World War II events and the Dow Jones industrial index

This paper investigates which events of World War II (WWII) the US investors (at that time) considered as turning points (structural breaks) of the war. The empirical study employs daily Dow Jones industrial average stock index and volatility from January 1939 to December 1945 and applies structural shift oriented test to determine endogenously the structural breaks during the WWII period. Results show that the majority of the wartime events (on and off the battlefield) labelled important by historians did result in structural breaks in both price movement and stock returns volatility (risk). These results have major implications for investors of the present and future.     

Location-specific stock market indices: an exploration

This article develops an alternative location-specific stock market index driven by investors’ ‘attachment’ towards investment at a specific location. We evaluate the performance of hypothetical stock market indices that track companies based on their state of registration, taking the US stock market as our case. Using annual data since 1980 we present raw, risk-adjusted and value-weighted state portfolios’ returns to study the extent to which stock market performance varies by state-level demographics and economic factors. A dynamic panel data estimation – with and without spatial spillover effects – is employed to establish a strong association between stock price performance and the state-level (or geography-weighted) factors. We find that spatial effects are strong and that the ‘spatial attachment’ of companies in interaction with the various location-specific variables imparts an overarching influence on stock-price performance. Comparison of model performances further supports our claims.     

Football championships and jersey sponsors’ stock prices: an empirical investigation

Corporate sports sponsorship is an important part of many companies’ corporate communication strategy. In this paper, we take the example of major football tournaments to show that sponsorship indeed affects the sponsor's (stock) market value. We find a statistically significant impact of football results (at an individual match level) of the seven most important football nations at European and World Championships on the stock prices of jersey sponsors. In general, the more important a match and the less expected its result, the higher its impact. In addition, we find a form of ‘mere-exposure’ effect which is difficult to reconcile with the efficient markets hypothesis.     

Employee stock option plans and stock market reaction: evidence from Finland

This paper examines whether the adoption of stock option plans results in changes in shareholders’ wealth, and whether the stock market reactions to ESOP announcements could be explained by the target group of ESOP and the dilution effect. Short-horizon test methods are applied for this purpose. The sample consists of ESOP announcements of Finnish publicly quoted companies on the Helsinki Stock Exchange during the time period 1988–1998. The event study results show a slightly positive market reaction to announcements of ESOPs targeted to management and a negative market reaction in the case of ESOPs targeted to all employees. The results of regression analysis show that the ESOPs with limited dilution convey positive information to the stock market and the dilution effect has a negative impact on stock returns, especially in the case of ESOPs targeted to all employees.     

Implied volatility skews and stock return skewness and kurtosis implied by stock option prices

The Black-Scholes* option pricing model is commonly applied to value a wide range of option contracts. However, the model often inconsistently prices deep in-the-money and deep out-of-the-money options. Options professionals refer to this well-known phenomenon as a volatility ‘skew’ or ‘smile’. In this paper, we examine an extension of the Black-Scholes model developed by Corrado and Su that suggests skewness and kurtosis in the option-implied distributions of stock returns as the source of volatility skews. Adapting their methodology, we estimate option-implied coefficients of skewness and kurtosis for four actively traded stock options. We find significantly nonnormal skewness and kurtosis in the option-implied distributions of stock returns.     

Common stock returns,real activity,money, and inflation: Some international evidence

This paper tests whether the negative relationship between real stock returns and inflation in the United States is in fact proxying for a positive relationship between stock returns and real activity variables in six major industrial countries over 1966–1979. Consistent with Fama's ‘proxy-effect’ hypothesis, we document a negative relationship between inflation and real activity and a positive one between real stock returns and real activity variables. Real activity variables dominate money growth rates and expected and unexpected inflation in explaining real stock returns. A puzzling result that still remains is the positive role of money and the negative role of expected inflation in explaining these real stock returns in all major industrial countries.     

Institutional investors and stock returns volatility: Empirical evidence from a natural experiment

In this paper, we provide empirical evidence on the impact of institutional investors on stock market returns dynamics. The Polish pension system reform in 1999 and the associated increase in institutional ownership due to the investment activities of pension funds are used as a unique institutional characteristic. Performing a Markov-switching-GARCH analysis we find empirical evidence that the increase of institutional ownership has temporarily changed the volatility structure of aggregate stock returns. The results are interpretable in favor of a stabilizing effect on index stock returns induced by institutional investors.     

