This article examines the dynamic relationship between two key US money market interest rates––the federal funds rate (FF) and the 3-month Treasury bill rate. Using daily data over the period from 1974 to 1999, we find a long-run relationship between these two rates that is remarkably stable across monetary policy regimes of interest rate and monetary aggregate targeting. Employing a nonlinear asymmetric vector equilibrium correction model, which is novel in this context, we find that most of the adjustment toward the long-run equilibrium occurs through the FF. In turn, there is strong evidence for the existence of significant asymmetries and nonlinearities in interest rate dynamics that have implications for the conventional view of interest rate behavior.

We propose an empirical model for deviations from long-run purchasing power parity (PPP) that simultaneously accounts for three key features: (i) adjustment toward PPP may occur via nominal exchange rates and relative prices at different speeds; (ii) different exchange rate regimes may generate regime shifts in the structural dynamics of PPP deviations; (iii) nonlinear reversion toward PPP in response to shocks. This empirical framework encompasses and synthesizes much previous empirical research. Using over a century of data for the G5 countries, we provide evidence that long-run PPP holds, the relative importance of nominal exchange rates and prices in restoring PPP varies over time and across different exchange rate regimes, and reversion to PPP occurs nonlinearly, at a speed that is fairly consistent with the nominal rigidities suggested by conventional open economy models.

This paper provides an empirical investigation of the time-series predictive ability of foreign exchange risk measures on the return to the carry trade, a popular investment strategy that borrows in low-interest currencies and lends in high-interest currencies. Using quantile regressions, we find that higher market variance is significantly related to large future carry trade losses, which is consistent with the unwinding of the carry trade in times of high volatility. The decomposition of market variance into average variance and average correlation shows that the predictive power of market variance is primarily due to average variance since average correlation is not significantly related to carry trade returns. Finally, a new version of the carry trade that conditions on market variance generates performance gains net of transaction costs.

This paper investigates the validity of the law of one price (LOP) in international financial markets by examining the frequency, size and duration of inter-market price differentials for borrowing and lending services (‘one-way arbitrage’). Using a unique data set for three major capital and foreign exchange markets that covers a period of more than seven months at tick frequency, we find that the LOP holds on average, but numerous economically significant violations of the LOP arise. The duration of these violations is high enough to make it worthwhile searching for one-way arbitrage opportunities in order to minimize borrowing costs and/or maximize earnings on given funds. We also document that such opportunities decline with the pace of the market and increase with market volatility.

This paper examines the relation between the Canadian dollar/US dollar (CAD) exchange rate and foreign exchange order flow employing a novel data set on CAD order flow over the period 1994–2005. We investigate empirically the predictive information content and the determinants of order flow. The results suggest that order flow has strong out-of-sample predictive power for CAD returns, yielding significant market timing ability and tangible economic gains in a stylized dynamic asset allocation context. In terms of its determinants, order flow appears to reflect not only the menu of macroeconomic variables typically suggested in the literature but is also closely related to commodity price fluctuations, as expected from a ‘commodity currency’.

Lending to corporates in foreign currencies can expose banks to substantial currency risk. Using global syndicated loan data, we find that a one-standard-deviation increase in exchange rate volatility increases loan spreads somewhere in the range between 5.5 and 16.1 basis points for loans made in a currency different from the lenders’. This implies excess interest of approximately 1 to 3 USD million for loans of average size and duration. We also show that this finding is mostly attributed to credit constraints and deviations from perfect competition in international lending markets, and that borrowers can lower the extra cost by forming strong lending relationships with their banks.