Stock exchange mergers and weak form of market efficiency: The case of Euronext Lisbon

This exploratory paper is among the first to examine the impact of stock exchange mergers on informational market efficiency. We focus on the merger of Bolsa de Valores de Lisboa e Porto (Portuguese Stock Exchange) with Euronext in 2002 (that created Euronext Lisbon). To investigate this question we perform numerous statistical tests: serial correlation test (ACF test), runs test, unit root test (Kwiatkowski, Philips, Schmidt, & Shin, 1992), multiple variance ratio test (Chow & Denning, 1993) and ranks and signs test (Wright, 2000).The results indicate that the Portuguese Equity Market is inefficient in weak form during pre-merger period implying that investors possessed an opportunity to earn abnormal returns though small in magnitude. The results, sensitive to the methodology used, indicate a mixed evidence of improvement in market efficiency during the post-merger period. Although the findings are mixed, yet most tests show a tendency of improved efficiency.     

Stock exchange mergers and return co-movement: A flexible dynamic component correlations model

The creation of a common cross-border stock trading platform is found, by use of a Flexible Dynamic Component Correlations (FDCC) model, to have increased long-run trends in conditional correlations between foreign and domestic stock market returns.     

Who poisons the pool? Time-varying asymmetric and nonlinear causal inference between low-risk and high-risk bonds markets

Corporate bond markets enable the efficient allocation of capital among competing firms, as well as an extensive degree of disintermediation. While the role of the junk bond market in financing leveraged buyouts, “fallen angels,” start-ups, small firms, and sovereign governments is known, little is known about interactions between low-risk (AAA) bonds markets and high-risk (CCC and below) bonds markets. In this study, we used a sample of daily data spanning 20 years to investigate the dynamic link in first and second moments between low-risk and high-risk bonds during calm and turbulent periods in the U.S. financial markets. Using asymmetric and nonlinear causality tests, as well as the extended DCC-GJR-GARCH model, we found evidence of an asymmetric and nonlinear unidirectional causal link from high-risk to low-risk bonds markets, which intensifies during bear markets. There is a bidirectional volatility and shock transmission only during normal bond market conditions. The high-risk bonds market induces more destabilizing effects in the corporate bond market than the low-risk bonds market. The time-varying, highly persistent, and negative correlation during normal market conditions provides the opportunity for combining low-risk and high-risk bonds to diversify a portfolio.     

Momentum in global equity markets in times of troubles: Does the economic state matter?

This paper investigates the profitability of momentum-based trading strategies pursued during the most recent economic downturns in global equity markets. In contrast to previous studies, it reveals that such strategies generated statistically significant negative returns during the most recent recessions. These “momentum crashes” happen during market reversals following exceptionally large market declines, as occurred in March and April 2009.     

Psychological determinants of occurrence and magnitude of market crashes

We simulate the Dynamic Stochastic General Equilibrium model of Mehra-Prescott [14] to establish the link between the anticipation of endowment drops (for instance a recession) and sudden market crashes. Contrary to the commonly accepted view that those crashes are solely driven by large drops in endowments at the time they occur, the simulation shows that: 1—a large and subjective anticipation of an endowment drop amplifies the magnitude of the crash next period without permanent effects, and 2—there always exists an upper-bound on the maximal anticipation of the drop so that the crash magnitude next period remains constant regardless of the drop level. Those findings are independent of the risk aversion of agents, and of the formation process of the anticipation.     

THE ABSENCE OF THE BOOK‐TO‐MARKET EFFECT IN THE TAIWAN STOCK MARKET: A DECOMPOSITION APPROACH

This paper examines the absence of the book‐to‐market equity (BM) effect in the Taiwan stock market, applying the BM decomposition proposed by Daniel and Titman (2006 ). First, we do not observe a significantly negative correlation between future stock return and intangible return on research‐and‐development‐intensive firms in Taiwan, which is inconsistent with the US evidence documented by Daniel and Titman. Second, undervaluation of research‐and‐development‐intensive firms possibly leads to the absence of the BM effect. Those firms, most of which have low BM, perform well not only in the past, but also in the future, thereby obscuring the BM effect.     

