Integration Between the Baltic and International Stock Markets

Using cointegration tests, this paper analyzes the existence of long-run relationships among Baltic stock markets and major international stock markets, including the United States, Japan, Germany, the United Kingdom, and France. Bivariate and multivariate cointegration tests indicate a common trend linking Latvia to European markets. Evidence indicates that the German market dominates this long-run relationship. In general, short-term Granger causality indicates causality running from the European markets to the Baltic markets, as well as among the Baltic states, excepting Latvian and Lithuanian short-term effects on the Estonian market. Overall, the results suggest that international investors can obtain diversification benefits given a long-term investment horizon because of the low degree of integration between the Baltic and international capital markets.     

Price Linkages Between the US,Japan and UK Stock Markets

This study presents an empirical analysis of the short- and long-term relationships among stock prices in the US, Japan and the UK. We re-examine the evidence of market linkages and cointegration between S&P 500, Nikkei 225 and FTSE-100 stock indices. The results suggest that mature markets are cointegrated, indicating a stationary long-run relationship. Furthermore, Granger causality tests show a bi-directional causality between Nikkei 225–FTSE-100, and unidirectional causalities between S&P 500–FTSE-100 and S&P 500–Nikkei 225. These findings suggest that the potential for diversifying risk by investing in mature markets is limited.     

Does bitcoin co-move and share risk with Sukuk and world and regional Islamic stock markets? Evidence using a time-frequency approach

This paper examines the co-movements between Bitcoin (BTC) and the Dow Jones World Stock Market Index, regional Islamic stock markets, and Sukuk markets. We apply cross wavelet transform and wavelet coherence analysis with a wavelet-based measure of value at risk. The co-movement is stronger and in the same direction at lower frequencies, suggesting the benefits from diversification with BTC are relatively less for long-term investors compared to short-term investors. Co-movement in the opposite direction at high frequencies implies better benefits of hedging in the short run through diversification in BTC and Islamic equity markets. Robustness tests show that the correlations increase as we increase from an investment horizon of two days to one of 64 days. The frequency-domain causality test shows significant causality flow from BTC to the Islamic market of Asia-Pacific, Japan, and Sukuk markets in the short term. Additionally, BTC is found to lead Asia-Pacific Islamic stock markets in the long term. Finally, we note that the benefits of portfolio diversification with BTC and Islamic assets vary across time and frequencies.     

Co-movement of Asia-Pacific with European and US stock market returns: A cross-time-frequency analysis

We investigate the co-movement of 13 Asia-Pacific stock market returns with that of European and US stock market returns using the wavelet coherence method. Our results show consistent co-movement between most of the Asia-Pacific stock markets and that of Europe and the US in the long run. We also uncover evidence of a wide variation in co-movement across the time scale of the financial crises. The co-movement dynamics of the Asia-Pacific markets with that of Europe and the US are different during the two financial crises. The difference in the co-movement dynamics could be the result of the different natures of the financial crises or a change in regime.     

Enter the dragon: Interactions between Chinese,US and Asia-Pacific equity markets, 1995–2010

This paper applies a variety of short-run and long-run time series techniques to data on a broad group of Asia-Pacific stock markets and the United States extending to 2010. Our empirical work confirms the importance of crises in affecting the persistence of equity returns in the Asia-Pacific region and offers some support for contagion effects. Post-Asian financial crisis quantile regressions yield substantial evidence of long-run linkages between the Shanghai market, the US market and many regional exchanges. Cointegration is particularly prevalent at the higher end of the distribution. Our results suggest that the enormous growth of the Shanghai market in the new millennium has been accompanied by a meaningful level of integration with other regional and world markets in spite of ongoing capital controls.     

Is the UAE stock market integrated with the USA stock market? New evidence from asymmetric causality testing

The integration and development of financial markets is an important issue because it can result in economic growth via increasing exchange and more efficient allocation of scarce resources. It is also important for defining and conducting appropriate policies to counteract adverse spill-over effects across markets. The main goal of this paper is to assess the degree of integration or segmentation of the UAE stock market with the USA market by conducting new causality tests developed by Hatemi-J (forthcoming) that separate the effect of positive shocks from the negative ones. The empirical results based on standard symmetric causality tests indicate that the UAE market is segmented from the USA market. However, when the asymmetric causality tests are implemented the results reveal clearly that the UAE market is indeed integrated with the USA market. These results show, in addition, that the degree of integration is stronger when the markets are falling than rising.     

Interdependence and dynamic linkages between the emerging stock markets of South Asia

The present article examines the dynamic linkages between the stock markets of Bangladesh, India, Pakistan and Sri Lanka using a temporal Granger causality approach by binding the relationship among the stock price indices within a multivariate cointegration framework. We also examine the impulse response functions. Our main finding is that in the long run, stock prices in Bangladesh, India and Sri Lanka Granger‐cause stock prices in Pakistan. In the short run there is unidirectional Granger causality running from stock prices in Pakistan to India, stock prices in Sri Lanka to India and from stock prices in Pakistan to Sri Lanka. Bangladesh is the most exogenous of the four markets, reflecting its small size and modest market capitalization.     

