Dynamic linkages between exchange rates and stock prices: Evidence from East Asian markets

This study examines dynamic linkages between exchange rates and stock prices for seven East Asian countries, including Hong Kong, Japan, Korea, Malaysia, Singapore, Taiwan, and Thailand, for the period January 1988 to October 1998. Our empirical results show a significant causal relation from exchange rates to stock prices for Hong Kong, Japan, Malaysia, and Thailand before the 1997 Asian financial crisis. We also find a causal relation from the equity market to the foreign exchange market for Hong Kong, Korea, and Singapore. Further, while no country shows a significant causality from stock prices to exchange rates during the Asian crisis, a causal relation from exchange rates to stock prices is found for all countries except Malaysia. Our findings are robust with respect to various testing methods used, including Granger causality tests, a variance decomposition analysis, and an impulse response analysis. Our findings also indicate that the linkages vary across economies with respect to exchange rate regimes, the trade size, the degree of capital control, and the size of equity market.     

Information and adjustment in a local housing market

Existing studies on bubbles have been mainly concerned with investigating the stationarity properties of stock prices and market fundamentals. We develop a new method of testing for bubbles that relates the bubble component of stock prices to the probability of bursting in the context of the Weibull distribution. There were several eruptions and subsequent collapses of seeming bubbles over the past three decades: 1987 (Black Monday), 2000 (information technology (IT) boom) and 2007 (housing market boom). Using US monthly data for the S&P 500 and NASDAQ series, we have found that the S&P 500 series contained an explosive bubble only during the boom of the housing market that occurred before the 2007 global economic crisis, and the NASDAQ market contained an explosive bubble during the surge of stock prices peaking in 1987 and 2007, although our stationarity tests fail to detect the bubbles. No bubble was found in both the S&P and NASDAQ series during the 2000 IT boom. Our evidence corroborates the criticism that the traditional unit root and cointegration tests may not be able to detect some important class of bubbles.     

Rational expectation bubbles: evidence from Hong Kong’s sub-indices

This article uses Hong Kong stock market’s four sub-indices to examine the existence and causes of rational expectation bubbles. The unit root test is applied to the rational bubble hypothesis. Various causality test methods are used to examine the causality of bubble among the four sub-indices. The empirical results show that in the sub-periods of 1986 to 2002 and 2000 to 2012, the bubbles of commerce and industry and utilities industries are consistent with rational expectation bubbles, but not so in the finance and properties industries. In general, the rational expectation bubbles in the two sub-periods seemed to have been caused by expectations in other growing foreign economies.     

The effect of oil prices on stock prices: fresh evidence from asymmetric causality tests

This article investigates the causal impact of oil prices on stock prices in each G7 market as well as in the world market. An asymmetric causality test developed by Hatemi-J is used for this purpose. Since the underlying data appears to be non-normal with time-varying volatility, we use bootstrap simulations with leverage adjustments in order to produce more reliable critical values than the asymptotic ones. Based on symmetric causality tests, we find no causal effect of oil prices on the stock prices of the world market or any of the G7 countries. However, when we apply an asymmetric causality test, we find that increasing oil prices cause stock prices to rise in the world, the U.S. and Japan while decreasing oil prices cause stock prices to fall in Germany. This may imply that the world, the U.S. and Japanese stock markets consider increases in oil prices as an indicator of good news as this may mean that there is an increase in oil demand due to an expected growth in the economy while the German stock market treats decreasing oil prices as a signal of an expected contraction in the economy.     

Housing prices,stock prices and the US economy

This paper studies the relationship between housing prices, stock prices, interest rates and aggregate output in the US using monthly data from 1993 to 2014. Evidence from causality tests and a variance decomposition procedure suggest that stock prices have a much larger effect on aggregate output in the US economy than do either housing prices or interest rates. Instead, the wealth effect created by changes in stock prices has a relatively large impact on US aggregate output. Separate estimations and variance decompositions for the sample periods 1993–2001, 2002–2008 and 2009–2014 show that the impact of housing prices relative to stock prices has been waning over time.     

Did bubbles migrate from the stock to the housing market in China between 2005 and 2010?

The speculative nature of both stock and housing markets in China has attracted the attention of observers. However, while stock market data are easily available, the low frequency and low quality of publicly available housing price data hampers the study of the relationship between the two markets. We use original hedonic weekly resale housing prices of a major Chinese housing market and study them in conjunction with Shanghai's stock market index in the second half of the 2000s. The use of the Phillips et al. (2015 a,b) recursive explosive‐root test enables us to detect and date speculative episodes in both markets. We then implement the Greenaway‐McGrevy and Phillips (2016) methodology to detect the presence of migration between the two types of bubbles. We detect significant migration from the stock to the housing market bubble in 2009 and a temporary spillover in 2007.     

Can M&A activities act as a predictor of the performance of economic growth or stock prices?

