Tick size and market quality: Simulations based on agent‐based artificial stock markets

This paper investigates the way that minimum tick size affects market quality based on an agent‐based artificial stock market. Our results indicate that stepwise and combination systems can promote market quality in certain aspects, compared with a uniform system. A minimal combination system performed the best to improve market quality. This is the first study to analyse tick size systems that remain at the theory stage and compare four types of system under the same experimental environment. The results suggests that a minimal combination system could be considered a new direction for market policy reform to improve market quality.     

新审计报告与资本市场的信息反应——来自股价同步性和股价预测能力双维度的经验证据

新审计报告准则的施行旨在增加审计报告的信息含量及其决策相关性。以2015—2018年沪深非金融上市公司为样本，研究发现新审计报告施行后，上市公司的股价同步性显著下降，公司特质信息含量比例显著上升，股价特质信息效率显著提升,同时新审计报告的施行产生了增量信息。在此基础上，进一步分析新审计报告准则对资本市场特质信息效率的传导机制，发现投资者关注度对新审计报告(关键审计事项的披露数量)影响资本市场特质信息效率的过程中表现出显著的部分中介效应。分样本检验的结果表明，虽然AH股共同上市公司和非AH股共同上市公司之间的结果存在细微差异但整体趋势相似。通过对新审计报告的影响的分析，可以更好地理解该政策对资本市场的影响。     

The Role of Financial Ratios in the Variance of Stock Trading Volume in Emerging Stock Markets

The study used quarterly panel data of 6 years from 2010 to 2015 of all companies listed on both Vietnamese stock markets including the Ho Chi Minh City Stock Exchange and Ha Noi Stock Exchange, and on three leading industries consisting of insurance-banking, foodstuff, and real estate to explore the relationship among four key financial ratios and stock trading volume. Two models, fixed effects model (FEM) and random effects model (REM), with robust standard errors, were applied for this study. The key findings showed that earnings before tax on sales, debt on owner’s equity, and owner’s equity on total assets significantly influenced trading volume.     

The stock market effects of a securities transaction tax: Quasi-experimental evidence from Italy

In the aftermath of the financial crisis, in several countries new levies on the financial sector have been proposed and in some cases implemented. We focus in particular on the recent introduction of a securities transaction tax (STT) in Italy. A peculiarity of the Italian STT is that it only concerns stocks of corporations with a market capitalization above € 500 million. We exploit this feature via a differences-in-differences approach – comparing taxed and non-taxed stocks before and after the introduction of the tax – and via a regression discontinuity design – comparing the performance of stocks just above the threshold with those just below. Focusing on the regulated market, we find that the new tax reduced liquidity, but it left transaction volumes and returns substantially unaffected. There is also evidence – although not conclusive – that the tax increased volatility.     

On the volatility spillover between lslamic and conventional stock markets: A quantile regression analysis

This paper aims at analyzing the degree and structure of interdependencies in terms of volatility (transmission, contagion) between Islamic and conventional stock markets on calm periods and at times of financial fragility and crisis. We focused on the recent financial instability periods and used the Quantile Regression-based GARCH model. Main results lead to very interesting conclusions. First, it has been found that Islamic stock markets are not totally immune to the global financial crisis. Second, a very strong interdependence is sensed from the conventional to the Islamic stock markets, especially, from the conventional developed markets to the Islamic Emerging and Arab markets and to the Islamic developed markets. Finally, it has been proved that the interdependencies from conventional to Islamic markets are propagated between Islamic markets. Our findings suggest that the Islamic finance industry does not seem able to provide cushion against economic and financial shocks that affect conventional markets.     

What Drives the Consequences of Intentional Misstatements? Evidence from Rating Analysts’ Reactions

This paper aims to identify the mechanisms through which intentional misstatements adversely affect firms by analyzing rating analysts’ reaction to misstatements. In order to identify the mechanisms through which the misstatement affects firms’ credit ratings, we analyze the content of rating reports. Rating analysts are concerned about seven different mechanisms. They are most concerned about misstatement‐related violations of debt covenants that increase a firm's liquidity risk. We find that, subsequent to an intentional misstatement becoming publicly known, credit ratings of misreporting firms are adversely affected for up to seven years. The adverse impact of an intentional misstatement on a firm's credit rating is most pronounced in cases in which rating analysts mention concerns about misstatement‐related violations of covenants. Our results suggest that these covenant violations are the most severe mechanism through which misstatements adversely affect firms’ creditworthiness.     

An Exploratory Study on Nonlinear Causality Among the MILA Markets

According to conventional portfolio theory, an increase in the interconnectedness of international financial markets may reduce the potential for constructing diversified portfolios. This article explores the implications of the creation of the Latin American Integrated Market (MILA)¹ over the dependence structure of its members using correlation and cointegration analysis as well as linear and nonlinear Granger causality tests. The creation of MILA aimed to enhance the integration process that Latin American financial markets “naturally” present while still providing diversification opportunities to investors. The results of our empirical analysis suggest that such objective is being achieved. Evidence of a rise in cross-country linear correlations and their linear causal relationship supports the idea of an increasing financial integration process in the region, while the absence of cointegration and the weakening of the nonlinear causal relationship favors the creation of diversified regional portfolios. These findings provide valuable insights for investment portfolio designers, regulators, and supervisors.     

The effects of haze pollution on stock performances: evidence from China

Haze pollution has become the most important environmental issue in China in recent years. Using the data of PM_2.5 concentration and stocks of listed companies located in Beijing between 2010 and 2014, this article investigates the effects of haze pollution on stock performances. Empirical results indicate that haze pollution has significant negative effects on stock returns and significant positive effects on stock volatilities, through the channel of investors’ mood. Furthermore, the effects of haze pollution on stock returns emerge gradually and the effects of haze pollution on stock volatilities weaken gradually over time during a trading day.     

Financing Renewable Energy Projects in Major Emerging Market Economies: Evidence in the Perspective of Sustainable Economic Development

This research paper aims to explore the role of FDI inflows and stock market development on the promotion of renewable energy consumption. Furthermore, study investigates the effect of renewable energy consumption on CO₂ emissions and economic output across a panel of Brazil, China, India, and South Africa. Study utilizes annual data from 1990 to 2012 and employs various robust panel econometric techniques. The findings confirm that both FDI inflows and stock market development play an important role in promoting renewable energy consumption. The results also reveal that renewable energy consumption helps to mitigate the growth of CO₂ emissions and promotes economic development.     

Funding liquidity risk and the low-volatility anomaly: Evidence from the Taiwan stock market

We investigate whether the funding liquidity risk to institutional investors influences the negative relation between expected returns and variance (the ‘‘Low-volatility anomaly’’). With the Taiwan stock market as a setting, we implement a multivariate Markov switching model and use the funding liquidity risk to model the time-varying transition probabilities of the regime-switching process to capture changes in the funding liquidity risk regime. Our evidence documents that the low-volatility anomaly is most pronounced when there is high funding liquidity risk. When there is low funding liquidity risk, however, the low-volatility anomaly has a significant reversal. These results imply that the increased funding liquidity risk due to financial shock transmitted from parent banks is associated with higher selling pressure on institutional investors’ high-volatility stocks, leading to the low-volatility anomaly.