协整向量、调节参数同为非线性的阈值协整检验

针对经济变量的长期均衡和短期调节关系可能同时存在非线性的事实,本文扩展现有阈值协整模型,提出了协整向量、调节参数都为非线性的阈值协整模型,并着重探讨了该模型的检验方法。研究表明,在协整关系的检验中,Wald统计量有较好的有限样本性质。在协整关系的非线性检验中,LMW和LMG统计量的水平扭曲和检验势都较好。在调节参数的非线性检验中,当调节参数具有显著的非线性时,LMH统计量表现出较好的有限样本性质。     

Generalized long memory processes,failure of cointegration tests and exchange rate dynamics

This paper presents evidence that the equilibrium relationship in a system of nominal exchange rates is best described as a stationary GARMA process. The implementation of the GARMA methodology helps explain conflicting and puzzling results from the use of linear cointegration and fractional cointegration methods. Furthermore, we use Monte Carlo analysis to document problems with standard cointegration tests when the attraction process is distributed as a long memory GARMA process. Copyright © 2006 John Wiley & Sons, Ltd.     

A fractional cointegration analysis of Fisher hypothesis: evidence from Turkey

This paper examines the validity of Fisher hypothesis in Turkey over the period from 1990:01 through 2010:03 by using cointegration and fractional cointegration approaches. The findings from Engle and Granger cointegration test indicate that inflation and nominal interest rate series are cointegrated. Since the conventional cointegration tests do not provide strong evidence on the long run relationship, we also use fractional cointegration definition suggested by Cheung and Lai (J Bus Econ Stat 11:103–112, 1993) which requires only a mean reverting (d < 1) relationship between the series. The results from fractional cointegration tests based on GPH and Robinson methods show that inflation and nominal interest rate series are fractionally cointegrated. These findings support the validity of the Fisher hypothesis in Turkey.     

分形市场中的汇率协整关系

本文将混沌与分形运用到汇率研究中,运用R/S方法研究了外汇收益率的长记忆性,并将传统的协整理论推广到广义的分数维协整,研究了时间序列之间的长期均衡关系,并以外汇市场中的欧元和新加坡元兑美元的汇率为例进行了实证分析,指出这两种货币收益率服从分形分布,具有相同的分整阶数且二者存在分数维协整关系。     

On the cointegration of international stock indices

This paper investigates the cointegration relationship among a group of international stock indices in light of new developments of econometric methods. Kasa (1992) first documented strong evidence for cointegration relations among five national stock indices, which suggests that there exists a common trend among those stock indices. Using Johansen multivariate cointegration test, we find that his findings are persistent in a sample of longer periods and more countries. In order to investigate whether these results are driven by statistical biases related to the sample size, we apply to our tests the Johansen’s small sample correction factor. The results still point toward the existence of a cointegration relationship but the evidence becomes much weaker. We next examine the empirical patterns emerged from different lag specifications and argue that Kasa’s findings are more likely due to the size distortion in extreme long lag VAR models. Indeed, when we employ a newly developed non-parametric test that does not require estimation VAR models, the null hypothesis of no cointegration cannot be rejected for the original sample of Kasa’s five-country stock indices from 1974 to 1990, nor for the extended period from 1970 to 2003.     

山东省经济增长与外国直接投资之间的实证分析

本文应用Granger因果关系检验法和协整关系检验,研究了1984-2002年山东省经济增长与外国直接投资之间的关系。研究结果表明,山东省的经济增长与外国直接投资增长之间既不具有双向的Granger因果关系,也不存在长期稳定的协整关系。     

A Long-Term Analysis of Regional Housing Markets and Inflation

This paper reexamines the relationship between inflation and residential property over a 30-year period. Using conventional OLS models and cointegration and causality models we examine regional markets in the United Kingdom. The OLS tests provide little evidence of a consistent and stable relationship, with large variations in the results between different regions. The cointegration results, and in particular those obtained using the Engle-Granger procedure, provide strong evidence to support the hypothesis that housing and inflation are cointegrated. Additionally, the causality results provide strong evidence to support the hypothesis that housing leads inflation.     

