Angeles, Joseph Emmanuel Lukban 2016. Assessing impact of regulatory risk on shareholders’ wealth. Applied Economics, p. 1.
Aslanidis, Nektarios Christiansen, Charlotte and Savva, Christos S. 2016. Risk-return trade-off for European stock markets. International Review of Financial Analysis, Vol. 46, p. 84.
Hedegaard, Esben and Hodrick, Robert J. 2016. Estimating the risk-return trade-off with overlapping data inference. Journal of Banking & Finance, Vol. 67, p. 135.
Lin, Chien-Chih 2016. Asymmetric structure of bid-ask spreads across the business cycle. Applied Economics Letters, Vol. 23, Issue. 7, p. 501.
Piao, Xiaorui Mei, Bin and Xue, Yuan 2016. Comparing the financial performance of timber REITs and other REITs. Forest Policy and Economics,
Rana, Shailesh and Phillips, G. Michael 2016. Are U.S. growth and value stocks similarly integrated with the world markets? A test across business cycles. Applied Economics, p. 1.
Wu, Shue-Jen and Lee, Wei-Ming 2015. Intertemporal risk–return relationships in bull and bear markets. International Review of Economics & Finance, Vol. 38, p. 308.
Ghysels, Eric Guérin, Pierre and Marcellino, Massimiliano 2014. Regime switches in the risk–return trade-off. Journal of Empirical Finance, Vol. 28, p. 118.
Huang, Lin and Wang, Zijun 2014. Is the investment factor a proxy for time-varying investment opportunities? The US and international evidence. Journal of Banking & Finance, Vol. 44, p. 219.
Kinnunen, Jyri 2014. Risk-return trade-off and serial correlation: Do volume and volatility matter?. Journal of Financial Markets, Vol. 20, p. 1.
Nam, Kiseok Krausz, Joshua and Arize, Augustine C. 2014. Revisiting the intertemporal risk–return relation: asymmetrical effect of unexpected volatility shocks. Quantitative Finance, Vol. 14, Issue. 12, p. 2193.
Papadamou, Stephanos Sidiropoulos, Moïse and Spyromitros, Eleftherios 2014. Does central bank transparency affect stock market volatility?. Journal of International Financial Markets, Institutions and Money, Vol. 31, p. 362.
Dzikevičius, Audrius and Vetrov, Jaroslav 2013. Investment Portfolio Management Using the Business Cycle Approach. Verslas: teorija ir praktika, Vol. 14, Issue. 1, p. 57.
Kinnunen, Jyri 2013. Dynamic return predictability in the Russian stock market. Emerging Markets Review, Vol. 15, p. 107.
Salvador, Enrique 2012. The Risk-Return Trade-Off in Emerging Markets. Emerging Markets Finance and Trade, Vol. 48, Issue. 6, p. 106.
In the empirical finance literature, findings on the risk-return tradeoff in excess stock market returns are ambiguous. In this study, I develop a new qualitative response (QR)-generalized autoregressive conditional heteroskedasticity-in-mean (GARCH-M) model combining a probit model for a binary business cycle indicator and a regime-switching GARCH-M model for excess stock market return with the business cycle indicator defining the regime. Estimation results show that there is statistically significant variation in the U.S. excess stock returns over the business cycle. However, consistent with the conditional intertemporal capital asset pricing model (ICAPM), there is a positive risk-return relationship between volatility and expected return independent of the state of the economy.
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