Oil prices,stock returns,and exchange rates: Empirical evidence from China and the United States

Employing the diagonal BEKK model as well as the dynamic impulse response functions, this study investigates the time-varying trilateral relationships among real oil prices, exchange rate changes, and stock market returns in China and the U.S. from February 1991 to December 2015. We highlight several key observations: (i) oil prices respond positively and significantly to aggregate demand shocks; (ii) positive oil supply shocks adversely and significantly affect the Chinese stock market; (iii) oil price shocks persistently and significantly impact the trade-weighted US dollar index negatively; (iv) the US and China stock markets correlate positively just as the dollar index and the exchange rate does; (v) a significant parallel inverse relation exists between the US stock market and the dollar and between the China stock market and the exchange rate; and (vi) the Chinese stock market is more volatile and responsive to aggregate demand and oil price shocks than the US stock market in recent years.     

Economic uncertainty,oil prices,hedging and U.S. stock returns of the airline industry

This paper examines the impacts of economic policy uncertainty and oil price shocks on stock returns of U.S. airlines using both industry and firm-level data. Our empirical approach considers a structural vector-autoregressive model with variables recognized to be important for airline returns including jet fuel price volatility. Empirical results confirm that oil price increase, economic uncertainty and jet fuel price volatility have significantly adverse effect on real stock returns of airlines both at industry and at firm level. In addition, we also find that hedging future fuel purchase has statistically positive impact on the smaller airlines. Our results suggest policy implications for practitioners, managers of airline industry and commodity investors.     

Speculation in the Oil Market

The run‐up in oil prices since 2004 coincided with growing investment in commodity markets and increased price co‐movement among different commodities. We assess whether speculation in the oil market played a role in driving this salient empirical pattern. We identify oil shocks from a large dataset using a dynamic factor model. This method is motivated by the fact that a small‐scale vector autoregression is not informationally sufficient to identify the shocks. The main results are as follows. (i) While global demand shocks account for the largest share of oil price fluctuations, speculative shocks are the second most important driver. (ii) The increase in oil prices over the last decade is mainly driven by the strength of global demand. However, speculation played a significant role in the oil price increase between 2004 and 2008 and its subsequent collapse. (iii) The co‐movement between oil prices and the prices of other commodities is mainly explained by global demand shocks. Our results support the view that the recent oil price increase is mainly driven by the strength of global demand but that the financialization process of commodity markets also played a role. Copyright © 2014 John Wiley & Sons, Ltd.     

Do U.S. macroeconomic surprises influence equity returns? An exploratory analysis of developed economies

Given the dominant role the U.S. economy plays in global trade, we explore how U.S. macroeconomic surprises affect stock markets in ten major developed economies as well as in China and India. We do not find strong enough evidence to conclude that U.S. macro shocks materially and consistently influence equity returns and volatilities in the economies studied. Consistent with previous research, it appears that only in few markets are return levels materially influenced by macro surprises generated in the U.S. Also, only a small number of macro shocks seem to be of any consistent significance. For returns levels, inflation, productivity, consumer confidence, and retail sales seem to matter. At the same time, conditional volatilities appear to be influenced by inflation, retail sales, durable goods, industrial production, consumer confidence, gross domestic product, and trade balance surprises. Finally, our exploratory analysis indicates that the degree of bilateral trade connectedness may partially explain the extent to which macroeconomic surprises are transmitted across countries.     

Economic policy uncertainty,oil price volatility and stock market returns: Evidence from a nonlinear model

This paper investigates the nonlinear relationship between economic policy uncertainty, oil price volatility and stock market returns for 25 countries by applying the panel smooth transition regression model. We find that oil price volatility has a negative effect on stock returns, and this effect increases with economic policy uncertainty. Furthermore, there is pronounced heterogeneity in responses. First, oil-exporting countries whose economies depend more on oil prices respond more strongly to oil price volatility than oil-importing countries. Second, stock returns of developing countries are more susceptible to oil price volatility than that of developed countries. Third, crisis plays a crucial role in the relation between oil price volatility and stock returns.     

