基于互联网大数据的CPI舆情指数构建与应用

研究目标：基于互联网大数据构建CPI舆情指数辅助预测CPI。研究方法：提出了一种构建CPI低频与高频舆情指数的统计方法,并通过选用2006年6月至2015年12月的数据验证了该方法的有效性。研究发现：相关关键词的搜索热度指标具有领先CPI的预测作用,依此建立的CPI舆情指数有助于改进CPI预测精度。研究创新：揭示了基于相关关键词的搜索热度指标与CPI的非线性关系,提出了一种基于门限回归的CPI低频舆情指数构建方法;使用动态因子模型估计出了CPI高频舆情指数。研究价值：预测CPI时可辅助利用基于大数据构建的CPI低频与高频舆情指数信息。     

陕西省城市化与城市资源压力的协整检验与因果分析

本文从人口、经济、社会、地域景观四个方面,构建陕西省城市化水平综合评价指标体系,时陕西省城市化水平进行综合测度;同时,构建资源压力指数对陕西省城市资源压力进行定量评价,并对其关系进行了协整检验和格兰杰(Granger)因果检验.结果表明:①1990～2009年期间陕西省城市化综合水平持续提高;②城市资源压力指数与城市化...     

汇率与股价变动关系:基于汇改后数据的实证研究

研究我国2005年7月汇率制度改革后汇率与股市的关系及其传导机制,有助于深刻认识金融市场联动特征,对于防范金融市场风险和完善我国资本市场、外汇市场等的改革具有重要的理论和实践意义。本文实证发现了汇率和股价存在着长期均衡的协整关系;从长期来看,两者关系符合流量导向模型,上证指数受到汇率长期影响,从短期来看,股市和汇市存在着交互影响,汇率变化影响股指变动有时滞。运用滚动窗口的Granger检验和加入其他重要宏观变量的多变量协整检验,本文证明了这种长期关系具有较强的稳健性。进一步从板块指数与汇率的关系来看,房地产、金融、民航、石化、钢铁指数均与汇率存在着长期的协整关系,汇率变化是这些板块指数的Granger原因。最后,本文对实证结果做出分析并指出了相应的政策含义。     

资本渐进开放下我国与国际利率的联动分析——基于中国和美国的比较

一般来说,利率在国家间的传导主要有两条渠道:国际贸易间的传导和资本自由流动下的利率平价机制。本文采取分阶段考察,通过建立计量经济学模型,利用单位根检验和协整分析加以验证,发现在资本项目部分开放后,中美利率开始具有联动效应,作用方式又具有自身的特点。目前资本项目开放度不够高是阻碍我国同世界利率联动的主要原因。     

能源企业技术创新能力对财务绩效的影响——基于企业规模的门槛效应研究

能源消费和供给的重要性使得政府给予能源企业技术创新更多关注和支持,能源企业经营存在较大风险使得能源企业技术创新能力对财务绩效的影响呈现一定特殊性。以我国能源企业2013-2018年技术创新投入与产出能力指标为样本数据,采用因子分析法和动态面板门槛效应模型,在评价能源企业技术创新能力的基础上,分别研究能源企业技术创新投入和产出能力对财务绩效的影响及企业规模门槛效应。研究结果表明,能源企业的技术创新投入和综合能力对财务绩效的影响存在显著的门槛效应,而产出能力的表现并不显著。研究结果可为国家和能源企业的技术政策制定和创新投入决策提供参考。     

What drives stock market integration? An analysis using agribusiness stocks

This article explores the drivers of regional stock market integration with a focus on the agribusiness sector across relevant regional trade blocs around the world. We implement panel cointegration models to analyze the stock indices of agribusiness firms in the Southern Common Market (MERCOSUR), European Union (EU), Asia‐Pacific Economic Cooperation (APEC), and North American Free Trade Agreement (NAFTA). Based on the literature on market integration and stock return pricing, we identify nine possible determinants of stock market integration, which we separate into three categories: individual market performance, macroeconomic conditions, and agricultural trade. In our analysis, we account for agriculture‐specific factors to control for possible structural shifts in financial markets regimes by including the two main commodity price bubbles during last 20 years. Our results show that most of the variables included in our categories have been important factors in promoting regional stock market integration. Moreover, integration among regional stock markets was strengthened by the implementation of trade agreements. This effect is stronger in trade blocs with fewer members, such as NAFTA and MERCOSUR, compared with larger and more heterogeneous blocs, such as the EU and APEC.     

