Insider trading and stock prices

We examine the informational content of insider trades and its value to market investors using a US dataset. Overall, our results support the view that insider actions have positive predictive power for future returns. However, these results may come with some caveats. First, it is not the actions of all insiders (directors, officers and large shareholders) that have predictive power for future returns, but typically only those of directors and officers (senior management). Second, while director actions have predictive power for firm of all sizes, officers only have predictive power for small firms. The signal emanating from buys is stronger than the signal emanating from sells. Finally, the trading actions of directors, and to a lesser extent, officers have significant effects on the trading behaviour of other groups of insiders.     

Insider trading legislation and corporate governance

This paper analyzes the impact of insider trading legislation on corporate governance. In a context where large, dominant shareholders can monitor underperforming companies, managers have an incentive to give early warnings about adverse developments to dominant shareholders. This information is effectively a bribe to induce dominant shareholders to sell their stock and refrain from intervention. If insider trading is unregulated, dominant shareholders collude with management at the expense of small shareholders. The optimal regime forces the company to disclose all material information to the market. Private contracting between companies and shareholders leads to optimal insider trading regulation only if initial shareholders can enter a binding commitment, otherwise large shareholders and managers recontract at the expense of small shareholders. Enforcement also matters. European Union legislation requires inside information to be precise. Such a narrow definition creates a grey zone, where information is private but cannot be classified as inside information. As a result the effectiveness of corporate governance and firm value are reduced. Regulation in the US that treats shareholders with a stake exceeding 10% as insiders is potentially harmful.     

Insider trading with product differentiation

This paper investigates the effect of product differentiation on the real and financial decisions of a publicly-owned firm, competing $\grave{a}$ la Cournot with another privately-owned firm. The results show that the degree of product differentiation affects the stock price coefficients (i.e. the market maker’s response to the real signal and to the total order flow signal) and the output of the publicly-owned firm. It also appears to have a detrimental effect on the manager’s profits and compensation scheme. The paper then proposes an extension of the benchmark model to incorporate Cournot and Stackelberg competition between two insiders in the financial market. The type of the financial competition adopted has also an effect on the results of the benchmark model that sometimes depend on the degree of product differentiation.     

Insider trading with public and shared information

We study the impact of public information and shared information on traders' trading behavior in the context of Kyle's (1985) speculative market. We suppose that there are four types of traders in our model: one insider, M outsiders, liquidity traders, and market makers. We explicitly describe the unique linear Nash equilibrium and find that public information harms the insider but benefits the outsiders and noise traders. Also, the market is more efficient because of the existence of public information.     

Investor sentiment,trading behavior and stock returns

This article examines how investor sentiment and trading behaviour affect asset returns. By analysing the unique stock trading dataset of the Korean market, we find that high investor sentiment induces higher stock market returns. We also find that institutional (individual) trades are positively (negatively) associated with stock returns, suggesting the information superiority (inferiority) of institutional (individual) investors. Investor sentiment generally plays a more important role in explaining stock market returns than investor trading behaviour.     

Variability of realized stock returns and trading volume

Using monthly data for 2005–2014 time period, this article documents the relationship between lagged stock returns and trading volume. We show that the dispersion of stock returns in a market portfolio positively affects future trading volume. We also show that extreme negative returns lead to high future trading volume while extreme positive returns have little effect on future trading. Dividing our sample into several sub-samples based on the Standard Industrial Classification (SIC) divisions leads to similar results for most of the SIC divisions.     

An empirical analysis of stock returns around dividend changes

This paper documents significant drift in stock returns following announcements of changes in cash dividends. The magnitude is (i) smaller for increases than for decreases, (ii) inversely related to firm size and positively to dividend yield change, and (iii) concentrated in the first quarter. Beta changes do not explain the drift and it is robust in various subperiods. Next it is shown that dividend increases are positively autocorrelated especially every fourth quarter. The prices keep reacting to future announcements as if the market ignores these autocorrelations. Dividend decreases exhibit weak autocorrelation and the returns are negative for the following three announcements.     

