30 minutes with login details for Utilizing Topographic Finance to Understand Volatility
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Utilizing Topographic Finance to Understand Volatility Meetup
Visual representation methods are a common problem in econometrics and finance in order to describe system dynamics. In this paper we address this problem by using the bi-harmonic oscillation process and the Brownian motion components, to generate a three-dimensional volatility surface.
The empirical analysis have been carried out on the S&P500 Index, the 10-year US Treasury Rates, and the West Texas Intermediate oil price, by using 85 daily closing observations, at the purpose to show how visualization of volatility can help understand longitudinal movements of price within different asset classes.
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I am unsure of your background. This stuff is not a trading system out of a box. If you have decent software development skills, you should be able to understand this stuff. I am unsure of your tool preferences if you don’t mind .NET, Matlab, and R, then these are tools I use. Do you have a decent math ground? This is quant as it ain’t easy no matter who you talk to or get sold by. Let me know more about your background and I can be more precise.