Individual and institutional herding and the impact on stock returns: Evidence from Taiwan stock market

Using high frequency intraday data, this paper investigates the herding behavior of institutional and individual investors in the Taiwan stock market. The study finds evidence of herding by both investors but a stronger herding tendency among institutional than among individual investors. Institutional investors herd more on firms with small capitalizations and lower turnovers and they follow positive feedback strategies. The portfolios that institutional investors herd buy outperform those they sell by an average of 1.009% during the 20 days after intense trading episodes. By contrast, individual investors herd more on firms with small sizes and higher turnovers, and they crowd to buy (sell) stocks with negative (positive) past returns. The portfolios that individual investors herd buy underperform those they sell by an average of − 0.829% during the following 20 days. Moreover, these return differences of both investors are more pronounced under a market with higher pressure and among small stocks. These findings suggest that the herding of institutional investors speeds up the price-adjustment process and is more likely to be driven by correlated private information, while individual herding is most likely to be driven by behavior and emotions.     

Do DOW returns really influence the intraday Spanish stock market behavior?

Although the behavior of the Spanish stock market has been studied from many different points of view, none of the previous research has ever analyzed the influence of previous daytime, overnight and daily returns from the DOW and IBEX upon 5-min intraday returns of the IBEX throughout the complete trading session. Clear evidence is provided relative to the influence of the DOW. The main finding that it underreacts to the DOW returns in the first hours of trading but overreacts during the last 2 h (after the opening of the US markets) would help to develop a profitable trading strategy.     

The asset pricing effects of UK market liquidity shocks: Evidence from tick data

Using tick data covering a 12 year period including much of the recent financial crisis we provide an unprecedented examination of the relationship between liquidity and stock returns in the UK market. Previous research on liquidity using high frequency data omits the recent financial crisis and is focused on the US, which has a different market structure to the UK. We first construct several microstructure liquidity measures for FTSE All Share stocks, demonstrating that tick data reveal patterns in intra-day liquidity not observable with lower frequency daily data. Our asymptotic principal component analysis captures commonality in liquidity across stocks to construct systematic market liquidity factors. We find that cross-sectional differences in returns exist across portfolios sorted by liquidity risk. These are strongly robust to market, size and value risk. The inclusion of a momentum factor partially explains some of the liquidity premia but they remain statistically significant. However, during the crisis period a long liquidity risk strategy experiences significantly negative alphas.     

The effect of Sarbanes-Oxley on the timely disclosure of restricted stock trading

Our paper investigates the effect of the Sarbanes-Oxley Act (SOX) on the disclosure timeliness of restricted stock trading. Insiders selling restricted stock are required to file a Form 144 because the stock is restricted and also a Form 4 because they are an insider. We confirm that mandatory filing requirements under Section 403 of SOX reduced the Form 4 disclosure delay for restricted stock transactions from 24 days in the pre-SOX period to the mandated 2 days in the post-SOX period. Although SOX did not mandate changes to Form 144 filings, we expect that disclosure timeliness of Form 144 filings is likely impacted by SOX. We find that Form 144 filings of restricted stock sales have become less timely. In the post-SOX period, Form 144, the intent to sell restricted stock, is almost always reported after the Form 4 disclosure of the executed trade. Thus, an unintended consequence of SOX is that by making the Form 4 filing more timely than the Form 144, market participants will know about a trade sooner, but have less information about the type of equity traded. An implication of this finding is that Section 403 of SOX may not have unambiguously improved investor protection as intended.     

Predictive regression with order-p autoregressive predictors

Studies of predictive regressions analyze the case where y_t is predicted by x_t ? 1 with x_t being first-order autoregressive, AR(1). Under some conditions, the OLS-estimated predictive coefficient is known to be biased. We analyze a predictive model where y_t is predicted by x_t ? 1, x_t ? 2,… x_t ? p with x_t being autoregressive of order p, AR(p) with p > 1. We develop a generalized augmented regression method that produces a reduced-bias point estimate of the predictive coefficients and derive an appropriate hypothesis testing procedure. We apply our method to the prediction of quarterly stock returns by dividend yield, which is apparently AR(2). Using our method results in the AR(2) predictor series having insignificant effect, although under OLS, or the commonly assumed AR(1) structure, the predictive model is significant. We also generalize our method to the case of multiple AR(p) predictors.     

Predictive regression: An improved augmented regression method

This paper proposes three modifications to the augmented regression method (ARM) for bias-reduced estimation and statistical inference in the predictive regression. They are in relation to improved bias-correction, stationarity-correction, and the use of matrix formulae for bias-correction and covariance matrix estimation. The improved ARM parameter estimators are unbiased to the order of n^− 1, and always satisfy the condition of stationarity. With the matrix formulae, the improved ARM can easily be implemented for a high order model with multiple predictors. From an extensive Monte Carlo experiment, it is found that the improved ARM delivers substantial gain in parameter estimation, statistical inference, and out-of-sample forecasting in small samples. As an application, the improved ARM is applied to monthly US stock return data to evaluate the predictive power of dividend yield in univariate and bivariate predictive models.     

