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Alon Honig
Registrace 19. 12. 2008
I am an consultant that works in the insurance Industry.
Introduction to Monte Carlo Methods
This is a non-technical introduction to Monte Carlo methods.
zhlédnutí: 176 870
Video
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Due to the financail crisis of 2008 and the rise of the European sovereign-debt crisis there has been increased intrest in explicitly trading market risk.This presentation will provide an overview of one way to profit from the increase in risk - Realized Volatility contracts. There will be an exposition on this new contract including how it differs from current market based measures of risk. Sp...
Monetary Policy: An Introduction
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This is a presentation on Monetary Policy. The slide deck can be found at alonhonig.com, the Resources tab.
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Here is a video that explains the underlying economics behind IPO's. I would like to thank Kyana for the voicework: modelmuse.net/profile/KyanaBrannigan
Writing Fast R Code - Part 2
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This is the second video that will talk about how you can write fast R code without resorting to complex solutions. The slide-deck and code can be found @ alonhonig.com - Resources
Writing Fast R Code - Part 1
zhlédnutí 5KPřed 12 lety
This video will talk about how you can write fast R code without resorting to complex solutions. The slide-deck and code can be found @ alonhonig.com - Resources
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zhlédnutí 966Před 12 lety
This video provides an explanation as to what pairs trading is and how you can profit from it.
Very good video. Thanks Alon!!!
Very clear explanation, thank you!!
Power Flow Analysis Application for those who study electrical engineering : czcams.com/video/2cBoSTJHxv4/video.html
Wow. You deserver 10 billion subscribers God bless you dude love
Alon, I found this really helpful, so thank you very much. I want to use MC to explore why it is said that calibration standards should be four times "as accurate" as what they are testing. I want to test all the way from 10:1 to 1:1 and see the results. In the traditional world, there is not nearly enough data to accomplish this task. I will post on LinkedIn, so lets become colleagues!
Intuitive,realistic and a natural touch- a great explanation of the concept!!
Nice explanation. is there any example or process regarding finance matters ?
hey Liby you might find this helpful, it is from Wharton ;) www.coursera.org/learn/wharton-introduction-spreadsheets-models/lecture/0OsMZ/4-1-monte-carlo-simulations
Thanks for making this video! I've posted these on my computer as I learn how to write code in R. It will take some re-learning and practice, but I'm grateful to have found this video before some of the inefficiencies I had developed over the past 6 months of education became habits! The video definitely helped me to better understand how R is manipulating the data with respect to computer resources and how to code more efficiently! On a side note, I went to get the slide notes and your site just seems to just return a blank white page.
Thank you very much for this! :)
1 week in trading parlance is 5 days in stocks!
thank you
Great work, I thought. You did what you set out to do: a non-technical explanation of MC and its uses and concerns. Much appreciated (a breath of fresh air, really, considering other materials out there that attempt to do this but miss mark). Thanks for putting this together.
Thank you for the video. If we know the answer or we have the desired measure, then what is the point of doing Monte Carlo? Also is there any software that we can do this type of simulation without writing codes?
hey Jon, I understand that learning to code can be hard but it is the best way to run monte carlo simulations. You can try with MS Excel to sharpen your skills before using R or python.
Fantastic presentation. Simple and clear.
Thank you very much , I am studying a scientist Master , Working on waves , it was so interesting to understand Monte Carlo throw your video , I would like to ask you if you Have any Examples that would show us How we can read the results from the simulation , aheading to make a good report , and reasonable facts from it .. thanks again
Hey Hassan. Simulation results can be analyzed with Descriptive Statistics. The Khan Academy has a great intro to this topic: www.khanacademy.org/math/probability/descriptive-statistics
great video
Very clear and understandable explanation. Thank you very much.
thank you alon . this video get me understanding to MC simulation .. im so gratefull for you
That's a clear explanation of the Monte Carlo simulation.
The best introduction to MC methods I can find so far! Thank you so much!
Great explanation! Thanks!
Thanks Alon for your video. Can you please tell me what's the drawing tool that you're using?
PowerPoint (^_^;)
Hello, im sorry i cant get the difference in your 22:15 video presentation, what is the differences between what if scenario and finding reasonable scenario?
The "what if" scenario is one that did not occur but could have occurred. A "non reasonable" scenario is one that could never occur in the first place.
Hands down the BEST fast intro to Monte Carlo methods... THANK YOU!
Simple, understandable, and comprehensive for beginners ... Thank you Alon.
great intro
Super, super helpful. This is a great introduction to Monte Carlo methods. Thanks for all your time and effort!
Very helpful. Thank you so much~~
sir i would like a clarification on the word spelt when the video reads 12:04. the pronunciation seemed little inaudible in my headset. please help
it comes after that the factor A ....
"the fact that A occurred will influence..."
sure sir thank u :)
Nice explanation. But why do you brush your teeth before breakfast?! :)
bacteria multiplies fastest when you're sleeping. That's why there is morning breath. You don't want to swallow that. Everyone has a different take on it though.
Why wouldn't I swallow bacteria, the stomach has acid to kill it off
Very nice Video. Helped me a lot. Thx