Are exchange rates less important for trade in a more globalized world? Evidence for the new EU members

We evaluate the effect of exchange rate misalignments on the balance of trade and the role that global value chain participation plays in this effect for 11 new European Union member states. Using heterogeneous panel cointegration methods, we first estimate the real equilibrium exchange rate and detect episodes of currency misalignment. We find asymmetric effects of real currency misalignments: overvaluation has a negative effect, but undervaluation has no effect on the trade balance. Additionally, we find that global value chain participation weakens the effect of currency misalignments on the balance of trade. Therefore, our results suggest that globalization reduces the role of exchange rates in stimulating the domestic economy.     

Multilateral adjustment,regime switching and real exchange rate dynamics

The purpose of this paper is to examine the role of multilateral adjustment to U.S. external imbalances in driving bilateral real exchange rate movements by developing a new regime-switching model that consists of a Markov-switching model with a time-varying transition matrix that depends on a threshold variable. Consequently, the dynamics of the real exchange rate can be modeled in the context of two regimes: one in which multilateral adjustment to large U.S. external imbalances is an important factor driving movements in the real exchange rate and the second in which the real exchange rate is driven mainly by country-specific macroeconomic fundamentals. We apply this model to the bilateral real Canada–U.S. dollar exchange rate and compare its performance to several other alternative models. All of the models are estimated using a Bayesian approach. Our findings suggest that during periods of large U.S. imbalances, an exchange rate model for the real Canada–U.S. dollar exchange rate should allow for multilateral adjustment effects.     

Modeling tourism: A fully identified VECM approach

System-based cointegration methods have become popular tools for economic analysis and forecasting. However, the identification of structural relationships is often problematic. Using a theory-directed sequential reduction method suggested by Hall, Henry and Greenslade [Hall, S. G., Henry, S., & Greenslade, J. (2002). On the identification of cointegrated systems in small samples: A modelling strategy with an application to UK wages and prices. Journal of Economic Dynamics and Control, 26, 1517–1537], we estimate a vector error correction model of Hawaii tourism, where both demand and supply-side influences are important. We identify reasonable long-run equilibrium relationships, and Diebold–Mariano tests for forecast accuracy demonstrate satisfactory forecasting performance.     

金融发展、财政投入与城镇化

本文利用1952-2009年全国数据,借助向量误差修正模型,分析了金融发展、财政投入对城镇化的影响.结果表明,短期内财政投入对城镇化的影响显著,而金融发展对城镇化的影响不显著;长期来看,三者之间存在均衡关系,金融发展效率、财政投入对城镇化都有显著影响,而且金融发展对城镇化的贡献更大.     

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。     

Forecasting exchange rates with elliptically symmetric principal components

We extract elliptically symmetric principal components from a panel of 17 OECD exchange rates and use the deviations from the components to forecast future exchange rate movements, following the method in Engel et al. (2015). Instead of using standard factor models, we apply elliptically symmetric principal component analysis (ESPCA), introduced by Solat and Spanos (2018), which captures both contemporaneous and temporal co-variation among the exchange rates. We find that ESPCA is more accurate than forecasts generated by existing standard methods and the random walk model, with or without including macroeconomic fundamentals.     

A macroeconomic analysis of foreign assets and foreign liabilities

Although an increase in foreign assets and a decrease in foreign liabilities both increase a nation’s net foreign assets (NFA), they have alternative macroeconomic transmission mechanisms: while an increase in foreign assets is expansionary, the effect of a decrease in foreign liabilities is mixed due to the asymmetry between its income effect and wealth effect on aggregate demand. It is the relative strengths of the NFA’s wealth effect and income effect that determine the existence and natures of a saddle-point equilibrium in the NFA-real balance space as well as its comparative statics. The cointegration analysis suggests that in the 1990s, foreign liabilities bear more weight than foreign assets in the US NFA movement whereas the opposite holds for the case of Japan; therefore, correcting NFA imbalances calls for accelerated money growth and fiscal expenditure pruning in the U.S. but for the opposite policy responses in Japan.

Forecasting levels of log variables in vector autoregressions

Sometimes forecasts of the original variable are of interest, even though a variable appears in logarithms (logs) in a system of time series. In that case, converting the forecast for the log of the variable to a naïve forecast of the original variable by simply applying the exponential transformation is not theoretically optimal. A simple expression for the optimal forecast under normality assumptions is derived. However, despite its theoretical advantages, the optimal forecast is shown to be inferior to the naïve forecast if specification and estimation uncertainty are taken into account. Hence, in practice, using the exponential of the log forecast is preferable to using the optimal forecast.     

甘肃省电力需求的协整与误差修正分析

以甘肃省1978-2012年数据为例,采用协整与误差修正模型技术研究了甘肃省电力需求的决定因素,建立了甘肃电力需求函数,检验了电力需求与国内生产总值、电力价格、经济结构、电力使用效率之间的长期均衡关系及短期波动关系。     

Measuring real–financial connectedness in the U.S. economy

We analyze the connectedness between the real and the financial sectors of the U.S. economy. Using the weekly ADS index of the Philadelphia Fed (the widely used business conditions indicator) to represent the real side, we find that during times of financial distress and business cycle turning points, the direction of connectedness runs from the real sector to financial markets. The ADS index is derived from a model containing a measure of term structure along with real variables. Therefore, it might not be the best representative of the real activity used in the connectedness analysis. As an alternative, we derive a real activity index (RAI) from a dynamic factor model of the real sector variables only. The behavior of RAI over time is quite similar to that of the ADS index. When we include RAI to represent the real side, connectedness from the real side to financial markets weakens substantially, while the connectedness from financial markets to the real side becomes more pronounced.     

物流和经济增长的协整关系分析

利用1953～2004年的年度数据,采用协整分析技术,误差修正模型和Granger因果关系检验等方法,检验了中国物流量和GDP增量之间的关系。结果表明:我国物流水平的提高有助于经济增长的提高,两者之间存在长期的均衡关系。     

住房价格与消费支出关系研究——香港房地产财富效应实证检验

本文利用香港比较完整的房价、消费和薪金数据,运用误差纠正模型分析了房价与消费之间的关系。实证结果反映了香港地区（1982年—2006年）消费与房地产价格之间的长期均衡及短期动态关系,同时也为内地房地产的健康发展提供了一些启示。     

江苏经济增长与港口物流发展的关系——基于误差修正模型的实证分析

本文利用江苏省1990-2010年的数据,采用协整分析,格兰杰因果检验的计量方法对江苏省经济增长与港口物流发展的关系进行分析,并根据格兰杰定理建立了两者之间的误差修正模型。揭示了江苏省港口物流与江苏经济增长之间的长期关系和短期动态关系。     

经济转型下的外商直接投资、国内资本与经济增长——基于中国时间序列数据的计量检验与实证分析

经济转型背景下,中国经济持续增长的一个重要原因是引入外商直接投资。本文对1985年-2010年中国外商直接投资、国内投资与经济增长的总量时间序列数据进行了实证分析。结果表明:FDI与国内资本对我国的经济增长的影响显著,都是GDP的格兰杰原因,与经济增长存在长期均衡关系;但FDI对经济增长的影响小于国内资本,并且FDI与国内资本还存在相互挤入效应。