The rate of failure in quantitative finance is high, particularly in financial machine learning
applications. The few managers who succeed amass a large amount of assets and deliver …

Empirical Finance is in crisis: Our most important discovery tool is historical simulation, and
yet, most backtests and time series analyses published in journals are flawed. The problem …

Finance cannot become a rigorous science (in the Popperian or Lakatosian sense),
however it can still operate as an “industrial science”. This article describes the scientific …