Testing for linear and nonlinear granger causality in the stock price-volume relation: Korean evidence

In this paper, linear and nonlinear Granger causality tests are used to examine the dynamic relationship between daily Korean stock returns and trading volume. We find evidence of significant bidirectional linear and nonlinear causality between these two series. ARCH-ype models are used to examine whether the nonlinear causal relations can be explained by stock returns and volume serving as proxies for information flow in the stochastic process generating volume and stock returns respectively. After controlling for volatility persistent in both series and filtering for linear dependence, we find evidence of nonlinear bidirectional causality between stock returns and volume series. The finding of strong bidirectional stock price-volume causal relationships implies that knowledge of current trading volume improves the ability to forecast stock prices. This evidence is not supportive of the efficient market hypothesis. Another finding is that the nonlinear relationship is sensitive to institutional, organizational, and structural factors. The results of this study should be useful to regulators, practitioners and derivative market participants whose success precariously depends on the ability to forecast stock price movements.     

中国外汇储备和物价水平关系的实证分析

本文采用1994～2010年的年度数据,在单整和协整检验的基础上,利用Granger因果检验对中国外汇储备与物价水平的内在联系进行实证分析。结果表明,外汇储备变动和物价水平变动之间不存在格兰杰因果关系。因此.通过人民币升值来减少外汇储备并不是抑制国内通货膨胀的有效方法。     

The exchange value of the dollar and the U.S. trade balance: An empirical investigation based on cointegradon and Granger causality tests

This article performs tests of Granger causality in the relationships between the nominal ad real exchange rates of the dollar and the U.S. trade balance as well as its price and quantity components over the period 1973:IIQ–1989:IIIQ. Our results suggest: (i) weak statistical evidence of unidirectional causality running from the nominal exchange rate to import prices and nominal trade balance (ii) no statistical support for the proposition that the real exchange rate simply “accommodates” changes in the real trade balance, and (iii) strong (no) causal links between the nominal and real exchange rates and export (import) volume. We tentatively conclude that movements in the exchange rate have a rather limited effect on the trade balance and that this effect is more likely to materialize on the export side of the trade balance.     

钢材期货价格发现功能研究——基于印度市场信息共享模型的分析

本文借助Johansen协整检验、Granger因果检验、信息共享模型、方差分解等方法进行多层次实证研究,定量地刻画出期货市场在价格发现中作用的大小。研究结果显示：印度板材期货价格和现货价格之间存在长期均衡关系,在价格引导上仅存在现货对期货价格的单向引导关系,期货对现货没有引导关系;通过方差分解发现,现货市场在价格发现功能中处于主导地位,说明印度钢材期货市场效率有待提高,板材期货没有实现其应有的价格发现功能。     

Monetary effects on nominal oil prices

The paper presents a theory of nominal asset prices for competitively owned oil. Focusing on monetary effects, with flexible oil prices the US dollar oil price should follow the aggregate US price level. But with rigid nominal oil prices, the nominal oil price jumps proportionally to nominal interest rate increases. We find evidence for structural breaks in the nominal oil price that are used to illustrate the theory of oil price jumps. The evidence also indicates strong Granger causality of the oil price by US inflation as is consistent with the theory.     

Caught By Surprise?

Abstract

New social network technology (Web 2.0) provides individuals and small groups with powerful resources for rapid political mobilization. This can create strategic surprises to policy-makers. Two cases of Web 2.0 driven micro-mobilization processes are considered. In both cases, new network technology helped the process of issue-expansion on which the emergence of these strategic surprises is dependent. Policy-makers were taken by surprise because their repertoires of action are focused primarily on official arrangements of consultation and on the news coverage by traditional media. Policy-makers' capacities and resources are not attuned to the political use of network technology by citizens.     

The causality between dollar and pound: An application of cointegration and error-correction modeling

Applying Hsiao's version of the Granger causality method with the aid of cointegration and error-correcting modeling, this paper reexamines the causality between dollar and pound for the period 1951–94. The Phillips-Perron tests for unit roots and Johansen tests of cointegration are performed. The study finds a bidirectional causality between the U.S.-U.K. relative prices and exchange rates in the long run. This study therefore supports the PPP theory that exchange rates between dollar and pound adjust to reflect changes in the price levels of the two countries.     

Housing prices and transaction volume

We use annual, quarterly and monthly data from the US to show that the correlation between housing prices and transaction volume (number of existing houses sold) differs across different frequencies. While the correlation is high at the low frequencies it declines to the levels close to zero at high frequencies. Granger causality tests for different frequencies show that the way of causality in housing market changes from region to region. Our findings provide a litmus test for the existing theories that are proposed to explain the positive correlation between transaction volume and housing prices.     

