Options trading volume and stock price response to earnings announcements

We examine the effect of options trading volume on the stock price response to earnings announcements over the period 1996–2007. Contrary to previous studies, we find no significant difference in the immediate stock price response to earnings information announcements in samples split between firms with listed options and firms without listed options. However, within the sample of firms with listed options stratified by options volume, we find that higher options trading volume reduces the immediate stock price response to earnings announcements. This conforms with evidence that stock prices of high options trading volume firms have anticipated and pre-empted some earnings information in the pre-announcement period. We also find that higher abnormal options trading volume around earnings announcements hastens the stock price adjustment to earnings news and reduces post-earnings announcement drift.     

The liquidity effects associated with addition of a stock to the S&P 500 index: evidence from bid/ask spreads

This study examines changes in stock liquidity, as measured by the bid/ask spread, when a stock is added to the S&P 500 Index. The paper presents evidence of a significant decrease in the bid/ask spread upon S&P 500 addition, however, this effect is limited to only those stocks that were not trading listed options. Further, the decrease in the bid/ask spread for nonoptioned stocks is accompanied by a significant and permanent increase in share price and trading volume. While optioned stocks experience a permanent increase in trading volume, they experience only a temporary increase in share price. The findings for optioned stocks support the hypothesis that the price and volume effects associated with S&P 500 addition derive from temporary price pressure. Findings pertaining to the nonoptioned stocks indicate that the price and volume effects associated with S&P addition reflect enhanced stock liquidity. The decrease in the bid/ask spread for nonoptioned stocks is attributed to informational efficiencies achieved via index arbitrage trading, and it is argued that this effect is mitigated for optioned stocks due to the pre-existence of arbitrage trading between the option and the underlying stock.     

Analyst coverage: Does the listing location really matter?

Using a count panel regression method, we find that the listing location really does matter as stocks listed on the main board (FTSE350) rather than the junior market (AIM) attract more analyst coverage than can be explained by existing factors, even when we control for listing requirements and the type of cross-listing. We also find that listing requirements have a significantly greater impact on the number of analysts following AIM companies rather than their FTSE350 counterparts. Moreover, pooling stocks from different listing locations can conceal additional differences in the determinates of analyst services for the main board and junior markets. For example, cross-listing on a stock exchange increases analysts coverage for FTSE350 stocks but not AIM stocks and listing on less transparent trading venues such as over the counter and alternative trading systems (dark pools) decreases analyst coverage, especially for AIM stocks.     

Are Economically Significant Stock Returns and Trading Volumes Driven by Firm‐specific News Releases?

This paper explores whether firm‐specific information events drive economically relevant positive and negative stock price changes and trading volume and, if so, the nature of such information. We find that no less than 65% of significant price changes and trading volume movements in our sample of FTSE 350 companies can be readily explained by public domain information contradicting the thesis that corporate news is not a primary driver, and that share price changes and trading volume activity are driven by factors unrelated to information flows per se. In addition, we find that a parsimonious set of news categories represent the key drivers. Sell‐side analyst stock recommendations and earnings forecast revisions as a class, unaccompanied by other news releases, dominate all other news categories in terms of significant market reaction. However, taking into account the relative magnitude of market response to different news releases, firms' formal accounting disclosures dominate within this domain. As such, we conclude these are not fully anticipated by apparently more timely market disclosures, and that the existence of news services and the activities of the sell‐side analyst are not substitutes for a firm's interim and preliminary results.     

Empirical Evidence on the Role of Trading Suspensions in Disseminating New Information to the Capital Market

Abstract:  This paper examines the effect of temporarily suspending the trading of exchange-listed individual stocks. We evaluate whether regulatory authorities can successfully use the mechanism of trading suspension in forcing companies to disclose new and material information to the capital market. Previous studies on trading suspensions mainly concentrate on North-American stock markets and find conflicting results. This study utilizes a new data set comprising of firms listed on Euronext Brussels – an important segment of Europe's leading cross-border exchange. Our results show that suspension is indeed an effective means of disseminating new information. Stock prices adjust completely and instantaneously to the new information released during trading suspensions. We also observe a significant increase in trading volume with the reinstatement of trading. On the other hand, we do not find support for the claim that trading suspensions increase the volatility of stock prices. Overall, our results show the efficacy of trading suspensions in disseminating new information.     

Social media bots and stock markets

This study examines the link between information spread by social media bots and stock trading. Based on a large sample of tweets mentioning 55 companies in the FTSE 100 composites, we find significant relations between bot tweets and stock returns, volatility, and trading volume at both daily and intraday levels. These results are also confirmed by an event study of stock response following abnormal increases in the volume of tweets. The findings are robust to various specifications, including controlling for traditional news channel, alternative measures of volatility, information flows in pretrading hours, and different measures of sentiment.     

