We study how securities and issuance mechanisms can be designed to mitigate the adverse impact of market imperfections on liquidity. In our model, asset owners seek to obtain liquidity by selling claims contingent on privately observed future cash-flows. Liquidity suppliers can be competitive or strategic. In the optimal trading mechanism associated with an arbitrary given security, issuers with low cash-flows sell their entire holdings of the security, while issuers with high cash-flows are typically excluded from trade. By designing the security optimally, issuers can avoid exclusion altogether. We show that the optimal security is debt. Because of its low informational sensitivity, debt mitigates the adverse selection problem. Furthermore, by pooling all issuers with high cash-flows, debt also reduces the ability of a monopolistic liquidity supplier to exclude them from trade in order to better extract rents from issuers with lower cash-flows.

Speculators buy an asset hoping to sell it later to investors with higher private valuations. If agents are uncertain about the distribution of private valuations and about the beliefs of others about this distribution, a beauty contest with an infinite hierarchy of beliefs arises. Under Harsanyi's assumption of a common prior the infinite beliefs hierarchy is readily solved using Bayes' law. This paper shows that common knowledge of the “beliefs formation rule,” mapping the private valuation of each agent into his first-order belief, also simplifies the beliefs hierarchy while allowing for disagreement among agents. We analyse the resulting speculation in a stylized asset market. Several statistics, computed only from readily observable quote, return and volume data, are evaluated in terms of their power to discriminate between genuine disagreement and the Harsanyian case. Only statistics that relate volume and volatility, or volume and changes in best offers, have the necessary discriminatory power.

We study the interaction between firms, which can invest in green technologies, and a government, which can impose emission caps but has limited commitment power. Investment in green technologies generates innovation spillovers, reducing the cost of further investments. Spillovers generate intertemporal strategic complementarities between firms and government, and equilibrium multiplicity. In a “green equilibrium”, firms, anticipating caps, invest in green technologies, which reduces the cost of further investment, making the government willing to cap emissions. In a “brown equilibrium”, firms, anticipating no caps, don’t invest, so green technologies remain costly and the government gives up on emission caps.

An informed financial institution can trade on private information and also sell it to clients through a managed fund. To provide an incentive for the informed agent to trade in the interest of her client, the optimal contract requires that she be compensated as an increasing function of the profits of the fund. The optimal contract is also designed to limit the aggressiveness of the sum of the fund’s trade and the proprietary trade. This reduces information revelation and thus leads to greater overall trading profits than if the informed agent only conducted proprietary trades.

Asymmetric information between banks and firms can preclude financing of valuable projects. Trade credit can alleviate this problem by incorporating in the lending relation the private information held by suppliers about their customers. Incentive compatibility conditions prevent collusion between two of the agents (e.g., the buyer and the seller) against the third (e.g., the bank). Consistent with the empirical findings of Petersen and Rajan (1995), firms without relationships with banks resort more to trade credit, and sellers with greater ability to generate cash flows provide more trade credit. Finally small firms react to monetary contractions by using trade credit, consistent with the empirical results of Nilsen (1994).

As a centralized, computerized, limit order market, the Paris Bourse is particularly appropriate for studying the interaction between the order book and order flow. Descriptive methods capture the richness of the data and distinctive aspects of the market structure. Order flow is concentrated near the quote, while the depth of the book is somewhat larger at nearby valuations. We analyze the supply and demand of liquidity. For example, thin books elicit orders and thick books result in trades. To gain price and time priority, investors quickly place orders within the quotes when the depth at the quotes or the spread is large. Consistent with information effects, downward (upward) shifts in both bid and ask quotes occur after large sales (purchases).

We analyze politically motivated privatization in a bipartisan environment. When median-class voters a priori favor redistributive policies, a strategic privatization program allocating them enough shares can induce a voting shift away from left-wing parties whose policy would reduce the value of shareholdings. To induce median-class voters to buy enough shares to shift political preferences, strategic rationing and underpricing is often necessary. In the extreme, this may lead to free share distribution and voucher privatization. Shifting voting preferences becomes impossible when strong ex ante political constraints require large upfront transfers to insiders or when social inequality is extreme.

High speed market connections improve investors׳ ability to search for attractive quotes in fragmented markets, raising gains from trade. They also enable fast traders to obtain information before slow traders, generating adverse selection, and thus negative externalities. When investing in fast trading technologies, institutions do not internalize these externalities. Accordingly, they overinvest in equilibrium. Completely banning fast trading is dominated by offering two types of markets: one accepting fast traders, the other banning them. Utilitarian welfare is maximized with (i) a single market type on which fast and slow traders coexist and (ii) Pigovian taxes on investment in the fast trading technology.

We analyze theoretically and empirically the implications of information asymmetry for equilibrium asset pricing and portfolio choice. In our partially revealing dynamic rational expectations equilibrium, portfolio separation fails, and indexing is not optimal. We show how uninformed investors should structure their portfolios, using the information contained in prices to cope with winner’s curse problems. We implement empirically this price- contingent portfolio strategy. Consistent with our theory, the strategy outperforms economically and statistically the index. While momentum can arise in the model, in the data, the momentum strategy does not outperform the price-contingent strategy, as predicted by the theory.

We study the dynamics of an innovative industry when agents learn about its strength, i.e., the likelihood that it gets hit by negative shocks. Managers can exert risk-prevention effort to mitigate the consequences of such shocks. As time goes by, if no shock occurs, confidence improves. This attracts managers to the innovative sector. But, when confidence becomes high, less managers exerting low risk-prevention effort also enter. This accelerates the growth of the industry, while inducing a decline in risk-prevention. The longer the boom, the stronger the confidence, the larger the losses if a shock occurs. While the above dynamics arise in the first best, with asymmetric information there is excessive entry of inefficient managers, earning informational rents at the expense of efficient managers. This inflates the innovative sector and increases its vulnerability.