Machine learning methods for big data trade off bias for precision in prediction. To understand the implications for financial markets, I formulate an asymmetric information model where agents optimally choose a biased estimator. The model identifies a novel cost of complexity that arises...

Avoid costly trading mistakes with this workbook that tests readers' investment knowledge No one enters the stock market in the hopes that they may actually lose money on their investments. Sadly, most do. Avoid expensive trading blunders with this hands-on workbook designed to test readers'...

This paper gives an overview of some issues related to market valuation, focusing on the developments on the New York equity markets. The 42.4 p.c. fall in the S&P 500 price index between 24 March 2000 - when it reached its all-time high - and 31 December 2002 is situated in a very long term...