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The purpose of this paper is to investigate the relationship between tax avoidance and earnings persistence in the light of a developing economy, with the main focus on China.

In the analysis, the author conducts a survey on the tax avoidance situation of Chinese listed companies from 2012 to 2020. Then, a multivariate regression analysis is performed in order to analyse the relationship between corporate tax avoidance and earnings persistence.

The findings of the present study show that tax avoidance has a significant positive effect on earnings persistence. However, when the degree of tax avoidance is high, the “risk effect” of tax avoidance exceeds the “value effect”, and tax avoidance will reduce the persistence of earnings. This conclusion is even more prominent when the company is non-state-owned. Further research shows the increase of institutional investors’ shareholding ratio can improve “value effect” of tax avoidance, lessen “risk effect” of tax avoidance, and positively affect the relationship between tax avoidance and earnings persistence.

This study provides evidence for investors to understand the dual effect of tax avoidance on earnings persistence. The results may have implications for regulatory bodies. They can provide a better understanding of the corporate governance role of institutional investors in curbing opportunistic tax avoidance.

This study enriches the research on tax avoidance effects by analysing the impact of tax avoidance on earnings persistence. This study also compensates for the shortcomings of analysing earnings persistence mainly from the perspective of tax differences in the past, and promotes the study of the corporate governance effects of institutional investors under different levels of tax avoidance.

The purpose of this paper is to address the problem of designing league regulatory mechanisms given the multi-dimensionality of competitive balance and the proliferation of empirical measures.

A three-stage approach is adopted. Firstly, a taxonomy of empirical measures of competitive balance is proposed, identifying two fundamental dimensions – win dispersion and performance persistence. Secondly, a simple two-team model of league competitive balance is used to explore the dispersion–persistence relationship. Third, correlation and regression analysis of seven empirical measures of competitive balance for the 18 best-attended top-tier domestic football leagues in Europe over the 10 seasons, 2008–2017, are used to (1) validate the proposed categorisation of empirical measures into two dimensions; and (2) investigate the nature of the dispersion–persistence relationship across leagues.

The simple model of league competitive balance implies a strong positive dispersion–persistence relationship when persistence effects increase for big-market teams relative to those for the small-market teams. However, the empirical evidence indicates that while leagues such as the Spanish La Liga exhibit a strong positive dispersion–persistence relationship, other leagues show little or no relationship, and some leagues, particularly, the English Premier League and top-tier divisions in Belgium and Netherlands, have a strong negative dispersion–persistence relationship. The key policy implication for leagues is the importance of understanding the direction and impact of dispersion and persistence effects on the demand for league products.

The variability in the strength and direction of the dispersion–persistence relationship across leagues is an important result that undermines the “one-size-fits-all” approach to designing league regulatory mechanisms.

The aim of this study is to compare volatility persistence with daily volatility and to analyze the asymmetry effect of volatilities in stock markets of emerging economies. Using daily observations of stock market indices of selected major emerging countries during the period of January 1, 2002 to December 31, 2018, the authors estimate the persistence, the half-life measure of volatility and the daily volatility of the return series using the GARCH model application. The authors also examine the leverage effect on stock market returns using the EGARCH model estimation. In addition, the authors investigate the impact of the 2008 global financial crisis on various volatility measures and the leverage effect of emerging stock market returns. The authors then examine and compare the different speeds of mean reversion, volatility persistence and leverage effects in the national stock market indices during the pre-crisis, crisis, and post-crisis periods. The authors hereby present evidence that the effects of negative shocks are significantly larger than those of positive shocks in emerging stock markets throughout their different sample periods.

Previous evidence has shown a generally positive relationship between continuously developed innovation, known as innovation persistence and employment growth in firms. This study investigates whether firm size moderates this relationship and how, considering persistent product and process innovation.

The authors studied the influence of firm size on the relationship between innovation persistence and employment using a 10-year panel database of firms based on national innovation surveys. The authors consider firm size as sales and measure innovation persistence through the hazard rate of innovation spells. To assess the main model, they use a system generalized method of moments (GMM) estimator.

The authors' main findings indicate that firm size negatively moderates the relationship between persistent innovation and employment growth. These results suggest that the positive effects of product and process persistent innovation on employment growth decrease as firm size increases. The authors also find evidence indicating that the moderator role of firm size is greater when firms innovate more persistently. Robustness tests with different specifications confirm the results.

The authors show that firm size negatively affects the strength of the relationship between innovation persistence and employment growth in product and process innovations. The authors also show that the moderator role of firm size is greater when firms are more persistent in generating product and process innovation. Additionally, using a panel dataset, they provide evidence from a sample of firms in a developing country where no studies on this matter have previously been conducted.