Insider trading and information revelation with the introduction of futures markets

We establish a theoretical model with informed trading in which both of individual stock futures and its underlying stock are traded in the market. With the introduction of the futures, the paper shows that an informed trader's position of futures usually motivates him or her to trade more aggressively in the stock market at the expiration day. This also worsens the adverse selection problem and makes the stock market become less liquid. Moreover, the increase of the informed trading accelerates the information revelation and improves market efficiency on the expiration date. Finally, our results suggest that price manipulation could be one factor that affects the market liquidity and market efficiency when the futures are introduced into the market.     

Noise trading, transaction costs, and the relationship of stock returns and trading volume

This article constructs an economic model of a rational trader who operates in a market with transaction costs and noise trading. The level of trading affects the rational trader's marginal cost of transacting; as a result, trading volume (through its effect on marginal cost) is a source of risk. This engenders an equilibrium relationship between returns and volume. The model also provides a simple way to scrutinize this relationship empirically. Empirical evidence supports the implications of the model.     

The predictability of aggregate Japanese stock returns: Implications of dividend yield

This paper explores the implications of a dividend yield model for predicting aggregate Japanese stock returns using long time-series data from 1949 to 2009. In addition to one-period return tests, we conduct statistical tests based on dividend growth forecasts and long-horizon return forecasts implied by one-year regressions to provide significant evidence for the predictability of aggregate Japanese stock returns. Our findings therefore strengthen the international evidence for the role of dividend yield in predicting returns. However, we find that direct long-horizon regressions are not a powerful way of testing the null hypothesis of no return predictability. Moreover, we find that current cash flow is a more important driving force than future cash flow in the stock market fluctuations, although the dominant force is attributed to expected future returns.     

Expected returns and expected dividend growth: time to rethink an established empirical literature

This article examines various state-space and VAR model specifications to investigate the contributions of expected returns and expected dividend growth to movements in the price-dividend ratio. We show that both models involve serious inference problems that need to be dealt with carefully. We propose procedures that offer more reliable inference results, and the corrected inferences indicate that the aggregate data of dividends and returns alone do not provide strong enough evidence to support the notion that the expected returns dominate the stock price variation. However, we show that an alternative measure of cash flows termed the net payout by Larrain and Yogo (2008) appears to lend strong support to the notion that the expected cash flow explains a large fraction of the firm value variation. This finding remains robust in both state-space and VAR decompositions with the corrected inference.     

An information theoretic analysis of stock returns,volatility and trading volumes

Information theory is used to examine the dynamic relationships between stock returns, volatility and trading volumes for S&P500 stocks. This provides an alternative approach to traditional Granger causality tests when dealing with nonlinear relationships. The article highlights the dominant role played by trading volumes in all of these relationships – even in the return–volatility relation – and finds evidence of a market level feedback effect from index returns to the return–volatility relation at the stock level. The article also produces a number of stylized facts from an information theoretic perspective.     

Real and financial effects of insider trading with correlated signals

Summary. In this paper we study the real and financial effects of insider trading in a Static, Kyle-type model. In our model the insider is also the manager of the firm. Hence the insider chooses both the amount of the real output to be produced and the amount of the stock of the firm to trade. The aim of the paper is to study the relationship between financial decisions and real decisions. In particular, we examine how insider trading on the stock market affects the real output and price and how the real decision making affects the financial variables, such as the extent of insider trading, stock prices, and the stock pricing rule of the market maker. In the model, the market maker observes two correlated signals: the total order flow and the market price of the real good. We study the informativeness of the stock price and the effects on insider's profits. We also construct a compensation scheme that aligns the interests of the insider and the firm. Finally, we generalize the pricing rule set up by a competitive market maker and analyze the comparative statics of the model. Received: October 3, 1999: revised version: December 1, 1999     

On the relationship between energy returns and trading volume: a multifractal analysis

Forecasting and modelling commodities price movements and the activity of energy markets are of real interest to investors and policymakers, especially during turbulent times. This study investigates the volume–returns relationship for two major energy markets (oil and gas) during the recent global financial crisis. Unlike previous studies, we examine this relationship by applying an original fractal approach to intraday data, which has the advantage of accounting for further non-normality, nonstationarity, and fat-tailedness properties. Our study provides two interesting findings. First, we find a significant multifractal relationship between returns and volume in both markets and across all timescales, suggesting nonlinearity in the cross-correlation between returns and volume and rejecting the efficiency assumption. Second, the measure of multifractality in this relationship shows that the magnitude of the fluctuations during bearish and bullish trends affects the volume–return relationship differently, and that the oil market exhibits higher volatility than does the gas market.     

