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.     

The relationship between population growth and standard-of-living growth over 1870–2013: evidence from a bootstrapped panel Granger causality test

This paper examines the linkages between population growth and standard-of-living growth in 21 countries over the period of 1870–2013. We apply the bootstrap panel causality test proposed by Kónya (Econ Model 23:978–992, 2006), which accounts for both dependency and heterogeneity across countries. We find one-way Granger causality running from population growth to standard-of-living growth for Finland, France, Portugal, and Sweden, one-way Granger causality running from standard-of-living growth to population growth for Canada, Germany, Japan, Norway and Switzerland, two-way causality for Austria and Italy, and no causal relationship for Belgium, Brazil, Denmark, Netherlands, New Zealand, Spain, Sri Lanka, the UK, the USA, and Uruguay. Dividing the sample into two subsamples due to a structural break yields different results over the two periods of 1871–1951 and 1952–2013. Our empirical results suggest important policy implications for these 21 countries as the directions of causality differ across countries and time period.     

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.     

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.     

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.     

国际油价波动对经济增长的影响——基于中国的实证分析

基于1990年1月至2009年3月的月度数据,本文实证分析了我国经济增长与国际石油价格之间的长期变动关系,其特点在于,采用稳健性较强的T-Y因果检验来分析油价与经济增长的Granger因果关系,同时,运用非对称协整技术以考察油价与经济增长之间的非线性关系。研究发现：①长期中油价是我国经济增长的单向Granger原因;②油价与我国经济增长之间存在非对称协整关系,油价上涨对经济活动的负面影响大于油价下跌的积极影响。基于中国经济运行的实际,本文还分析了实证结果背后的原因,并提出当前国际金融危机背景下,油价呈下跌趋势,需抓住有利时机,动用外汇储备,大力购入石油资源,建立起石油战略储备;在经济复苏、油价上涨时,可以启动石油战略储备来减少石油供应冲击,从而有助于及时保证我国经济平稳快速增长的政策建议。     

Stock prices and long-run demand for money: evidence from Malaysia

This paper investigates the money demand function for Malaysia in the 1971-1996 period using the multivariate cointegration and error correction model methodology. The results suggest that a stable long-run relationship exist between real M2, the interest rate differential, income and stock prices. Stock prices have a significant negative substitute effect on long-run as well as short-run broad-money demand (M2) and its omission can lead to serious misspecification in the money demand function. The analysis from the vector error correction model (VECM) and the Toda & Yamamoto (1995) causality tests find that money is endogenous and that there is at least a unidirectional relationship between stock prices and real M2. Stock prices Granger cause real M2 indirectly through income between interest rates and stock prices and stock prices and money stock. This paper comes to the conclusion that due to the endogeneity of money, M2 cannot be completely controlled by Malaysia's central bank. Therefore, in formulating future monetary policy, the response of money demand to stock prices should be considered.     

Exports and growth: Granger causality analysis on OECD countries with a panel data approach

This paper investigates the possibility of Granger causality between the logarithms of real exports and real GDP in twenty-four OECD countries from 1960 to 1997. A new panel data approach is applied which is based on SUR systems and Wald tests with country specific bootstrap critical values. Two different models are used. A bivariate (GDP–exports) model and a trivariate (GDP–exports–openness) model, both without and with a linear time trend. In each case the analysis focusses on direct, one-period-ahead causality between exports and GDP. The results indicate one-way causality from exports to GDP in Belgium, Denmark, Iceland, Ireland, Italy, New Zealand, Spain and Sweden, one-way causality from GDP to exports in Austria, France, Greece, Japan, Mexico, Norway and Portugal, two-way causality between exports and growth in Canada, Finland and the Netherlands, while in the case of Australia, Korea, Luxembourg, Switzerland, the UK and the USA there is no evidence of causality in either direction.     

The empirical study on price discovery of cornstarch futures market in China

This article aims at exploring the performance of the price discovery function of cornstarch futures market in China. In order to test the stationarity of the cash and futures prices of cornstarch, the augmented Dickey–Fuller test is applied. Both prices are integrated of order one. Then, the Johansen cointegration test is conducted to test the cointegrating relationship between those two prices. Finally, the Granger causality test is performed to observe the direction of causality. The evidence shows that there is a long-run relationship between cash and futures prices and the futures price Granger causes cash price. As a whole, price discovery of cornstarch market in China is present although it is a newly emerged market.     

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.     

Does investor sentiment dynamically impact stock returns from different investor horizons? Evidence from the US stock market using a multi-scale method

This article uses the investor sentiment index to investigate the Granger causality between investor sentiment and stock returns for the US economy using a multi-scale method. To focus on the local analysis of different investor horizons, bivariate empirical mode decomposition is used to decompose time series of investor sentiment and stock returns at different timescales. We employ the linear and nonlinear integrated Granger causality method to examine the causal relationship of decomposed series on similar timescales. The results indicate both strong bilateral linear and nonlinear causality between longer-term investor sentiment and stock returns. However, there is no strong evidence for correlation of stock returns and investor sentiment on shorter timescales.     

石油与黄金产业价格联动关系研究

2002-2006年石油与黄金产业价格变动之间的关系可以用格兰杰因果关系进行检验,并根据格兰杰表示定理建立石油与黄金价格联动之间的误差修正模型来考察二者之间的长期关系和动态关系.本文认为石油价格和黄金价格上涨之间是单向的,从石油价格上涨到黄金价格上涨的因果关系,而且这种关系是长期稳定的,并没有随时间而发生结构性变化.     

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.     

