We provide the first systematic asset pricing analysis of one of the main safe asset categories, the repurchase agreement (repo). Based on the temporal and cross-sectional variation in short-term rates, we form a carry that, together with a market factor, prices these near-money assets in a linear pricing model. The carry depicts heterogeneity in nonpecuniary convenience yields of collateral assets and increases in the safety premium and the liquidity premium reflecting opportunity cost. Our carry helps explain the cross-section of short-term rates, as well as of long-term bond returns after accounting for standard bond pricing factors.

We study high-frequency exchange rates over the period 1993–2008. Based on the recent literature on volatility and liquidity risk premia, we use a factor model to capture linear and non-linear linkages between currencies, stock and bond markets as well as proxies for market volatility and liquidity. We document that the Swiss franc and Japanese yen appreciate against the US dollar when US stock prices decrease and US bond prices and FX volatility increase. These safe haven properties materialise over different time granularities (from a few hours to several days) and non-linearly with the volatility factor and during crises. The latter effects were particularly discernible for the yen during the recent financial crisis.

We study the liquidity of the global currency market by analyzing the price impact of trading volume. We analyze a decade of CLS intraday data representative of global foreign exchange (FX) trading by developing a refinement of the popular Amihud (2002) illiquidity measure that we call realized Amihud, which is the ratio between realized volatility and trading volume. Inversely related to market depth, price impact increases with transaction costs, money market stress, uncertainty, and risk aversion. Furthermore, we analyze whether and how liquidity begets price efficiency by looking at violations of the “triangular” no-arbitrage condition. We find that dollar-based currencies offer a lower trading impact supporting price efficiency.

We analyze the effects of prudential regulation on short-term interest rates. The European Market Infrastructure Regulation (EMIR) induces clearing houses (CCPs) to supply large amounts of cash in reverse repurchase agreements (repos). Basel III, in contrast, disincentivizes the borrowing demand by tightening banks’ balance sheet constraints. Using unique regulatory data of CCP investment activity and repo transactions, we find compelling evidence for both the supply and demand channels. The overall effects are decreasing short-term rates and increasing market imbalances in various forms, all of which entail unintended consequences due to the new regulatory framework.

Using unique data at transaction and identity levels, we provide the first systematic study of interest rate swaps traded over the counter (OTC). We find substantial and persistent heterogeneity in derivative prices consistent with a pass-through of regulatory costs on to market prices via so-called valuation adjustments (XVA). A client pays a higher price to buy interest rate protection from a dealer (i.e., the client pays a higher fixed rate) if the contract is not cleared via a central counterparty. This OTC premium decreases by posting initial margins and with higher buyer’s creditworthiness. OTC premia are absent for dealers suggesting bargaining power.

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.