We develop a simple agent-based financial market model in which heterogeneous speculators apply technical and fundamental analysis to trade in two different stock markets. Speculators’ strategy/market selections are repeated at each time step and depend on predisposition effects, herding...

Most papers, that study determinants of cryptocurrency prices, find no significant relation with existing market factors. We examine a portfolio approach to explore cross-sectional pricing within the cryptomarket. At its inception, Bitcoin meant to be an alternative to fiat currencies. Yet high...

We document a strong relation between aggregate corporate investment and direct stock market risk measures. Consistent with the investment-based asset pricing model, the comovement with the proxies for conditional equity premium fully accounts for aggregate investment's predictive power for...

We derive the equilibrium interest rate and risk premiums using recursive utility with heterogeneity in a continuous time model. We solve the associated sup-convolution problem, and obtain explicit closed form solutions. The heterogeneous two-agent model is calibrated to the data of Mehra and...

In this paper, we extend the literature on crash prediction models in three main ways. First, we explicitly relate crash prediction measures and asset pricing models. Second, we present a simple, effective statistical significance test for crash prediction models. Finally, we propose a...

Political uncertainty drives markets. Among macroeconomic forces, it is one of the fewfactors that systematically affect most assets - hence it qualifies as a state variable in the senseof the ICAPM and should carry a risk premium. We employ static and conditional factormodels using data in...

We integrate a market microstructure model with an exchange competition model with entry in which exchanges supply technological services that enhance market participation, and have market power. We find that technological services can be strategic substitutes or complements in platform...

This paper addresses challenges relating to applying data mining techniques to detect stock price manipulations and extends previous results by incorporating the analysis of intraday trade prices in addition to closing prices for the investigation of trade-based manipulations. In particular,...