An analysis of trading strategies in eleven European stock markets

Abstract

In recent years, the validity of the weak form efficient market hypothesis (EMH) has been called into question as several studies have uncovered evidence that technical trading rules have predictive ability with respect to both developed and emerging stock market indices. This study analyses the forecasting power of 2 of the most popular trading rules using index data for a selection of 11 European stock markets over the January 1991 to December 2000 period. The findings indicate that the emerging markets included in this paper are informationally inefficient; these markets displayed some degree of predictability in their share returns, although the developed markets did not. Furthermore, the results point to large differences in the performance of the rules examined; while small size filters consistently outperformed the buy-and-hold strategy in the emerging markets examined even after the consideration of transaction costs, the performance of the moving average rules was erratic and varied dramatically from market to market.     

Do foreign investors improve stock price informativeness in emerging equity markets? Evidence from Vietnam

Most of previous studies on stock price informativeness tend to focus on the context of mature stock markets while this issue is more acute in emerging equity markets where regulatory and institutional structure are weak. This paper examines the relationship between foreign ownership and stock price informativeness in Vietnam stock market. We utilize a data set covering firm attributes of non-financial firms listed on the Ho Chi Minh City stock exchange over the period 2007–2015. Employing different estimation techniques for panel data, the empirical results indicate that foreign investors improve stock price informativeness in Vietnam stock market. The finding from this paper confirms the important role of foreign investors in emerging equity markets.     

International Stock Market Efficiency and Integration: A Study of Eighteen Nations

This study examines the relationships among stock prices in eighteen national stock markets by using unit root and cointegration tests for the period 1961--92. All the markets were analyzed individually and collectively in regions to test for market efficiency. The results from unit root tests suggest that the world equity markets are weak-form efficient. The cointegration test results show that there are only a small number of significant cointegrating vectors over the last three decades. However, the number of significant cointegrating vectors increases after the October 1987 stock market crash, a result that is consistent with the contagion effect.     

Do Islamic stock indices perform better than conventional counterparts? An empirical investigation of sectoral efficiency

Literature is rife with studies on efficiency of stock markets and financial performance aspects. One such aspect is the measurement of sectoral efficiency amongst stock markets. While there are several studies analysing sectorial efficiency, there is no study on the efficiency of Islamic sector indexes. The rise of Islamic indices has raised the question and multiple studies have been undertaken in exploring and validating the better performance from a risk return framework for the Islamic indices. This study attempts to pioneer in this niche area by conducting a comparative analysis of 10 sectoral global indices for both conventional and Islamic counterpart spanning over 18 years. The sample time period runs from 1 January 1996 until 31 December 2014. To further validate our study, we have divided our data into four major time periods, to factor in different phases the world markets have gone through in the sample period, i.e. 1996–2000; 2001–2002; 2003–2006 and 2006 to 2014. The methodology selected in understanding the efficiency of these sectoral stock indices is the multifractal de-trended fluctuation analysis (MFDFA). Our analysis reveals that in the shorter horizon, efficiency tends to follow a similar pattern amongst the conventional and Islamic counterpart. Furthermore, Islamic sectoral indices generally tend to exhibit a higher efficiency regime across the last decade. Overall, Islamic index seems to have stayed attractive and resilient, allowing conformity with the weak form efficient market hypothesis.     

Intraday Seasonalities and Macroeconomic News Announcements

Using a data set consisting of more than five years of 5‐minute intraday stock index returns for major European stock indices and US macroeconomic surprises, conditional means and volatility behaviour in European markets were investigated. The findings suggest that the opening of the US stock market significantly raises the level of volatility in Europe, all markets responding in an identical fashion. Furthermore, US macroeconomic surprises exert an immediate and major impact on both the European stock markets’ intraday returns and volatilities. Thus, high frequency data appear to be critical for the identification of news impacting the markets.     

Stock market recovery from the 2008 financial crisis: The differences across Europe

This study investigates the influence of the 2008 financial crisis on a number of European stock markets. The sample includes EU benchmark indices as well as European markets with slowed or hampered recovery over a period of ten years (2004–2014) thus allowing a comparison on their development before, during and after the crisis. We utilize a novel approach based on a combination of stochastic modeling and continuous wavelet transform. It enables a robust distinction between expected and unexpected spillover effects as well as assessment of the expected speed of European stock markets recovery. It further quantifies the temporal boundaries of absorption of negative and positive shocks coming from the US stock market and explains the observed asymmetry. The studied European markets are divided into several groups and expectations are built on the speed of their recovery. We find that the major reasons for the discrepancies observed between actual and expected recovery for some of the markets are due to structural breaks in the co-movement with US market as well as to weak domestic fundamentals.     

DOES THE OCTOBER 1987 CRASH STRENGTHEN THE CO-MOVEMENTS AMONG NATIONAL STOCK MARKETS?

