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This study investigates whether Confucian culture can influence corporate tax avoidance. We measure Confucianism using geographical-proximity based method and opt ordinary least square regression considering a sample of Chinese firms during 2004–2016. We find strong evidence that Confucian culture and tax avoidance are negatively associated and this association is less prominent for state-owned firms. Additional analysis shows that tax enforcement efforts mitigate the effect of Confucianism on tax avoidance. The results are consistent and robust to alternative measures of tax avoidance and Confucianism. Overall, the findings enrich our understanding that Confucian culture reduces tax avoidance by promoting corporate ethical behavior.

This study investigates how uncertainty (economic policy uncertainty, market-based uncertainty, firm-specific uncertainty, and CAPM-based uncertainty) impacts the Chinese listed firms’ capital structure for the period 1999–2016, and further tests whether this relationship varies for state-owned enterprises (SOEs) and non-SOEs. In addition, we examine the moderating effect of a non-formal financing channel (trade credit) on the relationship between leverage and uncertainty. The findings show that firms decrease the level of leverage with an increase in uncertainty, and this impact is less prominent for firms owned by the state. Furthermore, the results reveal that trade credit decreases the negative association between uncertainty and leverage, suggesting that firms (especially non-SOEs) adjust their financing demands by using trade credit under high uncertainty. The findings provide implications for corporations and policymakers about how capital structure decisions are influenced by different types of uncertainties in a firm’s environment.

This study investigates the effects of firm-specific, market-based, CAPM-based, and economic policy uncertainty on the relationship between leverage and investment for firms of different nature, i.e., state-owned enterprises (SOEs) and non-state-owned enterprises (non-SOEs). The study uses a panel of Chinese listed firms covering the period 1999–2016 and applies a robust two-step system Generalized Method of Moments technique to cope with the endogeneity problem. The findings show that leverage has a significant and adverse impact on non-SOEs investment behavior. The results further show that firm-specific and market uncertainties exacerbate the negative effect of leverage on investment for non-SOEs. However, economic policy uncertainty and CAPM-based uncertainty attenuate the association between leverage and investment for SOEs and non-SOEs, respectively. Overall the results suggest that the impact of leverage on investment can be mitigating or exacerbating depending on the underlying uncertainty and the nature of the enterprise.

This study investigates the effect of terms of trade (TOT) on the economic growth of China over the period 1980–2013. Autoregressive distributed lag (ARDL) model proposed by Pesaran, Shin, and Smith (2001, Journal of Applied Econometrics, 16(3), pp. 289–326) is applied for examining the short-run and long-run associations. The causality analysis between variables is analyzed by using Granger causality test and variance decomposition test. The ARDL model reveals that TOT significantly and adversely affect economic growth in the short run as well as in the long run. The results also imply positive short-run and long-run effect of labor and capital on the economic growth of China. The Granger causality results reveal significant bidirectional causal relationship between economic growth and capital, and between capital and labor force. The results show unidirectional causality from TOT to labor force. The variance decomposition results show that most of the innovation in economic growth is explained by its own innovation, while other variables have very small contributions to its innovations. The notable findings of the study suggest that TOT deterioration is relatively important for enhancing the economic growth of China.

Purpose This paper aims to examine the volatility spillover dynamics between stock and foreign exchange market of China considering subprime 2007 financial crisis period. Design/methodology/approach This study considered daily data from January 2, 2002, to December 31, 2013. The sample period has been further divided into three periods; full sample period (January 2002-December 2013), pre-crisis period (January 2002-October 2007) and post-crisis period (October 2007-December 2013). This study opted Exponential Generalized Autoregressive Heteroskedasticity (EGARCH) model for the purpose of investigating asymmetric volatility spillover. Findings The results obtained using the EGARCH model imply that volatility spillover dynamics varies from period to period. In full sample period, the results show evidence of significant unidirectional volatility spillover from foreign exchange market to stock market. In pre-crisis period, the results indicate unidirectional volatility spillover from stock market to foreign exchange market. However, in post-crisis period, the results reveal significant bidirectional volatility spillover between stock and foreign exchange market. Practical implications The results of the study are important for policy makers because understanding the behavior of the financial markets, i.e. stock and foreign exchange market, would increase the success of policies implemented in a crisis situation. The results would help investors to formulate efficient portfolios. Originality/value This study is an important contribution to the existing literature in terms of analyzing volatility spillover between stock and foreign exchange market in an emerging economy, China. Furthermore, this study explored the volatility spillover dynamics between the two markets by considering the pre and post subprime Asian crisis period.

