Socially responsible investing and stock performance: New empirical evidence for the US and European stock markets

This paper empirically examines the theoretically ambivalent relationship between socially responsible investing (SRI) and stock performance. It contributes to the existing literature by considering both the US and the entire European stock markets and by using consistent world-wide corporate sustainability performance data. Our portfolio analysis from 1998 to 2009 is based on the common four-factor model according to Carhart (1997), which comprises market return, size, value, and momentum factors. We show for the US and the European stock markets that SRI is associated with large-sized firms. The insignificant abnormal stock returns for SRI in both regions are the main result of our paper. Therefore, our study supports the view that SRI stocks are correctly priced by market participants, although we cannot rule out that a corresponding mispricing has existed before the beginning of our observation period in 1998.     

Integration of emerging stock markets with global stock markets

Financial integration for emerging economies should be seen as a long-term objective. In this paper, we examine stock market integration among five selected emerging stock markets (Brazil, China, Mexico, Russia and Turkey) and developed markets of the US, UK and Germany. The bounds testing approach to cointegration and error-correction modeling are used on monthly data from January 2001 to December 2014 to determine the short-run and long-run relationship between emerging stock market returns and the returns of the developed stock markets. The results show evidence of the existence of short-run integration among stock markets in emerging countries and the developed markets. However, the long-run coefficients for stock market returns in all emerging countries show a significant relationship only with Germany stock market return. The empirical findings in this study have important implications for academicians, international investors, and policymakers in emerging markets.     

Style investing and firm innovation

We document that transient, dedicated and quasi-indexed institutional investors exhibit a high degree of within-group heterogeneity with respect to their investment styles (i.e., growth, value, and balanced). We find that growth institutional investors enhance firm innovation in terms of R&D expenditures, R&D intensity, quantity and quality of patents and patent radicalness while value institutional investors impede innovation. Balanced investors have no significant association with innovation. Findings are consistent with style investing literature that growth and value styles are substitutes. Using investment styles, we present evidence that reconcile literature’s mixed findings on how transient and dedicated investors affect R&D and innovation, and why quasi-indexed investors, the largest group among all investors, have an insignificant effect. We also show that the effect of institutional investors depends on the firm’s relative level of innovativeness.     

Do stock splits signal future profitability?

This study examines whether stock split announcements contain information content about future profitability, measured in terms of future earnings change, future earnings, or future abnormal earnings. We find that the split announcement year has the highest earnings change and the earnings change declines substantially over the subsequent five years. Our empirical results show little evidence that stock splits are positively related to future profitability. In fact, stock splits are in general negatively related to future profitability in subsequent years after the announcement, except for dividend-paying firms with a split factor less than 0.5. This negative relation holds regardless of future profitability measure. Therefore, our empirical finding suggests that stock splits are not useful signals of a firm’s future earnings prospects. JEL Classification G30     

Reexamining intraday simultaneity in stock index futures markets

This note examines three empirical examples involving intraday dynamic relationships associated with stock index futures markets. Researchers often employ a vector autoregressive ( ) model to analyze such high frequency transactions data. While such a model can provide useful information regarding the nature of causal priority inherent in the data, it is not the proper model to investigate the structural relationships of interest, because it omits the contemporaneous interaction. On the other hand, a model specification which is altered to incorporate simultaneity may enable the data to reveal the structural relationships of interest.     

Transmission of movements in stock markets

The paper analyses the relationships between three stock markets: New York, Tokyo and Frankfurt. The non-simultaneity of the trading times in these three markets determines the results of cross-correlations and regressions with daily returns. To cope with this and other problems, an empirical model is proposed and estimated. This model allows the separation of the ability to influence and the sensitivity of the different markets, and New York is found to be the most influential market, with Tokyo the most sensitive.     

Biased information weight processing in stock markets

The concepts of over- and underreaction are frequently used in behavioral financial research to explain investor behavior and resulting market phenomena. This research often makes arbitrary assumptions about which of the two biases is prevalent in a specific situation although psychological research offers more explicit insights. Investors overreact towards information of low weight and underreact if the information has high weight (high reliability). We propose a model that transfers these experimental findings to a financial market setting. Our time-series and cross-sectional empirical analyses support the hypothesis that investors misperceive information weight, which leads to short-term predictability in returns.     