This study examines the effect of the October 1987 crash on the co-movements among national stock markets. Interrelationships among the price movements in different national stock markets are analyzed using correlation and exploratory factor analysis. The data on weekly returns of 12 national stock market indices over the period from August 1984 to December 1990 are used in both local-currency and U.S. dollar terms for the analysis. This study finds that national stock markets became more interrelated after the crash, and the strengthening co-movements among national stock markets continued for a longer period after the crash. In addition, it is shown that the co-movements among national stock markets were stronger when the U. S. stock market was more volatile. These results imply that after investors experienced the October crash, they tend to give more weight to international factors in making investment decisions after the crash than before.     

An investigation of the stability of returns in Western European equity markets

This paper investigates the temporal stability of various dimensions of the returns of 16 European stock markets that are relevant to an analysis of international portfolio diversification. The basic data consist of daily stock market price indices for these markets. This group of indices comprehends a wide range of stock markets differentiated by size, age and technological sophistication, but in each case located in Western Europe. Two main tests were conducted: (a) ANOVA to identify inter-temporal variability and inter-market variability over 24 three-month sub-periods from January 1989 to December 1994, and (b) cluster analysis to identify groups of markets that exhibit similar behaviour patterns. The findings suggest that, while the potential gains from an internationally diversified portfolio restricted to the equities of Western European markets appear to be substantial, the lack of inter-temporal stability in the composition of the optimal portfolio from one period to another makes these gains difficult to achieve in practice.     

Deterministic nonlinearity in the stock returns of major European equity markets and the United States

By using recently developed statistical tools designed to overcome some of the limitations often associated with financial data, this study attempts to detect low-dimensional deterministic chaos in five major European stock markets and the United States. Country indexes exhibiting low-dimensional deterministic chaos may contain some informational inefficiency; thus, it may be possible to use nonlinear dynamics to predict future stock returns. The results do not provide evidence of the existence of low-dimensional chaotic systems in any of the examined indexes. As such, the notion of market efficiency in the examined indexes is not threatened by the findings of this study.     

On the asymmetric relationship between stock market development,energy efficiency and environmental quality: A nonlinear analysis

It has been widely documented in the literature that financial development drives up the impact of CO₂ emissions through increases in real economic activities and the consumption of polluting fossil fuel energy. However, when dealing with stock market development, such upward effects on economic growth, energy efficiency, and carbon emissions seems to give away to a positive impact especially in emerging markets. This paper contributes to this debate by exploring both the symmetric and asymmetric responses of CO₂ emission to changes in stock market development indicators. Using both the panel linear and nonlinear ARDL, our results demonstrate the asymmetric effects of stock market development indicator son carbon emissions in the context of emerging markets. In particular, the long-run elasticities results suggest that positive and negative shocks on stock market indicator decreases environmental quality by increasing carbon emissions. Based on these empirical findings, this study offers some crucial policy implications. Especially, policy makers should implement strong environmental policies in emerging markets economies to reduce carbon emissions of industrial companies without significantly affecting the development of financial markets.     

Impact of COVID-19 on stock market efficiency: Evidence from developed countries

This study investigates the impact of the novel coronavirus (COVID-19) pandemic on stock market efficiency for six hard-hit developed countries, namely, the United States (US), Spain, the United Kingdom (UK), Italy, France, and Germany. Applying the wild bootstrap automatic variance ratio test on daily stock market data from July 29, 2019 to January 25, 2021, it is found that all stock markets used in this study deviate from market efficiency during some periods of the pandemic. Deviations from market efficiency are seen more in the stock markets of the US and UK during the COVID-19 outbreak than in other stock markets. These results are strengthened when a different econometric method, the automatic portmanteau test, is used. The findings of this study indicate an increasing chance for stock price predictions and abnormal returns during the COVID-19 pandemic.     

Are stock markets really efficient? Evidence of the adaptive market hypothesis

This study examines the adaptive market hypothesis in the S&P500, FTSE100, NIKKEI225 and EURO STOXX 50 by testing for stock return predictability using daily data from January 1990 to May 2014. We apply three bootstrapped versions of the variance ratio test to the raw stock returns and also whiten the returns through an AR-GARCH process to study the nonlinear predictability after accounting for conditional heteroscedasticity through the BDS test. We evaluate the time-varying return predictability by applying these tests to fixed-length moving subsample windows and also examine whether there is a relationship between the level of predictability in stock returns and market conditions. The results show that there are periods of statistically significant return predictability, but also episodes of no statistically significant predictability in stock returns. We also find that certain market conditions are statistically significantly related to predictability in certain markets but each market interacts differently with the different market conditions. Therefore our findings suggest that return predictability in stock markets does vary over time in a manner consistent with the adaptive market hypothesis and that each market adapts differently to certain market conditions. Consequently our findings suggest that investors should view each market independently since different markets experience contrasting levels of predictability, which are related to market conditions.     

The informational efficiency and the financial crashes

The evolution of the daily informational efficiency is measured for different stock market indices (Japanese, Malaysian, Russian, Mexican, and the US markets) by using the local entropy and the symbolic time series analysis. There is some evidence that for different stock markets, the probability of having a crash increases as the informational efficiency decreases. Further results suggest that the latter probability also increases for jumping to a less efficient market. In addition, the US stock market seems to be the most structurally efficient and the Russian is the most inefficient, maybe because is a young market, recently established in 1995.     

