scholarly journals Are Capital Market Anomalies Common to Equity and Corporate Bond Markets? An Empirical Investigation

2017 ◽  
Vol 52 (4) ◽  
pp. 1301-1342 ◽  
Author(s):  
Tarun Chordia ◽  
Amit Goyal ◽  
Yoshio Nozawa ◽  
Avanidhar Subrahmanyam ◽  
Qing Tong

Corporate bond returns exhibit predictability in a manner consistent with efficient pricing. Many equity characteristics, such as accruals, standardized unexpected earnings, and idiosyncratic volatility, do not impact bond returns. Profitability and asset growth are negatively related to corporate bond returns. Because firms that are profitable or have high asset growth (and hence more collateral) should be less risky, with lower required returns, the evidence accords with the risk–reward paradigm. Past equity returns are positively related to bond returns, indicating that equities lead bonds. Cross-sectional bond return predictors generally do not provide materially high Sharpe ratios after accounting for trading costs.

Author(s):  
Jing-Zhi Huang ◽  
Zhan Shi

Recently, there has been a fast-growing literature on the determinants of corporate bond returns, in particular, the driving force of cross-sectional return variation. In this review, we first survey recent empirical studies on this important topic. We discuss cross-sectional evidence as well as time-series evidence. We then present a model-based analysis of individual corporate bond returns using the structural approach for credit risk modeling. We show, among other things, that the expected corporate bond return implied by the Merton model predicts 1-month-ahead corporate bond returns in the cross section. Expected final online publication date for the Annual Review of Financial Economics, Volume 13 is November 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


2017 ◽  
Vol 25 (4) ◽  
pp. 509-545
Author(s):  
Jaeuk Khil ◽  
Song Hee Kim ◽  
Eun Jung Lee

We investigate the cross-sectional and time-series determinants of idiosyncratic volatility in the Korean market. In particular, we focus on the empirical relation between firms’ asset growth rate and idiosyncratic stock return volatility. We find that, in the cross-section, companies with high idiosyncratic volatility tend to be small and highly leveraged, have high variance of ROE and Market to Book ratio, high turnover rate, and pay no dividends. Furthermore, firms with extreme (either high positive or negative) asset growth rates have high idiosyncratic return volatility than firms with moderate growth rates, suggesting the V-shaped relation between asset growth rate and idiosyncratic return volatility. We find that the V-shaped relation is robust even after controlling for other factors. In time-series, we find that firm-level idiosyncratic volatility is positively related to the dispersion of the cross-sectional asset growth rates. As a result, this study is contributed to show that the asset growth is the most important predictor of firm-level idiosyncratic return volatility in both the cross-section and the time-series in the Korean stock market. In addition, we show how the effect of risk factors varies with industries.


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>


2015 ◽  
Vol 05 (04) ◽  
pp. 1550021 ◽  
Author(s):  
Belén Nieto ◽  
Alfonso Novales ◽  
Gonzalo Rubio

In this paper, we address the issue of how macroeconomic conditions affect corporate bond volatility. We employ the GARCH-MIDAS multiplicative two-component model of volatility that distinguishes the short-term dynamics from the long-run component of volatility. Both the in-sample and out-of-sample analysis show that recognizing the existence of a stochastic low-frequency component captured by macroeconomic and financial indicators may improve the fit of the model to actual bond return data, relative to the constant long-run component embedded in a typical GARCH model.


2013 ◽  
Author(s):  
Stephen E. Christophe ◽  
Michael G. Ferri ◽  
Jim Hsieh ◽  
Tao-Hsien Dolly King

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