Monte Carlo methods in finance
Monte Carlo methods are used in corporate finance and mathematical finance to value and analyze (complex) instruments, portfolios and investments by simulating the various sources of uncertainty affecting their value, and then determining the distribution of their value over the range of resultant outcomes. This is usually done by help of stochastic asset models. The advantage of Monte Carlo methods over other techniques increases as the dimensions (sources of uncertainty) of the problem increase. Monte Carlo methods were first introduced to finance in 1964 by David B. Hertz through his Harvard Business Review article, discussing their application in Corporate Finance. In 1977, Phelim Boyle pioneered the use of simulation in derivative valuation in his seminal Journal of Financial Economics paper. This article discusses typical financial problems in which Monte Carlo methods are used. It also touches on the use of so-called "quasi-random" methods such as the use of Sobol sequences. (Wikipedia).
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In today's video we learn all about the Monte Carlo Method in Finance. These classes are all based on the book Trading and Pricing Financial Derivatives, available on Amazon at this link. https://amzn.to/2WIoAL0 Check out our website http://www.onfinance.org/ Follow Patrick on twitter h
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These full length lectures are being provided for students who are unable to attend live university lectures due to the public health issues associated with Covid 19. I will return to my standard YouTube video format shortly. Buy The Book Here: https://amzn.to/2Qdj9zu Visit our website.
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Read more on Monte Carlo Simulations and download a sample model here: https://magnimetrics.com/monte-carlo-simulation-in-financial-modeling/ If you like this video, drop a comment, give it a thumbs up and consider subscribing here: https://www.youtube.com/channel/UCrdjXR70BwWIX--ZtQB42XQ
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Gerhard Larcher: Two concrete FinTech applications of QMC
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From playlist Contributed talks One World Symposium 2020
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Dr Lukasz Szpruch, University of Edinburgh
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