Han N. Ozsoylev

Asset Pricing in Large Information Networks

We study asset pricing in economies with large information networks. We focus on networks that are sparse and have power law degree distributions, in line with empirical studies of large scale social networks. Our theoretical framework yields a rich set of novel asset pricing implications. We derive closed form expressions for price, volatility, profitability and trading volume, as functions of the network topology. We also study agent welfare and show that the network that optimizes total welfare is typically a uniform one with an intermediate degree of connectedness.

Hype and Dump Manipulation

This paper introduces signaling in a standard market microstructure model so as to explore the economic circumstances under which hype and dump manipulation can be an equilibrium outcome. We consider a discrete time, multi-period model with stages of signaling and asset trading. A single informed trader contemplates whether or not to spread a (possibly dishonest) rumor on the asset payoff among uninformed traders. Dishonest rumor-mongering is costly due to regulatory enforcement, and the uninformed traders who access the rumor can be sophisticated or naive. The sophisticated traders correctly anticipate the relationship between the rumor and the asset payoff, whereas the naive ones take the rumor at its face value as if it truthfully reveals the asset payoff. The presence of sophisticated traders puts the informed trader off from rumor-mongering, because sophisticates fully infer the asset payoff from the rumor, reducing the informational rents enjoyed by the informed trader. Nevertheless we show that it can be optimal for an informed trader to create false hype among uninformed traders provided that there is at least one naive trader in the market and the cost of dishonest rumor-mongering is not too low. The false hype allows the informed trader to sell at an inflated price or buy at a deflated one. Intense regulatory enforcement, which makes dishonest rumor-mongering very costly, may not necessarily curb hype and dump schemes. Market depth and trading volume rise with “hype and dump†while market efficiency decreases.

The Lender of Last Resort in a General Equilibrium Framework

This paper models the role of the lender of last resort (LoLR) in a general equilibrium framework. We allow for heterogeneous agents and a risk-averse banking sector, and incorporate the frictions of endogenous default, liquidity, and money. Adverse supply shocks in monetary endowments trigger default, leading to deterioration in the value of bank assets, and subsequent bank illiquidity in some states of the world. LoLR intervention is then assessed with regards to its economy-wide effect on welfare, bank profitability, and the level of default. The results provide a rationalisation for constructive ambiguity and the ‘too big to fail’ problem.