scholarly journals The Asymmetric Effect of the Business Cycle on the Relation Between Stock Market Returns and their Volatility

2006 ◽  
Author(s):  
Peter N. Smith ◽  
Steffen Sorensen ◽  
Michael R. Wickens
2019 ◽  
Vol 55 (3) ◽  
pp. 829-867 ◽  
Author(s):  
Jac Kragt ◽  
Frank de Jong ◽  
Joost Driessen

We estimate a model for the term structure of discounted risk-adjusted dividend growth using prices of dividend futures for the Eurostoxx 50. A 2-factor model capturing short-term mean reversion within a year and a medium-term component reverting at the business-cycle horizon gives an excellent fit of these prices. Hence, investors update the valuation of dividends beyond the business cycle only to a limited degree. The 2-factor model, estimated on dividend futures data only, explains a large part of observed daily stock market returns. We also show that the 2 latent factors are related to various economic and financial variables.


2009 ◽  
pp. 145-180
Author(s):  
Oreste Napolitano

This paper explore, using Markov switching models, the dynamic relationship between stock market returns and the monetary policy innovation in 11 EUM countries and, for five of them, at each single industry portfolios. It also investigates the possibility of asymmetric effects of the ECB decision when stock markets are not fully integrated. The findings indicate that there is statistically significant relationship between policy innovations and stock markets returns. The findings from country size and industry portfolios indicate that monetary policy has larger asymmetric effect on the industry portfolios of big countries (Italy, France and Germany) compared to the same sectors of small countries (Netherlands and Belgium).


2011 ◽  
Vol 47 (1) ◽  
pp. 137-158 ◽  
Author(s):  
Henri Nyberg

AbstractIn 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.


2012 ◽  
Vol 10 (6) ◽  
pp. 385 ◽  
Author(s):  
Esin Cakan

<span style="font-family: Times New Roman; font-size: small;"> </span><p class="MsoNormal" style="margin: 0in 0.5in 0pt; text-align: justify;"><span style="color: black; font-size: 10pt; mso-themecolor: text1; mso-fareast-font-family: Calibri;"><span style="font-family: Times New Roman;">By jointly modeling returns and volatilities, we find that unemployment news has no significant impact on US stock market returns, but instead on stock market volatility. There is also a significantly positive relation between the long-term bond return and unemployment news during economic expansions, indicating that U.S. government bonds might be a hedge against unemployment news. Inflation news affects both stock and bond market returns negatively during expansions. Both unemployment and inflation news surprises also have more impact on volatility during economic recessions than during expansions. </span></span></p><span style="font-family: Times New Roman; font-size: small;"> </span>


2011 ◽  
Vol 31 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Horst Entorf ◽  
Anne Gross ◽  
Christian Steiner

GIS Business ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. 1-9
Author(s):  
Dhananjaya Kadanda ◽  
Krishna Raj

The present article attempts to understand the relationship between foreign portfolio investment (FPI), domestic institutional investors (DIIs), and stock market returns in India using high frequency data. The study analyses the trading strategies of FPIs, DIIs and its impact on the stock market return. We found that the trading strategies of FIIs and DIIs differ in Indian stock market. While FIIs follow positive feedback trading strategy, DIIs pursue the strategy of negative feedback trading which was more pronounced during the crisis. Further, there is negative relationship between FPI flows and DII flows. The results indicate the importance of developing strong domestic institutional investors to counteract the destabilising nature FIIs, particularly during turbulent times.


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