Are imports and remittances cointegrated for the Central and Eastern European countries?

In this article, we investigate the existence of long-run common trends between imports and remittances in 11 Central and Eastern European countries which are part of the European Union. Using the Engle–Granger two-step procedure, we determine that for all countries in our sample there are no long-run common trends (no cointegration) between imports and remittances. However, the results are mixed when running a Granger causality test. For nine countries, we can establish either a bidirectional or unidirectional Granger causality, indicating that past values of one variable have predictive content on the other variable. In two countries, there is no Granger causality between imports and remittances.     

COVID-19, stock market and sectoral contagion in US: a time-frequency analysis

We assess the conditional relationship in the time-frequency domain between the return on S&P 500 and confirmed cases and deaths by COVID-19 in Hubei, China, countries with record deaths and the world, for the period from January 29 to June 30, 2020. Methodologically, we follow Aguiar-Conraria et al. (2018), by using partial coherencies, phase-difference diagrams, and gains. We also perform a parametric test for Granger-causality in quantiles developed by Troster (2018). We find that short-term cycles of deaths in Italy in the first days of March, and soon afterwards, cycles of deaths in the world are able to lead out-of-phase US stock market. We find that low frequency cycles of the US market index in the first half of April are useful to anticipate in an anti-phasic way the cycles of deaths in the US. We also explore sectoral contagion, based on dissimilarities, Granger causality and partial coherencies between S&P sector indices. Our findings, such as the strategic role of the energy sector, which first reacted to the pandemic, or the evidence about predictability of the Telecom cycles, are useful to tell the history of the pass-through of this recent health crises across the sectors of the US economy.     

服务贸易对浙江经济增长影响的实证分析

本文实证检验了服务贸易对浙江GDP增长的影响,发现浙江服务贸易出口会促进经济增长,进口则会制约经济增长。而且出口、进口均是GDP增长的格兰杰原因。在尝试性地对这些结果进行相应解释的基础上,提出了发展服务贸易、促进浙江经济增长的建议。     

客户信用评级体系的校准度检验研究

利用多种统计量对客户信用评级体系进行校准度检验,以对其准确性做出定量评估。同时,使用这些统计量对由两种不同方法构造的信用评级进行了实证对比检验,结果表明,校准度检验能够对客户信用评级的准确性做出有效评估。     

The Structural Relation Between Mortgage and Market Interest Rates

This paper analyzes the dynamic relationship between primary and secondary mortgage markets and the short-term and long-term market interest rates. Using a series of monthly data on fixed rate mortgage rates and GNMA rates, we explore the dependence and speed of adjustment in these primary and secondary mortgage rates to each other as well as to the long and short-term government rates. The results indicate that residential mortgage rates in general, appear to follow the long-term rate and are not very sensitive to movements in the short-term interest rate.     

中国和新加坡产业内贸易与规模经济关系的协整分析

中国和新加坡产业内贸易与规模经济存在着一种长期的均衡关系,新加坡生产企业的规模经济对产业内贸易的推动作用大于中国,中国和新加坡生产企业的规模经济与产业内贸易存在单向因果关系,即规模经济促进产业内贸易.     

油品测试用规格仪器国产化回眸

指出规格仪器是油品测试方法标准化的基础，总结了油品测试用规格仪器国产化的过程，并对今后的发展方向加以分析。     

CEV模型的单位根检验研究

CEV模型（Constant Elasticity of Variance Model）作为常用的利率模型，在实证分析中得到了广泛运用，但是其单位根检验一直被忽略或者被默认可以使用迪基一富勒检验。本文首次运用Box—Cox变换的技巧，针对CEV模型的单位根检验问题，找到了合适的统计量并且证明其渐进分布存在，然后通过蒙特卡罗方法求出了该统计量的分布表。得到了在大样本的情形下可以沿用迪基一富勒检验，但在小样本的情形下与迪基一富勒检验有所偏差的结论。     

汇率波动率与中国对主要贸易伙伴的出口

本文研究汇率波动率对中国向三个主要贸易伙伴美国、欧盟和日本出口的影响。通过协整检验,误差修正模型和Granger非因果检验等方法估计变量间长短期的关系。研究表明,中国向美国和欧盟的实际出口与实际汇率波动率存在长期显著的负相关关系,而中国向日本的出口与汇率波动率无关。短期内汇率波动率只影响中国向美国的出口,对向欧盟和日本的出口没有影响。     

利率风险与债务期限结构的正反馈效应分析

本文在总结以前学者有关债务期限结构分析的基础上,提出了债务期限结构与利率波动之间可能存在正反馈机制。通过对经筛选的我国上市企业面板数据的实证分析,发现银行间同业拆借利率可以较好地反映企业债务期限结构的变化。而分行业的实证分析则表明,利率波动加剧会使绝大多数行业的短期债务比例降低,呈现显著负相关关系。但现阶段我国的利率形成受企业债务期限结构变化的影响不明显,长短期的面板Granger因果检验无法通过。最后,本文从利率风险及利率期限结构的角度对我国上市公司特殊的债务结构给出了新的解释。