scholarly journals How Air Quality Affect Health Industry Stock Returns: New Evidence From the Quantile-on-Quantile Regression

2021 ◽  
Vol 9 ◽  
Author(s):  
Lu Liu ◽  
Kai-Hua Wang ◽  
Yidong Xiao
Keyword(s):  
Air Quality ◽  
Stock Returns ◽  
Structural Break ◽  
Asymmetric Effect ◽  
Lag Effects ◽  
Market Participants ◽  
Prior Literature ◽  
New Evidence ◽  
Technology Industries ◽  
Industrial Heterogeneity

This paper discusses the asymmetric effect of air quality (AQ) on stock returns (SR) in China's health industry through the quantile-on-quantile (QQ) regression method. Compared to prior literature, our study provides the following contributions. Government intervention, especially industrial policy, is considered a fresh and essential component of analyzing frameworks in addition to investors' physiology and psychology. Next, because of the heterogeneous responses from different industries to AQ, industrial heterogeneity is thus considered in this paper. In addition, the QQ method examines the effect of specific quantiles between variables and does not consider structural break and temporal lag effects. We obtain the following empirical results. First, the coefficients between AQ and SR in the health service and health technology industries change from positive to negative as AQ deteriorates. Second, AQ always positively influences the health business industry, but the values of the coefficients are larger in good air. In addition, different from other industries, the coefficients in the health equipment industry are negative, but the values of the coefficients change with AQ. The conclusions provide important references for investors and other market participants to avoid biased decisions due to poor AQ and pay attention to government industrial policies.

The asymmetric effect of air quality on cross-industries’ stock returns: evidence from China

2019 ◽  
Vol 26 (30) ◽  
pp. 31422-31433 ◽  
Author(s):  
Chi-Wei Su ◽  
Kai-Hua Wang ◽  
Ran Tao ◽  
Oana-Ramona Lobonţ
Keyword(s):  
Air Quality ◽  
Stock Returns ◽  
Asymmetric Effect

Chinese Superstition and Stock Returns: Some New Evidence

2013 ◽  
Author(s):  
Richard Chung ◽  
Ali F. Darrat ◽  
Bin Li
Keyword(s):  
Stock Returns ◽  
New Evidence

scholarly journals Asymmetric Effect of Energy Price on Commodity Price: New Evidence from NARDL and Time Frequency Wavelet Approaches

Energy ◽  
2020 ◽  
pp. 119461
Author(s):  
Mohammad Ashraful Ferdous Chowdhury ◽  
Mohammad Saeed Meo ◽  
Ajim Uddin ◽  
Md. Mahmudul Haque
Keyword(s):  
Commodity Price ◽  
Energy Price ◽  
Asymmetric Effect ◽  
Time Frequency ◽  
New Evidence

scholarly journals The time-varying effects of oil prices on oil–gas stock returns of the fragile five countries

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Begüm Yurteri Kösedağlı ◽  
Gül Huyugüzel Kışla ◽  
A. Nazif Çatık
Keyword(s):  
Stock Returns ◽  
Positive Impact ◽  
Structural Break ◽  
Oil Prices ◽  
Time Varying ◽  
Asset Pricing Model ◽  
Daily Data ◽  
Structural Break Test ◽  
The Impact ◽  
Oil Gas

AbstractThis study analyzes oil price exposure of the oil–gas sector stock returns for the fragile five countries based on a multi-factor asset pricing model using daily data from 29 May 1996 to 27 January 2020. The endogenous structural break test suggests the presence of serious parameter instabilities due to fluctuations in the oil and stock markets over the period under study. Moreover, the time-varying estimates indicate that the oil–gas sectors of these countries are riskier than the overall stock market. The results further suggest that, except for Indonesia, oil prices have a positive impact on the sectoral returns of all markets, whereas the impact of the exchange rates on the oil–gas sector returns varies across time and countries.

scholarly journals Strategic Default, Debt Structure, and Stock Returns

2016 ◽  
Vol 51 (1) ◽  
pp. 197-229 ◽  
Author(s):  
Philip Valta
Keyword(s):  
Stock Returns ◽  
Large Fraction ◽  
Convertible Debt ◽  
Debt Structure ◽  
Publicly Traded ◽  
Debt Renegotiation ◽  
Strategic Default ◽  
Expected Stock Returns ◽  
Debt Holders ◽  
New Evidence

AbstractThis paper theoretically and empirically investigates how debt structure and strategic interaction among shareholders and debt holders in the event of default affect expected stock returns. The model predicts that expected stock returns are higher for firms that face high debt renegotiation difficulties and that have a large fraction of secured or convertible debt. Using a large sample of publicly traded U.S. firms for the period 1985–2012, the paper presents new evidence on the link between debt structure and stock returns that is supportive of the model’s predictions.

