This paper empirically studies the role of macro-factors in explaining and predicting daily bond yields. In general, macro-finance models use low-frequency data to match with macroeconomic variables available only at low frequencies. To deal with this, we construct and estimate a tractable...

We propose and test novel multifactor models of daily mutual fund performance. To this aim, we set up equity style indices and derive risk factors, which nest the established Fama and French (1992) and Carhart (1997) factors. We add two additional risk factors, namely idiosyncratic risk and...

This paper proposes an asymmetric kernel-based method for nonparametric estimation of scalar diffusion models of spot interest rates. We derive the asymptotic theory for the asymmetric kernel estimators of the drift and diffusion functions for general and positive recurrent processes and...

This paper applies a new identification approach to estimate the contemporaneous relation between the term structure and monetary policy within a VAR framework. To achieve identification, we combine high-frequency Treasury futures and fed funds futures data with the VAR methodology. Results...

In the paper we investigate the empirical features of euro area money market turbulence during the recent financial crisis. By means of a novel Fractionally Integrated Heteroskedastic Factor Vector Autoregressive model, we find evidence of a deterministic level factor in the EURIBOR-OIS (OIS)...

This study contributes to the investigation of the macro-finance interface by assessing the economic content and risk-based interpretation of widely employed risk factors in the specification of empirical asset pricing models, i.e., Fama–French size and value, Carhart momentum, as well as the...

This paper adopts quantile regressions to scrutinize the realized stock–bond correlation based upon high frequency returns. The paper provides in-sample and out-of-sample analysis and considers factors constructed from a large number of macro-finance predictors well-known from the return...

This paper aims at improved accuracy in testing for long-run predictability in noisy series, such as stock market returns. Long-horizon regressions have previously been the dominant approach in this area. We suggest an alternative method that yields more accurate results. We find evidence of...

This paper investigates the informational effect of trading and market segmentation on the Australian Securities Exchange (ASX) paying particular attention to the recent phenomenon: fleeting orders.11Consistent with Hasbrouck and Saar (2009), fleeting orders are defined as non-marketable limit...

Momentum returns have time-varying exposures to the three Fama and French equity risk factors. In particular factor loadings are higher when the factor returns during the ranking period are higher. In this study we look at momentum returns after hedging these time-varying exposures to the Fama...