Multi-scale interactions between economic policy uncertainty and oil prices in time-frequency domains

Dynamic interactions between policy uncertainty and economic activity, including oil prices, have attracted increasing amounts of scholarly interest, but few studies have considered the inherent feature that the entire market is composed of different stakeholders operating in different time horizons. To fill this gap and address this issue, this paper proposes a multi-scale correlation framework. Specifically, we use the wavelet coherence method and scale-by-scale linear Granger causality tests to explore the co-movement and causality of pairs of economic policy uncertainty indices of G7 countries, China, Brazil, and Russia and West Texas Intermediate (WTI) oil prices. Our results show that the interaction between economic policy uncertainty and oil prices in the short-term is weak but gradually strengthens towards the long-term, especially when significant historical political or financial events occurred. Moreover, a consistent conclusion is that the interaction is negative in the medium-term, while it is positive in the long-term. Further, Granger causality tests at different time-scales show that no Granger causality from economic policy uncertainty to oil prices exists in the short-term for all sample countries, except the US, while there is a strong unidirectional or bidirectional Granger causality for all researched countries in the medium- and the long-term.     

Price discovery in stock index: an ARDL-ECM approach in Taiwan case

In this study, we examine the lead-lag effect between stock index futures and its spot markets in Taiwan by employing a newly developed econometrics method, ARDL-ECM approach. The advantage of applying such technique is to avoid earlier ambiguous causality testing procedure, and it can provide more clearly representation of a stable unidirectional price discovery process. By verifying intraday data, we find that the futures prices lead spot markets for about 30 min during the year 2004. Moreover, during the presidential election period which caused political turbulent in Taiwan, the function of future market supposed as the dominated role of price discovery becomes futility. Such findings are consistent with the ‘surprising election outcomes’ phenomenon.     

When are prediction market prices most informative?

Prediction markets are a popular platform for the elicitation of incentivised crowd predictions. This paper examines the variation in the information contained in prediction market prices by studying Intrade prices on U.S. elections around the release of opinion polls. We find that poll releases stimulate an immediate uptick in trading activity. However, much of this activity involves relatively inexperienced traders, meaning that the price efficiency declines in the immediate aftermath of a poll release, and does not recover until more experienced traders enter the market in the following hours. More generally, this suggests that information releases do not necessarily improve prediction market forecasts, but instead may attract noise traders who temporarily reduce the price efficiency.     

Budget deficits and stock prices: International evidence

The purpose of this research is to provide empirical evidence regarding deficits and their effects on stock prices. We investigate whether changes in deficits cause changes in stock prices and if so, in what direction. We use Granger causality tests and impulse response analysis of vector autoregressive models to assess the relationship between budget deficits and stock prices in several industrialized nations. The evidence from impulse response analysis and Granger causality tests shows that only in the U.S. deficit reductions have an inverse effect on equity returns.     

鲜活农产品拍卖市场品类价格波动的相关性分析与检验

协整与Granger因果检验被广泛应用于宏观经济领域经济变量间的关系分析中,但是,将协整与Granger因果检验应用于企业微观市场结构经济变量之间的分析的文献还鲜见报道。论文选择昆明国际花卉拍卖市场2009年2月16日至2010年2月12日间玫瑰的交易数据,分析鲜活农产品拍卖市场品类价格波动的相关性及其影响。实证结果表明:价格与供货量存在长期的均衡关系,供货量是价格的内生变量;价格对滞后一期的供货量产生影响,供货量则影响滞后三期的价格;此外,价格对滞后三期的流拍率产生影响,但流拍率的变化不会对价格产生影响。     

Does the stock market really cause unemployment? A cross-country analysis

This study examines the relationship between the stock market and unemployment in 30 advanced and 11 developing and emerging countries. The results show that the unemployment rate and stock prices are cointegrated in all country groups; further, the causality between stock prices and unemployment appears in all country groups. Specifically, I found a particularly strong and one-way causal direction from stock prices to the unemployment rate in G7 countries. There is a strong bilateral causal relationship between stock prices and unemployment for other advanced countries. However, in the 11 developing and emerging countries, the causality test results indicate a strong Granger causality from unemployment to stock prices. The results for developing and emerging countries suggest that the unemployment rate can help forecast stock prices, but not vice versa. These findings complement existing studies and deliver useful implications for investors and policymakers, and suggest some new lines for future research.     

Linear and nonlinear dynamic relationships between housing prices and trading volumes

This study applied linear and nonlinear causality tests and estimation models to investigate the efficiency of housing prices and volumes in the United States and its four major regions. The results of this study confirm that housing volumes can function as a price-discovery indicator. According to the nonlinear volatility of housing prices, this study verified numerous hypotheses. Housing returns can also influence housing volume. The results of this study imply that housing price efficiency can vary based on market conditions. Consequently, estimating the behavior of housing prices through a linear model can result in underestimating the information reflected by housing returns.     

