This paper formally implements time-varying risk price models for currency returns. Focusing upon time variation in risk prices, the paper explores four currency risk factors. In addition to dollar and carry factors, we employ momentum and value factors which are widely used by currency...

We propose a new asset-pricing framework in which all securities' signals are used to predict each individual return. While the literature focuses on each security's own- signal predictability, assuming an equal strength across securities, our framework is flexible and includes...

The profitability of a trading system based on the momentum-like effects of price jumps was tested on the time series of 7 assets (EUR/USD, GBP/USD, USD/CHF and USD/JPY exchange rates and Light Crude Oil, E-Mini S&P 500 and VIX Futures), in each case for 7 different frequencies (ranging from...

This article investigates international stock market integration in four major developed economies, namely the United States, the Economic and Monetary Union of the European Union, Japan and the United Kingdom, and two Asian emerging, countries namely China and India, over the period from June...

Recent empirical evidence from different markets suggests that the security market line is flatter than posited by CAPM. This flatness implies that a portfolio long in low-beta assets and short in high-beta assets would earn positive returns. Frazzini and Pedersen (2014) conceptualize a BAB...

This paper documents an economically significant risk premium associated with a currency’s sensitivity to time-varying risk aversion. Consequently, an investment strategy that takes a long (short) position in currencies with high (low) sensitivity to the aggregate market risk aversion yields...

We examine the relationship between stock extreme illiquidity and the implied cost of capital for firms from 45 countries. We document robust evidence that firms whose stocks have a greater potential for extreme illiquidity realizations suffer from higher cost of capital. A one standard...

Using high-frequency data, we decompose the time-varying beta for stocks into beta for continuous systematic risk and beta for discontinuous systematic risk. Estimated discontinuous betas for S&P500 constituents between 2003 and 2011 generally exceed the corresponding continuous betas. We...

When using high-frequency data, the conditional CAPM can explain asset-pricing anomalies. Using conditional betas based on daily data, the model works reasonably well for a recent sample period. However, it fails to explain the size anomaly as well as 3 out of 6 of the anomaly component excess...