Value at Risk (VaR) Explained in 5 minutes - NO MUSIC

แชร์
ฝัง
  • เผยแพร่เมื่อ 29 ธ.ค. 2024

ความคิดเห็น • 14

  • @HeyCurlyBoy
    @HeyCurlyBoy 2 ปีที่แล้ว

    really like how you breakdown these concepts, please continue having more videos!!

  • @adamazinski1178
    @adamazinski1178 2 ปีที่แล้ว +2

    Really enjoy your videos, keep them up! Some ideas for next vids: various models for pricing and their applications (BS, Monte Carlo, Vasicek), numerical models, neural networks? Also, maybe to dig in deeper into these topics, ur doing a great job of introducing those concepts but if you could elaborate on them a little further it would be great

    • @dirtyquant
      @dirtyquant  2 ปีที่แล้ว

      Appreciate the feedback mate!
      Thank you!

  • @string22
    @string22 2 ปีที่แล้ว +2

    Excellent videos mate. Love how you explain complex topics in simple terms with minimal formulas.
    A few ideas for more videos:
    stochastic optimal control, hidden markov models, gaussian processes, ensemble learning, convex optimisation, kalman filters, kernel ridge regression, deep learning, deep neural nets

    • @dirtyquant
      @dirtyquant  2 ปีที่แล้ว +1

      Thank you for the kind works.
      And thanks the excellent list of suggestions.

  • @MrHuyaaaa
    @MrHuyaaaa 2 ปีที่แล้ว +1

    Love your videos.
    It would be really nice to see VaR/CVAR estimation with some of the topics that you alrerady touched, i.e. copulas & garch models.
    In the context of GARCH, it would be great to see the residuals modelled as skewed t-dist.

    • @dirtyquant
      @dirtyquant  2 ปีที่แล้ว

      Glad you live them mate.
      All that is in the plan. Just been very busy with a move so haven’t been able to dedicate much time to the channel.

    • @MrHuyaaaa
      @MrHuyaaaa 2 ปีที่แล้ว +1

      @@dirtyquant
      Hope moving went well, it’s usually such a hassle :)
      Sounds terrific! Looking forward to it.

  • @CraftingHock
    @CraftingHock 2 ปีที่แล้ว +1

    What is the best way to contact you directly? I am trying to break into the quant industry and find your videos really helpful and was wondering if I could get your advice for graduate school. Let me know either way!

    • @dirtyquant
      @dirtyquant  ปีที่แล้ว

      Hey, sorry I missed this message! Go to dirtyquant.com and we can chat there

  • @prod.kashkari3075
    @prod.kashkari3075 2 ปีที่แล้ว +1

    Are you a quant in the industry?

    • @dirtyquant
      @dirtyquant  2 ปีที่แล้ว +1

      Lol. Sure am mate :-)

    • @prod.kashkari3075
      @prod.kashkari3075 2 ปีที่แล้ว +2

      @@dirtyquant I have many questions for you. I’m currently an undergraduate statistics major and mathematics minor. I want to become a quant researcher at a prop trading/hedge fund. Is this a role which almost exclusively looks for phds? I’m considering going for a masters in statistics after college. Is an MFE better? What maths or stats courses do you think is useful for on the job? I’m sick and tired of all these proof based analysis classes, and I feel as thought the statistics, especially time series is way more important. One of my professors is suggesting I take measure theoretic probability but I’ve absolutely had it with me real analysis classes and I’m just tired of proving things and want to do real work. Any advice?

    • @dirtyquant
      @dirtyquant  2 ปีที่แล้ว +1

      @@prod.kashkari3075 don’t worry too much about specific courses. Do things you will enjoy or it will be hell and you won’t learn anything. The whole point of higher education is to learn how to learn. If you gain that skill, you can tackle anything.
      Difficult degrees show an employer you can do hard things and not give up.
      Focus on other things. Building a public GitHub repo with useful projects you can show people during interviews.
      Working on communication skills.
      Working on visualisation skills.
      Best of luck mate