Another January effect—Evidence from stock split announcements

This paper examines whether there is a January effect in the propensity and abnormal returns of stock split announcements. It provides primary evidence in the investigation of using monthly effects to explain the patterns of stock splits. The results show that the January effect exists in the likelihood of the occurrence of share splits and in the associated short-term abnormal returns. We also find that another monthly effect—the Halloween effect—exists in stock split announcements. However, the January effect has a much larger and considerably more significant impact on the probability and returns of these announcements. The results of this paper shed light on why we observe patterns in the announcement of corporate events.     

Slow-moving capital and stock returns

This paper studies the effects that delay in capital allocations in the stock market and high short-term trading incentives have on returns of this market. We report that capital inertia makes the Sharpe ratio and the volatility of the stock returns many times higher than in an economy with no capital delays. Furthermore, in agreement with empirical literature, the stock price displays short-term overreaction and high volatility of the conditional Sharpe ratio.     

Do institutional investors destabilize stock prices? evidence from an emerging market

In this paper, we provide empirical evidence on the impact of institutional investors on stock market returns dynamics in Poland. The Polish pension system reform in 1999 and the associated increase in institutional ownership due to the investment activities of pension funds are used as a unique institutional characteristic. We find robust empirical evidence that the increase of institutional ownership has changed the autocorrelation and volatility structure of aggregate stock returns. However, the findings do not support the hypothesis that institutional investors have destabilized stock prices. The results are interpretable in favor of a stabilizing effect on index stock returns induced by institutional trading.     

Normality of stock returns with event time clocks

We introduce a different way to measure time using event clocks, with which we can observe a normal distribution of intraday stock returns. Most finance studies employ a ‘default’ time measurement that uses a calendar clock. Cumulative evidence from prior literature shows that returns with a calendar clock follow a distribution with an excess kurtosis and a heavier tail, relative to a normal distribution. We examine the distribution of intraday stock returns using different clocks. We find that returns do not follow a normal distribution with a traditional calendar clock, but do follow a normal distribution when event clocks are applied.     

Changing conditions in the Hong Kong new issues market

This paper examines the Hong Kong IPO market from August 1995 to July 1999 and finds that the time of the June 30 1997 political handover coincides with the transition in the IPO market from ‘hot’ to ‘cold’. Although the handover was an anticipated event, an explanation for the change in market is that the political handover created uncertainty among investors; a type of information asymmetry where all investors faced greater uncertainty. Our finding provides empirical support to literature which proposes that events in the months preceding the October 27 1997 correction in Asian stock markets facilitated a decline in confidence in financial markets, subsequently characterised as the ‘Asia Financial Crisis’. In addition, we find initial returns of newly listed stocks in the Hong Kong market are associated with market condition but not associated with any particular industry (i.e., PROPERTY) or geographic location (i.e., ‘H’ SHARES) suggesting that the prevailing market condition was spread more generally across issues.     

Linkages among European and world stock markets

Causal relations and dynamic interactions among equity returns in ten countries for the period 1983–1994 are analysed. An innovation accounting approach based on a multivariate vector autoregressive (VAR) model is used to estimate the proportion of each market return's forecast error attributable to innovations in foreign market returns. Three major results appear. The variance decompositions indicate a strong degree of economic interaction among stock markets. The US stock market has a considerable influence on stock market performance in almost every country, while there is no substantial inter-continental influence from the European stock markets on the world's two largest equity markets in New York and Tokyo. Finally, the pattern of the impulse-response functions illustrates a rapid international transmission of stock market events, supporting the hypothesis of international stock market efficiency.     

Realizing stock market crashes: stochastic cusp catastrophe model of returns under time-varying volatility

This paper develops a two-step estimation methodology that allows us to apply catastrophe theory to stock market returns with time-varying volatility and to model stock market crashes. In the first step, we utilize high-frequency data to estimate daily realized volatility from returns. Then, we use stochastic cusp catastrophe theory on data normalized by the estimated volatility in the second step to study possible discontinuities in the markets. We support our methodology through simulations in which we discuss the importance of stochastic noise and volatility in a deterministic cusp catastrophe model. The methodology is empirically tested on nearly 27 years of US stock market returns covering several important recessions and crisis periods. While we find that the stock markets showed signs of bifurcation in the first half of the period, catastrophe theory was not able to confirm this behaviour in the second half. Translating the results, we find that the US stock market’s downturns were more likely to be driven by the endogenous market forces during the first half of the studied period, while during the second half of the period, exogenous forces seem to be driving the market’s instability. The results suggest that the proposed methodology provides an important shift in the application of catastrophe theory to stock markets.     