Momentum and reversals in Taiwan index futures returns during periods of extreme trading imbalance

The study analyzes the relation between a trading imbalance metric that captures data observable by investors, and future momentum and reversals in Taiwan index futures returns. Standard regression analyses do not show any significant dynamic relations between daily index futures returns and the trading imbalance, regardless of whether the trading imbalance metric is lagged, contemporaneous, or leads the index futures return. However, when the analyses are focused on periods with extreme trading imbalances I find that the daily index futures returns exhibit significant reversals following periods of extreme (low) trading imbalances and low returns. I also find some evidence of residual momentum in consecutive daily index futures returns following periods of extreme (high) trading imbalances and high returns. Trading simulation, directional accuracy, and market timing tests show these effects to be economically significant, even after accounting for transaction costs.     

Relationship between the trading behavior of three institutional investors and Taiwan Stock Index futures returns

The relations between institutional investors' behavior and futures returns are examined in this study. Evidence suggests that net trading volume by foreign investors and investment trust have forecasting power for futures returns. In addition, the study applies a time-varying parameter vector autoregressive (TVP-VAR) approach to estimate the relative effects of trading behavior by institutional investors on futures returns over time. The impact of open interest by three institutional investors is decreasing over the recent years. This implies that the value for open interest information from three major institutional investors is gradually declining in Taiwan.     

The anatomy of returns from moving average trading rules in the Russian stock market

This paper examines the profitability of index trading strategies that are based on dual moving average crossover (DMAC) rules in the Russian stock market over the 2003–2012 period. It contributes to the existing technical analysis (TA) literature by comparing for the first time in emerging markets the relative performance of individual stocks’ trading portfolios with that of trading strategies for the index that consists of the same stocks (i.e., the most liquid stocks of the Moscow Exchange). The results show that the best trading strategies of the in-sample period can outperform buy-and-hold strategy during the subsequent out-of-sample period, although with low statistical significance. In addition, we document the benefits of using DMAC combinations that are much longer than those employed in previous TA literature. Moreover, the decomposition of the full-sample-period performance into separate bull- and bear-period performances shows that the outperformance of the best past index trading strategies over is mostly attributable to the fact that they managed to stay mostly out of the stock market during a dramatic crash caused by the global financial crisis.     

Achieving the triple dividend in Portugal: a dynamic general-equilibrium evaluation of a carbon tax indexed to emissions trading

Using a dynamic general equilibrium model, we simulate the environmental, economic, and budgetary effects in Portugal of a new carbon tax indexed to the carbon price in the European Union’s Emissions Trading System market. Through careful recycling of the carbon tax revenues to finance lower personal income taxes, lower Social Security contributions, and higher investment tax credits – in particular when changes are directed at promoting energy efficiency – we show that it is possible to design a carbon tax reform that boosts economic growth and strengthens fiscal consolidation. These results served as the basis for a new carbon tax eventually approved by the Portuguese Parliament.     

The impact of trading volume,number of trades and overnight returns on forecasting the daily realized range

Intraday data of 26 German stocks are used to investigate whether the information contained in trading volume and number of trades as well as in various specifications of overnight returns can improve one-step-ahead volatility forecasts. For this purpose, a HAR model of the realized range adjusted for discrete trading is augmented by each of these variables and compared with the model's default form. The results show that the considered liquidity measures lead to very modest improvements in forecasting performance. The overnight returns exhibit some in-sample forecasting power. However, the accuracy improvement of out-of-sample forecasts is unequivocally non-significant.     

The impact of information signals on market prices when agents have non-linear trading rules

Several methods have been developed for filtering seasonal influences and extreme returns in financial and economic time series. The theoretical support for these approaches is rather questionable since it focuses on the effects of shocks on prices and not on their sources. Removing such effects modifies the true generating system of market dynamics because of the non-proportional character of non-linearity. Thus, taking into account that the underlying process of economic time series is highly non-linear we cannot be certain a priori what the impact of new information will be on the dynamic structure of a system. The main contribution of this paper is to demonstrate using the methodology of simulations the eventual distortions in time series data arising from the arrival of news when agents follow non-linear trading strategies. We argue that if news can really modify the dynamical behaviour of a system, then the methodology of filtering exogenous distortions needs to be re-examined.