The nexus between financial integration and real economy: Solow-growth model concept

This paper aims to investigate the nexus between financial integration and the real economy in ASEAN + 3 economies based on the concept of Solow-Growth Model. The equity indices as a proxy for financial markets are collected from each ASEAN + 3 members and are segmented between two periods; before and after the financial cooperation agreement period. The finding presents several outcomes; 1) no cointegration nexus is found in the system during the pre-agreement periods; 2) the markets are found cointegrated during the post-agreement period, 3) financial integration is found to influence the real sectors of ASEAN + 3 economies. Finally, this study offers policy implications to improve financial integration for stabilizing the real economy.     

Design and evaluation of an advanced continuous data level auditing system: A three-layer structure

Audit efficiency and effectiveness can be significantly affected by data aggregation during audit procedures. Previous studies highlight that an appropriate level of data aggregation is needed because a continuous auditing (CA) system often generates numerous alarms. To respond to this issue, this study proposes a CA system with a three-layer structure. In the first layer of the proposed system, all journal entry level transactions are classified and aggregated using defined rules; any transactions that deviate from these rules are identified as unusual transactions. The second layer detects the observations that violate controls. Analytical monitoring models are developed in the final layer to identify observations that statistically deviate from an organization’s typical business behaviors. To examine whether the proposed three-layer CA system enhances the effectiveness of a CA system in identifying financial irregularities, this study empirically tests the proposed models using real-world journal entry data from a construction company. The results indicate that the proposed framework enhances audit effectiveness and efficiency.     

Model uncertainty and systematic risk in US banking

This paper uses Bayesian Model Averaging to examine the driving factors of equity returns of US Bank Holding Companies. BMA has as an advantage over OLS that it accounts for the considerable uncertainty about the correct set (model) of bank risk factors. We find that out of a broad set of 12 risk factors only the market, real estate, and high-minus-low Fama–French factors are reliably related to US bank stock returns over the period 1986–2010. Other factors are either only relevant over specific subperiods or for subsets of bank holding companies. We discuss the implications of our findings for empirical banking research.     

Investor sentiment and stock returns: Wenchuan Earthquake

This paper exploits a natural experiment (the Wenchuan Earthquake in China) to study the effects of investor sentiment on stock returns. We find that during the 12 months following the earthquake, stock returns are significantly lower for firms headquartered nearer the epicenter than for firms further away. Further analyses indicate that this pattern of stock returns does not exist before or long after the earthquake, and cannot be explained by actual economic losses or a change in systematic risk. Overall, our evidence is consistent with the interaction of local bias and investor sentiment affecting stock returns.     

Gaining a competitive edge through acquisitions: Evidence from the telecommunications industry

I study the announcement effects of all acquisitions in the recent telecom wave on both the acquirers and their industry competitors. I find evidence of negative rival returns (? 0.55%, t-stat = 2.47) by focusing on non-horizontal acquisitions where rivals are less susceptible to experience positive returns due to increased market power or expectation that some will become future targets themselves. I find that this effect is worse for closer rivals defined as having similar size and being in the same primary service area as the acquirer. Competitor returns are positively correlated with those of the acquirers suggesting that the negative impact experienced by competitors is driven by acquisitions in which the acquirer itself is earning negative abnormal returns. Results are broadly consistent with the Competitive Advantage Hypothesis that posits acquisitions are a means of corporate restructuring in a changing environment, awarding the acquirer a competitive edge and thereby making these acquisitions costly for their non-merging competitors.     

Blockholder ownership: Effects on firm value in market and control based governance systems

In this study, Granger tests are used to examine the relationship between blockholder ownership and the values of the largest companies in the European Union and the US. Previous studies on US data have found that blockholder ownership has no systematic effect on performance. We propose that these results may not apply to Continental Europe, where ownership concentration is typically higher, the level of investor protection is lower, and influential blockholders may have objectives other than shareholder value. In accordance with previous research, we find no significant association between blockholder ownership and prior or subsequent firm value in either the US or the UK. Nonetheless, in Continental Europe we find a negative association between blockholder ownership and firm value or accounting returns in the next period. Further analysis reveals that this association is significant only for companies with high initial levels of blockholder ownership (> 10%). We interpret this finding as evidence of conflicts of interest between blockholders and minority investors. The percentage of blockholder ownership in Continental Europe may be too high from a minority shareholder value viewpoint.     

