In this paper, we investigate the role of execution risk in high-frequency trading through arbitrage strategies. We show that if rational agents face uncertainty about completing their arbitrage portfolios, then arbitrage is limited even in markets with perfect substitutes and convertibility....

In this paper, we challenge the notion that exploiting “riskless” arbitrage is riskless. We show that if rational agents face uncertainty about completing their arbitrage portfolios, then arbitrage is limited even in markets with perfect substitutes and convertibility. We call this...

We consider a model of external financing in which entrepreneurs are privately informed about the quality of their projects and seek funds from competitive financiers. The literature restricts attention to monotonic or ‘manipulation proof' securities and finds that straight debt is the unique...

We study the relation between limit order flow, market order flow and returns. We develop a model where market-makers face inventory risk and adverse selection and show how prices depend on market and limit order flows. In the model, market-makers receive information through trade with customers...

When a pair of independent series are highly persistent, there is a spurious regression bias in a regression between these series, closely related to the classic studies of Granger and Newbold [1974]. Although this is well known to occur with independent I(1) processes, this paper provides...

This paper introduces a class of non-additive anonymous games where agents are assumed to be uncertain (in the sense of Knight) about opponents' strategies and about the initial distribution over players' characteristics in the game. We model uncertainty by non-additive measures or capacities...

In this paper, we study the mechanisms that govern price stability of MakerDAO's DAI token, the first decentralized stablecoin. DAI works through a set of autonomous smart contracts, in which users deposit cryptocurrency collateral, typically Ethereum, and borrow a fraction of their positions as...

We study the effect of the predictability of order imbalance on market quality. We measure the degree of predictability by using the predictive likelihood from a dynamic linear model where the dependent variable is the day-ahead order imbalance. Empirically, we show that increasing order...

We consider a model of competitive insurance markets under asymmetric information with ambiguity-averse agents who maximize their maxmin expected utility. The interaction between asymmetric information and ambiguity aversion gives rise to some interesting results. First, for some parameter...

We measure the skew risk premium in the equity index market through the skew swap. We argue that just as variance swaps can be used to explore the relationship between the implied variance in option prices and realized variance, so too can skew swaps be used to explore the relationship between...