November 2013
Beginner
164 pages
3h 46m
English
book
Introduction to R for Quantitative Finance
by Gergely Daróczi, Michael Phule, Edina Berlinger (EURO), Peter Csoka, Daniel Daniel Havran, Marton Michaletzky, Zsolt Tulassay, Kata Váradi, Agnes Vidovics-Dancs, Agnes Vidovics Dancs
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Chapter 9. Financial Networks
We have seen in the previous chapter how extreme events coming from asymmetric and fat-tailed distributions can be modeled and how the risk associated with extreme events can be measured and managed.
In some cases we have access to financial data that enables us to construct complex networks. In financial networks, it is quite usual that the distribution of some attributes (degree, quantity, and so on) is highly asymmetric and fat-tailed too.
By nature, available financial networks are usually not complete; they do not contain either all possible players, or all possible connections, or all relevant attributes. But even in their limited state, they constitute an extremely rich and informative data set which can help ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.