中国城市土地市场存在“赢者诅咒”吗？

借鉴相关研究成果,构建一个综合性的时间窗口分析模型,利用我国境内房地产上市公司在20个城市购置的205宗土地作为样本,设置前向与后向共八个事件窗口,定量考察土地市场价格信号对股票市场的影响。实证结果表明：土地市场与股票市场是两个高度关联的市场,两个市场之间存在信号传递作用,短期内具有正向冲击效应,地价信号在土地出让后能够在短期内影响股票收益率,形成对股票价格的短期冲击效应;土地出让价格信号对股票市场的影响具有时间上的不对称性,地价信号对于股票收益率的影响主要发生在土地成交之后,股票市场对于土地竞拍以前的信息没有明显响应;土地市场所发现的价格信号是关联市场价格波动的信号源,改变竞价人的预期是市场稳定的关键。     

Random walks,cointegration, and the transmission of shocks across global real estate and equity markets

This article presents tests of the random walk hypothesis for the U.S. and world commercial real estate markets along with the world stock market through utilizing appropriate market indices. The augmented Dickey-Fuller and Phillips-Perron unit root tests and Cochrane variance ratio test find each of these markets to exhibit random walk behavior. In addition, Johansen-Juselius cointegration tests reveal that the three markets are not cointegrated. The vector autoregressive model shows little or no predictive power in explaining the variation in monthly returns. The generalized impulse response functions suggest that shocks stemming from one market are quickly disseminated to the other markets within two months. (JEL G14, G15)     

Inflation, output, and stock prices: Evidence from two major emerging markets

Research in economics and finance documents a puzzling negative relationship between stock returns and inflation rates in markets of industrialized economies. The present study investigates this relationship for Korea and Mexico. We show that the negative relationship between the real stock returns and unexpected inflation persists after purging inflation of the effects of the real economic activity. Johansen and Juselius cointegration tests verify that the long-run equilibrium between stock prices and general price levels is weak. However, in both economies, stock prices and general price levels seem to show a strong long-run equilibrium with the real economic activity. This paper benefited from the constructive suggestions of an anonymous referee. The remaining errors are the authors’ responsibility. Financial support from the Dr. Robert B. Pamplin, Jr., School of Business Administration, University of Portland, is greatly appreciated.     

Commodity house prices

This paper studies how commodity price movements have affected the local house prices in commodity-dependent economies, Australia and New Zealand. We build a geographically hierarchical empirical model and find that the commodity prices influence local house prices directly and also indirectly through macroeconomic variables. The impacts of commodity price changes are analogous to “income shocks” rather than “cost shocks”. Regional heterogeneity is also observed in terms of differential dynamic responses of local house prices to energy versus non-energy commodity price movements. The results are robust to alternative approaches. Directions for future research are also discussed.     

Spillovers and directional predictability between international energy commodities and their implications for optimal portfolio and hedging

This study sheds a new light on the dependence and the directional predictability between eight major energy price returns, using the Cross-Quantilogram (CQ) and the Partial CQ (PCQ) analysis. The energy prices cover the time series for the U.S. natural gas and seven internationally traded crude oil types. The results reveal a significant directional predictability running from most of energy commodities returns to the OPEC basket and the very light Tapis crude oil returns. However, the quantile predictability in both directions is enabled only for the relations between the light Brent and the light WTI, and between the OPEC basket and the Malaysian Tapis. The time-varying predictability analysis reveals that there is a significant upper quantile dependence between these international energy commodities. Finally, we find that the TAPIS can be a good hedging vehicle for other energy markets. These findings may be instructive for both policymakers (in terms of financial stability) and market participants (in terms of performance).     

What Drives Oil Prices? Emerging Versus Developed Economies

We explore the role of demand from emerging and developed economies as drivers of the real price of oil. Using a FAVAR model that identifies shocks from different regions of the world, we find that demand from emerging economies (most notably from Asian countries) is more than twice as important as demand from developed countries in accounting for the fluctuations in the real oil price and in oil production. Furthermore, geographical regions respond differently to adverse oil market shocks that drive up oil prices, with Europe and North America being more negatively affected than countries in Asia and South America. Copyright © 2014 John Wiley & Sons, Ltd.     

