Cointegration networks in stock markets

We use a novel approach based on a combination of network and cointegration analysis to examine linkages between stock markets across market cycles. Our results show that long-run linkages are likely to be global rather than regional and that market turbulence increases linkages. However, we find no widespread common stochastic trends between markets and neither are we able to draw a conclusion that major financial markets display influences network linkages.     

LM cointegration tests allowing for an unknown number of breaks: implications for the forward rate unbiasedness hypothesis

This article extends the Lagrange multiplier (LM) cointegration test proposed by Westerlund and Edgerton (WE 2007) by allowing for an unknown number of breaks. Monte Carlo simulations provide two main results. First, a loss of power in the LM cointegration tests is detected when potential multiple breaks are ignored. Second, the modified testing procedures do not affect the asymptotic distribution and major properties of the tests of WE under the null, but noticeably increase their testing power in presence of multiple breaks. We also provide empirical applications of the proposed tests for the forward rate unbiasedness hypothesis (FRUH). The results reveal that the FRUH does hold when the effects of the multiple structural breaks are taken into account.     

FDI与中国二元经济结构演化——一个动态实证分析的考量

FDI理论和二元经济结构理论一直以来都是国内外主流经济学者研究的热点问题。但是从理论上和实证角度把二者结合起来研究的文献并不多见。为此,本文首先从古典增长理论模型出发,论述FDI对我国二元经济结构演化的影响,理论模型研究表明,FDI在促进中国经济非农化的过程中有可能加大了农业与非农业的技术与就业差距,从而加深了二元经济程度。然后重点从实证角度、运用统计分析和因果关系检验、协整检验及修正误差模型检验等计量分析手段深入研究和检验二者的长期与短期动态均衡关系。研究结果表明,FDI在促进中国经济非农化和工业化的同时,在一定程度上却加剧了中国的二元经济程度。对此,本文在最后强调应该加大对FDI的产业调整力度、规范其投资流向,同时建立一套长效机制,实现农村生产要素的市场化与整合,充分挖掘FDI在转变农业生产方式方面的潜在作用,缩小农业与城市部门生产效率的差距。     

Quantile cointegrating regression

Quantile regression has important applications in risk management, portfolio optimization, and asset pricing. The current paper studies estimation, inference and financial applications of quantile regression with cointegrated time series. In addition, a new cointegration model with quantile-varying coefficients is proposed. In the proposed model, the value of cointegrating coefficients may be affected by the shocks and thus may vary over the innovation quantile. The proposed model may be viewed as a stochastic cointegration model which includes the conventional cointegration model as a special case. It also provides a useful complement to cointegration models with (G)ARCH effects. Asymptotic properties of the proposed model and limiting distribution of the cointegrating regression quantiles are derived. In the presence of endogenous regressors, fully-modified quantile regression estimators and augmented quantile cointegrating regression are proposed to remove the second order bias and nuisance parameters. Regression Wald tests are constructed based on the fully modified quantile regression estimators. An empirical application to stock index data highlights the potential of the proposed method.     

The Stability of the Demand for Money in Monetary Unions: Some Empirical Evidence from WAEMU

Previous studies of the stability of the demand for money have been largely conducted in the context of individual countries. To the extent that these countries have control over their monetary policies, such an approach is well justified. However, for monetary unions, where the control over monetary policy is usually vested in a central or outside authority, it is more appropriate to examine the stability of the money demand for the union as a collective entity. This paper follows this approach with respect to a West African monetary union, the WAEMU, whose monetary policies are largely dictated by the French authorities. Using cointegration theory and CUSUM stability tests, we find evidence that the demand for broad money is stable in this union. Given the empirical results, the paper draws inferences regarding their implications for the formulation of optimal monetary policy for the WAEMU.     

Quo vadis Euro?

This paper calculates the equilibrium exchange rates for the Euro and the rest of the G-7 currencies. Building on the methodology of Alberola et al., it is shown that the stock of net foreign assets and the evolution of productivity are the fundamentals underlying the behaviour of the real exchange rate. Panel cointegration techniques allow for the extraction, using an unobserved components methodology, of a time-varying equilibrium real exchange rate, and deviations from this equilibrium provide an estimate of the degree of multilateral misalignment. Finally, an algebraic transformation converts these multilateral equilibrium real rates into bilateral equilibrium nominal rates. The results uncover that the Euro was slightly undervalued by the start of Stage III of EMU and that, despite a faint fall of its fundamentals since then, the slide during 1999 has widened the misalignment above 10% against other main currencies.     

Remittances in Mexico and their unobserved components

ABSTRACT

The present study aims to determine the common trends and the permanent and transitory components of remittances received by Mexican households. This is done by estimating a small Dynamic Factor Model (DFM), using the approach first proposed by Gonzalo and Granger [1995. “Estimation of Common Long-memory Components in Cointegrated Systems.” Journal of Business and Economic Statistics 13 (1): 27–35], determining the number of common trends subject to the cointegration results. The study also shows the similarities between this small DFM with respect to large DFM, which are widely used in the econometric literature. The results indicate the presence of one cointegration relationship. Consequently, there are four common trends. The cointegration relationship is negatively dominated by Mexico's economic activity and positively by the US industrial production. The effects of the exchange rate and the US unemployment rate are positive, but less relevant. This economic scenario leads to remittances exceeding its permanent component.     

Exchange rate volatility and United Kingdom trade: evidence from Canada,Japan and New Zealand

This paper investigates the influence of exchange rate volatility on the real imports of the United Kingdom from Canada, Japan and New Zealand during the period 1980–2003. The Johansen multivariate cointegration method and the constrained error correction (general-to-specific) method are applied to study the relationship between real imports and its determinants (including exchange rate volatility). Conditional variance from the GARCH(1,1) model is applied as exchange rate volatility. Both nominal and real exchange rates are employed in the empirical study. Results indicate a significant effect of the exchange rate volatility on real imports. These exchange rate volatility effects are mostly positive. The author thanks an anonymous referee, the editor and Myles Wallace for several useful comments and suggestions. Any remaining errors and omissions are the author’s responsibility alone.     

Exchange Rate Regime and Demand for Reserves: Evidence from Kenya,Mexico and Philippines

This paper empirically investigates the demand for international reserves (and foreign exchange reserves) during fixed and floating exchange rates periods in three developing countries: Kenya, Mexico and Philippines. Based on theoretical models, three factors are identified as important for the demand of international reserves and foreign reserves: average propensity to import, volume of imports and variability of reserves. The paper employs the cointegration methodology and error correction method to investigate the relationships. Cointegration tests results indicate a reliable long-run stationary relationship between the international reserves (and foreign exchange reserves) and the stated explanatory variables across countries and sub-periods of fixed and clean float. The error correction results indicate causality from the explanatory variables to the reserves during both the short and long run. This is true during both the fixed and the floating periods.

中国金融资产收益率与宏观经济相关性研究

基于Lamont设立的经济跟踪指标组合体系,选择1997年5月至2006年11月的数据构建了股市各项资产收益率与宏观经济指标之间的多元OLS回归模型(ETP)、向量自回归模型(VAR)、协整检验和向量误差修正模型(VEC),全面考察了我国股市资产收益率与宏观经济变量之间的互动关系。研究发现,OLS模型与VAR模型中资产收益率的回归系数大多不显著,虽然宏观变量和金融资产收益率存在长期均衡关系,但是这种均衡关系非常松散和不明朗。