna
@karoll_arianna 11 месяцев назад
I just received an introduction to the topic and I think you did a fantastic job teaching it . I look forward to watching more videos of yours.
@kobodrago2758
@kobodrago2758 3 года назад
hey Thanks for introducing solving optimisation problems with one of the most useful / interesting examples:- Optimisation of Portfolio using python. Its very informative. Now I am trying new optimisations with different cases. KEEP UP the good work...
@asdfasdfwae
@asdfasdfwae 2 года назад
Glad I found your channel. Keep doing stuff bro. Its about to blow.
@mohamedgueye7888
@mohamedgueye7888 2 года назад
Great job thank you very much for your videos! could you please also make a video on how to calculate the backtesting of the VaR and the CVaR?
@intarsienschrankzwetschgen4224
@intarsienschrankzwetschgen4224 5 месяцев назад
I don't get it. Why is the covariance matrix used? This means the stocks are not independent from each other. They are the same industry but apart from that they should not be tied together. What am I missing? Does this portray the sentiment of the market as a whole?
@intarsienschrankzwetschgen4224
@intarsienschrankzwetschgen4224 5 месяцев назад
Ok, after taking a closer look at the scatter plot STO vs. BHP I agree. They are tied together.
@rossprendergast6022
@rossprendergast6022 3 года назад
Currently completing a VaR assignment in python for my Master's
@QuantPy
@QuantPy 3 года назад
Nice, keep up the good work! Let me know if there is anything specific you’d like to see
@shubhampadhy3147
@shubhampadhy3147 7 месяцев назад
helpful af
@giacomobonomelli
@giacomobonomelli 2 года назад
great video
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