Does knowing the volatility states affect the market risk premium?

Mayfield (J Financ Econ 73:465–496, 2004) has devised a method for estimating the market risk premium, based on a variant of Merton’s ICAPM wherein volatility is specified as a two-state Markov process. In this study, we assess Mayfield’s key assumption that investors know the current volatility state with certainty, via empirical testing of the assumption of exogenous Markov-switching in Mayfield’s model. We detect strong evidence of endogenous switching. This indicates that investors infer the current volatility state, as opposed to simply observing it. We also find that the risk premium estimates are affected by the switching type.     

Does futures trading increase stock market volatility? The case of the Nikkei stock index futures markets

We propose new tests to examine whether stock index futures affect stock market volatility. These tests decompose spot portfolio volatility into the cross-sectional dispersion and the average volatility of returns on the portfolio's constituent securities. Our tests show that for Nikkei stocks spot portfolio volatility increased and cross-sectional dispersion decreased compared with average volatility when Nikkei futures began trading on the Osaka Securities Exchange, but not on the Singapore International Monetary Exchange. For non-Nikkei stocks, no shift occurred when futures trading began on either exchange. These findings are consistent with the hypotheses that futures trading increases spot portfolio volatility but that there is no volatility “spillover” to stocks against which futures are not traded. However, the increase in volatility attributable to futures trading is small compared with volatility shifts induced by changes in broad economic factors.     

Does the stock market affect firm investment in China? A price informativeness perspective

This paper investigates the empirical relationship between firm-level investment and the stock market in China from a price informativeness perspective. We find that firm investment does not significantly respond to the stock market valuation, because stock prices contain very little extra information about the future operating performance of firms. This finding is further supported by the relative investment response test and the relative price information content test based on the informativeness proxy of price non-synchronicity combined with firm information transparency.     

Where are the sources of stock market mispricing and excess volatility?

Using a simple dividend model, we illustrate and synthesize the sources of stock market mispricing and excess volatility based upon two hypotheses—inflation illusion and heterogeneous beliefs. Our theoretical framework posits that equity mispricing arises when investors have subjective expectations about discount rates or dividend growth rates. We then analyze the sources of equity mispricing and market excess volatility under a VAR framework. Empirically, we find that both inflation illusion and heterogeneous beliefs explain equity mispricing. However, heterogeneous beliefs play a more important role in explaining stock mispricing in the long run. We also find that heterogeneous beliefs cause excess volatility, but inflation illusion does not. Therefore, dispersion in investors’ beliefs is a better explanation of stock market mispricing than the investors’ inability to properly discount future cash flows.     

Does stock market index adjustment affect environmental information disclosure? Evidence from China

This study empirically investigated the effect of adjustment of the China Securities Index 300 (CSI 300) on environmental information disclosure (EID) by index constituents, based on propensity score matching and difference-in-difference approaches. The results showed that the inclusion in the CSI 300 significantly improved the quality of EID by firms. Moreover, this positive impact was more pronounced among firms with lower agency costs and those located in regions with a stronger legal environment. Further testing of the mediating mechanism revealed that becoming an index constituent served to curb opportunistic behavior by managers arising from shortsightedness. Our results were valid after addressing the potential endogeneity between index adjustment and EID and remained unchanged in various other robustness tests. The findings provide support for the positive impact of stock market index adjustment on non-financial information disclosure and have practical implications for decision-making regarding EID in China and other emerging markets.     

How does news sentiment affect the states of Japanese stock return volatility?

This paper examines the impact of public news sentiment on the volatility states of firm-level returns on the Japanese Stock market. We firstly adopt a novel Markov Regime Switching Long Memory GARCH (MRS-LMGARCH), which is employed to estimate the latent volatility states of intraday stock return. By using the RavenPack Dow Jones News Analytics database, we fit discrete choice models to investigate the impact of news sentiment on changes of volatility states of the constituent stocks in the TOPIX Core 30 Index. Our findings suggest that news occurrence and sentiment, especially those of macro-economic news, are a key factor that significantly drives the volatility state of Japanese stock returns. This provides essential information for traders of the Japanese stock market to optimize their trading strategies and risk management plans to combat volatility.     

Does education affect how well students forecast the market?

This study examines the results of a student stock market forecasting project used in our basic and advanced investments classes. Students fail to outperform a random walk model over the entire period, but do perform well in some subperiods. Students receiving an above average grade in the basic investments class provide more accurate forecasts than all other groups of students. Further, poorer performing students tend to be more pessimistic in their expectations of the market. The results suggest that education improves the forecasting ability of students.     

