Exploring the interaction between stock price index and exchange rates: an asymmetric threshold approach

This article examines the impact of stock market news on the foreign exchange markets of USA, Canada and UK, employing an innovative extension of the asymmetric threshold model of Apergis and Miller (2006). Under this framework we can disentangle the reaction of foreign exchange market to bad or good news and small or large news of stock returns. Our comprehensive daily data-set spans the period from January 1990 to June 2014. Using a cointegration and error correction model, we document the existence of a causal relationship between stock market and foreign exchange markets. Most interestingly, our results derived from the asymmetric threshold model confirm that the relationship between stock and foreign exchange markets is sensitive to short-term good or bad news and short-term small or large news. Our findings entail significant implications for policymakers, governments, risk managers and international investors.     

The relationship between stock prices and exchange rates in South Africa and Nigeria: structural breaks analysis

The relationship between stock prices and exchange rates has continued to generate interest from both the academia and financial industry players for many years. This study conducts an empirical investigation into the relationship between stock prices and exchange rates for the two largest economies in Sub-Saharan Africa – South Africa and Nigeria. Our methodology accounts for structural breaks in the data and the long-run relationship between stock and foreign exchange markets. The results of multivariate causality tests with structural breaks showed that causality runs from exchange rates to domestic stock prices in Nigeria (flow channel) while in South Africa, no causality exists between domestic stock prices and exchange rates. The results also reveal that there is causality from the London stock market to both countries’ stock markets, thus showing that international stock markets are driving both the Nigerian and South African stock markets.     

Currency appreciation and stock market performance: Evidence from China

This paper analyzes the relationship between the change of the exchange rate and the performance of the Chinese stock market after exchange rate regime and split share structure of stock market reformed in 2005, which is important for us to understand the linkages and mechanisms between the two markets deeply. We find that the exchange rate is highly related with the stock market, and there exists long-term cointegration. The results demonstrate that in the long term, the relationship between the two variables mainly belongs to flow-oriented model; Shanghai A Share index is influenced by the exchange rate, yet Shanghai B Share index has shown less indication of long term interrelation with the exchange rate. In the short term, the relationship between the two variables mainly belongs to stock-oriented models, there are inter influence between the stock market and the exchange market. The paper further analyzes the possible influence of different sector indices to exchange rates. Finally, the paper puts forward some advices and policy suggestions.     

银行间和交易所债券市场信息溢出效应研究

本文采用VAR模型研究了我国交易所和银行间国债市场的信息溢出效应。笔者提出以往文献对两个国债市场信息溢出的结论过于简单化,实证验证了两个市场信息溢出时既具有差异性又具有同质性,哪种性质占主导取决于新信息的来源。笔者发现当新信息来源于国债市场内部,两个国债市场会表现出差异性,溢出效应为负向,即银行间国债市场的上升预示着交易所国债市场的下降。当信息来源于国债市场外部,两个国债市场之间则先表现出同质性,溢出效应为正向;随后差异性占主导,两个国债市场之间发生信息负向溢出或资本的流动。     

The impact of subprime mortgage on correlation between stock and FX markets

Our researching period contains the American subprime mortgage crisis, an insignificant financial crisis and the Asian financial crisis periods. We analyse and compare the interrelations between the stock and Foreign Exchange (FX) markets in Taiwan by the daily data of stock prices and NTD/US exchange rates. The empirical results found that there is no effect on the long-term equilibrium between the stock and FX markets during the American subprime mortgage crisis. It also shows that, whether financial crisis occurs or not, there is no cointegration between the stock and FX markets. Furthermore, the results find that there exists bidirectional causality between the stock and FX markets among the American subprime mortgage crisis and the Asian financial crisis period. However, there is only unidirectional relationship from stock prices to exchange rates during insignificant financial crisis period. Such results imply that two financial crises do significantly affect the short-term interrelationships between the stock and FX markets and lead to more importance for the connection between two markets.     

How do great shocks influence the correlation between oil and international stock markets?

We investigate the impacts of great shocks (2003 Iraq War and 2008 Financial Crisis) on the correlations between oil and US/China stock markets, utilizing a novel MADCC (mixed asymmetry dynamic conditional correlation) model. This model successfully captures the coexistence of opposite signed asymmetries. We find that great shocks indeed increased the correlations. Further, results from the news impact surfaces indicate that correlations between oil and stock markets are higher to joint negative shocks; however, correlation between stock markets has stronger response to joint positive shocks.     

