The problem of decomposing a cash flow has been treated in recent years by Gronchi (1986, 1987), Peccati (1987, 1991, 1992), Stewart (1991), Pressacco and Stucchi (1997). After showing that the Economic Value Added introduced by Stewart bears a strong resemblance to (and in some conditions...

The recent notion of Average Internal Rate of Return (AIRR) [Magni 2010, The Engineering Economist, 55(2), 150-180] completely solves the long-standing problem of the internal rate of return (IRR). While the AIRR is a return measure, this paper presents a cash-flow measure, namely the ratio of...

This paper adopts dynamic factor models with macro-fi?nance predictors to revisit the intertemporal risk-return relation in ?five large European stock markets. We identify country specifi?c, Euro area, and global factors to determine the conditional moments of returns considering the role of...

We use intraday data to compute weekly realized variance, skewness, and kurtosis for equity returns and study the realized moments? time-series and cross-sectional properties. We investigate if this week?'s realized moments are informative for the cross-section of next week'?s stock returns. We...

This paper provides the first evidence for empirical tests of the effect of rational expectations as well as behavioral biases, including among other animal spirits such as defined by Akerlof and Shiller (2009) on the variability of trading.We have used daily data for five international capital...

Risk management is crucial for optimal portfolio management. One of the fastest growing areas in empirical finance is the expansion of financial deriva-tives. The purpose of this special issue on “Risk Management and Financial Deriva-tives” is to highlight some areas in which novel...

This article attempts to examine whether the equity premium in the United States can be predicted from a com-prehensive set of 18 economic and financial predictors over a monthly out-of-sample period of 2000:2 to 2011:12, using an in-sample period of 1990:2-2000:1. To do so, we consider, in...

This paper explores the time variation in the stock–bond correlation using high-frequency data. Gradual transitions between regimes of negative and positive stock–bond correlation are well accommodated by the smooth transition regression (STR) model. We find that the regimes are...