Pension funds use interest rate swaps to hedge the interest rate risk arising from their liabilities. Analyzing regulatory data on Dutch pension funds, we show that pension funds with worse funding ratios, indicating greater fragility, use swaps more aggressively. These swap positions expose pension funds to the risk of margin calls, which can exceed 6% of their total assets, when interest rates rise. Pension funds respond to realized margin calls by selling safe government bonds with medium-term maturities. This procyclical selling behavior adversely affects the prices of the sold bonds and thereby exposes pension funds to market liquidity risk.

A repurchase agreement (repo) is a source of cash and collateral. We document that the money market is more segmented when the collateral motive prevails. Two crucial aspects of the central bank framework lead to this disconnect: banks’ access to the central bank’s deposit facility and assets’ eligibility for quantitative easing (QE). We show that repo rates lent by banks with access to the deposit facility and secured by QE eligible assets are more collateral-driven and disconnected from funding-based money market rates. Our results are relevant for different monetary policies and have suggestive implications for the monetary policy pass-through.

Previous studies of liquidity in the foreign exchange (FX) market span short time periods or focus on specific measures of liquidity. In contrast, we provide a comprehensive study of FX liquidity and commonality over more than two decades and a cross-section of forty exchange rates. After identifying the most accurate liquidity proxies based on low-frequency and readily available data, we show that commonality in FX liquidities is stronger for developed currencies and in highly volatile markets. We also show that FX liquidity deteriorates with risk in stock, bond and FX markets, and that riskier currencies are more exposed to liquidity drops.

We propose and test a new channel that links liquidity risk and interest rates in short-term funding markets. Unlike existing theories that focus on premiums demanded by lenders, the liquidity risk channel postulates that borrowers that are more exposed to urgent liquidity needs are willing to pay a markup for immediate funding. We test and quantify the channel using unique trade-by-trade data and uncover systematic differences across individual banks’ funding cost driven by differences in banks’ liquidity risk. These differences are persistent over a decade, suggesting that the liquidity risk channel is relevant in general and not only arises during crisis times.

This work studies the information content of trades in the world’s largest over-the-counter (OTC) market, the foreign exchange (FX) market. It analyzes a novel, comprehensive order flow data set, distinguishing among different groups of market participants and covering a large cross-section of currency pairs. We find compelling evidence of heterogeneous superior information across agents, time, and currency pairs, consistent with the asymmetric information theory and OTC market fragmentation. A trading strategy based on the permanent price impact, capturing asymmetric information risk, generates high returns even after accounting for risk, transaction cost, and other common risk factors shown in the FX literature.

We propose a new method to estimate the bid-ask spread when quote data are not available. Compared to other low-frequency estimates, this method utilizes a wider information set, namely, readily available close, high, and low prices. In the absence of end-of-day quote data, this method generally provides the highest cross-sectional and average time-series correlations with the TAQ effective spread benchmark. Moreover, it delivers the most accurate estimates for less liquid stocks. Our estimator has many potential applications, including an accurate measurement of transaction cost, systematic liquidity risk, and commonality in liquidity for U.S. stocks dating back almost one century.

We analyze the financial integration of the new European Union (EU) member states’ stock markets using the negative (positive) coexceedance variable that counts the number of large negative (large positive) returns on a given day across the countries. A similar analysis is performed for the old EU countries. We use a multinomial logit model to investigate how persistence, asset classes, and volatility are related to the coexceedance variables. We find that the effects differ (a) between negative and positive coexceedance variables (b) between old and new EU member states, and (c) before and after the EU enlargement in 2004, suggesting a closer connection of new EU stock markets to those in Western Europe.

We explain the currency carry trade (CT) performance using an asset pricing model in which factor loadings are regime dependent rather than constant. Empirical results show that a typical CT strategy has much higher exposure to the stock market and is mean reverting in regimes of high foreign exchange volatility. The findings are robust to various extensions. Our regime-dependent pricing model provides significantly smaller pricing errors than a traditional model. Thus, the CT performance is better explained by a time-varying systematic risk that increases in volatile markets, suggesting a partial resolution of the uncovered interest parity puzzle.

Does global currency volume increase on Federal Open Market Committee (FOMC) days? To test hypotheses of abnormal currency volume on FOMC days, a new data set from the Continuous Linked Settlement (CLS) Bank is used. The CLS measure captures more than half of the global trading volume in foreign exchange (FX) markets. The evidence shows that FX trading volume increases about 5% in the spot and the spot-next market following FOMC deliberations. The novelty of this result is that the aggregated CLS data controls for responses in various derivatives markets: a feature that existing studies based on intradaily data for specific trading platforms do not consider.

Deviations from covered interest rate parity (CIP) are often linked to limits to arbitrage, yet trading volumes surge during periods of apparent no-arbitrage violations. We show that these distortions stem from constraints on non-U.S. agents’ access to wholesale U.S. dollar markets and reflect a premium for unencumbered synthetic dollar funding: non-U.S. banks substitute secured USD borrowing with FX swaps to meet regulatory requirements. A shadow cost-augmented CIP condition holds, implying no riskless arbitrage. U.S. dealers extract rents on dollar provision while non-U.S. customers bear $10.4 billion in additional annual hedging costs. Our results illustrate how intermediary constraints segment global dollar funding.