Do rating agencies’ decisions impact stock risks? Evidence from European markets

This article analyses the effect of rating agencies’ decisions on stock risks for European issuers concerning five kinds of events. Our approach is an extension of dummy variable regression event study methodology, using a GARCH(1,1) estimation to capture simultaneously the impact on both systematic and specific stock risks. This new methodology allows us to obtain both global results by categories of rating decisions and individual results, event by event. We document, globally, a positive impact of upgrading on systematic risk, a negative impact of rating confirmation on specific risk, and no significant impact in all other cases. Regarding event-by-event results, the proportion of rating actions exhibiting a significant effect on risk is almost always observed between 20% and 30%. The weak evidence of a global effect on systematic risk may be due to the lack of informational content of the rating decisions on the stocks’ risk, or the existence of rebalancing effects between systematic and idiosyncratic risks. Furthermore, it should be noticed that the decline in volatility in case of a rating affirmed is an insight of the certification role played by the agencies.     

Can happiness predict future volatility in stock markets?

In this paper, we use the Twitter based happiness index as a proxy for investor sentiment in order to examine whether happiness influences future market volatility of country VIX indexes. Our sample includes the major stock markets of the USA, Canada, UK, Germany, France, Netherlands, Switzerland, Japan, China, Hong Kong, India, Brazil, South Korea, and South Africa. Using linear and nonlinear causality tests, we find that Twitter happiness significantly causes the future volatility of the sample countries. The robustness checks show no divergence from our primary findings and provide strong evidence of a nonlinear relationship between investor sentiment and future stock market volatility.     

Are RiskMetrics forecasts good enough? Evidence from 31 stock markets

Academic research has highlighted the inherent flaws within the RiskMetrics model and demonstrated the superiority of the GARCH approach in-sample. However, these results do not necessarily extend to forecasting performance. This paper seeks answer to the question of whether RiskMetrics volatility forecasts are adequate in comparison to those obtained from GARCH models. To answer the question stock index data is taken from 31 international markets and subjected to two exercises, a straightforward volatility forecasting exercise and a Value-at-Risk exceptions forecasting competition. Our results provide some simple answers to the above question. When forecasting volatility of the G7 stock markets the APARCH model, in particular, provides superior forecasts that are significantly different from the RiskMetrics models in over half the cases. This result also extends to the European markets with the APARCH model typically preferred. For the Asian markets the RiskMetrics model performs well, and is only significantly dominated by the GARCH models for one market, although there is evidence that the APARCH model provides a better forecast for the larger Asian markets. Regarding the Value-at-Risk exercise, when forecasting the 1% VaR the RiskMetrics model does a poor job and is typically the worst performing model, again the APARCH model does well. However, forecasting the 5% VaR then the RiskMetrics model does provide an adequate performance. In short, the RiskMetrics model only performs well in forecasting the volatility of small emerging markets and for broader VaR measures.     

Can hedge funds time global equity markets? Evidence from emerging markets

This paper examines the ability of global hedge funds to time a particularly volatile asset class — emerging market equities. In particular, we study whether or not these funds can either time emerging markets as a whole, or time their exposures to different regions. Using both pooled and calendar-time approaches, we generally find no evidence of overall timing ability. However, we do find some evidence of period-specific timing ability during the financial crisis and subsequent recovery.     

Are directors’ dealings informative? Evidence from European stock markets

Are directors’ dealings reports informative for outside investors? We analyze short-term announcement effects for 2782 companies from eight European countries between January 2003 and December 2009. We find significant announcement effects in four out of eight countries after directors’ dealings reports have been disclosed. For most countries, the magnitude of the announcement effect depends on transaction size, firm size, book-to-market ratio, and multiple trades by different insiders on the same trading day. The results are stronger for purchases than for sales. For France, Ireland, and Sweden, we find tentative evidence that the corporate position of an insider is connected to the size of the announcement effect.     

Do extreme returns matter in emerging markets? Evidence from the Chinese stock market

Recent evidence in the U.S. and Europe indicates that stocks with high maximum daily returns in the previous month, perform poorly in the current month. We investigate the presence of a similar effect in the emerging Chinese stock markets with portfolio-level analysis and firm-level Fama–MacBeth cross-sectional regressions. We find evidence of a MAX effect similar to the U.S. and European markets. However, contrary to U.S. and European evidence, the MAX effect in China does not weaken much less reverse the anomalous idiosyncratic volatility (IV) effect. Both the MAX and IV effects appear to independently coexist in the Chinese stock markets. Interpreted together with the strong evidence of risk-seeking behaviour among Chinese investors, our results partially support the suggestion that the negative MAX effect is driven by investor preference for stocks with lottery-like features.     