Under-or-overreaction: Market responses to announcements of earnings surprises

We test whether the well-documented market reaction to the announcements of earnings surprises is a manifestation of an investor underreaction or overreaction to extremely good or bad earnings news. Using the market reaction in the three-day period surrounding the announcements of extreme earnings surprises (i.e., SUE) in quarter Q_t as a reference point, we show that firms reporting a high (low) SUE in subsequent quarter Q_t + 1 that confirms their initial quarter Q_t SUE ranking in the same highest or lowest SUE quintiles generate an incremental price run that moves in the same direction as that of the initial SUE. However, the price impact of the confirming SUE signal is weaker than that of its initial SUE. Our findings are robust to the Fama-French three-factor daily regression extended by the momentum factor and a number of other robustness tests. Our result is not consistent with the prevalent view that investors underreact to earnings news. To the contrary, the evidence suggests an initial investor overreaction to extreme SUE signals.     

The impact of religious practice on stock returns and volatility

With a psychological and behavioral perspective, this paper examines whether religious practice, through its influence on investors' moods and emotions, affect the behavior of the stock markets and investors in 15 Islamic countries over the period December 31, 2005 to December 31, 2015 and over four sub-periods (before and after both the global financial crisis and the Arab spring). The results indicate that volatility decreases during the month of Ramadan and is significantly different from the volatility observed in the other 11 months of the Islamic calendar year in most Muslim countries. We also identify that changes in stock returns and volatility during the month of Ramadan are related to religious practice and not due to the global financial crisis or the Arab spring. The findings significantly improve the understanding of the role of religious practice on stock market behavior and as such may be of great interest to investors and market regulators.     

The importance of size in private equity: Evidence from a survey of limited partners

Using a comprehensive survey, we show that investors with a larger capital allocation to private equity are more specialized − measured by the degree to which the investor focuses on private equity rather than other classes of investments − and have a wider scope of due diligence and investment activities. Other investor characteristics (experience, type, location, compensation structure, number of funds under management) play no role. In particular, endowments are not special according to the survey measures. These results are consistent with the changing LP–GP relationship in private equity as capital is increasingly concentrated in the hands of large investors.     

Intraday stock price effects of ad hoc disclosures: the German case

This paper examines intraday stock price and trading volume effects caused by ad hoc disclosures in Germany. The evidence suggests that the stock prices react within 30 min after the ad hoc disclosures. The adjustment of the trading volume needs even more time. We find no evidence for abnormal high price nor trading volume reactions in the five transactions before ad hoc disclosures. The bigger the company, which announces an ad hoc disclosure, the less severe the abnormal price effect, following the announcement, is. The higher the trading volume at the last trading day before the announcement, the higher the price and trading volume effects, after the ad hoc disclosures, are.     

Exact inference and optimal invariant estimation for the stability parameter of symmetric α-stable distributions

Hill estimation (Hill, 1975), the most widespread method for estimating tail thickness of heavy-tailed financial data, suffers from two drawbacks. One is that the optimal number of tail observations to use in the estimation is a function of the unknown tail index being estimated, which diminishes the empirical relevance of the Hill estimation. The other is that the hypothesis test of the underlying data lying in the domain of attraction of an α-stable law (α < 2) or of a normal law (α ≥ 2) for finite samples, is performed on the basis of the asymptotic distribution, which can be different from those for finite samples. In this paper, using the Monte Carlo technique, we propose an exact test method for the stability parameter of α-stable distributions which is based on the Hill estimator, yet is able to provide exact confidence intervals for finite samples. Our exact test method automatically includes an estimation procedure which does not need the assumption of a known number of observations on the distributional tail. Empirical applications demonstrate the advantages of our new method in comparison with the Hill estimation.     

The home bias is here to stay

Over the last 15 years, dramatically decreasing foreign investment costs have not reduced the home bias. We show that the home bias induced by a given cost is proportional to the factor ρ/(1 − ρ), where ρ is the average correlation between markets. This factor is very sensitive to the correlation, especially when the correlation is high. Empirically, correlations have been steadily increasing from 0.4 in the 90’s to about 0.9 today. Thus, the decreasing extra costs are increasingly magnified, explaining the persistence of the home bias, and predicting its continuation.     

Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets

Using two newly available ultrahigh-frequency datasets, we investigate empirically how frequently one can sample certain foreign exchange and U.S. Treasury security returns without contaminating estimates of their integrated volatility with market microstructure noise. Using the standard realized volatility estimator, we find that one can sample dollar/euro returns as frequently as once every 15 to 20 s without contaminating estimates of integrated volatility; 10-year Treasury note returns may be sampled as frequently as once every 2 to 3 min on days without U.S. macroeconomic announcements, and as frequently as once every 40 s on announcement days. Using a simple realized kernel estimator, this sampling frequency can be increased to once every 2 to 5 s for dollar/euro returns and to about once every 30 to 40 s for T-note returns. These sampling frequencies, especially in the case of dollar/euro returns, are much higher than those that are generally recommended in the empirical literature on realized volatility in equity markets. The higher sampling frequencies for dollar/euro and T-note returns likely reflect the superior depth and liquidity of these markets.