This study investigates the Islamic and conventional Index integration over the period 3rd September, 2008 to 30th September, 2015. This study uses Johansen and Juselius cointegration method for exploring the long run association. The short run association is explored using VECM model. The volatility spillover dynamics is examined using the GARCH and EGARCH models. The robustness of the results is analyzed by using Granger causality method, Variance Decomposition method, and Impulse Response Function. The estimation results show significant long run and short run association between Islamic and Conventional index. Furthermore, this study finds asymmetric bidirectional volatility spillovers between Islamic and conventional index. The findings suggest that domestic investors have low diversification opportunities by adding both Islamic and conventional index in their portfolios. However, international investors can add one of the indices in their portfolios, in order to benefit from portfolio diversification. Keywords: Islamic index, Conventional index, EGARCH, GARCH, Pakistan

Purpose The purpose of this paper is to investigate the impact of the frequency of information acquisition on the frequency of stock trading. The authors also examined if the Big Five personality traits of investor influence the association between information acquisition and stock trading behavior. Design/methodology/approach The authors adopted NEO Five-Factor Inventory (Costa and McCrae, 1989) inventory to measure the Big Five personality traits of investors and examined the data collected from 541 individual investors of the Chinese stock market. To overcome the potential endogeneity bias, the authors followed two-stage least square method for estimating endogenous covariate by employing instrumental variable analysis. The authors performed probit regression to evaluate the moderating influence of investor personality traits on the association between information acquisition and stock trading behavior. The authors also performed several other tests to check the robustness of the key findings. Findings This research confirmed the previous findings that the more frequently investors acquire information, the more often they trade in stocks. Moreover, the authors added to the existing literature by providing empirical evidence that the Big Five personality traits moderate the relationship of information acquisition with stock trading behavior. Information acquisition tends to increase stock trading frequency in investors with conscientiousness, extraversion and agreeableness traits. On the other hand, it also has the tendency to decrease the intensity of stock trading in investors with openness and neuroticism traits. Research limitations/implications The theoretical model in this study seeks to explain that the psychological factor, namely, investor personality, influences the way an investor interprets signals from information which in turn influences the investor decision to trade in securities. This research suggests that psychological characteristics of investors can be of relevance for policy makers in their attempts to improve their business in the financial services industry. Originality/value This study combines both information search literature and behavioral finance literature to investigate whether or not the information acquisition that relates to investors’ asset allocation decisions is influenced by investor personality. The study offers new theoretical insights into investors’ behavior due to the characteristics of the Chinese stock market which are uniquely different from other stock markets in the world. No previous study has been conducted so far in the Chinese stock market to explore variations in the impact of investors’ information acquisition on their stock trading by the Big Five personality and this paper strives to fill this research gap.

This study is an attempt to examine the income and price elasticities of crude oil demand in Pakistan using annual data from 1981 to 2013. The short-and long-run relationship was analysed by autoregressive distributed lag (ARDL) bounds testing approach. The results reveal that income and exchange rate show significant positive relationship with crude oil demand in short run as well as in long run. The analyses also show that crude oil price and domestic production have negative effect in both short and long run on crude oil demand. The income is found to be a strong determinant of crude oil demand in both short and long run. This study suggests that strategies would be formulated and adopted which may control the demand of crude oil without affecting the economic growth of Pakistan.

This paper analyzes the effect of terms of trade on economic growth of Pakistan considering annual time series data from 1980 to 2013. This study opted autoregressive distributed lag model for purpose of analyzing short- and long-run relationship. The results reveal significant negative long-run and short-run effects of terms of trade on economic growth. The analyses also indicate significant positive long-run and short-run effects of labour on economic growth. Further, capital stock is influencing positively the economic growth in long run only. We suggest that economic policies may be implemented to deteriorate terms of trade which will further enhance the economic growth of Pakistan. JEL: F13, F43

The purpose of this study is to investigate the presence of anomalies named; January effect, Islamic calendar effect, Day of the week effect, Time of the month effect, Turn of the month effect and Half of the month effect in an Islamic equity market of Pakistan. This study considered daily data from 30 September 2008 to 30th June 2015. The behavior of the data is tested by using the descriptive statistics method. The Generalized Auto Regressive Conditional Heteroskedasticity Model (GARCH) model is applied to capture the seasonality in returns and volatility in the Islamic equity market. The results of this study highlight certain interesting key findings. The notable findings indicates the absence of prominent January effect and the Ramadan effect. However, this study finds significant Day of the week effect, Turn of the month effect, Time of the month effect and Half of the month effect in the Islamic index. This study suggests that investors would be able to gain abnormal returns, if they would ...