Multimarket Trading and Liquidity: Theory and Evidence

We develop a new model of multimarket trading to explain the differences in the foreign share of trading volume of internationally cross‐listed stocks. The model predicts that the trading volume of a cross‐listed stock is proportionally higher on the exchange in which the cross‐listed asset returns have greater correlation with returns of other assets traded on that market. We find robust empirical support for this prediction using stock return and volume data on 251 non‐U.S. stocks cross‐listed on major U.S. exchanges.     

A change of focus: Stock market reclassification in the UK

Abstract

This paper examines the impact of a change of focus by a firm, as signified by a firm's stock market reclassification. It distinguishes between a firm's sector reclassification motivated by information specific to that firm and one that results from the redefinition and reorganisation of a sector. The direction of the price effects following reclassification depends significantly upon this distinction. Furthermore, a stock's return comovement with the FTSE All-Share Index is affected by its reclassification into a new sector, consistent with the allocation of stocks into categories by investors. Reclassification can induce common factors in the returns to stocks in an index without there being any change in these stocks’ fundamental cash flows.     

The Impact of Changes in the FTSE 100 Index

This paper investigates FTSE 100 index membership changes, which are determined quarterly by market capitalization and should have no information content. Return reversal around index additions and deletions suggests that buying (selling) pressure moves prices temporarily away from equilibrium, consistent with short‐term downward sloping demand curves. In contrast to widely reported results for the S&P 500, there is no evidence of permanent price effects. Further results suggest that investor awareness and monitoring due to index membership do not explain the price effects. There is statistically significant anticipatory trading in stocks that just fail to be promoted to the FTSE 100.     

Internet search intensity,liquidity and returns in emerging markets

Using a sample of listed companies in the Vietnam stock market from 2013 to 2018, this paper investigates the linkage between Internet search intenseness and stock returns and trading volume. The empirical results confirm the “price pressure hypothesis” that search intensity is positively associated with subsequent stock returns and trading volume. It also finds that the positive effects on stock returns are not temporary but remain for the long term although some reversals occur. The results show that the effects of search intensity on stock returns are higher for large stocks than for small stocks. The findings also reveal that stocks that attract more attention from the public are exposed to higher market risk. These findings have not been documented in the literature so they enrich the information on the relationship between Internet search intenseness and stock market returns, especially for emerging markets where Internet user numbers are sharply increasing.     

Abnormal trading volume,news and market efficiency: Evidence from the Jamaica Stock Exchange

This paper investigates market efficiency of the Jamaica Stock Exchange (JSE). Together, weak and semi-strong form efficiency claim that historical and newly released public information do not predict future stock price movement. We test both forms of market efficiency by analyzing stock price behavior during times of abnormal trading volume and around the release dates of earnings information. Abnormal trading volume may be driven by liquidity demand or reflect new or private information flow to the market. Using JSE data over the period 2000 to 2021, we find price dynamics consistent with price pressure as firms experience negative abnormal returns on the day of abnormal trading activity but offsetting positive abnormal stock returns on the following day. Further findings show post earnings announcement drift on the JSE. Taken as a whole, the evidence suggests violations of market efficiency and has implications for capital allocation in this emerging market.     

Does the location of stock exchange matter? A within-country analysis

The current study documents an interesting phenomenon that retail investors prefer to invest in stocks listed at the stock exchange that is geographically close to them in China. This pattern is robust when we control for the well-documented local bias within a country. Among companies with similar distances to both stock exchanges and companies headquartered locally, investors still display a strong tendency to invest in locally-listed stocks. Among stocks with similar distances to both stock exchanges, those listed in Shanghai (Shenzhen) co-move more in returns and trading volumes, with the benchmark at the Shanghai (Shenzhen) stock exchange. Such a preference for local exchange seems not to be motivated by information advantage, because investors do not obtain abnormal returns from their trades on stocks listed nearby. Our findings provide additional evidence that non-information-based familiarity bias induces investment and that such investor bias and exchange-level sentiment influence asset price formation.     

Rumors in the sky: Corporate rumors and stock price synchronicity

Using hand-collected rumor clarification announcements from Chinese listed firms to identify corporate rumors, we find that rumored firms have lower stock price synchronicity (R²) than do firms without rumors. Channel analyses reveal that rumors reduce stock price synchronicity through elevating investor sentiment rather than stimulating informed trading. Additionally, the negative association between corporate rumors and stock price synchronicity is more evident among firms with more individual investors and higher information opacity. Moreover, corporate rumors are associated with higher analyst forecast errors and forecast dispersion. Overall, our evidence suggests that corporate rumors reduce stock price synchronicity by increasing investor irrationality.     