Firm efficiency and stock returns: Australian evidence

We employ a stochastic frontier approach to estimate firm efficiency - the efficiency with which a firm converts its inputs into output. We find a negative relation between firm efficiency and the cross-section of stock returns (‘firm efficiency effect’) in the Australian stock market. The firm efficiency effect is robust after controlling for other firm characteristics and is more pronounced in stocks with high limits-to-arbitrage. However, we find no evidence that firm efficiency is a priced factor in the cross-section. Our findings suggest that investors misprice firm efficiency and arbitrage costs perpetuate its return predictability.     

Local and global price memory of international stock markets

The prime focus of this paper is on the impact of the world’s leading markets (USA, Japan, Hong Kong, UK, France, Switzerland and Germany) on the returns of the small Nordic markets (Denmark, Finland, Norway and Sweden). The order and the degree of processing both ‘local’ and ‘global’ information are uncovered using a combination of cointegration analysis and structural VAR modeling utilizing daily index returns. The results indicate that the US price changes, conditioned on the same day changes on the other markets, have an impact on all other markets during the following day, including the US market itself. Price changes on the Asian–Pacific markets are completely absorbed in price changes in Europe and do not have any direct effect on US prices. Finally, a cointegration relationship between Sweden and Norway is found, which affects also Finland.     

Option trading after the opening bell and intraday stock return predictability

Prior literature finds that information is reflected in option markets before stock markets, but no study has explored whether option volume soon after market open has predictive power for intraday stock returns. Using novel intraday signed option-to-stock volume data, we find that a composite option trading score (OTS) in the first 30 min of market open predicts stock returns during the rest of the trading day. Such return predictability is greater for smaller stocks, stocks with higher idiosyncratic volatility, and stocks with higher bid–ask spreads relative to their options’ bid–ask spreads. Moreover, OTS is a significantly stronger predictor of intraday stock returns after overnight earnings announcements. The evidence suggests that option trading in the 30 min after the opening bell has predictive power for intraday stock returns.     

Disruption and stock markets: Evidence from Hong Kong

We examine the impact of disruption on stock markets using the 2019 Hong Kong protests for identification. We find that greater protest intensity corresponds to higher bid–ask spreads, lower trading volume, and greater return volatility for dual-listed Chinese firms’ Hong Kong (H) shares but not their home (A) shares. We also document negative abnormal returns only for these firms’ H-shares around major protest events, which shortly after exhibit reversal. Next, we validate our main findings by documenting similar results using Hong Kong-listed firms only. Overall, we provide new evidence highlighting the impact of protest-induced disruption on financial markets.     

Intraday online investor sentiment and return patterns in the U.S. stock market

We implement a novel approach to derive investor sentiment from messages posted on social media before we explore the relation between online investor sentiment and intraday stock returns. Using an extensive dataset of messages posted on the microblogging platform StockTwits, we construct a lexicon of words used by online investors when they share opinions and ideas about the bullishness or the bearishness of the stock market. We demonstrate that a transparent and replicable approach significantly outperforms standard dictionary-based methods used in the literature while remaining competitive with more complex machine learning algorithms. Aggregating individual message sentiment at half-hour intervals, we provide empirical evidence that online investor sentiment helps forecast intraday stock index returns. After controlling for past market returns, we find that the first half-hour change in investor sentiment predicts the last half-hour S&P 500 index ETF return. Examining users’ self-reported investment approach, holding period and experience level, we find that the intraday sentiment effect is driven by the shift in the sentiment of novice traders. Overall, our results provide direct empirical evidence of sentiment-driven noise trading at the intraday level.     

Information diffusion and the predictability of New Zealand stock market returns

This paper examines the impact of international predictors from liquid markets on the predictability of excess returns in the New Zealand stock market using data from May 1992 to February 2011. We find that US stock market return and VIX contribute significantly to the out‐of‐sample forecasts at short horizons even after controlling for the effect of local predictors, while the contribution by Australian stock market return is not significant. We further demonstrate that the predictability of New Zealand stock market returns using US market predictors could be explained by the information diffusion between these two countries.