Less is more? New evidence from stock market volatility predictability

The complex nature of stock market volatility has motivated researchers to apply a variety of predictors to obtain reliable predictive information for precise forecasting. This study seeks to examine the effectiveness of the novel Global Financial Uncertainty (GFU) indices, comprising of only five sub-indices, in predicting stock market volatility using the widely used mixed-data sampling (MIDAS) model. The results demonstrate the remarkable and stable predictive power of GFU, even during crises and global financial uncertainty shocks. Specifically, the financial uncertainty index from Europe plays a significant role in our analysis. Importantly, we find that the GFU index outperforms a large number of other indicators in stock volatility forecasting. The statistical and economic significance of the predictive power of GFU is remarkable. Our study provides significant insights for market participants and policymakers that highlight the need to prioritize global financial uncertainty.     

How asymmetric is U.S. stock market volatility?

This paper explores differences in the impact of equally large positive and negative surprise return shocks in the aggregate U.S. stock market on: (1) the volatility predictions of asymmetric time-series models, (2) implied volatility, and (3) realized volatility. Following large negative surprise return shocks, both asymmetric time-series models (such as the EGARCH and GJR models) and implied volatility predict an increase in volatility and, consistent with this, ex post realized volatility normally rises as predicted. Following large positive return shocks, asymmetric time-series models predict an increase in volatility (albeit a much smaller increase than following a negative shock of the same magnitude), but both implied and realized volatilities generally fall sharply. While asymmetric time-series models predict a decline in volatility following near-zero returns, both implied and realized volatility are normally little changed from levels observed prior to the stable market. The reasons for the differences are explored.     

The relationship between pension funds and the stock market: Does the aging population of Europe affect it?

In recent decades, pension fund investment has increased rapidly because of population aging and growing doubts about the viability of western public pension systems. As a result, pension funds have become dominant in stock markets. This paper examines the influence of the pension fund assets invested in equities on stock market development and the market efficiency of 13 European countries, from 1999 to 2014. Our results vary by country, by pension model and among the one-model countries. Nevertheless, revealing a concern about saving for retirement. Finally, our efficiency analysis reveals that the influence of pension funds varies over time and across markets, due to arbitrage opportunities that provoke adaptive managerial strategies.     

Does reporting position affect the pricing of the volatility of comprehensive income?

The FASB changed the reporting policy for comprehensive income (CI) by issuing ASU No. 2011-05, which requires CI be reported in performance statements (i.e., either a single income statement with net income or a separate statement of CI following the income statement) rather than the previously allowed equity statements. We examine whether the change in reporting position of CI led to higher market pricing of CI volatility incremental to NI volatility (“incremental CI volatility”), as measured by the price-earnings relationship. We find that the market pricing of incremental CI volatility increased from the pre- to the post-ASU period for non-financial firms forced to change the reporting position of CI from equity to performance statements. The increase is more prominent for firms that switched to the income statement than for firms that switched to a separate statement of CI. Further, we find that the increased market pricing of incremental CI volatility translates into lower valuation weights on other comprehensive income.     

Is gold the best hedge and a safe haven under changing stock market volatility?

We evaluate the role of gold and other precious metals relative to volatility (Volatility Index (VIX)) as a hedge (negatively correlated with stocks) and safe haven (negatively correlated with stocks in extreme stock market declines) using data from the US stock market. Using daily data from November 1995 to November 2010, we find that gold, unlike other precious metals, serves as a hedge and a weak safe haven for US stock market. However, we find that VIX serves as a very strong hedge and a strong safe haven during our sample period. We also find that in periods of extremely low or high volatility, gold does not have a negative correlation with the US stock market. Our results show that VIX is a superior hedging tool and serves as a better safe haven than gold during our sample period. We highlight the practical significance of our results for financial market participants by conducting a portfolio analysis.     

Does legal protection affect firm value? Evidence from China’s stock market

We examine the question of whether firms derive value in areas with higher legal protection by studying how the difference among regional legal protection levels affects capital market reactions to firms receiving administrative penalty in China. The results show that the level of legal protection has a positive effect on the market reaction to administrative penalty announcements, and the effect is attenuated by non‐state ownership. Furthermore, we find evidence of higher efficiency of law enforcement in regions with higher level of legal protection.     

How does electronic trading affect efficiency of stock market and conditional volatility? Evidence from Toronto Stock Exchange

The present paper investigates informational efficiency and changes in conditional volatility of the TSX before and after the implementation of an automated trading system on April 23, 1997. Using a battery of unit root, stationarity, as well as linear tests, we find that the introduction of electronic trading led to an increase in linearity dependence in TSX daily returns. In addition, when we examined the nonlinearity dependences using powerful econometric tests, we find that electronic trading has increased nonlinear dependencies in return series, which is the main cause of rejecting the Random Walk Hypothesis (RWH). Our results suggest that the automated trading system has negatively affected informational efficiency of the TSX. We also find evidence of long memory following automation which suggests that the introduction of electronic trading has increased the level of persistence of information and trading shocks.     

