We model firms’ allocation of resources across surplus-creating (ie, productive) and surplus-appropriating (ie, rent-seeking) activities. Our model predicts that industry-wide technological advancements, such as recent progress in data collection and processing, induce a disproportionate and socially inefficient reallocation of resources toward surplus-appropriating activities. As technology improves, firms rely more on appropriation to obtain their profits, thereby endogenously reducing the impact of technological progress on economic progress and inflating the price of the resources used for both types of activities. Our theoretical insights shed light on the rise of high-frequency trading.

We propose a model of strategic renegotiation in which businesses are sequentially interconnected through their liabilities. This financing structure, which we refer to as a credit chain, gives rise to externalities, as each lender’s willingness to provide concessions to its borrower depends on how this lender’s own liabilities are expected to be renegotiated. We highlight how government interventions aimed at preventing default waves should account for private renegotiation incentives and interlinkages. In particular, we contrast the consequences of targeted subsidy and debt reduction programs following economic shocks, such as pandemics and financial crises.

Over-the-counter (OTC) markets attract substantial trading volume despite exhibiting frictions absent in centralized limit-order markets. We compare the efficiency of OTC and limit-order markets when traders’ expertise is endogenous. We show that asymmetric access to counterparties in OTC markets yields increased rents from expertise acquisition for a few well-connected core traders. When the existence of gains to trade is uncertain, traders’ higher expertise in OTC markets can improve allocative efficiency. In contrast, when expertise primarily causes adverse selection, competitive limit-order markets tend to dominate. Our model provides guidance for policy makers and empiricists evaluating the efficiency of market structures.

We propose a parsimonious model of bilateral trade under asymmetric information to shed light on the prevalence of intermediation chains that stand between buyers and sellers in many decentralized markets. Our model features a classic problem in economics where an agent uses his market power to inefficiently screen a privately informed counterparty. Paradoxically, involving moderately informed intermediaries also endowed with market power can improve trade efficiency. Long intermediation chains in which each trader's information set is similar to those of his direct counterparties limit traders' incentives to post prices that reduce trade volume and jeopardize gains to trade. (JEL D42, D82, D85, L12, L14)

ABSTRACT We propose a labor market model in which financial firms compete for a scarce supply of workers who can be employed as either bankers or traders. While hiring bankers helps create a surplus that can be split between a firm and its trading counterparties, hiring traders helps the firm appropriate a greater share of that surplus away from its counterparties. Firms bid defensively for workers bound to become traders, who then earn more than bankers. As counterparties employ more traders, the benefit of employing bankers decreases. The model sheds light on the historical evolution of compensation in finance.

We study security issuers’ decisions on whether to pool assets when facing counterparties endowed with market power, as is common in over-the-counter markets. Our analysis reveals how buyers’ market power may render the pooling of assets suboptimal — both privately and socially — in particular, when the potential gains from trade are large. Pooling assets then reduces the elasticity of trade volume in the relevant part of the payoff distribution, exacerbating the inefficient rationing associated with the exercise of buyers’ market power. Our analysis provides insight on the determinants of asset-backed securities issuance, including regulatory reforms affecting financial institutions’ liquidity.

Intermediation chains represent a common pattern of trade in over-the-counter markets. We study a classic problem impeding trade in these markets: an agent uses his market power to inefficiently screen a privately informed counterparty. We show that, generically, if efficient trade is implementable via any incentive-compatible mechanism, it is also implementable via a trading network that takes the form of a sufficiently long intermediation chain. We characterize information sets of intermediaries that ensure this striking result. Sparse trading networks featuring long intermediation chains might thus constitute an efficient market response to frictions, in which case no regulatory action is warranted.