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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.

Edward Talisse
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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.

NAG
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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.

Edward Talisse
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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

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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.

Edward Talisse
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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.

Edward Talisse
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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?

Edward Talisse
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How to Succeed in Quant Investing with Big Data Analytics

In this article, Peter Hafez shares his views on what he believes is required to succeed in today's world of quant investing. 

Peter Hafez
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How to use Natural Language Processing for Multi-Topic Quant Investing

In this article, Peter Hafez discusses how investors need the right tools to cut through the noise to uncover the signal behind the latest move in the markets.

Peter Hafez
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Identifying Business Cycles Using RLink in Wolfram Finance Platform

In this white paper, Wolfram demonstrate the use of RLink by identifying business cycles that affect stock markets for periods generally lasting about four years.

Wolfram

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