Estimating daily volatility in financial markets utilizing intraday data

This study proposes a new approach to the estimation of daily realised volatility in financial markets from intraday data. Initially, an examination of intraday returns on S&P 500 Index Futures reveals that returns can be characterised by heteroscedasticity and time-varying autocorrelation. After reviewing a number of daily realised volatility estimators cited in the literature, it is concluded that these estimators are based upon a number of restrictive assumptions in regard to the data generating process for intraday returns. We use a weak set of assumptions about the data generating process for intraday returns, including transaction returns, given in den Haan and Levin [den Haan, W.J., Levin, A., 1996. Inferences from parametric and non-parametric covariance matrix estimation procedures, Working paper, NBER, 195.], which allows for heteroscedasticity and time-varying autocorrelation in intraday returns. These assumptions allow the VARHAC estimator to be employed in the estimation of daily realised volatility. An empirical analysis of the VARHAC daily volatility estimator employing intraday transaction returns concludes that this estimator performs well in comparison to other estimators cited in the literature.     

On the intraday periodicity duration adjustment of high-frequency data

In the last decade, intensive studies on modeling high frequency financial data at the transaction level have been conducted. In the analysis of high-frequency duration data, it is often the first step to remove the intraday periodicity. Currently the most popular adjustment procedure is the cubic spline procedure proposed by Engle and Russell (1998). In this article, we first carry out a simulation study and show that the performance of the cubic spline procedure is not entirely satisfactory. Then we define periodicity point processes rigorously and prove a time change theorem. A new intraday periodic adjustment procedure is then proposed and its effectiveness is demonstrated in the simulation example. The new approach is easy to implement and well supported by the point process theory. It provides an attractive alternative to the cubic spline procedure.     

Identifying the interaction between stock market returns and trading flows of investor types: Looking into the day using daily data

This paper introduces a new method for identifying the simultaneity between returns and trading flows. The proposed method enables us to identify the intraday interaction using daily data, and provides measures of the information content of trading flows, and their instantaneous response to public information and information revealed by market prices. Applying this method to daily data on investor types from the Korea Stock Exchange, we find significant intraday bi-directional interaction between flows and returns and their latent common drivers, altering some of the results of the previous literature based on Cholesky assumptions. Thus, we obtain a number of new insights concerning the behavior of investor types.     

The disposition effect and investor experience

We examine whether investing experience can dampen the disposition effect, that is, the fact that investors seem to hold on to their losing stocks to a greater extent than they hold on to their winning stocks. To do so, we devise a computer program that simulates the stock market. We use the program in an experiment with two groups of subjects, namely experienced investors and undergraduate students (the inexperienced investors). As a control procedure, we consider random trade decisions made by robot subjects. We find that though both human subjects show the disposition effect, the more experienced investors are less affected.     

Testing for micro-structure effects of international dual listings using intraday data

This paper examines the impact on the liquidity of NYSE/AMEX listed stocks when they were subsequently listed on the London or the Tokyo Stock Exchanges. It can be argued that the increased competition from foreign market makers will reduce the monopoly rents that specialists can earn, thereby improving their quotes. We find, however, that spreads do not decrease following a dual listing, though the depth of the quotes increases as predicted. The apparent increase in depth disappears once we account for changes in price, volume and return variance. We also find that the level of informed trading increases, which increases the cost to the specialist of providing liquidity, and explains why spreads do not decline in spite of increased competition. Consistent with an increase in informed trading, we also document an increase in trading activity.     

Irrational investor response to stock splits in an emerging market

Using the creation and collapse of the Cyprus stock market bubble as a backdrop, we document substantial positive abnormal returns around the announcement and execution of stock splits in Cyprus. Split-induced returns cannot be explained by variables proxying for conventional liquidity and signalling hypotheses for stock-split activity. Positive split-induced returns are largely reversed in the post-split months. Post-split stock underperformance is inversely related to, and thus appears to be a correction for, the significant market overreaction at split execution. We suggest an investor irrationality explanation for these results, arguing that stock splits were associated with the creation of the bubble due to the inability of investors to understand splits correctly. We conclude that educating investors in emerging markets to process information correctly will improve the efficiency of such markets.     

Volatility forecasting in the Chinese commodity futures market with intraday data

Given the unique institutional regulations in the Chinese commodity futures market as well as the characteristics of the data it generates, we utilize contracts with three months to delivery, the most liquid contract series, to systematically explore volatility forecasting for aluminum, copper, fuel oil, and sugar at the daily and three intraday sampling frequencies. We adopt popular volatility models in the literature and assess the forecasts obtained via these models against alternative proxies for the true volatility. Our results suggest that the long memory property is an essential feature in the commodity futures volatility dynamics and that the ARFIMA model consistently produces the best forecasts or forecasts not inferior to the best in statistical terms.     