Dynamic relationship between stock market trading volumes and investor fear gauges movements

This article applies multifractal detrended fluctuation analysis (MF-DFA) and multifractal detrended cross-correlation analysis (MF-DCCA) to investigate cross-correlation behaviours between two kinds of stock markets trading volumes and investor fear gauges covering the data of U.S. stock markets from 2 January 2004 to 31 July 2018. The empirical results show that the dynamic relationship between stock markets trading volume fluctuations and different kinds of investor fear gauges are multifractal and find that the dynamic relationship is strongly anti-persistent. Moreover, financial crisis in 2008 has a significant impact on the cross-correlated behaviour, suggesting that stock market trading volume fluctuations and investor fear gauges are more susceptible to each other during the financial crisis period. Through the rolling windows analysis, we also find that the stock markets trading volume fluctuations and different kinds of investor fear gauges are anti-persistent dynamic cross-correlated.     

Testing the relative purchasing power parity hypothesis: the case of Korea

This study examines the relative purchasing power parity (PPP) hypothesis using the data from the Korean won–US dollar and the Korean won–Japanese yen foreign exchange markets. We extract proxies for inflation from stock market returns of Korea, the United States and Japan based on the method used by Chowdhry, Roll and Xia in 2005. We explicitly test the relative PPP hypothesis in light of the short-run price volatility using monthly, bimonthly and quarterly data from 1 January 1998 to 31 December 2012. Our findings suggest that the empirical test results from the entire sample period do not support the relative PPP hypothesis. However, the results from the sample period excluding the Asian Financial Crisis period show that the relative PPP hypothesis holds for the Korean won–US dollar market with a moderate magnitude of inflation impact, but not for the Korean won–Japanese yen market. Abrupt changes in exchange rates during the crisis period may have affected the relationship between inflation and exchange rates. This result also suggests that factors other than inflation might have affected the Korean won–Japanese yen exchange rate.     

中国可转债市场与股票市场的动态关系研究——基于DCC-MGARCH模型的分析

近年来,DCC-MGARCH模型已经被成熟地运用到对一些金融市场间关系的研究中,运用DCC-MGARCH模型对可转债市场与股票市场间的动态相关系数进行研究,采用全局综合与局部分析的方法,刻画上述两金融市场间相关系数的动态时变特征,结果表明：采用DCC-MGARCH模型对可转债市场与股票市场间关系的研究是有效且可行的。     

Dynamic linkages between Asian stock prices and exchange rates: new evidence from causality in quantiles

This article applies the Granger causality test in quantiles to investigate causal relations between stock returns and exchange rate changes for nine Asian markets over the period 1 January 1997 to 16 August 2010. Our empirical results indicate that the quantile causal relations vary across different quantiles and different periods. Although the causal effects of exchange rate changes on stock returns (or stock returns on exchange rate changes) are heterogeneous across quantiles, the overall evidence suggests that most stock and foreign exchange markets are negatively correlated. The result shows that there are more bidirectional causal relations in accordance with this method than the conventional least square (LS) estimation. The symmetry of these quantile causal effects (the ‘averaging effect’) helps to explain why conventional LS method usually obtains an insignificant result of causality.     

Capital accumulation and real exchange rate behavior in a small open economy with credit market frictions

Summary. We consider the nature of the relationship between the real exchange rate and capital formation. We present a model of a small open economy that produces and consumes two goods, one tradable and one not. Domestic residents can borrow and lend abroad, and costly state verification (CSV) is a source of frictions in domestic credit markets. The real exchange rate matters for capital accumulation because it affects the␣potential for investors to provide internal finance, which mitigates the CSV problem. We demonstrate that the real exchange rate must monotonically approach its steady state level. However, capital accumulation need not be monotonic and real exchange rate appreciation can be associated with either a rising or a falling capital stock. The relationship between world financial market conditions and the real exchange rate is also investigated. Received: October 3, 1997; revised version: October 23, 1997     

Financial systems and economic growth in South Africa: a dynamic complementarity test

This study examines the relationship between banks, stock markets and economic growth in South Africa. The study attempts to answer one critical question: are stock markets and banks complementary to one another in the process of enhancing economic growth? The complementarity between the stock markets and banks is examined by including a set of interactive terms in a standard growth model, alongside bank development and stock market development proxies. In order to test the robustness of the results, three proxies of stock market development have been used, namely stock market capitalization, stock market traded value and stock market turnover – against the ratio of bank credit to the private sector, a proxy for bank-based financial development. The economic growth is, however, proxied by real GDP per capita. Using the ARDL-Bounds testing procedure, the study finds that the complementarity between stock market development and bank-based financial development is weak and sensitive to the proxy used to measure stock market development.     

中国房地产与股票市场的财富效应检验——基于2000—2010年季度经济数据的实证检验

在Dvornak和Kohle（r2007）的研究基础上,根据中国2000—2010年季度经济数据,对房地产和股票市场的财富效应进行了实证检验。研究结果表明,房地产市场的财富效应为负,房地产价格每上涨10%,将导致消费降低5.41%;而股票市场的财富效应为正,但并不显著,股票价格每上涨10%,仅拉动消费增长0.65%。     

Investment coordinates in the context of housing and stock markets nexus

This study examines the causal relationship between Chinese housing market (HM) and stock market (SM), using the bootstrap Granger full-sample causality test and subsample rolling-window estimation test. The results show that stock price (SP) has both positive and negative impacts on housing price (HP) in several sub-periods, and HP has the same effects on SP. The substitution effect drives their adverse consequences. Meanwhile, the positive effect indicates that SP has a wealth effect on HP, and HP has a credit-price effect on SP. Results provide information to Chinese financial institutions and individual investors for constructing investment portfolios within these asset markets.     