The purpose of this paper is to investigate whether earnings restatements have a larger effect on the earnings quality (proxied by persistence) of restating firms relative to similar non‐restating firms and if restated earnings are more persistent than the originally reported earnings.

Cross‐sectional earnings persistence models are used to analyze how earnings persistence changes around restatements for both the originally reported earnings and the new restated earnings numbers. The study looks at restatements from 1997 through 2006.

The findings show that restating firms exhibit a larger increase in earnings persistence from the two‐year period before to the two‐year period after the restatements. Results also show that the restated portion of earnings is incrementally persistent relative to the originally reported earnings and the incremental persistence, although mitigated, is still significant after the passage of the Sarbanes‐Oxley Act. In addition, the evidence shows that core account restatements are associated with more persistent earnings relative to non‐core restatements in the two‐year period after the most recent restatement year.

The paper presents the first study to examine earnings restatements' impact on the future earnings persistence of restating firms in the context of the restated financial period as opposed to the restatement announcement period.

The purpose of this paper was to examine the joint effects of regulatory focus, entrepreneurial persistence and institutional support on new venture performance.

This paper uses a random survey approach to sample 204 new ventures from Ghana. The moderated mediation method was used to analyse the survey data.

The findings from this paper show that entrepreneurs' promotion focus positively relates to persistence while prevent focus negatively influences persistence. In addition, persistence mediates the link between regulatory focus (promotion and prevention focus) and new venture performance. These relationships are positively moderated by perceived institutional support.

Using data from only the manufacturing sector in Ghana limits the generalisability of this paper. In addition, persistence is not observed or measured directly in this paper but is only used as self-reporting variable that captures an individual's tendency to persist.

The contribution of this paper is threefold. First, this paper contributes to regulatory focus literature by enhancing our knowledge on how self-regulation could help explain entrepreneurial decision-making. Second, this paper broadens self-regulation literature by adding institutional context as a moderating variable. Third, this paper helps clarify the potential role of persistence in entrepreneurship.

The purpose of this paper is to examine the moderating effects of cognitive style dimensions on the relationship between entrepreneurs’ optimism and persistence.

This theoretically derived research model is empirically validated using survey data from 198 small and medium-sized enterprises in Ghana.

The study’s empirical findings are that the relationship between entrepreneurs’ optimism and entrepreneurial persistence is enhanced at higher levels of cognitive planning and creating styles. Somewhat interestingly, cognitive knowing style negatively moderates the relationship between optimism and entrepreneurial persistence.

The cross-sectional design of the study does not permit causal inferences to be made regarding the variables examined. Future studies may use longitudinal design to examine the causal links of the variables.

The results of this paper can assist entrepreneurs and policy-makers in understanding the dynamics and processes involved in entrepreneurial decision making. The understanding of this issue can promote the development and maintenance of entrepreneurial ventures.

The paper has a strong theoretical value as it relies on cognitive explanations of human behaviour, and seeks to advance the theoretical field by demonstrating the value of cognitive style within the domain of entrepreneurship.

The impact of volatility crush can be devastating to an option buyer and results in a substantial capital loss, even with a directionally correct strategy. As a result, most volatility plays are for option sellers, but the profit they can achieve is limited and the sellers carry unlimited risk. This paper aims to demonstrate the dynamics of implied volatility (IV) as being influenced by effects of persistence, leverage, market sentiment and liquidity. From the exploratory factor analysis (EFA), they extract four constructs and the results from the confirmatory factor analysis (CFA) indicated a good model fit for the constructs.

This section describes the methodology used for conducting the study. This includes the study area, study approach, sources of data, sampling technique and the method of data analysis.

Although there is extensive literature on methods for estimating IV dynamics during earnings announcement, few researchers have looked at the impact of expected market maker move, IV differential and IV Rank on the IV path after the earnings announcement. One reason for this research gap is because of the recent introduction of weekly options for equities by the Chicago Board of Options Exchange (CBOE) back in late 2010. Even then, the CBOE only released weekly options four individual equities – Bank of America (BAC.N), Apple (AAPL.O), Citigroup (C.N) and US-listed shares of BP (BP.L) (BP.N). The introduction of weekly options provided more trading flexibility and precision timing from shorter durations. This automatically expanded expiration choices, which in turned offered greater access and flexibility from the perspective of trading volatility during earnings announcement. This study has demonstrated the impact of including market sentiment and liquidity into the forecasting model for IV during earnings. This understanding in turn helps traders to formulate strategies that can circumvent the undefined risk associated with trading options strategies such as writing strangles.