The S&P500 index effect reconsidered: Evidence from overnight and intraday stock price performance and volume

This study focuses on S&P500 inclusions and deletions, examining the impact of potential overnight price adjustment after the announcement of an S&P500 index change. We find evidence of a significant overnight price change that diminishes the returns available to speculators although there are still profits available from the first day after announcement until a few days after the actual event. More importantly, observing the tick-by-tick stock price performance and volume effects on the key days during the event window for the first time, we find evidence of consistent trading patterns during trading hours. A separate analysis of NASDAQ and NYSE listed stocks allows for a detailed examination of the price and volume effect at an intra-day level. We find that index funds appear to cluster their rebalancing activities near to and after the close on the event date, suggesting that they are more concerned with tracking error than profit.     

Retail investor attention and corporate innovation in the big data era

This paper explores the corporate governance role of retail investor attention from the perspective of corporate innovation. Using a sample of Chinese listed firms from 2011 to 2019, we find that retail investor attention significantly promotes corporate innovation. Thisresult ise robust to a series of robustness checks to address potential endogeneity concerns. I further conclude that the impact of retail investor attention on corporate innovation is mainly through alleviating a firm's financial constraints and deterring agency costs. In addition, such effects are more pronounced in firms with higher media and analyst coverage as well as those with more overconfident CEOs. The results provide empirical evidence of the corporate governance function of individual investors in the current digital era.     

A new methodology for studying intraday dynamics of Nikkei index futures using Markov chains

The empirical study of intraday patterns of stock trading volatilities and bid–ask spreads in the literature depends on assumptions of specific price generating process and may therefore not be robust to distributional assumptions. By creating discrete states that conform more naturally to the way prices are actually quoted in the derivatives and assets markets, we employ a new methodology of Markov chains for studying the intraday dynamics of derivative prices. We apply the method to study the intraday behavior of the Nikkei index futures prices, trading volumes, and spreads. We find some interesting results such as higher probabilities of transitions between larger volatilities at the opening and closing times. The volatility at lunch break is strikingly low. Contrary to most of the literature, the Nikkei intraday bid–ask spread does not show a U-shaped pattern. We offer some explanations.     

The effect of price limits on intraday volatility and information asymmetry

We investigate the effect of price limits on intra-day volatility and information asymmetry using transactions data from the Taiwan Stock Exchange. Proponents of price limits argue that they provide an opportunity for investors to reevaluate market information and make more rational trading decisions. We identify three different limit hits – closing, single, and consecutive – and hypothesize that only the consecutive limit hits are likely to provide such an opportunity, namely, to counter investor overreaction (volatility hypothesis) and to enhance information revelation (information asymmetry hypothesis). Our empirical evidence supports the volatility hypothesis. Our findings generate important policy implications for stock markets that have price limits.     

Pre-holiday effect,large trades and small investor behaviour

This paper investigates the existence of a pre-holiday effect in the most important individual stocks of the Spanish Stock Exchange that are also traded in both the New York Stock Exchange and the Frankfurt Stock Exchange. Our results show high abnormal returns on the trading day prior to holidays that are not related to any calendar anomaly. A thorough study of diverse liquidity-related measures suggests a new explanation for the pre-holiday effect based on the reluctance of small investors to buy on pre-holidays. The results of this paper are important for the practitioners since we show that institutional investors could have economically exploited this anomaly.     

Social media effect,investor recognition and the cross-section of stock returns

Investor recognition affects cross-sectional stock returns. In informationally incomplete markets, investors have limited recognition of all securities, and their holding of stocks with low recognition requires compensation for being imperfectly diversified. Using the number of posts on the Chinese social media platform Guba to measure investor recognition of stocks, this paper provides a direct test of Merton's investor recognition hypothesis. We find a significant social media premium in the Chinese stock market. We further find that including a social media factor based on this premium significantly improves the explanatory power of Fama-French factor models of cross-sectional stock returns, and these results are robust when we control for the mass media effect and liquidity effect. Finally, we find that investment strategies based on the social media factor earn sizable risk-adjusted returns, which signifies the importance of the social media premium in portfolio management.     

Addition to the Nikkei 225 Index and Japanese market response: Temporary demand effect of index arbitrageurs

We examine the Japanese stock market response to additions to the Nikkei 225 Index from 1991 to 2002. Similar to the reactions in the U.S. markets, the stock prices of the added firms go up on the announcement date, continue to increase until the day before the effective change date, and then decrease on and just after the change date. The stock price increase in this run-up period is thus temporary, as it is canceled out by the decline that begins on the change date. We also find that the excess demand of index arbitrageurs for shares of newly added firms is the main source of the temporary stock price increase.     

