Market pricing of liquidity risk: evidence from China

2019 ◽  
Vol 9 (4) ◽  
pp. 554-566
Author(s):  
Raheel Safdar ◽  
Mirza Sultan Sikandar ◽  
Tanveer Ahsan
Keyword(s):  
Risk Factor ◽  
Information Quality ◽  
Factor Model ◽  
Stock Exchange ◽  
Liquidity Risk ◽  
Market Liquidity ◽  
Firm Level ◽  
Cross Sectional ◽  
Market Pricing ◽  
Content Type

Purpose The purpose of this paper is to investigate whether liquidity risk (i.e. the returns’ vulnerability to the unexpected changes in overall market liquidity) is a priced risk factor in China. Moreover, it investigates the potential role of a stock’s information quality in reducing its liquidity risk during the period of post-non-tradable shares reforms in China. Design/methodology/approach The authors collect data of all the A-share issuing firms listed either on the Shanghai Stock Exchange or Shenzhen Stock Exchange during the period 2006–2016. The authors perform two-stage cross-sectional regression testing. First, the authors perform firm-specific time-series regressions of excess returns over Fama–French’s three-factor model and a liquidity factor. Second, to test whether firm-specific liquidity risk is a priced risk factor, the authors apply Fama and MacBeth’s regressions. Findings Firm-level asset pricing tests provide substantial evidence for market pricing of liquidity risk in China. The authors find a significant negative association between information quality and liquidity risk. The authors also find that the reduction in liquidity risk induced by better information quality is substantial enough to reduce required returns. These findings are robust to alternative measures of liquidity risk and information quality. Practical implications The study underscores that a policy initiative to enhance the information environment can significantly reduce the market volatility in China. Originality/value To the best of authors’ knowledge, this is the first study that considers the Shanghai Stock Exchange as well as Shenzhen Stock Exchange to investigate market pricing of liquidity risk in China.

Information risk, stock returns, and asset pricing: Evidence from China

2017 ◽  
Vol 30 (4) ◽  
pp. 379-394 ◽  
Author(s):  
Raheel Safdar ◽  
Chen Yan
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Empirical Literature ◽  
Firm Level ◽  
Cross Sectional ◽  
Market Pricing ◽  
Content Type ◽  
Information Risk ◽  
Accruals Quality ◽  
Three Factor

Purpose This study aims to investigate information risk in relation to stock returns of a firm and whether information risk is priced in China. Design/methodology/approach The authors used accruals quality (AQ) as their measure of information risk and performed Fama-Macbeth regressions to investigate association of AQ with future realized stock returns. Moreover, two-stage cross-sectional regression analysis was performed, both at firm level and at portfolio level, to test if the AQ factor is priced in China in addition to existing factors in the Fama French three-factor model. Findings The authors found poor AQ being associated with higher future realized stock returns. Moreover, they found evidence of market pricing of AQ in addition to existing factors in the Fama French three-factor model. Further, subsample analysis revealed that investors value AQ more in non-state owned enterprises than in state owned enterprises. Research limitations/implications The study sample comprises A-shares only and the generalization of the findings is limited by the peculiar institutional and economic setup in China. Originality/value This study contributes to market-based accounting literature by providing further insight into how and if investors value information risk, and it seeks to fill gap in empirical literature by providing evidence from the Chinese capital market.

Information risk, stock returns, and the cost of capital in China

2016 ◽  
Vol 6 (1) ◽  
pp. 77-95 ◽  
Author(s):  
Raheel Safdar ◽  
Chen Yan
Keyword(s):  
Regression Analysis ◽  
Risk Factor ◽  
Stock Returns ◽  
Cost Of Capital ◽  
Factor Model ◽  
Cost Of Debt ◽  
Firm Level ◽  
Cross Sectional ◽  
Content Type ◽  
Information Risk

Purpose – The purpose of this paper is to investigate information risk in relation to cost of capital and, also, whether information risk is a priced risk factor in China. Design/methodology/approach – The authors used accruals quality (AQ) as the measure of information risk and employed multiple regression analysis and Fama-Macbeth regressions to investigate association of AQ with cost of capital and future realized stock returns, respectively. Moreover, two-stage cross-sectional regression analysis is performed, both at firm and at portfolio levels, to test if an AQ factor is a priced risk factor in China. Findings – The authors found poor AQ being associated with higher cost of equity but this relationship is not significant in subsample of state-owned enterprises (SOEs). The results do not support any association between AQ and cost of debt in China. Further, the authors found poor AQ being positively associated with future realized stock returns and the authors also found evidence of market pricing of an AQ factor in addition to existing factors in Fama-French three-factor model in firm level analysis. However, subsample analysis revealed that AQ is not priced in case of SOEs. Research limitations/implications – The study sample is comprised of A-Shares only and the generalization of the findings is limited by the peculiar institutional setup and other unique characteristics of Chinese capital market. Originality/value – This study contributes to literature by providing novel findings on the relationship between information risk and cost of capital in Chinese context and it provides further insight into how and if investors value information risk.