Do foreign investors improve stock price informativeness in emerging equity markets? Evidence from Vietnam

Most of previous studies on stock price informativeness tend to focus on the context of mature stock markets while this issue is more acute in emerging equity markets where regulatory and institutional structure are weak. This paper examines the relationship between foreign ownership and stock price informativeness in Vietnam stock market. We utilize a data set covering firm attributes of non-financial firms listed on the Ho Chi Minh City stock exchange over the period 2007–2015. Employing different estimation techniques for panel data, the empirical results indicate that foreign investors improve stock price informativeness in Vietnam stock market. The finding from this paper confirms the important role of foreign investors in emerging equity markets.     

Does country risks predict stock returns and volatility? Evidence from a nonparametric approach

We use the k-th order nonparametric causality test at monthly frequency over the period of 1984:1–2015:12 to analyze whether aggregate country risk, and its components (economic, financial and political) can predict movements in stock returns and volatility of eighty-three developed and developing economies. The nonparametric approach controls for the existing misspecification of a linear framework of causality, and hence, the weak evidence of causality obtained under the standard Granger tests cannot be relied upon. When we apply the nonparametric test, we find that, while there is no evidence of predictability of squared stock returns barring one case, at times, there are nearly 50 percent of the countries where the aggregate risks and its components tend to predict stock returns and realized volatility.     

Does the weather have impacts on returns and trading activities in order-driven stock markets? Evidence from China

We study the association between weather-related mood factors and stock index returns in an order-driven market, the Shanghai Stock Exchange (SSE) of China. Our results indicate that asset returns are unaffected by changes in mood introduced by factors including the weather and the onset and recovery from SAD. In contrast, many of these variables are strongly correlated with a reduction in market turnover and liquidity, consistent with investor mood driving variations in market activity. Overall, we show that in an order-driven market, environmental impacts on sentiment are likely to affect trading activities, but not returns.     

Do green bond and green stock markets boom and bust together? Evidence from China

This paper investigates the green bond-stock correlation in China, as well as the influence of economic policy uncertainty (EPU) on that correlation, through cross-quantilogram and partial cross-quantilogram approaches. Directional spillovers are detected at different quantile levels across various investment horizons, and the findings reveal that the green bond and green stock markets are more connected in extreme market conditions than in normal conditions. The results indicate that the dependence structure between these markets exhibits distinct sector variation; only the green stocks (GS) in the water environment treatment (WT) and atmospheric protection (AP) sectors and green bonds (GB) boom together. Besides providing considerable diversification benefits, GB can act as a safe-haven asset for GS. Moreover, we find that spillover effects tend to be medium- and long-term. The uncertainty variable (EPU) is not a significant determinant of the cross-asset relation. The empirical results have significant implications for the formulation of ESG (Environment, Social and Governance) portfolio strategies and carbon neutral-oriented policymaking.     

Can third-party online sales disclosure help reduce earnings management? Evidence from China

Alternative data plays an increasingly important role in investment and commodities market analysis. This study empirically investigates the effect on earnings management of disclosure of third-party online sales as a type of alternative data. We show that earnings management is reduced with the public disclosure of a firm’s third-party online sales data in a well-known Chinese financial database. Our results are robust to a series of endogeneity corrections and robustness checks. We also find that the negative association between third-party online sales disclosure and earnings management is more pronounced in firms with an opaque external information environment, weaker corporate governance, a higher proportion of online sales relative to total sales, and when sales are more likely to be the target of manipulation. Our results indicate that third-party online sales disclosure reduces earnings management by decreasing its benefits and increasing the risk of its detection. Our findings yield important implications for regulators and policy makers.     

Can a stock exchange improve corporate behavior? Evidence from firms' migration to premium listings in Brazil

Because Brazil's legal system lacked protection for minority shareholders and trading of Brazilian shares flowed to U.S. exchanges, in 2001 the São Paulo Stock Exchange, Bovespa, created three premium exchange listings that require more stringent shareholder protections. This paper examines the effects of a commitment to improved corporate disclosure and governance by firms' voluntary migration to these premium listings. Our analysis finds that a firm's migration brings positive abnormal returns to its shareholders, particularly when its shares did not have a prior cross-listing on a U.S. exchange and also when the firm chooses a premium listing with the highest standards. Migration to a premium listing also leads to a significant increase in the trading volume of non-voting shares. Firms that choose a premium listing tend to have growth opportunities that they finance with subsequent seasoned equity offerings. These results suggest that a premium listing is a mechanism for bonding to improved corporate behavior that can be less costly than cross-listing on a U.S. exchange.     

Does independent directors’’ monitoring affect reputation? Evidence from the stock and labor markets

Using novel data on independent directors’ opinions in China, we investigate the stock and labor market effects prompted by independent directors publicly saying “no” to major board decisions. We find that the market reacts negatively to modified director opinions, but positively to firms interlocked with the directors who said “no.” We further find substantial turnover and decline in board seats after independent directors issue modified opinions. Overall, we identify a dilemma in China whereby the labor market does not reward vigilant directors for standing up to firm insiders, although investors add a premium to effective board monitoring.     