Red sky at night or in the morning,to the equity market neither a delight nor a warning: the weather effect re-examined using intraday stock data

Unlike most of the existing literature on the weather effect, we conducted our analysis by employing intraday weather and market data, examining a large set of stocks rather than indices only, including volume and volatility data in the study and inspecting a wide number of weather variables (temperature, humidity, pressure, visibility, wind, cloud, rain and snow). Our analysis covered the Italian stock market for the period August 2005–March 2014 for a total of 2201 trading days. We conclude that no systematic relationship seems to exist between the weather and the Italian stock market. Moreover, our results raise doubts that testing the weather effect by limiting the analysis to indices only can lead to spurious conclusions.     

The SEC's retail investor 2.0: Interactive data and the rise of calculative accountability

The Securities and Exchange Commission (SEC) in the United States mandated a new digital reporting system for US companies in late 2008. The new generation of information provision has been dubbed by Chairman Cox, ‘interactive data’ (SEC, 2006a). Despite the promise of its name, we find that in the development of the project retail investors are invoked as calculative actors rather than engaged in dialogue. Similarly, the potential for the underlying technology to be applied in ways to encourage new forms of accountability appears to be forfeited in the interests of enrolling company filers.We theorise the activities of the SEC and in particular its chairman at the time, Christopher Cox, over a three year period, both prior to and following the ‘credit crisis’. We argue that individuals and institutions play a central role in advancing the socio-technical project that is constituted by interactive data. We adopt insights from ANT (Callon, 1986, Latour, 1987, Latour, 2005b) and governmentality (Miller, 2008, Miller and Rose, 2008) to show how regulators and the proponents of the technology have acted as spokespersons for the interactive data technology and the retail investor. We examine the way in which calculative accountability has been privileged in the SEC's construction of the retail investor as concerned with atomised, quantitative data (Kamuf, 2007, Roberts, 2009, Tsoukas, 1997). We find that the possibilities for the democratising effects of digital information on the Internet has not been realised in the interactive data project and that it contains risks for the very investors the SEC claims to seek to protect.     

Simultaneous monetary policy announcements and international stock markets response: An intraday analysis

This paper investigates the return and volatility response of major European and US equity indices to monetary policy surprises by utilizing extensive intraday data on 5-min price quotes along with a comprehensive dataset on monetary policy decisions and macroeconomic news announcements. The results indicate that the monetary policy decisions generally exert immediate and significant influence on stock index returns and volatilities in both European and the US markets. The findings also show that press conferences held by the European Central Bank (ECB) that follow monetary policy decisions on the same day have a clear impact on European index return volatilities. This implies that they convey additional important information to market participants. Overall, our analysis suggests that the use of high frequency data is critical to separate the effect of monetary policy actions from those of macroeconomic news announcements on stock index returns and volatilities.     

The reaction of asset prices to macroeconomic announcements in new EU markets: Evidence from intraday data

We estimate the impact of macroeconomic news on composite stock returns in three emerging European Union financial markets (the Budapest BUX, Prague PX-50, and Warsaw WIG-20), using intraday data and macroeconomic announcements. Our contribution is twofold. We employ a larger set of macroeconomic data releases than used in previous studies and also use intraday data, an excess impact approach, and foreign news to provide more reliable inferences. Composite stock returns are computed based on 5-min intervals (ticks) and macroeconomic news are measured based on the deviations of the actual announcement values from their expectations. Overall, we find that all three new EU stock markets are subject to significant spillovers directly via the composite index returns from the EU, the U.S. and neighboring markets; Budapest exhibits the strongest spillover effect, followed by Warsaw and Prague. The Czech and Hungarian markets are also subject to spillovers indirectly through the transmission of macroeconomic news. The impact of EU-wide announcements is evidenced more in the case of Hungary, while the Czech market is more impacted by U.S. news. The Polish market is marginally affected by EU news. In addition, after decomposing pooled announcements, we show that the impact of multiple announcements is stronger than that of single news. Our results suggest that the impact of foreign macroeconomic announcements goes beyond the impact of the foreign stock markets on Central and Eastern European indices. We also discuss the implications of the findings for financial stability in the three emerging European markets.     

Framing and the disposition effect: evidence from mutual fund investor redemption behaviour

Research on decision-making under uncertainty has highlighted that individuals often use simple heuristics and/or exhibit behavioural biases. Specifically, with respect to portfolio decisions, research has indicated that investors are subject to the disposition effect, i.e. they are reluctant to sell assets that have performed poorly (losers) and prone to sell assets that have performed well (winners). We find that the mutual fund investors in our sample are subject to the disposition effect when they withdraw the redemption proceeds from their account, but not when they reallocate the proceeds within the account. The evidence is consistent with Shefrin and Statman’s hypothesis that framing a transaction as a transfer as opposed to a sale mitigates the disposition effect.