Mean reversion in Southeast Asian stock markets

This paper assesses the predictable component of South East Asian stock markets using a bootstrap resampling method to estimate the small sample distributions of variance ratio statistics. We find evidence of mean reversion in long horizon dollar adjusted excess returns. The robustness of the results is assessed by adjusting stock returns for potential time-varying expected returns and partial integration of these emerging markets into world capital markets. In all but one case, mean reversion is shown to be due to either time-variation of risk exposure and prices of risk or partial integration of the local market into world stock markets. These results clearly illustrate the dangers of testing market efficiency without carefully adjusting stock returns for time variation in expected returns and the partial integration of local markets into world markets.     

Risk and return implications from investing in emerging European stock markets

The dynamic linkages and the effects of time-varying volatilities are investigated for major emerging Central European (CE) and developed stock markets. Risk and return implications for portfolio diversification to these markets are assessed, causal lead–lag relationships are identified and asymmetric volatility effects are evaluated. The presence of one cointegration vector indicates market comovements towards a stationary long-run equilibrium path. Central European markets tend to display stronger linkages with their mature counterparts rather than their neighbors. An asymmetric EGARCH model indicates varying but persistent volatility effects for the CE markets. International portfolio diversification can be less effective across cointegrated markets because risk cannot be reduced substantially and return can exhibit a volatile reaction to domestic and international shocks. The possibility of arbitrage short-run profits, however is not ruled out.     

The current account and stock returns

In this paper, I use stock return data to test an intertemporal model of the current account. I find that the model performs well in three countries: the U.K., Canada, and Japan. Hall [Hall, R.E., 1978. Stochastic implication of the life cycle-permanent income hypothesis: theory and evidence. J. Polit. Econ. 86 (6), 971–987] points out that because stock price predicts the future state of the economy, it predicts consumption. Assuming that consumption depends on permanent income, my empirical finding indicates that a representative agent smoothes consumption based on stock market information. In other words, stock market returns yield information about permanent income.     

The relationship between stock returns and volatility in international stock markets

This study examines the relationship between expected stock returns and volatility in the 12 largest international stock markets during January 1980 to December 2001. Consistent with most previous studies, we find a positive but insignificant relationship during the sample period for the majority of the markets based on parametric EGARCH-M models. However, using a flexible semiparametric specification of conditional variance, we find evidence of a significant negative relationship between expected returns and volatility in 6 out of the 12 markets. The results lend some support to the recent claim [Bekaert, G., Wu, G., 2000. Asymmetric volatility and risk in equity markets. Review of Financial Studies 13, 1–42; Whitelaw, R., 2000. Stock market risk and return: an empirical equilibrium approach. Review of Financial Studies 13, 521–547] that stock market returns are negatively correlated with stock market volatility.     

Volatility and cross correlation across major stock markets

Several papers have documented the fact that correlations across major stock markets are higher when markets are more volatile—this is done by comparing unconditional correlations over sub-periods or by using conditional correlations that are time varying. In this paper we examine the relation between correlation and variance in a conditional time and state varying framework. We use a switching ARCH (SWARCH) technique that does two things. One, it enables us to model variance as state varying. Two, a bivariate SWARCH model allows us to go from conditional variance to state varying covariances and correlations and hence test for differences in correlations across variance regimes. We find that the correlations between the U.S. and other world markets are on average 2 to 3.5 times higher when the U.S. market is in a high variance state as compared to a low variance regime. We also find that, compared to a GARCH framework, the portfolio choices resulting from our SWARCH model lead to higher Sharpe ratios.     

Jackknifing stock return predictions

We show that the general bias-reducing technique of jackknifing can be successfully applied to stock return predictability regressions. Compared to standard OLS estimation, the jackknifing procedure delivers virtually unbiased estimates with mean squared errors that generally dominate those of the OLS estimates. The jackknifing method is very general, as well as simple to implement, and can be applied to models with multiple predictors and overlapping observations. Unlike most previous work on inference in predictive regressions, no specific assumptions regarding the data generating process for the predictors are required. A set of Monte Carlo experiments show that the method works well in finite samples and the empirical section finds that out-of-sample forecasts based on the jackknife estimates tend to outperform those based on the plain OLS estimates. The improved forecast ability also translates into economically relevant welfare gains for an investor who uses the predictive regression, with jackknife estimates, to time the market.     

