The existence of the pricing kernel is shown to imply the existence of an ambient information process that generates market filtration. This information process consists of a signal component concerning the value of the random variable X that might be interpreted as the timing of future cash...

Because stock price generally deviates from the intrinsic value, stock price is a noisy indicator of the intrinsic value. As an expected return proxy, the implied cost of capital (ICC)—the internal rate of return that equates the noisy stock price to discounted expected future dividends—thus...

We study China's flagship option market, Shanghai Stock Exchange (SSE) 50 ETF option market, and the information content of trading volume using a proprietary dataset. We find that open buy put-call ratio, defined as put volume over the sum of put and call volumes, of financial institutional...

Based on criteria of mathematical simplicity and consistency with empirical market data, a stochastic volatility model is constructed, the volatility process being driven by fractional noise. Price return statistics and asymptotic behavior are derived from the model and compared with data....

We investigate the dynamics of prices, information and expectations in a competitive, noisy, dynamic asset pricing equilibrium model. We show that prices are farther away from (closer to) fundamentals compared with average expectations if and only if traders over- (under-) rely on public...

This paper shows that, in the canonical dynamic rational expectations equilibrium model, public information about future noise trading is potentially detrimental to contemporaneous price efficiency. Our result supports concerns that social sentiment investing, sparked by growing availability of...

The Kyle (1985) model is extended to take into account market maker competition and the spread. It is shown that with a spread the Kyle model has a Nash equilibrium also with two market makers, not only with three or more, as shown in earlier research. The spread is endogenized, and two testable...

In this paper, the authors test the hypothesis that individual investors contribute to the idiosyncratic volatility of stock returns because they act as noise traders.

The underperformance of high idiosyncratic volatility stocks, as documented by Ang, Hodrick, Ying, and Zhang (2006, JF), is a pure non-January phenomenon. This non-January negative relation between idiosyncratic volatility and stock returns is more pronounced among firms with greater constraints...