Influence of cultural factors on price clustering and price resistance in China's stock markets

This paper builds on prior research by analysing the impact of cultural factors on both price clustering and price resistance in China's stock markets. The results support the presence of cultural factors impacting on price clustering with the digit 8 showing a higher propensity for clustering and the digits 4 and 7 showing a lower propensity in the A‐share market, where stock is denominated in renminbi and traded by mainland Chinese. These results are further supported by an analysis of the B‐share market, where cultural factors have no (or less) impact on the price of Chinese stocks traded by foreign investors in US dollars (or in Hong Kong dollars). A range of measures for price resistance show the digits 0 and 5 to be significant resistance points in the A‐share market. Although digit 8 cannot be considered as a resistance point, its resistance level is highest among the remaining numbers. In conclusion, cultural factors help to explain not only price clustering in the Chinese stock markets but price resistance levels as well, albeit at a weak level.     

Economic policy uncertainty,corporate investment decisions and stock price crash risk: Evidence from China

We examine the relationship between economic policy uncertainty (EPU) and stock price crash risk via the corporate investment in Chinese listed firms. Results show that higher EPU is associated with lower crash risk. Firms increase financial asset holdings and reduce overinvestment when EPU rises, leading to lower future crash risk. State-owned enterprises (SOEs) and firms with lower management incentives tend to reduce overinvestment, whereas non-SOEs tend to increase financial asset holdings. Thus, firms tend to be cautious in their investments when EPU is high, which reduces crash risk. Our study provides new insights into the validity of the Lucas critique in China.     

Further evidence on the efficiency of the Chinese stock markets: A note

This paper examines the efficiency of the Chinese A-share and B-share markets following the deregulation of the B-share market which widened ownership to include domestic investors. Applying parametric and non-parametric variance ratio tests to the daily data of 370 shares over 1996–2005, the paper finds that A-shares are more efficient than B-shares, although the efficiency of both markets has improved following the regulatory change. Overall, the results suggest that the Chinese stock markets are characterised by information asymmetry, although the timely access to high quality information that domestic investors enjoy has improved the efficiency of the B-share market.     

Sources of the stock price fluctuations in Chinese equity market

This paper proposes a latent factor approach based on a state–space framework in order to identify which factor, if any, dominates price fluctuations in the Chinese stock markets. We also illustrate the connection of such stock price decomposition with several general equilibrium asset pricing models and show that the decomposition results can potentially offer useful insights with regard to the empirical relevance of asset pricing models. We use quarterly data of the Chinese A-Share equity market over the period 1995Q3–2011Q1 and find that the estimates of the state–space model suggest that the expected return is the primary driving force behind price fluctuations in the Chinese stock market. We show that the time-varying expected returns appear to be counter-cyclical and this result seems to be consistent with the habit formation model of Campbell and Cochrane [1999. By force of habit: A consumption-based explanation of aggregate stock market behavior. Journal of Political Economy 107, no. 2: 205–51.]. However, we also note that there is a great deal of uncertainty with respect to this variance decomposition due to the resulting small signal-to-noise ratio in the estimated state–space model.     

Is asymmetric mean-reverting pattern in stock returns systematic? Evidence from Pacific-basin markets in the short-horizon

This paper applies asymmetric nonlinear smooth transition generalized autoregressive conditional heteroskedasticity (ANST-GARCH) models to the analysis of mean-reversion and time-varying volatility in weekly index returns of the stock markets of nine countries in the Pacific-basin. It finds that the returns exhibit an asymmetric pattern of return reversals, viz., on average, a negative return reverts more quickly, with a greater magnitude, to a positive return than a positive return reverting to a negative one. The asymmetric pattern of return reversals is directly associated with the unequal pricing behavior on the part of investors. Following a negative return shock, investors do not appear to require any additional premium to the leverage effect; instead they actually neutralize the risk in the form of a reduced premium! The reduction in risk premium causes not only the current stock price to rise but also the realized negative return to revert faster with a greater magnitude.     

An information-based model of target stock price runup in the market for corporate control

The stock price runup of target firms in the market for corporate control has been anecdotally attributed to inside trading. Moreover, the empirical merger and acquisitions literature documents a time-varying level and duration of the stock price runup of target firms. Using a market microstructure approach, we model stock price runup as a stochastic process that shifts between a random walk without drift and a predictable process dependent on a parsimonious set of state variables. Consistent with the market microstructure literature, predictability in prices can be exploited only by the informed trader. The model is capable of explaining the complex stylized facts observed in stock price runup. It is also consistent with the merger wave literature, as we find that capital liquidity, economic growth, and market valuations drive the complex dynamics of stock price runup.     

