Global and regional linkages across market cycles: evidence from partial correlations in a network framework

Using a novel approach, partial correlations within a complex network framework, we examine the degree of globalization and regionalization of stock market linkages and how these linkages vary across different economic or market cycles. Our results show that geography influences network linkages differently across economic cycles. During normal times, regional factors shape market linkages; however, during periods of turbulence, global rather than regional factors drive the linkages. The network traffic also increases during times of turmoil, but contrary to previous results, we do not find a consistent or overwhelming increase in positive linkages between markets. Also, contrary to expectations, financial centres such as the US, China, Japan, and the UK command a greater regional rather than global influence. Our findings have implications for asset pricing and policy decision making.     

How pervasive is the effect of culture on stock market linkages? Evidence across regions and economic cycles

We conduct a comprehensive study on the effect of culture on stock market linkages. With data on 25 national stock markets, a quantile regression model is used to estimate the determinants of market linkages using culture variable/s such as language, religion and Hofstede’s cultural dimensions while controlling for distance, economic and legal variables. Further, we test whether these effects hold across regions and if changes are detected during periods of market crisis. We also test if market liquidity, an indicator of market efficiency, diminishes the impact of culture on market linkages. The main conclusion is that culture preferences shape investor choices, which affects integration between stock markets. The equity markets with similar cultural traits tend to increase market linkages; however, we observe differences across regions. Furthermore, liquidity and economic uncertainty fail to have an impact on the significance of culture variable/s as determinants of market linkages.     

On the Linkages of the Stock Markets of the NAFTA Countries: Fundamentals or Speculative Bubbles?

We analyze whether the linkages between the stock markets of the NAFTA member countries (Canada, Mexico, and the United States) reflect movements in fundamentals or speculative bubbles. To this end, we estimate a state-space model to decompose the stock market indexes of the three NAFTA member countries into fundamentals and speculative bubbles. We analyze the linkages of the three stock markets by means of cointegration techniques. Evidence of cointegration linkages between fundamentals is stronger than evidence of cointegration linkages between speculative bubbles.     

International timber markets and tropical deforestation: the evidence from prices

Some scholars suggest that global timber markets, especially those involving high value species, are a leading cause of tropical deforestation. Despite limited empirical evidence, this hypothesis rests on the assumption that global timber markets respond to a common equilibrating mechanism that provides strong enough incentives for loggers in the tropical regions of the world. This article develops a simple model and taps into a unique data set on timber prices of hardwood and softwood in leading markets to test the global timber markets hypothesis. While we find evidence of a global equilibrating mechanism with potentially significant economic incentives to affect tropical deforestation, our results do not endorse the common conjecture in the literature that timber price shocks in developed countries lead to a homogeneous response in terms of deforestation everywhere in the tropical world. Instead, they invite further development of structural global timber market models to assess the linkages between markets and the consequences of such linkages to deforestation.     

Dynamic Correlation Analysis of Asian Stock Markets

This paper examines the stock market linkages within the Asia-Pacific region and between Asian markets and the U.S. market over the period of January 2000 to June 2010, employing the dynamic conditional correlation GARCH model. Our results show that there exist very high correlations among the stock markets during the 2008 financial crisis. Therefore, consistent with the finding in literature, there are no diversification benefits during the financial crisis. However, our results show that there are still substantial opportunities for global investors to improve the risk-return performance between China and other markets during the sample period. In addition, we find evidence that the U.S. market significantly affects the stock markets in the Asia-Pacific region. Using T-GARCH model, there is a strong evidence of an asymmetric effect on conditional variance except stock markets in China and Malaysia.     

A spatial–temporal analysis of East Asian equity market linkages

This paper examines East Asian equity market linkages in and out of the Asian and global financial crises using a novel econometric approach. The market dependence structure and shock transmission mechanism are explored spatially in the time domain, thus offering new insights into the dynamic regional market linkage patterns. Results show that East Asian equity markets are characterized by linkages through significant spatial effects, crises are conducive to increased cross-border linkages especially in the case of China, and Japan is a dominant driver of market linkages in the region.     