Micro versus macro cointegration in heterogeneous panels

We consider the issue of cross-sectional aggregation in nonstationary and heterogeneous panels where each unit cointegrates. We derive asymptotic properties of the aggregate estimate, and necessary and sufficient conditions for cointegration to hold in the aggregate relationship. We then analyze the case when cointegration does not carry through the aggregation process, and we investigate whether the violation of the formal conditions for perfect aggregation can still lead to an aggregate equation that is observationally equivalent to a cointegrated relationship. We derive a measure of the degree of noncointegration of the aggregate relationship and we explore its asymptotic properties. We propose a valid bootstrap approximation of the test. A Monte Carlo exercise evaluates size and power properties of the bootstrap test.     

Is the liberalization policy effective on improving bivariate cointegration of current accounts, foreign exchange, stock prices? Further evidence from Asian markets

This paper fist examines three set of bivariate cointegrations between any two of current accounts, stock markets, and currency exchange markets in 10 Asian countries. Furthermore, this work examined the effect of country characters on this bivariate cointegration. Our findings suggest that for three sets of cointegration test, each sample country at least exists one cointegration. India consistently exhibited a bi-directional causal relationship between any two of three indicators. Unlike Pan et al. (Int Rev Econ Financ 16:503–520, 2007 and Phylaktis and Ravazzolo (J Int Money Financ 24:1031–1053, 2005), this study found that such cointegration is influenced by three characteristics: capital control; flexibility in foreign exchange rates; and the ratio of trade to GDP. These characteristics are the result of liberalization in each Asian country. This implies that liberalization policies are effective on improving the cointegration between any two of financial markets and current account for 10 Asian countries.     

Minimum wage is efficient wage in Turkish labor market: TAR–cointegration analysis

This study has two main purposes. First one is the necessity of taking minimum wages into account, if there is a purpose to analyze the relationship between wages and productivity in an economy which has high unemployment rates and informal employment. Second one is about the analyzing method of this relationship. We choose TAR cointegration analysis for this relation. First step of this analysis is testing for stationarity of the variables. However the low power of traditional unit root tests is examined and proved in many studies but not taken into account in TAR cointegration studies in literature. This study shows that traditional unit root tests are unfavorable for the variables which have TAR structures. Because of this shortcoming of traditional unit root tests, these results must be supported with TAR unit root tests.     

Multiple Testing for No Cointegration under Nonstationary Volatility

With cointegration tests often being oversized under time‐varying error variance, it is possible, if not likely, to confuse error variance non‐stationarity with cointegration. This paper takes an instrumental variable (IV) approach to establish individual‐unit test statistics for no cointegration that are robust to variance non‐stationarity. The sign of a fitted departure from long‐run equilibrium is used as an instrument when estimating an error‐correction model. The resulting IV‐based test is shown to follow a chi‐square limiting null distribution irrespective of the variance pattern of the data‐generating process. In spite of this, the test proposed here has, unlike previous work relying on instrumental variables, competitive local power against sequences of local alternatives in 1/T‐neighbourhoods of the null. The standard limiting null distribution motivates, using the single‐unit tests in a multiple testing approach for cointegration in multi‐country data sets by combining P‐values from individual units. Simulations suggest good performance of the single‐unit and multiple testing procedures under various plausible designs of cross‐sectional correlation and cross‐unit cointegration in the data. An application to the equilibrium relationship between short‐ and long‐term interest rates illustrates the dramatic differences between results of robust and non‐robust tests.     

