中国的出口潜力及其影响因素——基于随机前沿引力模型的估计

本文通过构建随机前沿引力模型估计了中国的前沿出口水平以及出口潜力,并将影响中国出口的因素分为自然决定因素和人为决定因素,分别估计了这些因素对于出口的影响程度,由此确认了中国出口的需求拉动特征。同时,中国出口处于低效率状态,说明其所受的人为贸易阻力较大,随着世界贸易环境的改善,中国仍然具有较大的出口潜力。在当前外部需求减弱的情况下,通过短期政策促进出口企业产能具有重要的危机应对意义。从长期而言,出于维护国家经济安全的考虑,注意开发国内市场,启动内部消费,适当降低中国经济增长的对外依赖程度仍然是经济政策的重要指向。     

Demographic forecasts and fiscal policy rules

All quantitative evaluations of fiscal sustainability that include the effects of population ageing must utilize demographic forecasts. It is well known that such forecasts are uncertain, and some studies have taken that into account by using stochastic population projections jointly with economic models. We develop this approach further by introducing regular demographic forecast revisions that are embedded in stochastic population projections. This allows us to separate, for each demographic outcome and under different policy rules, the expected and realized effects of population ageing on public finances. In our Finnish application, demographic uncertainty produces a considerable sustainability risk. We consider policies that reduce the likelihood of getting highly indebted and demonstrate that, although demographic forecasts are uncertain, they contain enough information to be useful in forward-looking policy rules.     

Optimal foreign debt for Egypt: A stochastic control approach

This study assesses the foreign debt policy in Egypt and contrasts it versus the optimal policy during the period 1985–2008. It also presents a forecast of the optimal debt during the period 2009–2014. The optimal debt policy was derived using an open economy model for Egypt. The uncertainties in the model stem from the uncertainties in the interest or debt service payments and the uncertainties in the rate of return on investments. The stochastic control approach was used to find the optimal debt policy. It was found that Egypt could borrow externally as long as the trend in the rate of return on investments exceeds the trend in the real interest rate or the trend in the rate of the debt service payments. The analysis finds that Egypt's foreign debt was higher than the optimal level before 1997. After 1997, foreign debt seems to converge to the optimal level. However, Egypt's foreign debt is still below its optimal level which results in an opportunity cost for the economy to grow, otherwise, GDP could have recorded a favorable increase.     

Measuring a boom and bust: The Sydney housing market 2001–2006

The Sydney housing market peaked in 2003. The period 2001–2006 is, therefore, of particular interest since it captures a boom and bust in the housing market. We compute hedonic, repeat-sales and median price indexes for five regions in Sydney over this period. While the three approaches are in broad agreement regarding the timing of the turning point in the housing market, some important differences also emerge. In particular, we find evidence of sample selection bias in our hedonic and repeat-sales data sets (with the former focusing more on better quality dwellings and the latter more on lower quality dwellings). These sample selection biases could in turn cause bias (in opposite directions) in our hedonic and repeat-sales indexes. Median indexes may likewise be biased as a result of an apparent decline in the average quality of dwellings sold in the latter part of the sample. We also find evidence of convergence in prices across regions during the boom and divergence in the subsequent bust.     

中国经济增长空间相关性研究——基于"长三角"与"珠三角"的实证

本文建立了两套回归模型:无空间相关变量的单向和双向固定效应模型;有空间相关变量的单向和双向固定效应模型。对比分析后得出的结论有:"长三角"和"珠三角"区域内部的确存在经济增长的空间相关性,"珠三角"区域内部经济增长的空间相关性略大于"长三角"区域,但两者在统计上并没有显著的差别;两个地区都存在经济增长的β收敛,但"珠三角"地区呈现出更强的收敛性;对于影响"长三角"和"珠三角"经济增长的因素,有些相同和不同点值得关注。     

基于关联规则与信息熵的技术融合趋势研究

根据从德温特专利数据库中检索的专利数据,运用Apriori关联规则算法得到关于技术融合趋势的关联规则,然后通过基于差异思想的兴趣度模型验证规则的有效性,并在关联规则基础上利用信息熵评估企业核心技术领域分布及变化情况。最后,以安川电机和发那科公司为例进行实证分析。研究结果显示,基于差异思想的兴趣度模型弥补了关联规则因阈值设置主观性较强而导致部分规则无效的问题。     

Measuring systemic risk with regime switching in tails

This paper motivates the importance of modeling nonlinearities in measuring systemic risk. I capitalize this motivation by generalizing the CoVaR approach proposed by Adrian and Brunnermeier (2016) to allow it switching between a high and a normal risk regime filtered from data.. Considering the U.S. large bank holding companies (BHCs), this paper shows that modeling regime changes in tails is capable of capturing both amplification and mean-reversion effects of an adverse shock to a bank's balance sheet on the banking system. Using the Kolmogorov–Smirnov test statistics with and without bootstrapping, I perform the significance test to identify systemically important financial institutions (SIFIs), and the stochastic dominance test to rank the identified SIFIs. The stochastic dominance test raises the concern that the CoVaR measure underestimates systemic risk contributions for SIFIs but overestimates for non-SIFIs. Finally, applying the BHCs' characteristics and housing market price to forecast the regime-switching systemic risk out-of-sample, I obtain from 4- and 8-quarter-ahead horizons a desirable countercyclical, forward-looking measure of systemic risk.     

存在遗漏变量时的内生性研究

存在遗漏变量时回归系数的估计是计量经济学的一个重要内容。本文讨论单方程计量经济模型中随机解释变量的内生性,指出了目前的计量经济理论所存在的问题,提出了普通最小二乘估计一致性判别的新方法,并证明了存在遗漏变量情况下的普通最小二乘估计仍是一致估计。     

Generalized affine transform on pricing quanto range accrual note

This paper was to price and hedge a quanto floating range accrual note (QFRAN) by an affine term structure model with affine-jump processes. We first generalized the affine transform proposed by Duffie et al. (2000) under both the domestic and foreign risk-neutral measures with a change of measure, which provides a flexible structure to value quanto derivatives. Then, we provided semi-analytic pricing and hedging solutions for QFRAN under a four-factor affine-jump model with the stochastic mean, stochastic volatility, and jumps. The numerical results demonstrated that both the common and local factors significantly affect the value and hedging strategy of QFRAN. Notably,  the factor of stochastic mean plays the most important role in either valuation or hedging. This study suggested that ignorance of these factors in a term-structure model will result in significant pricing and hedging errors in QFRAN. In summary, this study provided flexible and easily implementable solutions in valuing quanto derivatives.