Trade and Investment Linkages and Stock Market Long‐Run Relationship

This paper aims to examine whether the intensity of trade and investment linkages among the countries matter for their stock market long‐run relationship. To achieve this, we classify Australia's bilateral trade and investment partners into major, medium and minor. Empirical findings of an asymmetric generalised dynamic conditional correlation generalised autoregressive conditional heteroskedasticity model show that correlations are time varying and increased significantly during the global financial crisis (GFC). Results of multivariate cointegration test confirm the long‐run equilibrium relationship between the stock markets of Australia and its major partners in the pre‐GFC and during GFC. Based on the full‐sample results, it indicates that the GFC has segmented the stock markets from the long‐run equilibrium relationship. Granger non‐causality test results on full sample show that Australian stock market causes only the New Zealand market while the USA, the UK, Germany, Canada, Switzerland and Italy drives the Australian market. Our results therefore suggest that the intensity of bilateral trade and investment linkages among the countries matter for their stock markets' long‐term relationship.     

Global imbalances,cross-market linkages,and the financial crisis: A multivariate Markov-switching analysis

Based on multivariate Markov-switching models, this paper presents new results on the interactions between global imbalances, credit spreads, housing markets, macroeconomic variables, commodities and equities during Q1-1987/Q1-2011. We show that rising global imbalances and the uncontrolled development of the US mortgage and housing markets have been deeply destabilizing the economy, with various shocks impacting subsequently equity markets and macroeconomic variables. But we also uncover, surprisingly, that the cross-market linkages with the commodity markets are strong. Finally, we identify that the US housing market lies at the epicenter of the crisis through its multiple and highly significant interactions with the other variables in the system (including the global imbalances). Sub-samples and alternative time series estimates are provided to check the statistical congruency of the various models.     

A variable threshold band approach to measuring market linkages

Uncertain and changing economic conditions can have substantial effects on price relationships in spatially separated, linked markets. Although numerous studies have analysed price relationships to characterize market linkage structures, most assume that the relationships and associated linkages are time invariant. This study extends the literature by modelling and estimating time-dependent market linkages that are conditional on changes in exogenous factors. The methodology is used to investigate price relationships in North Carolina (NC) corn and soya bean markets. Empirical results indicate that generalized market-linkage models provide a better representation of price relationships over time, improving the understanding of price discovery dynamics and marketing strategies.     

Art as an investment: Short and long-term comovements in major painting markets

This paper examines the short and long-term price linkages among major art and equity markets over the period 1976–2001. The art markets examined are Contemporary Masters, French Impressionists, Modern European, 19^th Century European, Old Masters, Surrealists, 20^th Century English and Modern US paintings. A global equity index (with dividends and capitalisation changes) is also included. Multivariate cointegration procedures, Granger non-causality tests, level VAR and generalised variance decomposition analyses based on error-correction and vector autoregressive models are conducted to analyse short and long-run relationships among these markets. The results indicate that there is a stationary long-run relationship and significant short and long run causal linkages between the various painting markets and between the equity market and painting markets. However, in terms of the percentage of variance explained most painting markets are relatively isolated, and other painting markets are generally more important than the equity market in explaining the variance that is not caused by innovations in the market itself. This suggests that opportunities for portfolio diversification in art works alone and in conjunction with equity markets exist, though in common with the literature in this area the study finds that the returns on paintings are much lower and the risks much higher than in conventional financial markets.The authors would like to thank delegates to the 14th Australasian Finance and Banking Conference, University of New South Wales, seminar participants at the Queensland University of Technology and Massey University, Masaki Katsuura, and two anonymous referees for helpful comments on earlier versions of this paper. The financial assistance of a Queensland University of Technology, Faculty of Business Research Initiative Grant is also gratefully acknowledged.     

