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Exact First- and Second-Order Greeks by Algorithmic Differentiation
In this article, The Numerical Algorithms Group (NAG) work very closely with Uwe Naumann to help users take advantage of Algorithmic Differentiation methods.
Excerpt from a chapter on High Frequency Trading in The World Scientific Handbook of Futures Markets
In this short piece from a chapter in The World Scientific Handbook of Futures Markets, Barbara Mack presents an overview on HFT, case studies, and a summary of select regulations in the United States.
Explorations in Asset Returns
In this white paper CQF faculty member Dr. Richard Diamond provides an in-depth exploration in asset returns.
Ferdinand the Bull
In his latest commentary, Edward Talisse likens the financials and banks to that off a bull, and explains where it all went wrong in the 2008 financial crisis.
Financial Option Prices in Excel
In this article, both Marcin and Jeremy discuss the use of algorithms from the NAG Library to calculate prices for financial options.
Financials and Bank Performance. Plus an 18 Month Forecast.
Edward Talisse gives a comprehensive financials and bank performance overview of 2014 so far, plus an 18 month forecast.
Fitch Learning Aims to Boost AI & Machine Learning Skills in China
Hong Kong – 30 March 2020: A record number of professionals have signed up for Fitch Learning’s quantitative finance programme to
Geezers Need Excitement: Trading Jitters and the Volume Myth
Declining trading volumes is a fact. But the idea that high volume is good and low volume is bad is a fallacy. In this article, Ed Talisse looks at 5 market shocks that are driving trading volumes lower.
Hands Off My Cash, Monty
In this article, Edward Talisse examines how index investing captures the market's beta (systematic risk) premium in particular asset classes.
High Frequency Trading - Innovation or Rigging?
In this article, Edward Talisse asks the question; Are technological savvy and speedy traders bad for the long-term health of financial markets?