Noise and the Trading Mechanism: the Case of SETS

On 20 October 1997 the London Stock Exchange introduced a new trading system called SETS. This system was to replace the dealer system SEAQ, which had been in operation since 1986. Using the iterative sum of squares test introduced by Inclan and Tiao (1994) , we investigate whether there was a change in the unconditional variance of opening and closing returns, at the time SETS was introduced. We show that for the FTSE‐100 stocks traded on SETS, on the days following its introduction, there was a widespread increase in the volatility of both opening and closing returns. However, no synchronous volatility changes were found to be associated with the FTSE‐100 index or FTSE‐250 stocks. We conclude therefore that the introduction of the SETS trading mechanism caused an increase in noise at the time the system was introduced.     

The comovement of option listed stocks

This study examines the changes in return comovement around the listing and delisting of stock option contracts. We show that newly option listed stocks experience an increase in comovement with a portfolio of option listed stocks and a decrease in comovement with the portfolio of non-optioned stocks. Similarly, stocks that undergo option delisting exhibit a decrease in comovement with option listed stocks and an increase in comovement with non-optioned stocks. We verify the reliability of our findings in several ways. A matched sample analysis suggests that our results are not driven by factors other than option listing and we find similar results using a calendar-time approach. Further analysis reveals that commonalities in option trading may induce the comovement in the option listed stocks. Overall, our evidence is consistent with the predictions of the category or habitat view of comovement.     

Return and Volatility Spillovers Between Large and Small Stocks in the UK

Abstract:  This paper investigates return and volatility spillover effects between the FTSE 100, FTSE 250 and FTSE Small Cap equity indices using the multivariate GARCH framework. We find that return and volatility transmission mechanisms between large and small stocks in the UK are asymmetric. In particular, there are significant spillover effects in both returns and volatility from the portfolios of larger stocks to the portfolios of smaller stocks. For volatility, there is also evidence of limited feedback from the portfolios of smaller stocks to the portfolios of larger stocks, although sub-period analysis suggests that this is to some extent period-specific. Simulation evidence shows that non-synchronous trading potentially explains some, but not all, of the spillover effects in returns, and that it explains none of the spillover effects in volatility. These results are consistent with a market in which information is first incorporated into the prices of large stocks before being impounded into the prices of small stocks.     

Estimating the price elasticity of demand in the London stock market

The hypothesis that demand curves for individual stocks slope downwards is typically investigated by empirical analysis of stock price movements following events that cause shifts in demand or supply. However, it is difficult to attribute observed price movements between downward sloping demand curves and information conveyed by the event. In this paper an econometric approach, based on market-maker response to unexpected changes in inventory, is used to separate out the slope of the demand curve from information effects and estimate the slopes of the demand curves for twenty stocks included in the Financial Times-Stock Exchange 100 Share Index (FTSE100). The analysis suggests that downward sloping demand curves would decrease the price by about 7.5% for a 1% increase in the number of outstanding shares.     

Did institutions herd during the internet bubble?

We examine the trading behavior of institutional investors during the internet bubble and crash of 1998–2001, and its impact on stock prices. Similar to some recent findings concerning the trading behavior of hedge funds and NASDAQ 100 stocks, we find that during the bubble all types of institutions herded with great intensity into internet stocks for a comprehensive sample of institutional investors and internet stocks. In addition to this, we present three entirely new results. First, institutional herding was much greater than what can be explained by momentum trading. Second, institutions as a group continued to increase their holdings of internet stocks for two quarters past the market peak during the first quarter of 2000, and three quarters past the peak for individual stock prices, suggesting that institutions were unable to time the price peaks. Finally and most importantly, we find positive abnormal returns contemporaneous with institutional herding and negative abnormal returns (reversals) at the point that herding ceased. This finding suggests that institutions’ trading created temporary price pressures, and may have contributed to the bubble.     

Lower tick sizes and futures pricing efficiency: evidence from the emerging Malaysian market

We provide robust evidence of the impact on spot market liquidity and the pricing efficiency of FBM-FKLI index futures following the introduction of lower tick sizes for the stocks listed in the Bursa Malaysia. Our findings show a significant increase in unexpected trading volume and the speed of mean reversion of the futures mispricing. We find that the increase in the unexpected trading volume of the underlying stocks helps in reducing inter-market price discrepancies. The findings offer new evidence that lowering of tick sizes improves pricing efficiency in the Malaysian futures market.