Forecasting stock prices with commodity prices: New evidence from Feasible Quasi Generalized Least Squares (FQGLS) with non-linearities

The complexities in modern stock markets make it imperative to unravel the possible predictors of their future values. This paper thus provides insights into the predictability of stock prices of the BRICS countries with large dependence on commodities either for foreign exchange earnings or industrial while accounting for the role of asymmetries. Essentially, empirical evidence abound for the high volatility in world commodity markets, thus making us to determine if positive and negative changes in commodity prices predict stock prices differently. In addition, unlike the traditional forecast models, our choice of forecast models additionally addresses certain statistical features, including conditional heteroskedasticity, serial dependence, persistence and endogeneity, inherent in the predictors, which have the potential of causing estimation bias. In all, we find evidence in favour of the ability of commodity prices to predict stock prices of Brazil, Russia and South Africa. Also, both the in-sample and out-of-sample forecast performances of the predicted models support asymmetries in a number of commodity prices in each of these three countries. Our results are robust to different data samples and forecast horizons.     

A quantile-copula approach to dependence between financial assets

This article unveils the dependence structure between United States stock prices, crude oil prices, exchange rates, and U.S. interest rates. In particular, we employ linear and nonlinear estimation methods, such as quantile regression and the quantile-copula approach. Over the 1998–2017 period, we find that there is a positive relationship between the dollar value and the S&P 500 stock price, with the exception of the lower and upper tails of the stock return distribution. Further evidence is obtained on the dependence structure between other asset returns. The stock returns are negatively related to oil prices but positively to U.S. interest rates. Our results highlight the way that financial assets are linked, which have implications for risk management and monetary policy.     

Inflation,output and stock prices: evidence from Latin America

Research in economics and finance documents a puzzling negative relationship between stock returns and inflation rate in markets of industrialized economies. The present study investigates this relationship for the developing markets of Peru and Chile. Fama's model of linkages between inflation and real economic activity constitutes the theoretical framework of this paper. The study tests whether the negative relationship between equity returns and inflation is a result of a ‘proxy effect’, namely, a negative relationship between inflation and real economic activity. The evidence for Peru and Chile does not provide strong support for Fama's hypothesis. It is shown that the negative relationship between the real stock returns and unexpected inflation persists after purging inflation of the effects of the real economic activity. The long‐run equilibrium between stock prices and general price levels is weak, as indicated by the findings of the Johansen and Juselius co‐integration tests. However, in both economies, stock prices and general price levels seem to show a strong long‐run equilibrium with the real economic activity. These findings suggest that in the long‐run, Fama's propositions A and B are supported for Peru and Chile. The disparity between traditional regression and co‐integration test results suggest that it may be prudent to re‐examine the proxy effect in the framework of a long‐run relationship before denying its validity. Copyright © 1999 John Wiley & Sons, Ltd.     

Monetary policy implications of housing shift-contagion across regional markets

This paper extends the shift-contagion concept to housing price returns in order to examine co-movements between pairs of regional housing markets in the US. It associates nonlinearities of housing prices with the monetary policy criteria at disaggregate levels. The framework with Markov-switching volatility in Gravelle et al. (Journal of International Economics 68:409–423, 2006) is utilized to investigate housing contagion phenomena which are defined as the switches in the structural transmission of common shocks across regional housing markets. The empirical results suggest that interactions between regional and nationwide housing markets switch across low-volatility and high-volatility regimes of common shocks for the Northeast and the West whose housing price returns are nonlinear. In addition, there is the significantly time-varying interdependence between the West and each of the other three regional housing markets. The estimated indicator of the monetary policy effectiveness implies that monetary policies can be effective in the Northeast and the West because they are more closely linked with other regional housing markets in volatile phases which are subject to housing crises. Noticeably, the broken interrelationships between regional housing markets and real economies in the 2001 recession imply high vulnerability to housing bubbles for regional markets, while short-term monetary policies can be effective in stabilizing the housing market turmoil around 2007.     

Monetary policy and stock prices in small open economies: Empirical evidence for the new EU member states

This study presents evidence on the effect of domestic and Euro Area monetary policy on stock prices in four new EU member states of Central Europe and the main determinants of stock price volatility, estimating structural vector autoregressive models identified with short-run restrictions. We find that stock prices in the considered new EU member states are more sensitive to changes in the Euro Area interest rate than to the domestic one. Moreover, the bulk of stock price volatility in these countries is due to shocks related to exchange rate and Euro Area monetary policy. Overall, we find that local stock markets are more sensitive to external shocks than to domestic ones.     