The performance of the Broad Based Black Economic Empowerment compliant listed property firms in South Africa

2016 ◽  
Vol 34 (1) ◽  
pp. 3-26 ◽  
Author(s):  
Omokolade Akinsomi ◽  
Katlego Kola ◽  
Thembelihle Ndlovu ◽  
Millicent Motloung
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Stock Exchange ◽  
Sharpe Ratio ◽  
Economic Empowerment ◽  
Content Type ◽  
Black Economic ◽  
Black Economic Empowerment ◽  
The Government ◽  
The Impact

Purpose – The purpose of this paper is to examine the impact of Broad-Based Black Economic Empowerment (BBBEE) on the risk and returns of listed and delisted property firms on the Johannesburg Stock Exchange (JSE). The study was investigated to understand the impact of Black Economic Empowerment (BEE) property sector charter and effect of government intervention on property listed markets. Design/methodology/approach – The study examines the performance trends of the listed and delisted property firms on the JSE from January 2006 to January 2012. The data were obtained from McGregor BFA database to compute the risk and return measures of the listed and delisted property firms. The study employs a capital asset pricing model (CAPM) to derive the alpha (outperformance) and beta (risk) to examine the trend amongst the BEE and non-BEE firms, Sharpe ratio was also employed as a measurement of performance. A comparative study is employed to analyse the risks and returns between listed property firms that are BEE compliant and BEE non-compliant. Findings – Results show that there exists differences in returns and risk between BEE-compliant firms and non-BEE-compliant firms. The study shows that BEE-compliant firms have higher returns than non-BEE firms and are less risky than non-BEE firms. By establishing this relationship, this possibly affects the investor’s decision to invest in BEE firms rather than non-BBBEE firms. This study can also assist the government in strategically adjusting the policy. Research limitations/implications – This study employs a CAPM which is a single-factor model. Further study could employ a multi-factor model. Practical implications – The results of this investigation, with the effects of BEE on returns, using annualized returns, the Sharpe ratio and alpha (outperformance), results show that BEE firms perform better than non-BEE firms. These results pose several implications for investors particularly when structuring their portfolios, further study would need to examine the role of BEE on stock returns in line with other factors that affect stock returns. The results in this study have several implications for government agencies, there may be the need to monitor the effect of the BEE policies on firm returns and re-calibrate policies accordingly. Originality/value – This study investigates the performance of listed property firms on the JSE which are BEE compliant. This is the first study to investigate listed property firms which are BEE compliant.

Conditional stock liquidity premium: is Warsaw stock exchange different?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Szymon Stereńczak
Keyword(s):  
Emerging Markets ◽  
Stock Returns ◽  
Stock Exchange ◽  
Emerging Market ◽  
Market Liquidity ◽  
Investment Horizon ◽  
Liquidity Premium ◽  
Stock Liquidity ◽  
Content Type ◽  
Bear Market

Purpose This paper aims to empirically indicate the factors influencing stock liquidity premium (i.e. the relationship between liquidity and stock returns) in one of the leading European emerging markets, namely, the Polish one. Design/methodology/approach Various firms’ characteristics and market states are analysed as potentially affecting liquidity premiums in the Polish stock market. Stock returns are regressed on liquidity measures and panel models are used. Liquidity premium has been estimated in various subsamples. Findings The findings vividly contradict the common sense that liquidity premium raises during the periods of stress. Liquidity premium does not increase during bear markets, as investors lengthen the investment horizon when market liquidity decreases. Liquidity premium varies with the firm’s size, book-to-market value and stock risk, but these patterns seem to vanish during a bear market. Originality/value This is one of the first empirical papers considering conditional stock liquidity premium in an emerging market. Using a unique methodological design it is presented that liquidity premium in emerging markets behaves differently than in developed markets.