One of the important issues with regard to the relationship between M&As (mergers and acquisitions) and economic growth or stock prices is whether such activities can act as a predictor of these two variables' performance, or whether these variables have resulted in significant impacts on M&A activities. The aim of this paper is to use the method proposed in Kónya (2006) to carry out a causality test among M&A activities, economic growth and stock prices, because the causal relationships that may be uncovered by this would be meaningful for both policymakers and stockholders. This paper uses quarterly data from six OECD countries for the period from April 1980 to March 2010. The bootstrap panel Granger causality test that this work applies also considers cross-sectional dependency and slope heterogeneity simultaneously. The findings of the paper are as follows. There is significant, one-way causality from stock prices to M&A activities, and thus changes in stock prices lead M&A activities. With real GDP as the control variable, for all the countries surveyed, except Australia, stock prices lead M&A activities. As for the impact that economic growth has on M&A activities, we conclude that, when using stock prices as the control variable, there is almost no lead-lag relationship between economic growth and M&A activities, except for in Japan.     

Causal relationship between stock returns and real economic growth in the pre- and post-crisis period: evidence from China

This article empirically examines the causality in mean and variance between stock returns and real economic growth in China before and after the outbreak of US subprime crisis. Using a nonuniform weighting cross-correlation approach and the multivariate generalized autoregressive conditional heteroscedasticity model, we found no causality in mean or variance between China’s stock returns and real economic growth for the period before the subprime crisis. Interestingly, however, in the period after the crisis, we detected unidirectional causality in mean from real economic growth to stock returns and unidirectional causality in variance from stock returns to real economic growth. These new findings imply that the linkage between China’s stock market and its real economy has become stronger in the post-crisis period. The implication of our results is that Chinese policymakers should continue the deregulation and improve the efficiency of the stock market to sustain high economic growth rate in the future.     

基于方差分解法的中国股市泡沫检验问题研究

基于理性投机泡沫理论,采用方差分解法对2005年5月到2012年9月上证综指是否存在泡沫以及泡沫的严重程度进行实证检验,并将检验结果同动态自回归法得到的结果进行比较。研究发现该方法能更有效地检测出我国股市中存在的严重投机性泡沫。     

Taxation, collateral use of land, and Japanese asset prices

Japan experienced a significant increase in land and stock prices in the late 1980s and a subsequent reversal in these asset prices in the 1990s. I use a neoclassical growth model to determine how much of these asset price movements can be accounted for by the observed changes in output growth and land-related taxation. In the model, corporations issue land-collateralized debt to reduce their tax liabilities, and the government follows a land-taxation policy that is countercyclical to land prices. Without these features, the model cannot generate any significant change in land values, even with a permanent increase in the growth rate of the economy, because a permanent increase in the growth rate results in a comparable increase at the rate at which agents discount future returns. The collateral use of land and countercyclical land-tax policy introduce a substantial magnification mechanism for asset prices by reducing the required return on land. I calibrate the model to Japanese data, and conduct steady-state experiments and deterministic simulations. I show that if the observed increase in the growth rate of productivity and the decline in land taxes were expected to be permanent by market participants, then the model can by and large account for the movements in land and stock prices, but has counterfactual predictions regarding the behavior of capital. If agents expect the observed changes in the fundamentals to be temporary, then the model cannot generate a significant increase in these asset prices.     

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.     

Natural gas prices and stock prices: Evidence from EU-15 countries

This study investigates the long-run relationship between natural gas prices and stock prices by using the Johansen and Juselius cointegration test and error–correction based Granger causality models for the EU-15 countries. We employ quarterly data covering the period from 1990:1 to 2008:1. Empirical findings suggest that there is a unique long-term equilibrium relationship between natural gas prices, industrial production and stock prices in Austria, Denmark, Finland, Germany and Luxembourg. However, no relationship is found between these variables in the other ten EU-15 countries. Although we detect a significant long-run relationship between stock prices and natural gas prices, Granger causality test results imply an indirect Granger causal relationship between these two variables. In addition, we investigate the Granger causal relationship between stock returns, industrial production growth and natural gas price increase for Austria, Denmark, Finland, Germany and Luxembourg. As a result, increase in natural gas prices seem to impact industrial production growth at the first place. In turn, industrial production growth appears to affect stock returns.     

Periodically collapsing bubbles in the US stock market?

The existence of periodically collapsing bubbles in stock markets, applying the Enders–Siklos momentum threshold autoregressive (MTAR) model, is empirically investigated in this paper. Using this nonlinear time series technique, we are now able to analyse bubble-driven run-ups in stock prices followed by a crash in a cointegration framework with asymmetric adjustment. Therefore, applying this technique makes possible a deeper insight into the behavior of stock prices than was previously possible using conventional cointegration tests. Although the results from the subsample 1871–1995 cannot be interpreted in favor of the existence of periodically collapsing bubbles in the US stock market, the findings from the 1871–2001 sample period indicate their presence.     