The daily relationship between U.S. asset prices and stock prices of American countries

The daily transmission of U.S. comprehensive stock indices to foreign stock markets has been studied extensively, but the transmission may just be that the foreign stock prices respond to news underlying the change in the U.S. stock indices. Besides the regularly economic announcements, news relevant for the U.S. economy may include qualitative news and non-economic events. Due the daily nature of the news, there is no appropriate reference as to its impact on the U.S. or foreign economy and the only accessible reference probably is the change in the financial asset prices. But the U.S. stock index is general in nature and cannot be used to offer specific information about the U.S. economy. Some U.S. asset prices other than stock indices may reveal more specific information about the U.S. economy. Looking into the daily relationship between these U.S. asset prices and stock indices of four American countries in two periods with drastically different economic conditions, this study finds that the daily relationship between these U.S. asset prices and foreign stock prices is consistent with the prevailing U.S. economic fundamentals. From the relationship we identify some U.S. economic conditions foreign stock prices respond to. These economic conditions include real economic shocks, monetary policies, and business default risks.     

Commodity market reform in Africa: some recent experience

Since the early 1980s, dramatic changes in export commodity markets, shocks associated with resulting price declines and changing views on the role of the state have ushered in widespread reforms to agricultural commodity markets in Africa. The reforms significantly reduced government participation in the marketing and pricing of commodities. This paper examines the background, causes, process and consequences of these reforms and derives lessons for successful reforms from experiences in markets for four commodities important to Africa—cocoa, coffee, cotton, and sugar. The commodity focus of the paper highlights the special features associated with these markets that affect the reform process. The paper complements the current literature on market reforms in Africa, where grain market studies are more common. We suggest that the types of market interventions prior to reform are more easily classified by crop than by country. Consequently, there are significant commodity-specific differences in the initial conditions and in the outcomes of reforms related to these markets. However, there are general lessons as well. We find that the key consequences of reform have been significant changes in or emergence of marketing institutions, and a significant shift of political and economic power from public to private sector. In cases where interventions were greatest and reforms most complete, producers have benefited from receiving a larger share of export prices. Additionally, we conclude that the adjustment costs of reform can be reduced in most cases by better understanding the detailed and idiosyncratic relationships between the commodity subsector, private markets, and public services. Finally, while there are significant costs to market-dependent reforms, experiences suggest that they are a necessary step toward a dynamic commodity sector based on private initiative. Indeed, this is particularly true in countries and sectors where interventions were greatest and market-supporting institutions the weakest.     

Time-frequency effect of crude oil and exchange rates on stock markets in BRICS countries: Evidence from wavelet quantile regression analysis

This study examines the effects of oil prices and exchange rates on stock market returns in BRICS countries (Brazil, Russia, China, India and South Africa) from a time–frequency perspective over the period 2009–2020. We use wavelet decomposition series to develop a threshold rolling window quantile regression to detect time–frequency effects at various scales. The empirical results are as follows. First, our findings confirm that the effects of both crude oil prices and exchange rates on BRICS stock returns are asymmetric. Positive shocks of crude oil have a greater impact on a bull market, whereas negative shocks have a greater impact on a bear market. Second, there is a short-term enhancement effect of crude oil and exchange rate on BRICS stock markets. In addition, volatility in the macro financial environment also exacerbates the impacts of oil prices and exchange rates on the stock market, and these fluctuations are heterogeneous. Overall, these findings provide useful insights for international investors and policy makers.     

The asymmetric effect of crude oil prices on stock prices in major international financial markets

The aim of this paper is to explore the potential asymmetric impacts of positive and negative shocks in crude oil prices on stock prices in six major international financial markets which include China, Hong Kong, America, Japan, Britain, and Germany. We test for these asymmetric effects on 8 major international financial markets indices over the 2007M01–2020M03 periods. Our independent measures include the prices of Brent crude oil futures and West Texas Intermediate (WTI) futures. We use the nonlinear ARDL (NARDL) model proposed by Shin et al. (2014), which can capture both short- and long-run nonlinearities through positive and negative partial sum decompositions of the explanatory variables. This research finds that positive and negative fluctuations of oil price have asymmetric effects on stock price index in four financial markets, but the performance of the asymmetry is different. Specifically, the impacts of volatility in oil prices on two indices of Chinese stock prices are different, and the asymmetric effects of oil price volatility on stock price indices in China and other financial markets are significantly different.