The first limitation of the study is that the firms included in the study are relatively large, and the results of the study can therefore not be generalized to medium sized and small firms. The second limitation lies in the current sample size, which in many cases was not enough to be able to draw reliable conclusions on. Scaling the sample size up is only a function of time and effort. This is easily overcome and should not be a limitation in the future. The third limitation concerns the measurement of the variables. Under the assumption of a normal distribution of returns (i.e. stock prices follow a random walk process), which means that the distribution of returns is symmetrical, one can estimate the probabilities of potential gains or losses associated with each amount. This means the standard deviation of securities returns, which is called historical volatility and is usually calculated as a moving average, can be used as a risk indicator. The prices used for the calculations are usually the closing prices, but Parkinson (1980) suggests that the day’s high and low prices would provide a better estimate of real volatility. One can also refine the analysis with high-frequency data. Such data enable the avoidance of the bias stemming from the use of closing (or opening) prices, but they have only been available for a relatively short time. The length of the observation period is another topic that is still under debate. There are no criteria that enable one to conclude that volatility calculated in relation to mean returns over 20 trading days (or one month) and then annualized is any more or less representative than volatility calculated over 130 trading days (or six months) and then annualized, or even than volatility measured directly over 260 trading days (one year). Nonetheless, the guidelines adopted in this study represent the best practices of researchers thus far.

This study has indicated that an earnings announcement can provide a volatility mispricing opportunity to allow an investor to profit from a sudden, sharp drop in IV. More specifically, the methodology developed by Tan and Bing is now well supported both empirically and theoretically in terms of qualifying opportunities that can be profitable because of the volatility crush. Conventionally, the option strategy of shorting strangles carries unlimited theoretical risk; however, the methodology has demonstrated that this risk can be substantially reduced if followed judiciously. This profitable strategy relies on a set of qualifying parameters including liquidity, premium collection, volatility differential, expected market move and market sentiment. Building upon this framework, the understanding of the effects of persistence and leverage resulted in further reducing the risk associated with trading options during earnings announcements. As a guideline, the sentiment and liquidity variables help to qualify a trade and the effects of persistence and leverage help to close the qualified trade.

The authors find a positive association between the effects of market sentiment, liquidity, persistence and leverage in the dynamics of IV during earnings announcement. These findings substantiate further the four factors that influence IV dynamics during earnings announcement and conclude that just looking at persistence and leverage alone will not generate profitable trading opportunities.

The impact of volatility crush can be devastating to the option buyer with substantial capital loss, even for a directionally correct strategy. As a result, most volatility plays are for option sellers; however, the profit is limited and the sellers carry unlimited risk. The authors demonstrate the dynamics of IV as being influenced by effects of persistence, leverage, market sentiment and liquidity. From the EFA, they extracted four constructs and the results from the CFA indicated a good model fit for the constructs. Using EFA, CFA and Bayesian analysis, how this model can help investors formulate the right strategy to achieve the best risk/reward mix is demonstrated. Using Bayesian estimation and IV differential to proxy for differences of opinion about term structures in option pricing, the authors find a positive association among the effects of market sentiment, liquidity, persistence and leverage in the dynamics of IV during earnings announcement.

A number of studies have examined the role of typical demand supply factors in explaining inflation. The contribution in this chapter is to investigate the possible role of product market imperfections on inflation and inflation persistence, especially among emerging market economies. Using a backward-looking Phillips curve framework in a dynamic panel framework of 105 countries over the 2008–2011 period, our findings suggest that product market competition, as measured by the World Economic Forum’s measure of goods market imperfections do have a significant impact on inflation persistence. On average, higher competition and efficiency in product markets reduces the inflation persistence effect especially in the MENA region and countries at lower stages of development.

The purpose of this paper is to explore location effects on firm performance in emerging economies simultaneously accounting for permanent and transitory country, industry, country-industry and firm-specific effects.

The authors utilize a novel methodological approach: an autoregressive, cross-classified, mixed-effect linear regression model that allows them to simultaneously estimate a permanent (long-run) component, a transitory (short-run) component and the speed of decay of the transitory (autoregressive) component.

The authors find that the firm-specific effect is most important in explaining permanent and transitory differences. The country–industry interaction is the second most important effect, confirming that industries are not completely global and are still subject to country conditions. Broader views of the country–business context and industry conditions taken independently would be incomplete unless the country–industry interactions are considered. In other words, country matters because industry matters and vice versa. Country effects are also significant, but only transitory emphasizing the dynamic nature of emerging economies and the shortcomings that may result from considering the country business context static. Finally, the authors find that the chances of achieving sustainability of abnormal returns in emerging economies are dynamic and have significantly increased recently.

To the authors' knowledge, this is the first to simultaneously estimate country, industry, country–industry and firm effects on the permanent and transitory components of abnormal returns in a sample of emerging economies. The study generates important evidence regarding the sources of sustainable differentiation for firms competing in emerging economies. Finally, the authors find that chances of achieving sustainability of abnormal returns in emerging economies are dynamic and have significantly increased recently.