Steady state adjusting trends using a data-driven local polynomial regression

Economic variables usually follow a dynamic trend pattern. However, it is difficult to estimate this trend precisely as numerous economically- and statistically-based estimation methods exist. This contribution proposes a data-driven nonparametric trend that is local polynomial, to improve arbitrary trend estimations of commonly used methods concerning the selection of the smoothing parameter and the dependence structure. An iterative plug-in (IPI) algorithm determines the bandwidth endogenously and allows a theory-based interpretation of the length of growth processes. This length of the bandwidth reflects the lengths of the steady state periods. Consequently, the bandwidth identifies the time period of stable economic conditions and can detect economic changes. To demonstrate the power of this estimation approach, an extensive simulation study is performed. Furthermore, examples using US and UK GDP data along with a guide for the optimal choice of algorithms for empirical applications are provided. This proposed method yields new insights for growth dynamics, cyclical movements and their dependence.     

Theoretical,empirical, and operational models in hotel location research

This paper aims to review past literature on hotel location models and evaluate the state of the art, as well as set out future directions. This study divides hotel location models into three major categories: theoretical models, empirical models, and operational models. Four theoretical hotel location models are reviewed and discussed, including the tourist-historic city model, the mono-centric model, the agglomeration model, and the multi-dimensional model. Based on previous literature, six empirical models and three operational models of hotel location are elaborated. Furthermore, some challenges related to hotel location studies are discussed, and future research directions are provided. In particular, we advocate the development of more sophisticated hotel location models and the use of Geographic Information System (GIS) in hotel location analysis.     

An analytical approximation formula for European option pricing under a new stochastic volatility model with regime-switching

In this paper, an analytical approximation formula for pricing European options is obtained under a newly proposed hybrid model with the volatility of volatility in the Heston model following a Markov chain, the adoption of which is motivated by the empirical evidence of the existence of regime-switching in real markets. We first derive the coupled PDE (partial differential equation) system that governs the European option price, which is solved with the perturbation method. It should be noted that the newly derived formula is fast and easy to implement with only normal distribution function involved, and numerical experiments confirm that our formula could provide quite accurate option prices, especially for relatively short-tenor ones. Finally, empirical studies are carried out to show the superiority of our model based on S&P 500 returns and options with the time to expiry less than one month.     

加工贸易对安徽省经济增长作用的实证分析

基于对安徽省加工贸易现状的总结、归纳,文章利用安徽省1999-2009年11年的时间序列数据,运用加工贸易增值系数法、加工贸易对GDP拉动度和线性回归三种实证方法,分析了加工贸易对经济增长的作用,并提出了若干政策建议。     

商业行业产权结构调整及其对企业效率影响的实证研究

产权结构的差异影响企业激励约束机制的发挥,影响资源的有效配置及利用程度,并作用于资本和劳动力的投入、生产和管理成本、产出水平、技术进步、规模经济等方面,带来企业投入产出效率的分化。商业行业上市公司的基本趋势是国有型产权结构逐渐转向法人控股型产权结构,其10多年的效率变化实证分析表明,不同产权结构的企业之间存在显著的效率差异;产权结构的调整导致了企业效率的提升。     

基于Z-Score模型的我国房地产业上市公司财务风险的实证分析

在宏观经济紧缩和严厉调控政策的影响下,我国房地产企业已经出现了显著的财务风险。本文运用Z-Score财务风险预警模型,对在深市A股上市的61家房地产企业财务风险进行了实证研究,并在此基础上针对性地提出了房地产企业加强财务管理和风险防范的建议。     

基于可持续发展理念和AHP的高校绩效评价研究

为了以绩效为导向合理分配高等教育资源,必须进行高校绩效的综合评价。首先,在可持续发展理念指导下,建立由4个一级指标和18个二级指标组成的高校绩效综合评价指标体系;其次,应用层次分析法构造两两判断矩阵,在层次单排序和总排序基础上计算各指标权重;最后,基于教育部直属财经类高校数据进行实证研究,并对结果加以分析。     

对我国外汇储备超适度规模的实证分析——基于改进的阿格沃尔模型

本文运用改进的阿格沃尔模型,选取1994-2010年数据对我国外汇储备适度规模进行了实证分析,结果表明:目前我国外汇储备规模已经明显过量。Johansen协整检验和Granger因果关系检验显示:进出口额、GDP、外商直接投资与外汇储备规模之间存在长期协整关系,对外汇储备规模能够产生长期的影响;但外债余额尤其是短期外债余额和广义货币供应量也能在短期内对外汇储备规模产生影响。本文认为,改善贸易结构并扩大内需,加大进口力度并支持对外投资,重视GDP的质量并促进经济理性增长,严格外企准入制度并转变外企引进结构,增强人民币汇率弹性等政策措施是抑制我国外汇储备过度增长的有效途径。     

对我国出口退税政策效果的实证分析及反思

本文以我国出口退税政策的实际效果为研究对象,对出口退税政策的经济效应进行理论分析,并运用Spearman秩相关分析方法对我国出口退税政策的实际效果进行实证分析。实证研究表明：出口退税对我国出口额的促进作用并不显著,国外需求才是影响我国出口额的主要因素,而且出口退税会恶化我国价格贸易条件,加大通货膨胀压力。基于理论和实证的研究结果,本文提出了相应的政策建议。     

内地与香港CEPA经济效应的实证分析

本文从实证分析的角度出发,运用区内贸易比重、巴拉萨模型、区内贸易流量、格鲁伯-劳艾德指标等工具,对祖国内地与香港CEPA的经济效应进行系统研究。CEPA的实施对香港、祖国内地的贸易影响不尽相同,就建立区域经济一体化的成本而言,香港比内地要低。