Does Inequality Help in Forecasting Equity Premium in a Panel of G7 Countries?

Christina Christou (christina.christou@ouc.ac.cy), Rangan Gupta and Fredj Jawadi
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Christina Christou: School of Economics and Management, Open University of Cyprus, Latsia, Cyprus

No 201720, Working Papers from University of Pretoria, Department of Economics

Abstract: This paper investigates whether the post-tax and transfer growth rate in the Gini index can help in forecasting the equity premium in the G7 countries (Canada, France, Germany, Italy, Japan, United Kingdom (UK), and United States (US)). To this end, we use a panel data-based predictive framework, which controls for heterogeneity, cross-sectional dependence, persistence and endogeneity. When we analyze the annual out-of-sample period of 1990-2011, given an in-sample period of 1967-1989, our results show that: (a) Time series based predictive regression models fail to beat the benchmark of historical average, except for Italy; and, (b) the panel data models beat the benchmark in a statistically significant fashion for all the seven countries. Further, our results highlight the importance of pooling information when trying to forecast excess stock returns based on a measure of inequality.

Keywords: Equity Premium; Inequality; G7 Countries; Panel Predictive Regressions (search for similar items in EconPapers)
JEL-codes: C33 C53 G1 (search for similar items in EconPapers)
Pages: 21 pages
Date: 2017-03
New Economics Papers: this item is included in nep-for and nep-ore
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Citations: View citations in EconPapers (4)

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Related works:
Journal Article: Does inequality help in forecasting equity premium in a panel of G7 countries? (2021)
Working Paper: Does inequality help in forecasting equity premium in a panel of G7 countries? (2021)
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