Do media connections help? Evidence from IPO pricing in China

This study examines how social connections between media executives and firms affect initial public offering (IPO) pricing using manually collected Chinese data. We find media-connected firms receive more frequent and more positive coverage than their unconnected peers, resulting in reduced IPO underpricing. However, media-connected firms have worse post-IPO market performance. Although media-connected firms have better pre-IPO accounting performance, they conduct more earnings management under the cover provided by their connected media. Additional results show that the negative effect of media connections on IPO underpricing is more pronounced for media that are not controlled by the central government and are based in the same city as the firm. It is also more pronounced for firms with less institutional ownership and non-state-owned enterprises. Our results remain valid after various robustness tests, such as alternative proxies for IPO underpricing, eliminating alternative hypotheses, matching analysis, instrumental variable analysis, as well as placebo tests. Collectively, our findings suggest that media connections compromise IPO pricing efficiency.     

Does foreign investor demand for information affect forecast accuracy? Evidence from the Chinese stock markets

Prior international accounting studies have examined mainly the supply side of analyst research. Specific trading rights and financial reporting systems in China provide a unique opportunity to test both demand and supply factors of analyst information. For shares traded only by less-informed foreign investors, the increased information demand may create incentives for analysts to exert greater efforts than for shares traded by local investors. This study provides evidence that analyst effort (proxied by analyst coverage) and expertise (proxied by consensus cross-analyst forecast variability) affect forecast accuracy more significantly for shares traded by foreign investors than for shares traded by local investors. Additionally, I find that the relation between analyst characteristics and relative forecast accuracy is stronger for shares traded by the foreign investors. The findings are consistent with analysts responding to demands for information by less-informed investors.     

Are stock markets really efficient? Evidence of the adaptive market hypothesis

This study examines the adaptive market hypothesis in the S&P500, FTSE100, NIKKEI225 and EURO STOXX 50 by testing for stock return predictability using daily data from January 1990 to May 2014. We apply three bootstrapped versions of the variance ratio test to the raw stock returns and also whiten the returns through an AR-GARCH process to study the nonlinear predictability after accounting for conditional heteroscedasticity through the BDS test. We evaluate the time-varying return predictability by applying these tests to fixed-length moving subsample windows and also examine whether there is a relationship between the level of predictability in stock returns and market conditions. The results show that there are periods of statistically significant return predictability, but also episodes of no statistically significant predictability in stock returns. We also find that certain market conditions are statistically significantly related to predictability in certain markets but each market interacts differently with the different market conditions. Therefore our findings suggest that return predictability in stock markets does vary over time in a manner consistent with the adaptive market hypothesis and that each market adapts differently to certain market conditions. Consequently our findings suggest that investors should view each market independently since different markets experience contrasting levels of predictability, which are related to market conditions.     

Does the Euro affect the dynamic interactions of stock markets in Europe? Evidence from France,Germany and Italy

The dynamic links between stock market indices are analyzed in a GARCH-M framework, using daily data from France, Germany, Italy and the USA. It is shown that indices in the periods before and after the introduction of the Euro as a single currency display a very distinct behaviour. Consistent with the literature, in the earlier period price changes are found to have an impact the next day on other markets. In the latter period this type of co-movement disappeared within Europe. Feedback trading has been shown to induce (negative) autocorrelation in national stock markets. In this paper an international version of the feedback trading model is used to illustrate that the lead–lag relationships across countries and the strength of these links depend on the currency regime.     

How do IMF announcements affect financial markets in crises?: Evidence from forward exchange markets

We employ a theoretical model to interpret the liquidity and moral hazard effects of IMF support during a financial crisis. We then estimate the response of forward exchange markets to IMF-related announcements, using data on the 3-, 9-, and 12-month forward exchange rates. Our results indicate that the announcement of IMF negotiations is associated with a premium on the baht and the rupiah, where the premium is much larger on the latter. This result is largely consistent with the responses of stock and bond markets, especially when country-specific data are employed.     

Does aggressiveness help? Evidence from IPO corruption and pricing in China

Using a unique database of Chinese firms bribing initial public offering (IPO) regulators, we examine the impact of bribing on IPO pricing. Our findings suggest that bribing firms are younger, smaller, more volatile in their operating activities, and more generous in compensating underwriters and management. Most important, bribing firms price their IPO shares more aggressively than non-bribing firms and exhibit a higher price-to-earnings ratio, lower first-day return, and poorer post-IPO stock performance. Additional analyses suggest that both bribing and non-bribing firms exhibit negative announcement returns after the arrest of corrupt officials. However, the effect is stronger for bribing firms. Overall, bribing firms are systematically more aggressive than their non-bribing counterparts. They concede less to IPO investors and reward underwriters and management for helping them access the capital market.