Financial statement effects of adopting IFRS: the Canadian experience

2018 ◽  
Vol 26 (4) ◽  
pp. 466-491 ◽  
Author(s):  
Eva K. Jermakowicz ◽  
Chun-Da Chen ◽  
Han Donker
Keyword(s):  
Financial Reporting ◽  
Stock Exchange ◽  
Panel Data Analysis ◽  
Financial Statement ◽  
Net Income ◽  
Cross Sectional ◽  
Toronto Stock Exchange ◽  
Content Type ◽  
Publicly Traded Companies ◽  
Interaction Terms

Purpose The purpose of this study is to examine the effects of adopting International Financial Reporting Standards (IFRS) on financial statements of the largest Canadian firms (S&P/TSX 60) listed on the Toronto Stock Exchange (TSX). Design/methodology/approach This study investigates the financial statement effects of 46 companies from the S&P/TSX 60 index which report under IFRS in 2011 and switched to IFRS from CGAAP. This study used panel data analysis, which can be considered as more powerful when conducting cross-sectional and in time analysis among companies. Because of weakness of Cramer statistic on R-square, the authors used interaction terms as suggested by Hope (2007). Findings Consistent with the authors’ perceptions, this study finds that significant effects of adopting IFRS are associated with industry practices. The empirical results show that the adoption of IFRS in Canada created more relevant financial reporting for book value of equity and net income in the post-adoption periods. Originality/value This study should be of interest to the US regulators considering IFRS adoption by US publicly traded companies as well as to regulators, standard setters and listed companies in all countries worldwide that are in transition to IFRS.

A psychometric evaluation of the job crafting questionnaire (JCRQ) among employees working in Jordanian universities

2019 ◽  
Vol 27 (1) ◽  
pp. 36-50 ◽  
Author(s):  
Mohammed Yasin Ghadi
Keyword(s):  
Construct Validity ◽  
Discriminant Validity ◽  
Factor Model ◽  
Five Factor Model ◽  
Psychometric Evaluation ◽  
Job Crafting ◽  
Cross Sectional ◽  
Content Type ◽  
Five Dimensions ◽  
Cross Sectional Design

Purpose Job crafting is recently argued to have five dimensions (Nielsen et al., 2017): increasing challenging demands, decreasing social demands, increasing social job resources, increasing quantitative demands and decreasing hindrance demands. The purpose of this study aimed to investigate the psychometric properties and construct validity of the five-factor model of job crafting, introduced by using a sample of Jordanian university employees. Design/methodology/approach A pre-determined survey on was used. Accordingly, 513 professional workers in several universities completed the survey. Cronbach’s alpha was used to assess the internal consistency of the scale, whereas series of confirmatory factor (CFA) analysis and exploratory factor analysis (EFA) were conducted to assess the scale’s factorial and discriminant validity. Other tests were also conducted. Findings As predicted, the proposed model best fit the data. Statistical analysis yielded several findings. First, the results of the reliability test revealed that the five sub-scales of job crafting had significant and sufficiently strong internal consistencies. Second, the results showed that the 15 items loaded significantly with a factor loadings more than 0.50. Third, the CFA results confirmed that the five-factor model best fitted the data in comparison to the one-factor model. Finally, the construct validity of JCRQ-15 was confirmed through its correlation with several validating variables. Research limitations/implications Some limitations need to be addressed. First, the sample came from participants working in specific Jordanian universities which may limit the generalization that could be made from the results to other occupations. Second, due to the cross-sectional design of the present study, the question remains whether the JCRQ-15 are stable overtime. Third, the common methods bias might be a problem because it is one of the main sources of measurement error in validation studies using self-reported scales. Originality/value The present study provided an early supportive evidence for the use of the JCRQ-15 as a valid measure of job crafting in the Jordanian context.

Relationship between corporate governance and audit switching: Iranian evidence

2017 ◽  
Vol 59 (5) ◽  
pp. 673-686
Author(s):  
Mahdi Salehi ◽  
Ali Asgar Alinya
Keyword(s):  
Corporate Governance ◽  
Design Methodology ◽  
Stock Exchange ◽  
Listed Companies ◽  
Panel Analysis ◽  
Cross Sectional ◽  
Content Type ◽  
Effective Factors ◽  
Dependent Variables ◽  
The Relationship

Purpose This paper aims to investigate the relationship between corporate governance and auditors switching of listed companies on the Tehran Stock Exchange. Design/methodology/approach To achieve the objectives of this study, 12 hypotheses developed which and tests the relationship between corporate governance and selecting and switching auditors in Iran during 2008-20014 by selecting 116 listed companies on the Tehran Stock Exchange. To test the hypotheses, the cross-sectional time-series nature of research variables data, panel analysis is used. Also, to investigate the relationship between independent and dependent variables in each year, the logistic regression is used. Findings The results of the study indicate that there is a weak relationship between corporate governance auditors switching. Therefore, it could be concluded that there are some other effective factors on which selecting and switching auditors in studied companies are more dependent. Originality/value The current study is almost the first study which has been conducted in Iran, so the results of the study may be beneficial to the Iranian conditions as well as other developing countries.