A study of cointegration and variance decomposition among national equity indices before and during the period of the Asian financial crisis

This study uses a cointegration and variance decomposition analysis to examine the linkages among the stock markets of 12 Asia–Pacific countries, before and during the period of the Asian financial crisis. Johansen (1988) multivariate cointegration and error-correction tests demonstrate evidence in support of the existence of cointegration relationships among the national stock indices during, but not before, the period of financial crises. In the recent crisis, the relationship within the South-East Asian countries seems to be stronger than that within the North-East Asian countries. The variance decomposition reveals that the ‘degree of exogeneity’ for all indices has been reduced, implying that no countries are ‘exogenous’ to the financial crisis. In addition, Granger’s causality test suggests that the US market still ‘causes’ some Asian countries during the period of crisis, reflecting the US market’s persisting dominant role.     

DIVERGENT EXPECTATIONS AND THE ASIAN FINANCIAL CRISIS OF 1997

An important question concerning integration of global financial markets is whether local investors in an equity market react differently from international investors, particularly during periods of financial crisis. Considering local investors are closer to information, they might turn pessimistic before foreign investors before a crisis. We examine whether local investors in each of the six Asian stock markets—Indonesia, Korea, Malaysia, the Philippines, Taiwan, and Thailand—reacted differently from international investors during the 1997 Asian financial crisis. Our empirical results indicate that, in general, closed‐end country fund share prices (mainly driven by foreign investors) Granger‐cause the respective net asset values (NAVs, mainly driven by local investors). Moreover, this one‐way Granger‐causality effect from share prices to NAVs becomes much stronger during the crisis period after controlling for U.S. stock returns. Our results suggest international investors turned pessimistic before local investors. JEL classification: G15     

Causality and cointegration of stock markets among the United States,Japan and the South China Growth Triangle

This paper explores the causality and cointegration relationships among the stock markets of the United States, Japan and the South China Growth Triangle (SCGT) region. Applying the recently advanced unit root and cointegration techniques that allow for structural breaks over the sample period (October 2, 1992 to June 30, 1997), we find that there exists no cointegration among these markets except for that between Shanghai and Shenzhen. By invoking the Granger causality test and considering the non-synchronous trading problem, we will show that stock price changes in the US have more impact on SCGT markets than do those of Japan. More specifically, price changes in the US can be used to predict those of the Hong Kong and Taiwan markets on next day. Similarly, price changes on the Hong Kong stock market lead the Taiwan market by 1 day. Furthermore, the stock returns of the US and Hong Kong markets are found to be contemporaneous. Finally, there is a significant feedback relationship between the Shanghai and the Shenzhen Stock Exchanges.     

Regional Housing Prices in the USA: An Empirical Investigation of Nonlinearity

Existing literature on housing prices is predominantly in a linear framework, and an important question that has not been addressed is whether housing prices exhibit nonlinearity. We examine Smooth Transition Autoregressive (STAR) model based nonlinear properties of housing prices over the 1969–2004 period for the entire US and the four regions. Our main findings are (1) housing price for the entire US and all regions except for the Midwest show non-linearity, (2) the dynamic properties implied by the nonlinear estimation explain the typical patterns that have characterized each housing market, and (3) results of Granger causality tests look more plausible in the nonlinear framework where we find stronger evidence of Granger causality from housing price to employment and also from mortgage rates to housing price.

Empirical evidence of the existence of speculative bubbles in the prices of stocks traded on the São Paulo Stock Exchange

Speculative price bubbles are defined as a significant deviation between an asset's intrinsic value and its market value and in this paper it refers to stock values. Literature about the theme has noted the existence of bubbles in various types of markets and their respective assets. A great deal of effort has been directed toward identifying bubbles in stock price indices. However, few research endeavors focus on assets as the unit of analysis. Studies about stocks in Brazil have identified the presence of bubbles in IBOVESPA (São Paulo Stock Exchange Index). Given this context and assuming that the speculative bubbles are present in the Brazilian stock market, this research is focused on the following question: Is there evidence of the existence of speculative bubbles in stock prices traded on the São Paulo Stock Exchange? Econometric tests were performed on twenty-seven stocks, based upon their positions each semester, for the period between the first semesters of 1990 until the first semester of 2010. The nominal values of the selected stocks were adjusted for inflation by the IPCA (Brazilian Consumer Price Index). In order to identify the presence of bubbles, we applied the Johansen non-cointegration test and/or the Granger non-causality test between the intrinsic value, dividends and interest on equity capital, and the market value (semester closing price) of the stocks. The primary findings reveal a presence of bubbles in twenty of the twenty-seven stocks, at a 5% significance level. Of the seven stocks not showing evidence of bubbles, six are financial institutions. In five stocks the tests reveal Granger causality stemming from the market value toward the intrinsic value. The study findings are consistent and contribute with previous research in the literature and, are useful for investors, financial institutions, academics, government agents, and traders.     

