We analyze a tractable rational expectations equilibrium model with margin constraints. We argue that constraints affect and are affected by informational efficiency, leading to a novel amplification mechanism. A decline in wealth tightens constraints and reduces investors’ incentive to acquire information, lowering price informativeness. Lower informativeness, in turn, increases the risk borne by financiers who fund trades, leading them to further tighten constraints faced by investors. This information spiral leads to (i) significant increases in risk premium and return volatility in crises, when investors’ wealth declines, (ii) complementarities in information acquisition in crises, and (iii) complementarities in margin requirements.
This paper studies simultaneous multilateral search (SMS) in over-the-counter (OTC) markets: when searching, an investor contacts several potential counterparties and then trades with the one offering the best quote. Search intensity (how frequently one can search) and search capacity (how many potential counterparties one can contact) affect market qualities differently. Contrasting SMS to bilateral bargaining (BB), the model shows that investors might favor BB over SMS if search intensity is high or in distress. Such preference for BB hurts allocative efficiency and suggests an intrinsic hindrance in the adoption of all-to-all and request-for-quote type of electronic trading in OTC markets.
We characterize the unique equilibrium in an economy populated by strategic CARA investors who trade multiple risky assets with arbitrarily distributed payoffs. We use our explicit solution to study the joint behaviour of illiquidity of option contracts and show that, contrary to the conventional wisdom, option bid-ask spreads may decrease in risk aversion, physical variance, and open interest but increase after earnings announcements. All these predictions are confirmed empirically using a large panel dataset of US stock options.
We consider a market where large investors do not only trade on information about asset fundamentals. When they trade more aggressively, the price becomes less informative. Other investors who learn from prices, in turn, are less concerned about adverse selection and provide more liquidity, causing large investors to trade even more aggressively. This trading complementarity can engender three unconventional results: i) increased competition among large investors makes all investors worse off, ii) more precise private information reduces price informativeness, creating complementarities in information acquisition, and iii) multiple equilibria emerge. Our results have implications for competition and transparency policies in financial markets.
We show, both theoretically and empirically, that several statistics of dealer heterogeneity affect prices and liquidity in the foreign exchange (FX) market. A higher cross-sectional covariance between dealers’ risk aversions and inventories is associated with higher FX returns. Although unobservable, this statistic can be proxied by the cross-sectional covariance between dealer-to-customer (D2C) prices and bid-ask spreads. A higher cross-sectional dispersion of dealer risk aversions is associated with higher liquidity in the dealer-to-dealer market and can be proxied by the cross-sectional dispersion of D2C spreads. These predictions are confirmed empirically using proprietary data on the largest FX dealers’ D2C quotes.