Purpose The purpose of this paper is to examine the role of product market competition in shaping a firm’s reporting quality (RQ). Design/methodology/approach This research uses an aggregate measure of a firm’s RQ, considering both the absolute level of discretionary accruals (DA) and the quality of accruals, using modified Jones model and Francis et al. (2005) accruals quality model, respectively. Whereas, the Herfindahl-Hirschman index and the Lerner index are used to measure product market competition. Further, this study considers the transitional economy of China and employs panel data estimation techniques for testing the hypothesized relationships. Findings This study finds that firms operating in more competitive industries are associated with higher RQ. This association still prevails when analysis is done using the component measures of RQ (i.e. the absolute level of DA and the quality of accruals). Overall, the empirical results provide evidence on the disciplining role of product market competition among Chinese firms. Practical implications Given the complex governance structures and specific kind of agency problems in Chinese corporations, this study suggests that product market competition may play an external disciplining role to improve the corporate information environment. Originality/value This research explores the role of product market competition for a firm’s RQ in Chinese-listed companies, while the prior studies on the same topic are mostly from the developed countries.

In recent years, the question of how uncertainty influences corporate decisions has received greater interest among academics, researchers, and corporations. This study is an attempt to investigate how uncertainties (firm-specific uncertainty (fsu), market-based uncertainty (mu), and economic policy uncertainty (epu)) influence research and development (R&D) investment and to further examine whether this relation is moderated by product market competition across firms of different sizes. Using a sample of Chinese listed firms covering 2000–2017, this study applies a two-step system GMM model to perform estimations and control for endogeneity issues. The findings show that uncertainties (fsu, mu, and epu) negatively influence R&D investment and that this negative relationship is more prominent for firms operating in competitive industries. In concentrated industries, however, the negative impact of uncertainty is mitigated for large firms, which have more internal resources and better access to external financing. This study contributes to real options theory by illustrating how different forms of uncertainty embedded in a firm’s internal and external environment reduce R&D investment, and by indicating how this relationship is moderated by product market competition.

Purpose - This study aims to investigate the market timing strategy in different market conditions (i.e. up, down, normal and in-financial-crisis situation) in the emerging market of Pakistan over the period 1995 to 2015. Furthermore, this study tests the validity of the capital asset pricing model (CAPM) and Fama and French model. Design/methodology/approach - This study considers monthly stock returns of 167 firms and constructs six different portfolios on the basis of different size and book to market ratio. The Treynor and Mazuy model is used to capture the market timing strategy. Findings - The results indicate evidence of the market timing in normal market conditions. However, there is less supportive evidence of market timing in up-market, down-market and in-financial-crisis situations. This study also confirms the validity of the capital asset pricing model and Fama and French three-factor model with strong support of value premium and size premium in the stock market. Practical implications - The findings of this study are helpful to companies in estimating the cost of issuing equity more accurately. The investors can use market timing to make their investment in a more better and profitable manner. Originality/value - Unlike other previous studies, this study considers an extended period to test the validity of the capital asset pricing model and Fama and French model. In addition, this study is novel in testing the marketing timing of the firms in the context of emerging economy of Pakistan. Objetivo - Este estudio tiene como objetivo investigar la estrategia de sincronización del mercado en diferentes condiciones de mercado (es decir, situación al alza, a la baja, normal y en situación de crisis financiera) en el mercado emergente de Pakistán durante el período 1995 a 2015. Además, este estudio prueba la validez de la modelo de valoración de activos de capital (CAPM) y modelo Fama y francés. Diseño / metodología / enfoque - Este estudio considera los rendimientos mensuales de las acciones de 167 empresas y construye seis carteras diferentes sobre la base de diferentes tamaños y relaciones entre libros y mercado. El modelo de Treynor y Mazuy se utiliza para capturar la estrategia de sincronización del mercado. Recomendaciones - Los resultados indican evidencia de la sincronización del mercado en condiciones normales de mercado. Sin embargo, hay menos evidencia de apoyo de la sincronización del mercado en situaciones de mercado al alza, a la baja y en situaciones de crisis financiera. Este estudio también confirma la validez del modelo de fijación de precios de los activos de capital y el modelo de tres factores de Fama y el francés con un fuerte apoyo de la prima de valor y la prima de tamaño en el mercado de valores. Implicaciones prácticas - Los hallazgos de este estudio son útiles para que las empresas estimen con mayor precisión el costo de emisión de acciones. Los inversores pueden utilizar la sincronización del mercado para hacer su inversión de una manera mejor y más rentable. Originalidad / valor - A diferencia de otros estudios anteriores, este estudio considera un período extendido para probar la validez del modelo de valoración de activos de capital y el modelo francés y de Fama. Además, este estudio es novedoso al probar el momento de comercialización de las empresas en el contexto de la economía emergente de Pakistán.