Causality patterns for Brent,WTI, and Argus oil prices

Causality patterns are analysed for daily Brent, West Texas Intermediate (WTI), and Argus Sour Crude Index (Argus) oil prices, Argus is the reference price for exports from Saudi Arabia, Kuwait and Iraq. Nonparametric Granger causality testing uncovers bi-directional causal links between Brent and WTI prices at multiple lags. Unidirectional causality from both Brent to Argus and WTI to Argus is also documented. If the current Saudi Arabia attempt to increase market share is successful, variations in Argus prices may start preceding movements in Brent and WTI, also.     

The relationship between agricultural commodity prices,crude oil prices and US dollar exchange rates: a panel VAR approach and causality analysis

This study examines the relationship between crude oil prices, US dollar exchange rates and 30 selected international agricultural prices and five international fertilizer prices in a panel framework. The study uses panel VAR methods and Granger causality tests on panel data sets of agricultural commodity prices (as well as specific agricultural commodity sub-groups) and fertilizer prices with monthly observations of the period from June 1983 to June 2013. The empirical results of the present study indicate that crude oil prices as well as US dollar exchange rates affect international agricultural commodity and fertilizer prices. Furthermore, contrary to the findings of several studies in the literature, the present study supports bidirectional panel causality effects between crude oil prices and international agricultural prices as well as between US exchange rates and international agricultural prices.     

The P* model and Austrian prices

In theP ^* model the price level is determined by the money stock per unit of potential out-put and the long-run equilibrium level of the velocity of money. This article applies this model to Austria. Problems in identifying permanent shocks to potential output and/or velocity lead to the rejection of such models of the price level, but their first-difference version is not so suspect. While evidence is found of a long-run relationship between Austria inflation and money growth, even the first-difference version of theP ^* model is rejected for Austria. Since Austria is a small economy, closely tied to Germany, the article also investigates whether Austrian prices are tied to a GermanP ^* measure. This hypothesis is also rejected, but there is a statistically-significant long-run relationship between Austrian and German inflation. Moreover, Austrian money growth remains significant even in this relationship.This article was written while the author was a Visiting Scholar at the Austrian National Bank. The author is indebted to Fritz Breuss, W. Jahnke, and Dieter Proske for help in obtaining the data used here, and for useful discussions about the data, relevant theoretical issues and results. The comments of the referees on an earlier version are also gratefully acknowledged. The views expressed here are those of the author and are not necessarily those of the Austrian National Bank, the Federal Reserve Bank of St. Louis, or the Board of Governors of the Federal Reserve System.     

Time–frequency relationship between US output with commodity and asset prices

Commodity and asset prices have a well-documented effect on economic growth as manifested through various channels. At the same time, the business cycle influences the commodity and asset prices. Whereas empirical evidence on the effect of commodity and asset prices on the long-run economic growth is ambiguous, most of the previous researches highlight a positive correlation in the short run. The aim of this article is to disentangle the short- and long-run co-movements between US historical business cycles and commodity and asset prices over the period 1859–2013. For this purpose, we use a time–frequency approach and we test the historical influence of oil, gold, housing and stock prices over the output growth. In contrast to other studies, we control for the effect of other prices and monetary conditions, using the wavelet partial coherency. In line with the previous works, we discover that co-movements between economic growth and commodity and assets prices manifest especially in the short run. We also find that stock returns and housing prices have a more powerful effect on the US economic growth rate than the oil and gold prices. The long-run co-movements are documented especially around the World War II. Finally, when controlling for the influence of the interest rate, inflation and other commodity and asset prices, co-movements become weaker in the short run. In general, the oil and housing prices lead the GDP growth, the US output leads the gold prices, while there is no clear causality direction between business cycle and stock prices.     

人民币汇率与股价动态相关性的研究——基于次贷危机前后的比较分析

本文基于2005年8月至2010年6月的月度数据,利用协整检验和向量误差修正模型研究了次贷危机发生前后人民币名义有效汇率与股票价格之间的联动关系。实证结果表明,次贷危机发生前中国股市与汇率之间存在正向的长期均衡关系,且两者之间在长期互为因果关系;在次贷危机发生后两者之间则是反向的长期均衡关系,股价波动在长期内是人民币名义有效汇率变动的单向Granger原因。最后本文基于人民币名义有效汇率的计算方法及其影响因素,利用资产组合平衡模型、国际贸易等相关理论对实证结果进行了分析。     

Consumer prices,wholesale prices,and causality

This paper uses the Wald variant of the Granger direct causality test recently prescribed by Geweke, Meese, and Dent (1983) to assess the causal nature of the pairwise relationship between U.S. consumer and wholesale (producer) prices. For the sample period, January 1947 to December 1983, as well as for the two sample subperiods, January 1947 to June 1971 and May 1974 to December 1983, the test reveal that bidirectional causality, or feedback, exists between monthly observations on seasonally unadjusted consumer and wholesale price changes. The finding of bidirectional causality corroborates other empirical evidence suggesthing that a simultaneous equation approach represents the appropriate way to estimate a bivariate model that consists of consumer and wholesale prices.     

Energy consumption and economic growth in Asian economies: A more comprehensive analysis using panel data

This paper applies the most recently developed panel unit root, heterogeneous panel cointegration and panel-based error correction models to re-investigate co-movement and the causal relationship between energy consumption and real GDP within a multivariate framework that includes capital stock and labor input for 16 Asian countries during the 1971–2002 period. It employs the production side model (aggregate production function). The empirical results fully support a positive long-run cointegrated relationship between real GDP and energy consumption when the heterogeneous country effect is taken into account. It is found that although economic growth and energy consumption lack short-run causality, there is long-run unidirectional causality running from energy consumption to economic growth. This means that reducing energy consumption does not adversely affect GDP in the short-run but would in the long-run; thus, these countries should adopt a more vigorous energy policy. Furthermore, we broaden the investigation by dividing the sample countries into two cross-regional groups, namely the APEC and ASEAN groups, and even more important results and implications emerge.