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We examine the forecasting performance of a range of time-series models of the daily U.S. effective federal funds (FF) rate recently proposed in the literature. We find that: (1) most of the models and predictor variables considered produce satisfactory one-day-ahead forecasts of the FF rate,...

A growing body of empirical literature has established interest rate rules as a convenient way to model and interpret monetary policy. However, as pointed out by Rudebusch (1998), vector autoregression (VAR) models used to recover the central banks' reaction functions generally rely on the...

This paper investigates the source of predictability of bond risk premia by means of long-term forward interest rates. We show that the predictive ability of forward rates could be due to the high serial correlation and cross-correlation of bond prices. We show that the predictive ability of...

This paper investigates high-frequency (HF) market and limit orders in the U.S. Treasury market around major macroeconomic news announcements. BrokerTec introduced i-Cross at the end of 2007 and we use this exogenous event as an instrument to analyze the impact of HF activities on liquidity and...

This article examines empirically the dynamic relationship between spot and futures prices in stock index futures markets employing a class of nonlinear, regime‐switching‐vector‐equilibrium‐correction models, which is novel in this context. Using data for the S&P 500 and the FTSE 100...

We investigate the performance and risk of currency hedge funds using a large and unique consolidated currency hedge fund dataset. We find that a substantial number of hedge funds generate returns that exceed foreign exchange risk premia obtained through carry trades. The best alpha-generating...