Causal effects of the United States and Japan on Pacific-Rim stock markets: nonparametric quantile causality approach

This article adopts a nonparametric quantile causality approach to examine the causal effects of the U.S. and Japan stock markets on the stock markets of the Pacific-Rim region. This approach allows us to detect not only nonlinear causalities in conditional return (mean) and conditional volatility (variance) but also the asymmetries of causalities under extreme market conditions (bullish vs. bearish states). Our results provide significant evidence of causality in return and volatility at different points of the conditional distributions of returns, with the greater effects from the U.S. than from Japan. Asymmetric quantile causality patterns are particularly pronounced in the case of Japan.     

关于全民炒股和股市泡沫的经济分析

近来媒体关于全民炒股特别是上班族炒股升温的报道,敲响了股市泡沫崩溃的警钟,而推动股市泡沫走向崩溃的,则是全民炒股热和上班族炒股风.中国股票市场的两大缺陷是中国股市动辄形成严重泡沫的重要原因,要彻底消除股市泡沫,必须改变股票供给严重不足和股票需求异常增大的局面,并严肃八小时工作纪律,杜绝全民炒股特别是上班炒股风.在股市钱空的程度日趋严重的形势下,对股市泡沫崩溃及其严重影响必须有清醒的认识,做好充分的准备.     

The dynamic causality between commodity prices,inflation and output in China: a bootstrap rolling window approach

In this article, we empirically study the time-varying bilateral causality between commodity prices, inflation and output in China. We first perform a series of parameter stability tests and find strong evidence of instability in the parameters estimated for Granger causality tests. We then use the bootstrap rolling window approach to test the causality and find that the causality from commodity prices to both inflation and output is time-varying in the entire sample period and asymmetric in different phases of the business cycle. We also find evidence of the causality from both inflation and output to commodity prices in certain sub-periods. Further discussion on the cost-price mechanism through which the economy fluctuates cyclically suggests that the dynamic causality between commodity prices and inflation contributes to understanding the nature of economic fluctuations and to forecasting economic crises. Overall, our results provide a new perspective to disentangle economic fluctuations.     

Rational Speculative Bubbles: An Empirical Investigation of the London Stock Exchange

In recent years, a sharp divergence of London Stock Exchange equity prices from dividends has been noted. In this paper, we examine whether this divergence can be explained by reference to the existence of a speculative bubble. Three different empirical methodologies are used: variance bounds tests, bubble specification tests, and cointegration tests based on both ex post and ex ante data. We find that, stock prices diverged significantly from their fundamental values during the late 1990's, and that this divergence has all the characteristics of a bubble.     

Are there bubbles in Chinese RMB–dollar exchange rate? Evidence from generalized sup ADF tests

This article uses recently developed generalized sup ADF (GSADF) unit root tests into the analysis of nominal RMB–dollar exchange rates bubbles. Based on the results from the GSADF tests, we find strong evidence of explosive behaviour in the nominal exchange rate and investigate two bubbles there. The first bubble is during 2005–2006 which is determined neither by the relative prices of traded goods nor the relative price of nontraded goods. The second bubble busts in 2008 during subprime crisis period, and which is determined by the relative prices of traded goods but not the relative price of nontraded goods. There is no bubble before 2005 as the exchange rate is under fixed regime. As for this result, some expansionary monetary and fiscal policies are required in China since these are the most efficient and effective under a bubble burst scenario.     

Why Do Prices Remain Stable in the Bubble and Bust Period?

In spite of a large swing in real output growth in the bubble and bust period, aggregate prices remained relatively stable in Japan. Empirical results show that such price rigidity can be explained by the customer market model combined with financial constraints. The degree of financial constraints that firms face in the bubble and bust period fluctuates significantly, and the impact of financial positions on firms’ prices is counter-cyclical. In booms, liquidity-abundant firms invest in market share by keeping prices down, while in a recession financially constrained firms charge a high price to locked-in customers who remain loyal. Such counter-cyclicality is clearly observed in the pricing behavior of large firms that produce differentiated goods. In contrast, small firms whose product brand is not well established in the market cannot lock in customers, and hence financial constraints do not affect their pricing decisions.     

租售比与中国城市住房泡沫*

本文在住房消费性和投资性需求基础上,通过泡沫和无泡沫租售比测度住房泡沫。本文对中国1996-2013年35个大中城市数据分析发现：第一,北京、上海等16个城市存在住房泡沫;第二,房价预期易催生东部和一线城市而非中西部和二三线城市住房泡沫;第三,利率政策对抑制中西部和二三线城市住房泡沫比东部和一线城市更有效;第四,住房存量过大引发住房泡沫;第五,房贷和开发成本助长住房泡沫;第六,土地财政助长住房泡沫,但股票市场回报率抑制住房泡沫。