Granger因果关系检验应用中的若干问题

分析了实践中应用Granger因果关系检验存在的一些问题,如信息遗漏,变量变换改变因果关系的性质、变量单整性对检验程序的影响以及检验模型的选择等,并提出在线性投影上有初步证据的因果概念。进而,应用单整变量之间Granger因果关系的一般检验程序对1978~2013年我国货币供给量与价格水平、产出之间的Granger因果性重新进行检验。     

On economic uncertainty,stock market predictability and nonlinear spillover effects

This paper uses a k-th order nonparametric Granger causality test to analyze whether firm-level, economic policy and macroeconomic uncertainty indicators predict movements in real stock returns and their volatility. Linear Granger causality tests show that whilst economic policy and macroeconomic uncertainty indices can predict stock returns, firm-level uncertainty measures possess no predictability. However, given the existence of structural breaks and inherent nonlinearities in the series, we employ a nonparametric causality methodology, as linear modeling leads to misspecifications thus the results cannot be considered reliable. The nonparametric test reveals that in fact no predictability can be observed for the various measures of uncertainty i.e., firm-level, macroeconomic and economic policy uncertainty, vis-à-vis real stock returns. In turn, a profound causal predictability is demonstrated for the volatility series, with the exception of firm-level uncertainty. Overall our results not only emphasize the role of economic and firm-level uncertainty measures in predicting the volatility of stock returns, but also presage against using linear models which are likely to suffer from misspecification in the presence of parameter instability and nonlinear spillover effects.     

Dynamic modeling of regional house price diffusion in Taiwan

This paper examines the lead-lag relationships and the dynamic linkages among four regional house price indices in Taiwan. We employ the Johansen cointegration technique, Toda and Yamamoto’s Granger causality test, the generalized impulse response approach, and variance decomposition analysis to find out the extent and the magnitude of their relationships. The estimated long-run relationship between regional house prices appears to have remained stable throughout the sample period. Our empirical results show a bidirectional relationship between house prices in the most important economic center, Taipei City, and its suburban area, Taipei County. However, there are no causalities of house prices between Taipei City and other megacities in Taiwan. The mutual impacts of the shocks between house prices in Taipei City and Taipei County are significantly positive, while these impacts on Kaohsiung City, far from Taipei City, are insignificant. Finally, the results of the generalized impulse response approach indicate that the house prices indices of Taipei City are the most exogenous while those for Taipei County are the most endogenous.     

House Prices and Housing Investment in Sweden and the UK: Econometric Analysis for the Period 1970–1998

We estimate quarterly dynamic housing demand and investment supply models for Sweden and the UK for the sample period 1970–1998, using an Error Correction Method (ECM). To facilitate comparisons of results between Sweden and the UK we model both countries identically with approximately almost the similar type of exogenous variables. The long–run income elasticities for Sweden and the UK are constrained to be 1.0, respectively. The long–run semi–elasticity for interest rates are 2.1 and 0.9 for Sweden and the UK. The speed of adjustment on the demand side is 0.12 and 0.23, while on the supply side it is 0.06 and 0.48 for Sweden and the UK, respectively. Granger causality tests indicate that income Granger causes house prices for Sweden, while for the UK there is also feedback from house prices to income. House prices Granger cause financial wealth for Sweden, while for the UK it is vice–versa. House prices cause household debt for Sweden, while for the UK there is a feedback from debt. Interest rates Granger cause house prices for the UK and Sweden. In both countries Tobin's q Granger cause housing investment. Generally, the diagnostic tests indicate that the model specifications were satisfactory to the unknown data generating process.     

On the globalization of stock markets: An application of Vector Error Correction Model,Mutual Information and Singular Spectrum Analysis to the G7 countries

This paper analyzes stock market relationships among the G7 countries between 1973 and 2009 using three different approaches: (i) a linear approach based on cointegration, Vector Error Correction (VECM) and Granger Causality; (ii) a nonlinear approach based on Mutual Information and the Global Correlation Coefficient; and (iii) a nonlinear approach based on Singular Spectrum Analysis (SSA). While the cointegration tests are based on regression models and capture linearities in the data, Mutual Information and Singular Spectrum Analysis capture nonlinear relationships in a non-parametric way. The framework of this paper is based on the notion of market integration and uses stock market correlations and linkages both in price levels and returns. The main results show that significant co-movements occur among most of the G7 countries over the period analyzed and that Mutual Information and the Global Correlation Coefficient actually seem to provide more information about the market relationships than the Vector Error Correction Model and Granger Causality. However, unlike the latter, the direction of causality is difficult to distinguish in Mutual Information and the Global Correlation Coefficient. In this respect, the nonlinear Singular Spectrum Analysis technique displays several advantages, since it enabled us to capture nonlinear causality in both directions, while Granger Causality only captures causality in a linear way. The results also show that stock markets are closely linked both in terms of price levels and returns (as well as lagged returns) over the 36 years analyzed.