Wikipedia pageviews as investors’ attention indicator for Nasdaq

The attempt to measure investors’ mood find an early indicator of financial markets has evolved and developed with the advancement technology over years. first attempts were based on surveys, a long expensive process. Nowadays, big data made it possible investor’s accurately almost entirely online. This paper analyzes explanatory predictive capacity Wikipedia pageviews for Nasdaq index. For this purpose, two econometric models have been developed. In both models, variable is number visits, endogenous index return. As alternative approach, algorithmic trading system It uses visits as investment signals short positions check predictability power indicator. determined that volume queries about companies statistically significant expressing evolution However, no capacity. Keeping in mind exemplify trends, further studies should be conducted determine how make profitable.