A multilateral approach to examining the comovements among major world equity markets

This study investigates the comovement in stock indices among major developed markets, where Morgan Stanley Capital International (MSCI) indices are employed for the purposes of the study. We employ a model that accommodates multilateral international impacts on equity index movements. The empirical results reveal the existence of significant international transmission effects among these major world markets, both in terms of returns and volatility, and mostly in a positive direction. The U.S. market, as expected, is the leading market in the sense that it has the most pervasive and significant impact on all markets across continents. However, the U.S. market exhibits a different relationship with European markets from that with Asia-Pacific markets. The evidence also suggests that strong regional transmission effects exist. A further investigation using the extended model reveals that the linkages between U.S. and European markets are driven by positive global common forces and by negative international competitive effects. On the other hand, the U.S. and Asian markets are linked through positive global common forces and positive international contagion effects. The United States, Canada, and the U.K. are the three markets that still demonstrate contagion influence over countries outside its own region. The Asia-Pacific markets are more susceptible to contagion effects. Finally, it is interesting to find that Japanese market performance became more contagious toward other markets during the Asian financial crisis period.     

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.     

An Empirical Analysis of Stock Prices in Major Asian Markets and the United States

This study uses unit root and cointegration tests to examine the relationships among the stock markets in Hong Kong, South Korea, Singapore, Taiwan, Japan, and the United States. All the stock prices are analyzed both individually and collectively to test for international market efficiency. Unit roots in stock prices are found. Pairwise and higher-order cointegration tests indicate that there is no evidence of cointegration among the stock prices. The findings suggest that the stock prices in major Asian markets and the United States are weak-form efficient individually and collectively in the long run. It also implies that international diversification among the markets is effective.     

Step Interventions and Market Integration: Tests in the U.S., U.K., and Australian Property Markets

Market integration implies the existence of some long-run equilibrium relationship between markets such that movements in one market are transmitted to movements in another. It is an interesting observation of much of the literature regarding a possible relationship between real estate and stock markets that there is relatively scant attention given to the possible existence of structural breaks and the impact that such breaks may have on tests for market integration. Other research has shown that failure to take into account structural breaks in various macroeconomic data series may have yielded misleading results on cointegration (in particular, unit root tests on individual series). In this article we examine the issue of whether the stock market and real estate markets are stationary or nonstationary in the presence of structural breaks. We adopt the techniques of Perron (1989), Zivot and Andrews (1992), and Perron and Vogelsang (1992). Each of these tests is based on different assumptions and therefore may yield differing results. In general, the results do not support cointegration of domestic property and equity markets or cointegration of markets internationally.     

INTERNATIONAL TRANSFER OF PRICING INFORMATION BETWEEN DUALLY LISTED STOCKS

International multiple listing offers a unique opportunity to study the efficiency of information transmission across national markets. The knowledge gained from observing a stock of the same company priced in multiple markets differs from what may be gained from observing relations across markets of aggregate price indices. We investigate five companies based in Israel whose stocks are listed on both the Tel Aviv Stock Exchange and NASDAQ. Our empirical tests of causality in price changes use the side-by-side Box-Jenkins ARIMA models and the Sims VAR model. Overall, the results show that price causality in dually listed stocks is unidirectional from the domestic market to the foreign market.     

Enhancing the efficiency of securities markets in East Asia

We explore the relative efficiency of stock markets across countries using newly available data on transactions costs and the quality of the informational environment of stock markets. These new measures are constructed from firm-level stock returns in a panel of 60 countries for the period 2000–2004. We develop a framework to understand the linkages between efficiency, liquidity, transactions costs, and informational quality and then study their determinants. We find that some institutional arrangements – such as the availability of stock lending and short selling – and the openness of markets are associated with lower transactions costs. We also find that, although disclosure rules for directors and officers of listed firms are essential, the ability of shareholders to seek redress is more conducive to a better informational environment in stock markets. This in turn serves as the basis for policy recommendations for the East Asian region. In particular, the region needs to continue to strengthen the implementation and enforcement of corporate governance, to further enhance the market and institutional infrastructure, and focus on measures to foster a larger and more diversified investor base, in order to continue to see gains in the efficiency of stock markets.     

The Causal Relationship Between Real Estate and Stock Markets

This paper examines the dynamic relationship that exists between the US real estate and S&P 500 stock markets between the years of 1972 to 1998. This is achieved by conducting both linear and nonlinear causality tests. The results from these tests provide a number of interesting observations which primarily show linear relationships to be spuriously affected by structural shifts which are inherent within the data. Linear test results generally show a uni-directional relationship to exist from the real estate market to the stock market. However, these results are not consistent with financial theory and for all sub-samples of the data. In contrast, the nonlinear causality test shows a strong unidirectional relationship running from the stock market to the real estate market, and is consistent in the presence of any structural breaks.