Causal relationship between spot and futures prices with multiple time horizons: A nonparametric wavelet Granger causality test

This study investigates the causal information flow between 45 major daily spot returns and their corresponding futures in developing, emerging, and commodity indices through a novel nonparametric wavelet Granger causality test (NWGC) that is capable of detecting causality patterns in various time scales without any stationarity assumption or multivariate autoregressive modeling requirement. We provide new evidence for a complex causality pattern phenomenon. First, there may not be just one dichotomous answer about the Granger causality test for each market data in a time domain, as markets exhibit different causal information flows for different time scales. Second, each market may show distinct causality patterns compared to other markets.     

Stock market integration between the UK and the US: Evidence over eight decades

This study investigates how the impact made on stock market integration by macroeconomic determinants such as various measures of convergence and financial volatility, as well as crisis episodes, varies over the period 1935–2015. We gauge how the level of integration between the UK and US stock markets changes across three monetary regimes during this period: pre–Bretton Woods (BW), the BW fixed exchange rate, and the post-BW flexible rates. Our empirical results suggest that integration was strongest under the post-BW regime and weakest under the BW regime. We further demonstrate that stock market integration between the two markets has been driven largely by macroeconomic convergence and financial volatility as well as by crises, especially since the demise of the BW system.     

Dynamic stock market integration driven by the European Monetary Union: An empirical analysis

We examine the influence of the European Monetary Union (EMU) on the dynamic process of stock market integration over the period 2 January 1989–29 May 2003 using a bivariate EGARCH framework with time-varying conditional correlations. We find that there has been a clear regime shift in European stock market integration with the introduction of the EMU. The EMU has been necessary for stock market integration as unidirectional causality was found. Linear systems regression analysis shows that the increase in both regional and global stock market integration over this period was significantly driven in part, by macroeconomic convergence associated with the introduction of the EMU and financial development levels.     

A method for evaluating the extreme risk sources of financial markets: The case of stock markets in China

Risk contagion has attracted increasing research attention in recent years. In this paper, we combined conditional Value at Risk (CVaR), Bayesian quantile regression and Granger causality test to propose a Bayesian CVaR–Granger causality test method, which is an efficient tool in analyzing sources of extreme risks in a financial market. Using this method, we determined the sources of extreme risks in major stock markets in China.     

Structural change and lead-lag relationship between the Nikkei spot index and futures price: a genetic programming approach

Abstarct

In this paper we adopt a nonparametric genetic programming (GP) approach to identify the structural changes in the Nikkei spot index and futures price. Due to the dominance of the ‘normal’ period in sample data, the lead-lag relationship identified in the spot-futures system based on conventional methods such as the test for Granger causality pertains to the normal period and may not be applicable in an ‘extreme’ period. Using GP we identify the lead-lag relationship based on the chronological ordering of the structural changes in the spot and futures markets. Our results show that in recent periods, major market changes originated from the spot market and spread over to the futures market.     

Has financial market integration increased during the nineties?

This paper analyses whether there has been an increase in the degree of financial market integration during the nineties. To do this, we focus on stock markets and compute two alternative measures of market integration based on a refinement of the approach suggested by Chen, Z., Knez, P.J., 1995. [Measurement of market integration and arbitrage, Review of Financial Studies 8(2), 287–325]. The main advantage of this approach is that it relies on the condition of absence of arbitrage opportunities, which is directly related to the idea that more integration means less barriers to trade across markets — and does not depend on any particular asset pricing model. The evidence found suggests that during the nineties there has been an increase of the degree of market integration between stock markets.     

货币政策是否影响股票市场:基于中国股市的实证分析

货币政策是否影响股票市场，对该问题的回答涉及到中央银行是否有能力以及如何干预股票市场。本文运用协整检验、Granger因果关系检验、向量自回归模型等计量方法分析得出如下结论：1．货币供应量M1、M2与股市流通市值存在双向因果关系，名义利率Nr、实际利率Rr是股市流通市值Nc的Granger原因；2．中央银行可以通过货币供应量和利率两种方式影响股票市场，其中利率更有效。这些结论对于货币当局调控股票市场具有重要的借鉴意义。     

Symmetric and asymmetric nonlinear causalities between oil prices and the U.S. economic sectors

This study investigates the causal dynamics of the U.S. sector price changes and oil price changes using the symmetric nonlinear and asymmetric nonlinear causality tests. We find a unidirectional causality from each sector to the oil market using the Granger and MWald linear causality tests. However, the symmetric nonlinear and asymmetric nonlinear causality for negative price changes tests yield unidirectional causality from the oil to the sector price changes which sharply contrast the evidence using the linear models. We find bidirectional causality using the asymmetric nonlinear test for positive price changes, suggesting temporal, dual and nonlinear information flow during bull markets. Our results from the nonlinear and asymmetric causality tests remain robust after accounting for structural breaks. The empirical findings unravel nonlinear interactions between sector price and oil price changes as well as the importance of signs of changes in the interacting variables, implying oil returns may need to be priced when forecasting sector returns.