IPO valuation using the price-multiple methods: evidence from Malaysia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chui Zi Ong ◽  
Rasidah Mohd-Rashid ◽  
Kamarun Nisham Taufil-Mohd
Keyword(s):  
Initial Public Offerings ◽  
Stock Exchange ◽  
Least Square ◽  
Multiple Methods ◽  
Cross Sectional ◽  
Ols Regression ◽  
Content Type ◽  
Public Offerings ◽  
Ordinary Least Square ◽  
Valuation Method

Purpose This study aims to investigate the valuation accuracy of Malaysian initial public offerings (IPOs) by using price-multiple methods. Design/methodology/approach Cross-sectional data including 467 IPOs listed on the Malaysian stock exchange were used for the period of 2000–2017. This study used univariate ordinary least square (OLS) regression to analyse the relationship between IPOs’ price-multiples and comparable firms’ price-multiples. The test of valuation accuracy was conducted via computing valuation errors by segregating the sample into two groups: fixed-price IPOs and book-built IPOs. Furthermore, multiple OLS regression was used to examine the influence of IPO valuation on underpricing. Findings The findings of the results suggested that IPOs price-to-earnings (P/E), price-to-book (P/B) and price-to-sales (P/S) multiples were positively related to the median P/E, P/B and P/S multiples of five comparable firms matched by industry and revenues. The P/S multiple was shown to be the most significant valuation method, specifically in book-built IPOs. The findings indicated that those firms that had a lower valuation in comparison to the comparable firms were inclined to underprice their IPOs to allure investors to subscribe IPOs. In addition, book-built IPOs that had fair valuations were inclined to generate higher initial returns for investors. Practical implications The findings of this study observed implications for underwriters in avoiding the mis-valuation issue by considering the book-building mechanism. Originality/value This study attempted to explore the suitability of the valuation method to value IPOs in Malaysia.

Are financial derivatives tax havens? Evidence from China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wanyi Chen
Keyword(s):  
Stock Exchange ◽  
Tax Avoidance ◽  
Financial Derivatives ◽  
Relevant Research ◽  
Cross Sectional ◽  
Tax Havens ◽  
Content Type ◽  
Potential Risks ◽  
New Perspective ◽  
Sectional Analysis

PurposeThe purpose of this study was to examine whether the use of financial derivatives by business enterprises can avoid taxes and whether tax authorities can detect and effectively enforce measures regarding this emerging tax avoidance method.Design/methodology/approachUsing panel data from the Shanghai and Shenzhen Stock Exchange listed companies from 2008 to 2019, this study used the Heckman self-selection two-stage model and a cross-sectional analysis to test a total of 22,578 samples. Moreover, propensity score matching (PSM), instrumental variable and Heckman MLE methods were conducted in the robustness test.FindingsThe results showed that enterprises could use financial derivatives to avoid taxation. The greater the tax effort is, the more obvious the effect of the company's use of financial derivatives for tax avoidance, which proves challenging for tax authorities to identify and manage.Originality/valueThis study expands on research on corporate tax avoidance and provides a new perspective for the study of financial derivatives. Moreover, it improves relevant research in the field of tax regulation, offering practical guidance for tax authorities to govern the use of financial instruments to prevent potential risks effectively.

scholarly journals Is idiosyncratic risk ignored in asset pricing: Sri Lankan evidence?

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Moinak Maiti
Keyword(s):  
Factor Model ◽  
Stock Exchange ◽  
Investment Decision ◽  
Idiosyncratic Risk ◽  
Idiosyncratic Volatility ◽  
Sri Lankan ◽  
Cross Sectional ◽  
Volatility Risk ◽  
And Performance ◽  
Three Factor

AbstractThe present study focused on one of the important South Asian nations—Sri Lanka—to examine the role of idiosyncratic volatility in asset prices. A four-factor model with idiosyncratic volatility was designed for capturing the market, size, value and idiosyncratic risk yields better than Fama and French’s (J Financ Econ 33:3–56, 1993) three-factor model and performance of the model. Fama–MacBeth’s cross-sectional regression, residual graphs and GRS test all confirm the superiority of four-factor model over 2 three-factor models. For all MC- and IVOL-based portfolios, idiosyncratic volatility is negatively related to the expected returns and positively related for all PB-based portfolios. Finally, study findings confirm that there is a high importance for idiosyncratic volatility risk factor while considering investment decision in Colombo stock exchange. Hence, investor should compensate for holding such risk factors in the portfolio.

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