We study the role of liquidity providers (LPs) in price discovery on decentralized cryptocurrency exchanges, highlighting the informational role of strategic liquidity provision.

Using confidential transaction-level data from the Bank of England, we show that USD swap line usage reduces FX pricing inefficiencies and CIP violations, highlighting their role as a substitute for dollar funding.

We show that political threats to Fed independence shift investor expectations, using blockchain-based prediction market data to link policy views to perceived political pressure.

Using granular blockchain data, we show that stablecoin currencies are price efficient but constrained by blockchain frictions, and connected to traditional markets through arbitrage and informed trading.

We study peg-price deviations in MakerDAO’s DAI and show how limits to arbitrage and the use of risky collateral drive peg instability, highlighting a trade-off between decentralization and arbitrage design.

Unanticipated FX interventions by Banco Central do Brasil lead to domestic currency appreciation and reduce CIP deviations, especially when intermediaries are constrained.

We decompose the corporate basis into credit and convenience yield components, showing how shocks to risky dollar asset demand affect exchange rates and real activity.

We use BERT-based news sentiment to show that cryptocurrencies exposed to blockchain fundamentals earn a premium—linking returns to their network characteristics and token type.

We show that CBDCs can improve welfare for unbanked households but create trade-offs in optimal policy—highlighting the role of financial inclusion in CBDC design.

We study DeFi lending rates and show that arbitrage with futures markets is weak due to segmentation, wide no-arbitrage bounds, and high on-chain trading costs.