The value relevance of capital expenditures and the business cycle

2018 ◽  
Vol 35 (3) ◽  
pp. 386-406 ◽  
Author(s):  
Sungsoo Kim ◽  
Brandon byunghwan Lee
Keyword(s):  
Business Cycles ◽  
Stock Returns ◽  
Value Relevance ◽  
Financial Data ◽  
Capital Expenditures ◽  
Capital Investments ◽  
Content Type ◽  
Market Participants ◽  
Business Conditions

Purpose This paper aims to clarify the relationship between corporate capital investments and business cycles. Specifically, a major purpose of this paper is to investigate whether there are inherent differences in corporate investment patterns and whether the stock market exhibits different reactions to the value relevance of capital expenditures across different business conditions. Design/methodology/approach The authors use pooled ordinary least square regressions with archival stock price data and financial data from CRSP and Compustat. The authors regress buy and hold returns on the main test variables and control variables that are identified to be related to the investment literature. Findings This paper provides empirical evidence that US firms’ capital expenditures are more value relevant to capital market participants during expansionary business cycles and, conversely, less value relevant during contractionary business cycles. This evidence validates previous literature that has found the information content of capital expenditures to be uncertain and cyclical in nature. Research limitations/implications The main limitation of this paper, as with other work dealing with stock returns and archived financial data, is that the authors try to match stock returns with contemporaneous financial data in an association study context. The precise mapping in this methodology is always challenging and has been questioned in the literature. Practical implications This paper has various implications for capital market participants. Capital expenditures are good news for investors, but they will make a better investment when firms make capital investments during an expansionary period. Creditors deciding whether to extend credit to firms would benefit from more accurate information on the viability of long-term investment. The results also suggest to creditors that an excessive number of loans during the contractionary period may be suboptimal because firms’ returns on capital investment are smaller in that period than in the expansionary period. Social implications Given the valuation of implications of long-term capital investments across different business conditions, this paper sheds light on asset allocations for mutual funds, institutional investors who are entrusted with investors’ investments including retirement funds. Originality/value This paper fulfils an identified need to study how capital investments are valued differently across different business conditions.

scholarly journals Semi-monthly effect in stock returns: new evidence from Bombay Stock Exchange

2017 ◽  
Vol 14 (3) ◽  
pp. 160-172 ◽  
Author(s):  
Shakila B. ◽  
Prakash Pinto ◽  
Iqbal Thonse Hawaldar
Keyword(s):  
Health Care ◽  
Stock Returns ◽  
Stock Exchange ◽  
Consumer Durables ◽  
Empirical Results ◽  
Significant Difference ◽  
The Mean ◽  
Daily Stock Returns ◽  
New Evidence ◽  
Care Index

Semi-monthly effect is a kind of calendar anomalies which is less explored in the financial literature. The main objective of this paper to investigate the presence of semi-monthly effect in selected sectoral indices of Bombay Stock Exchange (BSE). The study uses the daily stock returns of five sectoral indices viz S&P BSE Auto Index, S&P BSE Bankex, S&P BSE Consumer Durables Index, S&P BSE FMCG Index and S&P BSE Health Care Index for the period of 10 years starting from 1st April 2007 to 31st March 2017. The data were analyzed using two approaches namely calendar days approach and trading days approach. To test the equality of mean returns for the two halves of the month, Mann-Whitney U test is used. The empirical results of the study did not provide any evidence for the presence of semi-monthly effect in the selected sectoral indices. Nevertheless, BSE Auto Index showed significant difference in the mean returns of first half and second half of trading month during the study period.

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