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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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Finformatics: How to Measure Really Small Things

The orthodoxy has tendency to ignore drift which leaves opportunity for finformaticians the market over…

Kent Osband
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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 the rise in data has led to a skills gap

The exponential growth in data is driving companies to look at how they can use new insights to their competitive advantage. Managing and analysing this increasing volume of data, using strategies such as AI and machine learning, has opened up significant skill gaps in the financial services sector. Which is where digital learning has a big role to play.

Randeep Gug
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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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