Short-run disequilibrium adjustment and long-run equilibrium in the international stock markets: A network-based approach

In this paper, we propose a network-based analytical framework that exploits cointegration and the error correction model to systematically investigate the directions and intensities in terms of the short-run disequilibrium adjustment towards long-run equilibrium affecting the international stock markets during the period of 5 January 2007 to 30 June 2017. Under this setting, we investigate whether and how the cross-border directional interconnectedness within the world’s 23 developed and 23 emerging stock markets altered during the entire period of 2007–2017, and two specific periods of 2007–2009 Global Financial Crisis and 2010–2012 European Sovereign Debt Crisis. The main results indicate that the magnitude of the short-run disequilibrium adjustment towards long-run equilibrium for individual stock markets is not homogeneous over different time scales. We report that the changes in directional interconnectedness within stock markets worldwide did occur under the impact of the recent financial crises. The derived networks of stock markets interconnectedness allow us to visually characterize how specific stock markets from different regions form interconnected groups when exhibiting similar behaviours, which none the less provides significant information for strategic portfolio and risk management.     

Prices and returns on paintings: An exercise on how to price the priceless

Art is priceless, but paintings, and other objects, have been sold on markets since the time of the Roman Empire. In this paper, we describe a method for constructing a price index for paintings and compare this index to the indices of various financial markets. In particular, we discuss whether the price of art is related to financial markets, whether the art market is weakly efficient, and whether it is more or less risky than financial markets.     

Resurrecting the size effect: Evidence from a panel nonlinear cointegration model for the G7 stock markets

Firm size is known to be an important factor affecting stock returns. This study proposes a panel threshold cointegration model to investigate the impact of the size effect on stock returns for the panel of G7 countries: Canada, France, Germany, Italy, Japan, the U.K., and the U.S. over the period 1991:1–2012:12. The empirical analysis is based upon the nonlinear cointegration framework using the asymmetric ARDL cointegration methodology (Shin et al., 2011). This methodological approach permits a much richer degree of flexibility in the dynamic adjustment process toward equilibrium, than in the classical linear model. Our findings indicate the presence of asymmetric adjustment around a unique long-run equilibrium. In particular, the empirical analysis provides evidence of asymmetric effects between stock returns and the size effect, while controlling for the book-to-market ratio and the price-to-earnings ratio.     

The effects of board structure on corporate performance: Evidence from East African frontier markets

The effectiveness of the well-known corporate governance practices may not be universal due to fundamental differences in the environments under which firms operate. By using hand-collected data from all the non-financial firms listed on the unexplored East African frontier markets (i.e., Kenya, Tanzania and Uganda), we examine the effect of board characteristics on the performance of firms. Our results show that board size has a negative and significant effect on firm performance. The presences of foreigners and civil servants on the board play positive roles on financial performance, where the agency and resource dependence theories apply. Further, we find that board members with higher education also contribute to firm performance. These findings still hold when we consider the 2008–2009 financial crisis period. Overall, we show that in a business climate where ownership is largely dominated by few shareholders, the conventional governance mechanisms do not work effectively.     

Stock price firm‐specific information on the choice of stock payment in mergers and acquisitions

Previous studies on the choice of stock payment in M&A mainly focus on managerial private information. This study shows that managers also learn new firm‐specific information from financial markets in making this decision. The acquirer's stock price firm‐specific information increases the stock‐payment‐to‐Q sensitivity. The target's stock price firm‐specific information decreases the stock payment probability. Further analyses on deal and firm characteristics as well as shareholder wealth in stock mergers support the managerial learning argument. Overall, this study highlights a new set of information that affects the form of merger payment in mergers and acquisitions.     

From COVID-19 herd immunity to investor herding in international stock markets: The role of government and regulatory restrictions

We study if government response to the novel coronavirus COVID-19 pandemic can mitigate investor herding behaviour in international stock markets. Our empirical analysis is informed by daily stock market data from 72 countries from both developed and emerging economies in the first quarter of 2020. The government response to the COVID-19 outbreak is measured by means of the Oxford COVID-19 Government Response Tracker, where higher scores are associated with greater stringency. Three main findings are in order. First, results show evidence of investor herding in international stock markets. Second, we document that the Oxford Government Response Stringency Index mitigates investor herding behaviour, by way of reducing multidimensional uncertainty. Third, short-selling restrictions, temporarily imposed by the national and supranational regulatory authorities of the European Union, appear to exert a mitigating effect on herding. Finally, our results are robust to a range of model specifications.     

Impact of liquidity on stock returns: an empirical investigation of the Tunisian stock market

This paper investigates the return–liquidity relationship on one Middle East and North Africa frontier market, the Tunisian Stock Exchange (TSE). The findings provide evidence that there is a significant and positive premium for companies with high price impact and low trading frequency. However, Tunisian investors appreciate more low spread stocks. We show, also, a non-linear relation between potential delays of execution and stock returns. In addition, we find that Tunisian investors require a premium to compensate past cumulative illiquidity risk (high price impact, low turnover and high potential delay of execution) over the prior three to 12 months and to compensate past cumulative spread over 12 months. We point out also that these effects are seasonal.     

