switzerlanden

Data mining

Data mining, also referred to as data dredging, data fishing, data fitting or data snooping, is the misuse of quantitative data analysis to report patterns that can be presented as statistically significant when, in fact, there is no real underlying phenomenon.

P-hacking is a form of data mining. This is usually done by performing large numbers of statistical tests of many different hypotheses on the data, and only reporting the results that can be considered significant in terms of p-value.

Data mining is typically found in medical studies, in fields such as epidemiology or psychology for example, where large datasets are used. But it also used in other scientific disciplines, in particular in finance. In recent years, many prominent academics have warned about the risk of data mining in financial research.

Quantitative investing
Quantitative investing

We’ve been leading the way in quant investing for over 25 years, turning research into practical solutions.

Read more
Investors should always strive to understand observed performance
Investors should always strive to understand observed performance
Mathijs van Dijk is Professor of Financial Markets at the Rotterdam School of Management, Erasmus University.
02-12-2020 | Interview
Quant solutions must look beyond the most conventional factors
Quant solutions must look beyond the most conventional factors
Quant strategies have come under pressure over the past two years.
24-11-2020 | Interview
Long read: Why I am more bullish than ever on quant
Long read: Why I am more bullish than ever on quant
Following more than two years of quant strategies generally underperforming sharply, investors are questioning whether quantitative investing is still viable.
11-11-2020 | Column