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 returns and dividend signals

The literature shows that insider trading activities and dividends contain information content and serve as signals to firm value. If insider return is a proxy for information asymmetry, we should expect a positive relation between dividends and insider returns. Using a sample of unambiguous (good and bad) news concerning earnings and dividend announcements from Hong Kong firms, we show that information asymmetry is stronger for bad news firms with insider sales than good news firms with insider purchases. In addition, we improve the methodology of Khang and King [Khang, K., & King, T. H. D. (2006). Does dividend policy relate to cross-sectional variation in information asymmetry? Evidence from returns to insider trades. Financial Management, 35, 71–94] and provide evidence that dividend is a credible signal for measuring information asymmetry.     

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.     

Housing prices,stock prices and the US economy

This paper studies the relationship between housing prices, stock prices, interest rates and aggregate output in the US using monthly data from 1993 to 2014. Evidence from causality tests and a variance decomposition procedure suggest that stock prices have a much larger effect on aggregate output in the US economy than do either housing prices or interest rates. Instead, the wealth effect created by changes in stock prices has a relatively large impact on US aggregate output. Separate estimations and variance decompositions for the sample periods 1993–2001, 2002–2008 and 2009–2014 show that the impact of housing prices relative to stock prices has been waning over time.     

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.     

Monetary announcements and stock prices in Israel

Responses of stock prices to monetary announcements in Israel are examined. Only the unexpected part of monetary injection announcements are found to have a significant impact on stock prices. Unlike findings for the U.S., this impact is positive.     

Oil prices and UK industry-level stock returns

In this article, we study whether the behaviour of oil prices can be used as a reliable predictor for the disaggregated industry-level stock market indices. We find strong evidence for the relevance of changes in oil price as a predictor for the returns of UK industry portfolios, while this relevance is heterogeneous across industries. In an out-of-sample framework, we find that both the contemporaneous and lagged oil price changes do predict UK industry stock market returns. The predictive power is more transient for the latter case, and mostly appearing after allowing for time variation in the relative performance. In addition, we find some evidence of asymmetry in the oil–stock price relationships.     

Daily market news sentiment and stock prices

In recent years there has been a tremendous growth in readily available news related to traded assets in international financial markets. This financial news is now available through real-time online sources such as Internet news and social media sources. The increase in the availability of financial news and investor’s ease of access to it has a potentially significant impact on market stock price movement as these news items are swiftly transformed into investors sentiment which in turn drives prices. In this study, we use the Thomson Reuters News Analytics (TRNA) data set to construct a series of daily sentiment scores for Dow Jones Industrial Average (DJIA) stock index constituents. We use these daily DJIA market sentiment scores to study the influence of financial news sentiment scores on the stock returns of these constituents using a multi-factor model. We augment the Fama–French three-factor model with the day’s sentiment score along with lagged scores to evaluate the additional effects of financial news sentiment on stock prices in the context of this model using Ordinary Least Square (OLS) and Quantile Regression (QR) to analyse the effect around the tail of the return distribution. We also conduct the analysis using the seven-day simple moving average (SMA) of the scores to account for news released on non-trading days. Our results suggest that even when market factors are taken into account, sentiment scores have a significant effect on Dow Jones constituent returns and that lagged daily sentiment scores are often significant, suggesting that information compounded in these scores is not immediately reflected in security prices and related return series. The results also indicate that the SMA measure does not have a significant effect on the returns. The analysis using Quantile Regression provides evidence that the news has more impact on left tail compared to the right tail of the returns.     

Natural gas prices and stock prices: Evidence from EU-15 countries

This study investigates the long-run relationship between natural gas prices and stock prices by using the Johansen and Juselius cointegration test and error–correction based Granger causality models for the EU-15 countries. We employ quarterly data covering the period from 1990:1 to 2008:1. Empirical findings suggest that there is a unique long-term equilibrium relationship between natural gas prices, industrial production and stock prices in Austria, Denmark, Finland, Germany and Luxembourg. However, no relationship is found between these variables in the other ten EU-15 countries. Although we detect a significant long-run relationship between stock prices and natural gas prices, Granger causality test results imply an indirect Granger causal relationship between these two variables. In addition, we investigate the Granger causal relationship between stock returns, industrial production growth and natural gas price increase for Austria, Denmark, Finland, Germany and Luxembourg. As a result, increase in natural gas prices seem to impact industrial production growth at the first place. In turn, industrial production growth appears to affect stock returns.     

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.     

The cross-section and time-series effects of individual stock sentiment on stock prices

In this article, we construct an individual stock sentiment index by using the principal component analysis method. We empirically study the cross-section and time-series effects of investor sentiment on the stock prices based on the panel data model with dummy variable. The results indicate that individual stock sentiment has greater impact on small-firm stock prices than big-firm stock prices, which presents obvious cross-section effect. Moreover, individual stock sentiment leads to much sharper ?uctuations of stock prices in the stock market downturn than in the stock market expansion, which shows obvious time-series effect. Specifically, the individual stock sentiment has the greatest impact on small-firm stock prices under the stock market downturn, exerting significant dual asymmetric effect. Our results are helpful to understanding the micro-mechanism of sentiment effect.     

Exchange market pressure,stock prices,and commodity prices in West Africa

As Africa continues its decade of rapid economic growth, the continent also faces the risk of becoming more susceptible to financial ‘contagion.’ Capital flows and trade linkages might cause one country’s currency market to influence those of its neighbors. Likewise, shocks to global commodity or asset markets might induce a crisis in one or more countries in the region. This study generates monthly measures of exchange market pressure (EMP) for four individual West African countries, as well as for the WAEMU franc zone, from 2002 to 2012. Vector Autoregressive (VAR) methods are then used to test for linkages among them, as well as to analyze the effects of various external price shocks. A number of spillovers are uncovered. More importantly, local connections dominate global ones in the case of stock- and commodity-price declines. Ghana, for example, is shown to be a ‘commodity currency’ when West African commodity prices are included in the VAR, but not when a global index is used.     

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 behaviour of Hong Kong stock prices

The primary function of a stock market is to allocate resources to the most profitable investment opportunities. If stock prices provide accurate signals for resource allocation, firms are able to make correct production–investment decisions, and investors are able to choose the most suitable stocks for investment. These choices are only possible if the market is efficient, that is, if stock prices ‘fully reflect’ all available information.

Hong Kong is now an international financial centre. Although Hong Kong's stock market is ranked as one of the five largest in the world in terms of turnover, little research has been devoted to the behaviour of its stock prices. This is a study of the efficiency of Hong Kong's stock market. It is based upon two widely accepted statistical tests, namely, serial correlation analysis and runs tests. Data used cover the daily prices of 28 major Hong Kong stocks over a period of four years from 1977 to 1980. The evidence is mixed; it does not provide clear support for the efficient market hypothesis.     

A test for rational bubbles in stock prices

This paper presents two necessary conditions for the absence of rational bubbles on the assumption that the discount rate is stationary. One condition is that real stock prices and real dividends are cointegrated with the time-varying cointegrating vector. The other is that the order of integration of real stock prices is equal to that of real dividends. The first condition is different from that proposed on the assumption of a constant discount rate. In contrast, the second condition is the same as that presented on this assumption. Examining the second condition using Japanese data, we find that Japanese stock prices and dividends satisfy the necessary condition. First version received: May 2000/Final version accepted: April 2001