Equity market integration versus segmentation in three dominant markets of the Southern African Customs Union: cointegration and causality tests

Empirical tests of theories of financial market integration and segmentation have predominantly focused on developed OECD countries and the emerging markets of Asia Pacific. This study uses a unique panel of equity market indices from the principal Southern African Customs Union (SACU) markets. It tests the hypothesis of market integration using a cointegration approach. Markets that are found to be integrated are then tested for evidence of Granger causality through an error correction mechanism. Results obtained using VAR modelling techniques are compared to those using an ARDL model. While results lend support to existing trade, macroeconomic and developmental linkages and effects between and within the countries, there is some evidence for the presence of a regional factor common to African Emerging Markets that explains causality from Namibia to South Africa. The results support the view that institution building has progressed, which is considered to be a valuable contribution to growth promotion policies in SSA and market integration throughout financial markets in the SADC community.     

Evaluating international financial integration under leverage constraints

The global financial crisis has undermined many economists' views about the benefits of open financial markets. Anecdotal evidence seems to indicate that financial linkages may propagate shocks during crises. This paper develops a simple two-country model in which financial liberalisation across countries takes place in the presence of credit market distortions within countries. Countries may be subject to macro risk coming from productivity shocks and direct shocks to the credit system (‘financial shocks’). Three different degrees of financial linkages between countries are examined. It is shown that the type of financial integration is critical for both macroeconomic outcomes and welfare. In particular, financial integration in bond markets alone may increase aggregate consumption volatility and reduce welfare. Financial integration in both bond and equity markets generates high positive co-movement across countries, but is welfare-improving.     

How does technology transfer affect backward linkages? A motivating example theoretical analysis

This paper develops a model in which the presence of a multinational leads to a technology transfer to its local suppliers and also modifies the degree of backward linkages in the local economy. First, we identify the domestic market characteristics under which the multinationals increase the level of backward linkages when they enter these markets. Moreover, we investigate the conditions under which the multinational could even benefit itself from transferring technology to its local suppliers. Finally, when the multinational transfers technology, we show when the level of backward linkages in the local economy increases.     

Time-varying dependence in European equity markets: A contagion and investor sentiment driven analysis

In the light of the global financial crisis and sovereign debt crisis, this paper investigates the dependence patterns in 24 European equity markets from January 5, 2004 to July 1, 2016. We further examine whether these stressful events trigger contagion. Given that investors tend to behave irrationally in turmoil periods, we add to the literature by studying the effect of investor sentiment on markets correlations. Our results reveal heterogeneity in the time-varying dependence and across markets. Contagion is confirmed in turbulent times, a spillover effect from periphery euro area being detected. We find that similar sentiments increase correlations, especially in crises, suggesting that investors’ perceptions are an important channel of moving markets in the same direction. Furthermore, negative sentiments, such as fear or pessimism, amplify the linkages between markets. Our results offer useful insights to policy makers for reacting timely to financial shocks and for designing a more integrated market.     

Asymmetric Linkages between BRICS Stock Returns and Country Risk Ratings: Evidence from Dynamic Panel Threshold Models

This study investigates the asymmetric linkages between the five BRICS (Brazil, Russia, India, China and South Africa) countries’ stock markets and three country risk ratings (financial, economic and political risk) in the presence of major global economic and financial factors. Using the dynamic panel threshold models, we find evidence of asymmetry in most cases. However, the significance and the signs of the effects of these risk ratings on the BRICS market returns differ across the lower and upper regimes. Furthermore, improvements in the global stock, West Texas Intermediate (WTI) and gold markets enhance the BRICS stock market performance. Increases in implied volatility indices lead to drops in the BRICS markets.     

Return spillovers around the globe: A network approach

We study the connectedness of a sample of 40 stock markets across five continents using daily closing prices and return spillovers based on Granger causality. All possible 1560 return spillovers between 40 markets create a complex network of relationships between equity markets around the world. Apart from analyzing the topological and time-varying properties of the created networks, we also identify the determinants of the connectedness of equity markets over time. Adjusting for non-synchronous trading, our modelling approach leads to evidence that the probability of return spillover from a given stock market to other markets increases with market volatility and market size and decreases with higher foreign exchange volatility. We empirically show that the temporal proximity between closing hours is important for information propagation; therefore, choosing markets that trade during similar hours bears an additional risk to investors because the probability of return spillovers increases.     