Price limits in futures markets: effects on the price discovery process and volatility

Price limits are actively employed by many futures exchanges as a regulatory mechanism directed at reducing volatility and improving price discovery process. The aim of this paper is to investigate whether price limits achieve these goals without affecting market liquidity for a number of agricultural futures contracts. We employ models of changing volatility in order to show that price limits do not appear to significantly reduce market volatility. In addition, we find evidence confirming the hypothesis that price limits delay price discovery instead of facilitating it. Our results also suggest that the impact of price limits on volatility and price reversals, found in previous studies, are mainly due to the properties inherent to the futures returns, such as volatility clustering. Finally, although trading decreases significantly due to the price limits, traders do not seem to switch from the contracts affected by price limits to other maturities in order to minimize the impact of circuit breakers.     

The effect of self-selection bias on the testing of a stock price reaction to management's earnings forecasts

This study examines the inferential bias due to the failure to control for self-selection when studying the market's reaction to management earnings forecasts. The analysis is conducted by controlling for self-selection and comparing the results to those obtained when self-selection is not controlled. This comparison suggests that the overall inference of a market reaction to the management forecast issuance does not change. However, the statistical significance declines when self-selection is considered. Since the issuance of a management forecast is an obvious self-selection, the results of this study suggest that self-selection should be considered and evaluated in quasi-experimental studies in accounting and finance.     

The effect of corporate social responsibility on stock performance: new evidence for the USA and Europe

This paper provides new empirical evidence for the effect of corporate social responsibility on corporate financial performance. In contrast to former studies, we examine two different regions, namely the USA and Europe, and disentangle firm and sector specific impacts. Our econometric analysis shows that environmental and social activities of a firm compared with other firms within the industry are valued by financial markets in both regions. However, the respective positive effects on average monthly stock returns between 2003 and 2006 are more robust in the USA and, in addition, non-linear. Our analysis furthermore points to biased parameter estimates if incorrectly specified econometric models are applied: the seemingly significantly negative effect of environmental and social performance of the industry to which a firm belongs strongly declines and mostly becomes insignificant if the explanation of stock performance is based on the Fama–French three-factor or the Carhart four-factor models instead of the simple Capital Asset Pricing Model.     

The impact of central bank digital currency news on the stock and cryptocurrency markets: Evidence from the TVP-VAR model

This study employs a non-linear framework to investigate the impacts of central bank digital currency (CBDC) news on the financial and cryptocurrency markets. The time-varying vector autoregressive (TVP-VAR) model developed by Primiceri (2005) is estimated based on weekly data from the first week of January 2015 to the last week of December 2021. The vector of endogenous variables in the VAR estimation contains the Central Bank Digital Currency uncertainty index (CBDCU), cryptocurrency policy uncertainty index, S&P 500 index, VIX, and Bitcoin price. The TVP-VAR model’s time-varying responses demonstrated that the reactions of the cryptocurrency market to central bank digital currency announcements vary remarkably over time. The impacts of the CBDC shocks on the financial market have been increasingly visible during the COVID-19 pandemic. According to the time-varying forecast error decompositions, CBDCU and VIX shocks have accounted for most of the variance in cryptocurrency uncertainty and Bitcoin return shocks, notably during the COVID-19 period.     

Price reversals versus price continuations: the transitory price effects of futures trading extension on the underlying stock market

This paper examines the transitory price effects of index futures trading extension on the underlying stock market. Based on the model formulation of George and Hwang (1995) and Amihud and Mendelson (1987) and using the Hong Kong data, we find that the extension of futures trading hour helps to reduce the opening pricing errors and change the correlations between daytime and overnight stock returns. Our finding adds to the literature that the trading behavior of derivatives has a significant influence on the transitory price changes of the underlying cash products.

The potential harms of goodwill impairment avoidance: Evidence based on future performance and stock prices

The rapidly increasing volume of goodwill assets in the capital market generates potential risks due to the possibility of an untimely recognition of goodwill impairment. In this paper, we investigate the financial consequences of goodwill impairment avoidance based on firms’ future performance and stock prices. Using Chinese A-share listed firms with goodwill balances, we find that avoiding goodwill impairments negatively affects a firm’s performance growth and increases its risk of a future stock price crash. These adverse effects continue for the three years following the goodwill impairment avoidance. Our results indicate that goodwill impairment avoidance has detrimental impacts on a firm’s future performance and stock price and that these impacts are persistent. Our conclusions are helpful for regulators on how to prevent the risks hidden in goodwill impairment recognition and maintain the stable development of the financial market.