Technological forecasting at the Korean stock market: A dynamic competition analysis using Lotka–Volterra model

The purpose of this paper is to attempt to analyze the dynamic relationship between the Korean Stock Exchange (KSE) and Korean Securities Dealers Automated Quotation (KOSDAQ), two competing markets at the Korean stock market, in the viewpoint of technological forecasting of competition. The Lotka–Volterra system of equations, one well-known competitive diffusion models, is adopted to represent the competitive situations of the Korean stock market and it is estimated using daily empirical index data of KSE and KOSDAQ during 1997–2001. The results show that there existed a predator–prey relationships between two markets in which KSE acted as a prey for the time being after the emergence of KOSDAQ. This interaction was altered to symbiotic relationship and finally to pure competition relationship. We also perform an equilibrium analysis of the estimated Lotka–Volterra equations. As a result, we find that there is an equilibrium point in a dynamic sense. However, the equilibrium point could be unstable in the latest pure competition relationship.     

Which Chinese Markets to Diversify into?

This paper investigates the correlation and feedback relationships between the Hong Kong Hang Seng Index (HSI), the Hang Seng Chinese Enterprise Index (CEI) and the S&P 500 Index (SP). We divide the indexes into two separate periods, from the inception of the CEI in 1994 to the stock market crash in 2000, and from 2001 to 2011. Our results show that the feedback relationship between the CEI and the SP is stronger after 2000. As the feedback relationship grows stronger, the diversification benefit reduces for US investors who utilizes the CEI as a tool for diversifying into Chinese markets.     

A vector error correction model of the Singapore stock market

This article examines the long-term equilibrium relationships between the Singapore stock index and selected macroeconomic variables, as well as among stock indices of Singapore, Japan, and the United States. Upon testing appropriate vector error-correction models, we detected that changes in two measures of real economic activities, industrial production and trade, are not integrated of the same order as changes in Singapore's stock market levels. However, changes in Singapore's stock market levels do form a cointegrating relationship with changes in price levels, money supply, short- and long-term interest rates, and exchange rates. While changes in interest and exchange rates contribute significantly to the cointegrating relationship, those in price levels and money supply do not. This suggests that the Singapore stock market is interest and exchanges rate sensitive. Additionally, the article concludes that the Singapore stock market is significantly and positively cointegrated with stock markets of Japan and the United States.     

Nonlinear causality relationship between stock and real-estate returns in PIGS countries: wealth effect or credit-price effect

It is the first research to investigate for nonlinear interdependence of these two markets in the PIGS (Portugal, Italy, Greece and Spain) countries based on the quantile causality test. The results reveal the existence of the nonlinear causality relationship between the stock returns and real-estate returns in the PIGS countries.

The empirical results of the quantile causality test suggest a significant causal relationship between these two markets in the PIGS countries, especially in the tail quantile. The existence of a significant tail interdependence implies that investors are unable to hedge the risk across the real-estate and stock markets when they are extremely volatile. Therefore, when there exist extreme returns between the two markets in the PIGS countries, both continuous negative impacts imply that instability in the real-estate market drives instability in the stock market and vice versa. It could be one of the major reasons why it deepened the systemic risk of the European sovereign debt crisis.     

Crude oil and BRICS stock markets under extreme shocks: New evidence

In this paper, we propose an extreme Granger causality analysis model to uncover the causal links between crude oil and BRICS stock markets. Instead of analyzing the average causal relationship, as is usually done, we first decompose the data into three cumulative components and investigate the causality between different combinations of extreme positive, extreme negative and normal shocks. These types of combinations can describe all facets of the interactions between crude oil and BRICS stock markets, especially under extreme shocks. In contrast to the results obtained by the traditional Granger causality test, our empirical findings demonstrate that the effect of oil price changes on the stock markets is stronger under extreme circumstances than under normal circumstances. Furthermore, large upward or downward oil price changes have an asymmetric impact on extreme upward or downward stock price changes. Finally, robustness checks verify the rationality and validity of the extreme Granger causality analysis.     

中国股票市场发展与经济增长的实证研究

本文运用Johansen协整检验、格兰杰因果检验等计量经济学方法,通过分析我国近年来宏观数据及股市规模、流动性和波动性的季度数据,对中国股票市场发展与经济增长的关系进行了计量学检验。得出的结论是：总体上,中国股票市场和经济增长之间存在长期的均衡关系,经济增长对股市的发展具有一定促进作用,但股票市场对经济增长的作用十分有限。