Why don’t you trade only four days a year? An empirical study into the abnormal returns of quarters first trading day

In this research I examined a calendar anomaly that occurs at the beginning of each quarter. Through an examination of 34 years of daily and annual returns for the S&P500 and 13 years of returns for popular ETFs, I have demonstrated the existence of the First Day of Quarter (FDQ) effect. By trading only four days a year from the beginning of 2000 until the end of 2013, an investor could have gained 113.1% of the S&P500 returns for that period, while being exposed to stock risk for only 56 days. Moreover, for 11 of those 14 years of trading, the FDQ was responsible for more than 10% of the annual returns. Only for two years since 2000 (2001, 2005) has the FDQ yielded a negative return. The biggest beneficiary of the FDQ is the financial sector, which for the last 13 years of investing has been non-fertile, showing −6.12% total return. Investing only at the beginning of each quarter for a total of 52 days would have yielded a return of 40.17%. The next beneficiary of the FDQ is the technological sector. The 82.5% of total return gained in this sector over the last 13 years could have been gained in only 52 days of trading.     

The Effect of Annual Earnings Announcements on the Chinese Stock Markets

This paper examines the annual earnings announcement effect of the stock markets in China. The investigation is based on events analysis and carried out by modeling the daily changes of stock returns using the M-EGARCH approach, by testing the news effects of annual earnings announcement on the conditional mean of abnormal return and the variance of the returns. It is found that a higher than expected earnings announcement leads to a rise in the conditional mean of stock returns on days before the news announcement and a fall afterwards. The conditional volatility of the changes are significantly reduced by bigger absolute values of reported earnings before the news announcement and increased afterwards, supporting the rejection of semi-strong-form efficiency.     

State-price densities under heterogeneous beliefs, the smile effect, and implied risk aversion

It has been widely noted in the empirical literature that state-price densities implicit in financial asset prices are not log-normal. This paper shows that this phenomenon can be caused by heterogeneity in investors’ beliefs. It derives the state-price density under heterogeneous beliefs in closed form and demonstrates that heterogeneous beliefs can give rise to multimodal state-price densities. Consequences for the “smile effect” in implied option volatility and for measures of risk aversion inferred from empirical state-price densities are discussed.     

HOW FAST DO TOKYO AND NEW YORK STOCK EXCHANGES RESPOND TO EACH OTHER? AN ANALYSIS WITH HIGH‐FREQUENCY DATA

This paper uses one‐min returns on the TOPIX and S&P500 to examine the efficiency of the Tokyo and New York Stock Exchanges. Our major finding is that Tokyo completes reactions to New York within six min, but New York reacts within fourteen min. Dividing the sample period into three subperiods, we found that the response time has shortened and the magnitude of reaction has become larger over the period in both markets. The magnitude of response in New York to a fall in Tokyo is roughly double that of a rise.     

Price manipulation in an experimental asset market

We analyze in the laboratory whether an uninformed trader is able to manipulate the price of a financial asset by comparing the results of two experimental treatments. In the benchmark treatment, 12 subjects trade a common value asset that takes either a high or a low value. Only three subjects know the actual value of the asset while the market is open for trading. The manipulation treatment is identical to the benchmark treatment apart from the fact that we introduce a computer program as an additional uninformed trader. This robot buys a fixed number of shares in the beginning of a trading period and sells them again afterwards. Our main result shows that the last contract price is significantly higher in the manipulation treatment if the asset takes a low value and that private information is very well disseminated by both markets if the value of the asset is high. Finally, even though this simple manipulation program loses money on average, it is profitable in some instances.     

Institutional development and stock price synchronicity: Evidence from China

Better developed legal and political institutions result in greater availability of reliable firm-specific information. When stock prices reflect more firm-specific information there will be less stock price synchronicity. This paper traces the experience of China, an economy undergoing dramatic institutional change in the last 20 years with rich variation in experiences across provinces. We show that stock price synchronicity is lower when there is institutional development in terms of property rights protection and rule of law. Furthermore, we investigate the influence of political pluralism on synchronicity. A more pluralistic regime reduces uncertainty and opaqueness regarding government interventions and therefore increases the value of firm-specific information that reduces synchronicity.     

Oil price shocks and stock market activities: Evidence from oil-importing and oil-exporting countries

While the relationship between oil prices and stock markets is of great interest to economists, previous studies do not differentiate oil-exporting countries from oil-importing countries when they investigate the effects of oil price shocks on stock market returns. In this paper, we address this limitation using a structural VAR analysis. Our main findings can be summarized as follows: First, the magnitude, duration, and even direction of response by stock market in a country to oil price shocks highly depend on whether the country is a net importer or exporter in the world oil market, and whether changes in oil price are driven by supply or aggregate demand. Second, the relative contribution of each type of oil price shocks depends on the level of importance of oil to national economy, as well as the net position in oil market and the driving forces of oil price changes. Third, the effects of aggregate demand uncertainty on stock markets in oil-exporting countries are much stronger and more persistent than in oil-importing countries. Finally, positive aggregate and precautionary demand shocks are shown to result in a higher degree of co-movement among the stock markets in oil-exporting countries, but not among those in oil-importing countries.