We study the optimal algorithm decisions of a platform on ranking products sold by sellers--who may use fake sales to boost the rankings of their products--and the impact on consumers and sellers. We design a model of an online retail marketplace with competing sellers. The platform decides...

We relate Google search volumes, proxying for economic concerns of households (FEARS), to individual investor trading. The trading data come from a large German brokerage covering more than 100 thousand investors over ten years. When FEARS is high, individual investors are on the sell side of...

This paper examines the causal relationship between global stock market performance and Google search volume index (SVI) surrounding the disastrous event of the coronavirus (COVID-19) outbreak. Based on 6,106 stock index-day observations of 71 countries during the period from 1 January 2020 to...