Does the major market influence transfer? Alternative effect on Asian stock markets

Based on the time-varying regression model of Chow et al. (J Comp Econ 39(4):577–583, 2011. doi: 10.1016/j.jce.2011.06.001), this paper simultaneously analyzes the ebb and flow of change by China and the U.S. as leading players in relation to their comovement on various Asian stock markets. We include several important controls for worldwide economy performance, the stock market return rates of major importing nations, and linear/non-linear time trend fixed effects to stress the influence of China and U.S. on eight Asian economies. The empirical results indicate the increasing influence of the China stock market during the subprime mortgage crisis. Moreover, the U.S. market remains influential on the Chinese region, but loses/decreases its influence, especially on the Four Asian Tigers, significantly during/after the subprime mortgage crisis.     

Does the stock market fully value intangibles? Employee satisfaction and equity prices

This paper analyzes the relationship between employee satisfaction and long-run stock returns. A value-weighted portfolio of the “100 Best Companies to Work For in America” earned an annual four-factor alpha of 3.5% from 1984 to 2009, and 2.1% above industry benchmarks. The results are robust to controls for firm characteristics, different weighting methodologies, and the removal of outliers. The Best Companies also exhibited significantly more positive earnings surprises and announcement returns. These findings have three main implications. First, consistent with human capital-centered theories of the firm, employee satisfaction is positively correlated with shareholder returns and need not represent managerial slack. Second, the stock market does not fully value intangibles, even when independently verified by a highly public survey on large firms. Third, certain socially responsible investing (SRI) screens may improve investment returns.     

Does institutional ownership increase stock return volatility? Evidence from Vietnam

The literature on institutional ownership and stock return volatility often ignores small emerging countries. However, this issue is more profound, due to the large size of institutional investors and small stock market size, in emerging equity markets. This paper examines the effects of the institutional ownership on the firm-level volatility of stock returns in Vietnam. Our data cover most of non-financial firms listed on the Ho Chi Minh City stock exchange for the period 2006–2012. Employing different analysis techniques for panel data and controlling for possible endogeneity problems, our empirical results suggest that institutional investors stabilize the stock return volatility. Moreover, we document that: i) the stabilizing effect of institutional investor ownership is higher in dividend paying firms, and ii) if firms are paying out more dividends, this stabilizing effect is greater. Our results outline the important role of institutional investors in maintaining the stability in emerging stock markets.     

Does corporate eco-innovation affect stock price crash risk?

We examine the effect of corporate environmental innovation (hereafter eco-innovation) on stock price crash risk and document a significant negative association. Utilising a large sample of publicly listed U.S. firms for the period 2003 to 2017, we find that an increase in eco-innovation from the 25th to the 75th percentile is associated with 17.62% reduction in stock price crash risk. This outcome remains robust to a variety of sensitivity tests and after accounting for potential endogeneity concerns. Eco-innovative firms attract more institutional investors and equity analyst following and disclose more information leading to lower stock price crash risk. Additional tests reveal that the negative effect of eco-innovation is contingent on the political leadership's ideology and environmental sensitivity. Our paper contributes to the ongoing discourse on the costs and benefits of eco-innovation, documenting the value-enhancing perspective of eco-innovation.     

Does the stock market reward innovation? European stock index reaction to negative news during the global financial crisis

This study uses data on 27 European stock indices over the period from January 2007 to December 2012 to investigate the relationship between innovations and the market reaction to negative news during the financial crisis. We use the bivariate BEKK-GARCH approach to estimate time-varying betas and abnormal returns. We show that index prices of countries in the high (low) innovation groups experience significantly positive (negative) abnormal returns on and following the negative news announcement dates. We also find that index beta changes following the arrival of bad news is negatively associated with a country's innovativeness. This finding suggests that innovations promote economic stability and enhance investors' confidence in a country's ability to cope during difficult times. Thus, policy makers who are concerned with sustainable growth should encourage R&D investments by adopting effective policies and avoid unnecessary cuts in R&D expenditures even during times of crisis. A study of the pre-crisis period from January 2001 to December 2006, using the same methods, indicates that investors value innovation more during difficult times.     

Does interest rate and its volatility affect banking sector development? Empirical evidence from emerging market economies

This study investigates the relationship between interest rate, interest rate volatility, and banking sector development in 12 emerging market economies located around the world. For this purpose, panel data analysis was conducted using annual data from 1980 to 2014. In parallel to the financial development literature, which asserts that banking sector development, as a broad and complex concept, cannot be measured by a single indicator, this study adopts a set of measures of banking sector development. The empirical results reveal that while interest rate has a positive impact on all banking sector indicators, this relationship weakens at higher interest levels, showing a concave relationship between interest rate and banking sector development. In addition, the empirical results provide evidence that interest rate fluctuations have a negative impact on most banking sector development (BSD) indicators, suggesting that the banking sectors of emerging countries are vulnerable to interest rate risks. Furthermore, all measures of the banking sector indicators are positively affected by economic growth rates, while this association weakens at higher levels of income, confirming a nonlinear relationship. Thus, the results have important implications for policymakers in improving the banking system and promoting the economic growth of these emerging economies.