Institutional cross-ownership and stock price crash risk

Using manually collected data of Chinese listed firms during the period 2007–2018, we provide strong and robust evidence that institutional cross-ownership is negatively associated with firm-specific stock price crash risk. Building on China’s institutional settings, we document that the negative relation is more pronounced for firms located in provinces with higher political uncertainty, or state-owned enterprises. This paper also conducts several mechanisms analyses and has confirmed three potential influencing mechanisms, such as information advantage, governance improvement and anticompetitive incentives, in explaining the effect of institutional cross-ownership on stock price crash risk. Overall, this paper develops a new perspective to investigate the ways to alleviate stock price crash risk in emerging markets.     

World capital markets and Finnish stock returns

The paper explores issues related to time-varying global equity market integration from a Finnish perspective. Finland is an interesting market since profound economic changes and financial deregulation have taken place since the mid-1980s. Using Finnish firm size ranked portfolios and a conditional four-factor asset pricing model, several restrictions on asset behaviour are examined. It is found that a proxy for changing market integration — lagged foreign equity ownership — has a significant impact on the relative importance of local and global risk factors. Significant differences are found between the pricing of shares that were freely-available to all (unrestricted shares) and domestic investors only (restricted shares). Results also suggest that major capital market reforms profoundly affect the degree of market integration, but local risk factors do not become redundant.     

Transitions in the stock markets of the US,UK and Germany

In an analysis of the US, the UK and German stock market, we find a change in the behaviour based on the stocks’ beta values. In the years 1995–2006, trades of stocks with high beta and large volume were concentrated in the IT and technology sector, whereas in 2006–2012 those trades are dominated by stocks from the financial sector. We show that an agent-based model can reproduce such a transition. We further show that the initial impulse for the transition might stem from the increase of high-frequency trading at that time.     

Hysteresis and cyclical adjustment in the stock markets: the macroeconomic effects of technological progress

The aim of this paper is to investigate the effects of technological change on stock market dynamics. We develop an intertemporal optimising model, the central innovation of which is the distinction between the non-perishables and perishables sectors. We discuss the conditions likely to lead to cyclical stock market behaviour in response to technological shocks. Furthermore, we show that one-off technological advances may have persistent effects giving the country a permanent growth advantage. This gives an alternative mechanism for explaining differential growth rates to that already established in the endogenous growth literature.     

Terrorism,country attributes,and the volatility of stock returns

This study investigates the interplay between terrorism and finance, focusing on the stock return volatility of American firms targeted by terrorist attacks. We find terrorism risk is an important factor in explaining the volatility of stock returns, which should be taken into account when modelling volatility. Using a volatility event-study approach and a new bootstrapping technique, we find volatility increases on the day of the attack and remain significant for at least fifteen days following the day of the attack. Cross-sectional analysis of the abnormal volatility indicates that the impact of terrorist attacks differs according to the country characteristics in which the incident occurred. We find that firms operating in wealthier, or more democratic countries, face greater volatility in stock returns relative to firms operating in developing countries. Firm exposure varies with the nature of country location, with country wealth and level of democracy playing an important role in explaining the likelihood of a terrorist attack. Our results show that despite significant terrorist events this past decade, stock markets in developed countries have not taken terrorist risk into sufficient consideration.     

Time-varying fund manager skills of socially responsible investing (SRI) funds in developed and emerging markets

We examine stock selectivity and timing abilities in the market-wide return, volatility and liquidity of SRI fund managers. We find that multi-dimensional fund manager skills are time-varying and persistent in the short run, with developed market funds exhibiting longer persistence in all dimensions. Fund manager skills tend to be affected by fund characteristics (i.e., expense ratio, fund size, turnover and management tenure) and market characteristics (i.e., ESG market capitalization, mandatory ESG regulation and 10–2 yield spread). Fund managers of developed (emerging) market funds outperform (underperform) the market indices. For both fund types, fund managers possess exceptional volatility and liquidity timing despite poor return timing. Moreover, fund managers focus more (less) on timing the market’s return and less (more) on picking stocks when the prospect of recession keeps increasing (decreasing). Interestingly, if fund managers attempt to time the market-wide return or liquidity, stock selectivity will be worsened by their timing behavior.     

Economic freedom and the stability of stock prices: A cross-country analysis

This paper investigates the link between economic freedom and the price stability of individual securities in a unique setting. Using a sample of 327 American Depositary Receipts (ADRs), we find an inverse relation between the economic freedom of a ADRs' home country and the price volatility of the ADR. This negative correlation is driven primarily by certain components of economic freedom, such as property right protection, the soundness of the money, and the level of free trade in the home country. Further, we find evidence that less regulation and less government control of markets in the home country leads to more stable ADR prices.