This paper provides evidence that a firm's stock price movements affect its customer demand. I develop a model in which customers learn about a firm's product quality partially from its stock price. This learning induces feedback from the price to customer demand. Furthermore, the firm manager...

This paper proposes an empirical model for analyzing the dynamics of Bitcoin prices. To do this, we consider a vector error correction model over two overlapping periods: 2010-2017 and 2010-2019. Price discovery is achieved through the Gonzalo-Granger permanent-transitory decomposition. The...

Dynamic asset pricing models typically do not generate trading volume whereas empirically trading volume is strongly related to asset prices; volume is usually high when returns are high and during periods of high return volatility. Stock prices on the other hand are known to be quite volatile...