Predicting long-run risk factors of stock returns: Evidence from Australia

This study utilises the stock market data provided by the Australian Equity Database to analyse the long-run relationship between Australian stock returns and key macroeconomic variables over the period 1926–2017. To measure the diverse risk factors in the stock market, we examine the possible determinants in four main categories: real, financial, domestic and international. Our results reveal that historical stock returns are strongly connected to financial and international factors as compared to real and domestic factors. Both the 1973–1974 OPEC Oil Price Crisis and 2007–2008 Global Financial Crisis had dampening effects on stock returns. There is a positive association between the US and Australian stock markets in the long-run. These findings on stock market dynamics and their linkages with domestic and international macroeconomic policy changes in the long-run have important implications for traders and practitioners.     

Structural change and international stock market interdependence: Evidence from Asian emerging markets

This study investigates the evolving pattern of the interdependence among selected Asian emerging markets and three major stock markets (Japan, UK and US). Using rolling cointegration methods and the recently developed algorithms of inductive causation, we found that time-varying cointegration relationships exist among these stock markets. The results indicate that the wave of financial liberalization policies in the early 1990s led to a significant increase in market linkages which was later weakened during the 1997 Asian financial crisis. Furthermore, the data indicate that Japan and the US have the greatest influence on the emerging markets while the influence of Singapore and Thailand has increased since the Asian financial crisis.     

Cointegration and spatial price transmission among wheat and wheat-flour markets in Afghanistan

This article examines cointegration and spatial price transmission among Afghan wheat and flour markets as well as their linkages with those of supplier countries and global markets. Unit root tests, consistent momentum threshold autoregressive (M-TAR) models and vector error correction models (asymmetric and symmetric) are employed to achieve research objectives. The results suggest that provincial wheat and flour markets may have a long-run relationship with principal market of Kabul. Afghan wheat and flour markets may also be cointegrated with their respective global, Kazakh and Pakistani markets. While provincial wheat markets might adjust to divergence from their long-run equilibrium with Kabul wheat market, some of the provincial flour markets may not respond to deviation from their long-run equilibrium with Kabul flour market. The speed of adjustment towards the long-run Afghan–Pakistani and Afghan–Kazakh equilibrium may be faster for Afghan flour than wheat markets. The equilibrium adjustment coefficients are generally small and market imperfections may exist, however. A shock in Kabul wheat and flour markets may have long-lasting effect on the respective provincial markets whereas a shock in global wheat and Pakistani, and Kazakh wheat and flour markets might have transitory effect on the corresponding Afghan markets.     

Inducing liquidity in thin financial markets through combined-value trading mechanisms

Asset pricing theory hypothesizes that investors are only interested in portfolios; individual securities are evaluated only in terms of their contribution to portfolio risk and return. Yet, standard financial market design is that of parallel, unconnected markets, whereby investors cannot submit orders in one market conditional on events in others. When markets are thin, this exposes them to substantial execution risk. Fear of ending up with unbalanced portfolios after trading may even keep investors from submitting orders, further eroding liquidity and the ability of markets to equilibrate. The suggested solution is a portfolio trading mechanism referred to as combined-value trading (CVT). Investors are allowed to submit orders for packages of securities and the system matches trades and computes prices by optimally combining portfolio orders in an open book. We study the performance of the CVT mechanism experimentally and compare it to the performance of parallel, unconnected double auctions in experiments with similar parametrization and either a similar number of subjects or substantially thicker markets. We present evidence that our portfolio trading mechanism facilitates equilibration to the extent that the thicker markets do. Inspection of order submission and trade activity reveals that subjects manage to exploit the direct linkages between markets enabled by the CVT system.