In this study, we conjecture that Confucianism can curb the managerial bad news suppression behavior and consequently stock price crash risk. Using a unique sample of geographical-proximity-based Confucianism variables and Chinese nonfinancial firms over the period 2004–2014, we show that Confucianism is negatively associated with stock price crash risk. Further, we document that analyst coverage and institutional ownership, as formal governance mechanisms, attenuate the effect of Confucianism on stock price crash risk. The results are consistent to a battery of robustness tests and additional analyses. Overall the findings suggest that Confucianism, as an ethical system, mitigates crash risk in Chinese firms.

This study investigates the financing behavior of Chinese firms in tranquil and crisis situation over the period 2002–2014. We divide the sample into three sub-periods; pre-crisis, during-crisis, and post-crisis. The results indicate some noteworthy findings as this study incorporates firm and country-level factors. We find that the firms’ financing choice depends on the market conditions. The results show that Chinese firms have significantly decreased their dependence on leverage after the eruption of global financial crisis. Furthermore, we find that financial crisis of 2007–2008 has significantly affected the explanatory power of all factors. Moreover, profitability, size, and liquidity are important factors determining capital structure of the firm in financial crisis period.

Background: The aim of this study is to investigate the effect of the oil price and its volatility on the stock market of Pakistan before and after the 2007 financial crisis period. Methods: The analyses are carried out on daily data for the period from July 31, 2000 to July 31, 2014. This study uses several econometric techniques for the analyses, namely, the Johansen-Juselius cointegration test, generalized autoregressive conditional heteroskedasticity (GARCH) model, exponential generalized autoregressive conditional heteroskedasticity (EGARCH) model, variance decomposition method, and impulse response function. Results: The results of the cointegration method indicate a significant long-run association between stock market and oil prices in the pre-crisis period. The EGARCH model shows that oil price returns have a significant effect on stock market returns in both sub-periods, while the result for the GARCH model is significant only in the post-crisis period. We find a significant effect of oil price volatility on the stock market in both sub-periods from the GARCH model. Furthermore, the EGARCH model shows an asymmetric effect of oil price volatility on the stock market in the pre-crisis period. Variance decomposition shows that stock market variations are mostly explained by self-innovation. Moreover, the impulse response function results show that oil price shocks affected the stock market adversely in the pre-crisis period but positively in the post-crisis period. Conclusions: This study suggests that economic policymakers and investors should consider the oil price as an important factor affecting stock market returns.

Background: This study examined the volatility spillover effects between the stock markets of Asian countries, i.e., Pakistan, India, Sri Lanka, China, Japan, and Hong Kong. Methods: The daily data was considered from the period 4 January 1999 to 1 January 2014, consisting five trading days from Monday to Friday. The volatility spillover between stock markets was captured by using the generalized autoregressive conditional heteroskedasticity (GARCH) model. Results: The empirical analyses show evidence of significant bidirectional spillover of return and volatility between China and Japan. The results also show significant bidirectional volatility transmission between the equity markets of the following countries: Hong Kong and Sri Lanka, China and Sri Lanka. The significant unidirectional transmissions of stock market volatility are found to be flowing from India to China, Sri Lanka to Japan, Pakistan to Sri Lanka, and Hong Kong to India and Japan. Conclusions: These results are important for economic policy makers in order to safeguard the financial sector from international financial shocks. The investors can use this information for making efficient portfolio which will reduce their risk and enhance their returns.