scholarly journals Stock Market Uncertainty and the Stock-Bond Return Relation

2005 ◽  
Vol 40 (1) ◽  
pp. 161-194 ◽  
Author(s):  
Robert Connolly ◽  
Chris Stivers ◽  
Licheng Sun

AbstractWe examine whether time variation in the comovements of daily stock and Treasury bond returns can be linked to measures of stock market uncertainty, specifically the implied volatility from equity index options and detrended stock turnover. From a forward-looking perspective, we find a negative relation between the uncertainty measures and the future correlation of stock and bond returns. Contemporaneously, we find that bond returns tend to be high (low) relative to stock returns during days when implied volatility increases (decreases) substantially and during days when stock turnover is unexpectedly high (low). Our findings suggest that stock market uncertainty has important cross-market pricing in-fluences and that stock-bond diversification benefits increase with stock market uncertainty.

2007 ◽  
Vol 10 (01) ◽  
pp. 81-99 ◽  
Author(s):  
Garry Hobbes ◽  
Frewen Lam ◽  
Geoffrey F. Loudon

Previous evidence suggests that the implied volatility from equity index options, as a measure of stock market uncertainty, can provide "forward-looking information" about the stock–bond return correlation. This paper uses an alternative regime-switching autoregressive model to characterize state-dependent stock–bond return comovement and to evaluate the contribution of implied volatility in understanding transition dynamics. We confirm that implied volatility provides information about transition dynamics which is not inherent in the stock and bond returns, notwithstanding several different features of our data set and methodological approach.


2018 ◽  
Vol 55 ◽  
pp. 285-294 ◽  
Author(s):  
Fu-Lai Lin ◽  
Sheng-Yung Yang ◽  
Terry Marsh ◽  
Yu-Fen Chen

Author(s):  
Angeline M. Lavin

<p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt;"><span style="font-family: &quot;CG Times&quot;,&quot;serif&quot;;"><span style="font-size: x-small;">The purpose of this paper is to investigate the persistence of seasonality in stock and bond returns using data from 1926 to 1992. This study finds evidence of seasonality in stock returns during the 1926-92 period.<span style="mso-spacerun: yes;">&nbsp; </span>Dividing the data into sub-periods yields the following results: there was no evidence of stock market seasonality from 1926 to 1940, seasonality increased between 1941 and 1975 and then diminished slightly from 1976 to 1992. Specifically, the average January return was found to be significantly different than the average return in the other eleven months of the year.<span style="mso-spacerun: yes;">&nbsp; </span>Seasonality was found in the high-quality end of the corporate bond market during the 1966-78 period, but there was no evidence of seasonality in the government bond market. </span></span></p>


2020 ◽  
Vol 37 (3) ◽  
pp. 561-582
Author(s):  
David G. McMillan

Purpose This paper aims to examine the behaviour, both contemporaneous and causal, of stock and bond markets across four major international countries. Design/methodology/approach The authors generate volatility and correlations using the realised volatility approach and implement a general vector autoregression approach to examine causality and spillovers. Findings While results confirm that same asset-cross country return correlations and spillovers increase over time, the same in not true with variance and covariance behaviour. Volatility spillovers across countries exhibit a substantial amount of time variation; however, there is no evidence of trending in any direction. Equally, cross asset – same country correlations exhibit both negative and positive values. Further, the authors report an inverse relation between same asset – cross country return correlations and cross asset – same country return correlations, i.e. the stock return correlation across countries increases at the same time the stock and bond return correlation within each country declines. Moreover, the results show that the stock and bond return correlations exhibit commonality across countries. The results also demonstrate that stock returns lead movement in bond returns, while US stock and bond returns have predictive power other country stock and bond returns. In terms of the markets analysed, Japan exhibits a distinct nature compared with those of Germany, the UK and USA. Originality/value The results presented here provide a detailed characterisation of how assets interact both with each other and cross-countries and should be of interest to portfolio managers, policy-makers and those interested in modelling cross-market behaviour. Notably, the authors reveal key differences between the behaviour of stocks and bonds and across different countries.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tianning Ma ◽  
Shuo Li ◽  
Xu Feng

PurposeThis paper studies whether individual stocks provide higher returns than government bond in the Chinese market.Design/methodology/approachThe authors compare individual stock returns and government bond returns in the Chinese market.FindingsThe authors find that more than half of individual stocks underperform government bonds over the same period in China, which highlights the important role of positive skewness in the distribution of individual stock returns. The high return of a few stocks is the reason why the stock market return is higher than that of government bond in China.Originality/valueThe results of this paper emphasize that portfolio diversification plays an important role in the Chinese market.


Data ◽  
2019 ◽  
Vol 4 (3) ◽  
pp. 91
Author(s):  
Laurens Swinkels

Academics and research analysts in financial economics frequently use returns on government bonds for their empirical analyses. In the United States, government bonds are also called Treasury bonds. The Federal Reserve publishes the yield-to-maturity of Treasury bonds. However, the Treasury bond returns earned by investors are not publicly available. The purpose of this study is to provide these currently not publicly available return series and provide formulas such that these series can easily be updated by researchers. We use standard textbook formulas to convert the yield-to-maturity data to investor returns. The starting date of our series is January 1962, when end-of-month data on the yield-to-maturity become publicly available. We compare our newly created total return series with alternative series that can be purchased. Our return series are very close, suggesting that they are a high-quality public alternative to commercially available data.


2016 ◽  
Vol 13 (2) ◽  
pp. 322-333 ◽  
Author(s):  
Georgios A. Papanastasopoulos ◽  
Andreas I. Tsalas ◽  
Dimitrios D. Thomakos

The authors examine the negative relation of traditional accruals and % accruals with future returns in the Greek stock market. Positive abnormal returns from hedge portfolios on both accrual measures summarize the economic significance of this negative relation. The magnitude of returns obtained from traditional accruals is higher than that obtained from % accruals, contrary to existing evidence from the U.S. capital market. The analysis suggests that the accrual anomaly appears to be present in the Greek stock market: this has macroeconomic implications because firms with low reported accruals may exhibit higher stock returns and at this time, during the ongoing Greek capital market crisis, investors are more likely to gain substantial abnormal returns in the future – if and when the Greek economy returns to positive growth


Author(s):  
Carol Boyer ◽  
Stephen J. Ciccone

This study examines the relationship between utility stock returns and various bond or interest rate index returns.  In contrast to the S&P 500 index, utility stocks show a positive relationship to bond returns.  Utility stocks also are more correlated with corporate bond returns than the stock indexes.  Overall, utility stocks are considered an excellent diversification tool.  The upside of the stock market can be captured, but with less downside risk.


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