吉林省民营外贸企业对外贸易与经济增长的相关性的实证分析

我国政府从1999年开始,先后多次放开了民营企业对外贸易方面的限制,为民营企业创造了更为透明和公正的经营空间。吉林省各级地方政府已经开始高度重视民营企业的发展。吉林省民营企业的进出口贸易与经济增长之间有着非常密切的关系。通过使用协整分析、格兰杰因果检验等计量经济学分析方法对吉林省2004年一季度至2008年第三季度数据进行检验,可以证明吉林省民营企业对外贸易与经济增长之间存在协整关系,格兰杰因果检验也表明吉林省民营企业进出口与经济增长之间存在因果关系。因此,高度重视吉林省民营企业的发展,对推动吉林省经济振兴具有十分重要的指导作用。     

A Wald test for the cointegration rank in nonstationary fractional systems

This paper develops new methods for determining the cointegration rank in a nonstationary fractionally integrated system, extending univariate optimal methods for testing the degree of integration. We propose a simple Wald test based on the singular value decomposition of the unrestricted estimate of the long run multiplier matrix. When the “strength” of the cointegrating relationship is less than 1/2, the test statistic has a standard asymptotic distribution, like Lagrange Multiplier tests exploiting local properties. We consider the behavior of our test under estimation of short run parameters and local alternatives. We compare our procedure with other cointegration tests based on different principles and find that the new method has better properties in a range of situations by using information on the alternative obtained through a preliminary estimate of the cointegration strength.     

基于VAR模型的港口与临港城市经济增长协整关系研究

运用Jonhansen协整检验和Granger因果检验等计量经济方法,选取连云港港1988-2007年货物吞吐量和第一、二、三产业的GDP数据为样本,从第一、二、三产业分别考察连云港港与城市经济增长的关系。实证结果表明,连云港市第一、二、三产业增长与港口货物吞吐量之间存在长期协整关系,在短期内,第一产业增长和第二产业增长与所对应的港口货物吞吐量之间存在双向因果关系,第三产业港口货物吞吐量是第三产业增长的Granger原因,反之这种关系不成立。     

Forecasting using a periodic transfer function: with an application to the UK price of ferrous scrap

The familiar concept of cointegration enables us to determine whether or not there is a long-run relationship between two integrated time series. However, this may not capture short-run effects such as seasonality. Two series which display different seasonal effects can still be cointegrated. Seasonality may arise independently of the long-run relationship between two time series or, indeed, the long-run relationship may itself be seasonal. The market for recycled ferrous scrap displays these features: the US and UK scrap prices are cointegrated, yet the local markets exhibit different forms of seasonality. The paper addresses the problem of using both cointegrating and seasonal relationships in forecasting time series through the use of periodic transfer function models. We consider the problems of testing for cointegration between series with differing seasonal patterns and develop a periodic transfer function model for the US and UK scrap markets. Forecast comparisons with other time series models suggest that forecasting efficiency may be improved by allowing for periodicity but that such improvement is by no means guaranteed. The correct specification of the periodic component of the model is critical for forecast accuracy.     

不同经济发展水平区域物流与经济增长的协整关系研究

根据协整检验和因果关系检验等计量方法,利用中国各省1991～2007年物流发展水平和国内生产总值的年度数据,将31个省(市、自治区)按经济密集度不同分成三大类地区,并对其物流和经济增长的关系分析进行了实证分析。实证结果表明:三个区域的物流与经济增长均存在协整关系,发达的一类地区两个变量存在双向Granger因果关系,而后两类地区两个变量仅存在单向的Granger原因。     

Cointegration and the optimal hedge ratio: the general case

This note evaluates the effects of omitted cointegration relationship between spot and futures prices on optimal hedge ratio and hedging effectiveness. It is found that the omission tends to produce a smaller hedge ratio. However, the loss of hedging effectiveness may be minimal.     

河南省区域物流与GDP增长的协整与因果关系分析

对河南省1978～2006年区域物流与GDP增长进行了协整分析与因果关系检验。研究结论表明,河南省区域物流与GDP之间存在着长期的稳定关系,GDP的变化是引起区域物流变化的原因,且GDP对区域物流的长期正向拉动更为显著。     

山西省房地产投资与经济增长的协整分析

结合山西省房地产业与国民经济的发展状况,采用1990~2012年的数据对山西省的房地产投资与经济增长的关系进行了协整分析和Granger因果检验。经过协整分析得出房地产投资与经济增长有长期稳定的均衡关系,同时发现房地产投资是经济增长的Granger原因。