Price transmission,asymmetric adjustment and threshold effects in the cotton supply chain: a case study for Vidarbha,India

This study examines price transmission asymmetries in Vidarbha's (India) cotton supply chain from 2002 to 2012. The analysis takes account of thresholds in price adjustments toward their long‐run equilibrium. The first stage considers the price dynamics between international and Indian domestic cotton prices. The second stage considers price transmission from domestic to farm gate cotton prices in Vidarbha. Results from the first stage indicate that Indian and international cotton markets are well‐integrated. In contrast, the second stage reveals significant threshold‐type nonlinearities as well as asymmetries in price transmission between domestic and farm gate prices. The short‐run dynamics suggest that the pass‐through from domestic to farm gate prices is larger when domestic prices decrease than when they increase. Moreover, back of the envelope calculations suggest that the loss in revenue for a typical farmer from a decrease in domestic price is larger than the gains from an increase in domestic price of the same magnitude. The implication is that traders benefit from price fluctuations at the expense of farmers. Evidence from fieldwork in Vidarbha suggest that asymmetries revealed in this analysis may be linked to trader's market power and inadequate market information among farmers.     

The cointegrated vector autoregressive model with general deterministic terms

In the cointegrated vector autoregression (CVAR) literature, deterministic terms have until now been analyzed on a case-by-case, or as-needed basis. We give a comprehensive unified treatment of deterministic terms in the additive model $X_t=\gamma Z_t+Y_t$, where $Z_t$ belongs to a large class of deterministic regressors and $Y_t$ is a zero-mean CVAR. We suggest an extended model that can be estimated by reduced rank regression, and give a condition for when the additive and extended models are asymptotically equivalent, as well as an algorithm for deriving the additive model parameters from the extended model parameters. We derive asymptotic properties of the maximum likelihood estimators and discuss tests for rank and tests on the deterministic terms. In particular, we give conditions under which the estimators are asymptotically (mixed) Gaussian, such that associated tests are ${\chi }^2$-distributed.     

股市波动对股市募资的影响——基于VAR模型实证分析

本文选取1991年8月至2010年7月一级市场实际募集资金、上证指数及深成指的月度数据作为样本,运用向量自回归(VAR)模型、格兰杰因果关系检验、脉冲响应分析及方差分解方法分析股市波动与股市募资的关系,实证分析表明:股市波动是股市募资的原因,其中深成指对股市募资的影响较大;股市募资对股市波动短期有强劲的响应,在长期趋于稳定;股价指数和股市募资存在长期均衡关系。并且在定量分析和定性分析相结合的基础上给出相应的对策建议。     

技术进步偏向、创新要素配置与经济韧性

基于2006—2020年中国内地31个省域面板数据,从影响传导机制、非线性特质角度探究技术进步偏向对经济韧性的影响效应。结果发现：(1)技术进步偏向对经济韧性具有显著正向影响,这一结论在稳健性与内生性检验中依然成立;(2)就作用机制而言,创新要素配置是影响技术进步偏向作用于经济韧性的重要机制;(3)门槛模型检验结果显示,技术进步偏向指数及其子维度与经济调整适应能力不存在非线性作用关系,但与经济创新转型能力具有非线性关系。因此,要合理引导技术发展方向,发挥技术进步偏向的积极作用;充分发挥“有效市场”和“有为政府”的合力作用,优化创新要素配置;以技术创新、理念革新与机制鼎新抵御潜在风险,增强经济韧性。