Risk models-at-risk

The experience from the global financial crisis has raised serious concerns about the accuracy of standard risk measures as tools for the quantification of extreme downward risks. A key reason for this is that risk measures are subject to a model risk due, e.g. to specification and estimation uncertainty. While regulators have proposed that financial institutions assess the model risk, there is no accepted approach for computing such a risk. We propose a remedy for this by a general framework for the computation of risk measures robust to model risk by empirically adjusting the imperfect risk forecasts by outcomes from backtesting frameworks, considering the desirable quality of VaR models such as the frequency, independence and magnitude of violations. We also provide a fair comparison between the main risk models using the same metric that corresponds to model risk required corrections.     

基于云模型的企业主流与新流创新绩效评价

基于不同企业创新战略而衍生的主流与新流创新特征，运用逻辑框架法思想，从创新投入、过程、产出和效益4个维度，构建出体现企业主流与新流创新特征的绩效评价指标体系，引入基于正态云的创新绩效评价模型以解决部分评价指标的模糊性和随机性问题。最后，以国内6家汽车企业为例，测算其以燃油动力为主的主流创新绩效和以新能源动力为主的新流创新绩效。实证分析结果表明，该评价指标体系和评价模型能有效衡量不同企业主流与新流创新绩效的差异，同时，测算两种创新对企业整体创新绩效的贡献。     

基于变系数模型的我国资本流动审慎管理研究

本文采用事实测度法构建符合审慎特征的时变资本流动管理指标,并采用时变系数法考察了我国资本流动管理的有效性及其与短期资本流动的相关关系。研究发现,我国资本流动管理的有效性以2013年为界呈现出先减弱后增强的趋势。另一方面,仅依靠增强管理有效性而不增加管理强度难以有效防范突发事件冲击造成的大规模资本流动。此外,审慎型资本流动管理政策可以有效调控短期资本流动,且其对于资本流动的短期影响强于长期。     

珠三角工业设计与工业互动比较研究：双重需求拉动与设计驱动增长的区域验证

动态比较珠三角工业发展阶段和设计水平不同的典型区域内，工业用户和最终消费者用户双重需求拉动设计创新以及设计驱动工业增长作用机制的异同，提出克服互动系统短板并因地制宜实施设计驱动转型升级的对策建议。基于SVAR建模的脉冲响应和方差分解分析发现：珠三角工业确实可以通过工业设计创新驱动实现内生性可持续增长，而设计水平的地区差异对设计驱动绩效有调节作用；工业发展质量和结构欠佳，无法有效拉动区域工业设计创新，是珠三角多数地区工业设计有效需求不足的根本原因。区域工业设计与工业互动系统的短板是缺乏内行和挑剔的最终消费者有效需求。最后基于模型稳健性检验，提出因地制宜科学实施设计驱动发展战略的对策建议。     

不平衡时代的创新与创业研究

不平衡是新时代的基本特征。对于创新与创业而言，正是因为时代的不平衡而孕育了更多具有时代特色的创新想法和创业机会，也正是因为时代的不平衡为中国情境下的创新创业研究理论开发带来了更多挑战。在此背景下，首先，客观环境的不平衡来自创业者的主动感知，解决不平衡问题需要提高创业者的创新、创业能力，而能力的提升离不开创业认知加工和积极心理资本发挥作用。创业者通过环境扫描进行信息加工从而引发认知变革。创业团队知识和经验异质性带来了积极的心理资本。其次，合法性是创业企业在不平衡时代中得以生存和发展的"强心剂"。创业学习、关系网络都有助于企业获取合法性、解决新企业的合法性困境。创业企业战略选择和战略导向对于创业合法性也具有直接或间接的影响。最后，创业与创新融合下的商业模式创新逐渐成为不平衡时代的研究热点。商业模式创新需要适宜的资源开发、机会开发或机会-资源一体化开发行为支持，且机会、资源的开发还离不开由"环境-组织-个体"所组成的多层次影响因素发挥的联动效应。     

考虑换乘费用的城市公共交通票价优化

换乘所产生的附加费用,如时间和票价等,导致配流影响因素产生变化,如果沿用传统方式将降低预测精度和可靠性。通过引入换乘次数和方式等因子计算出行等待、乘车、换乘及风险评估预留时间等,定义广义出行费用与计算方法;建立双层规划模型求解最优票价,最后通过算例分析弹性出行需求、换乘费用、票价之间的关系。计算结果表明,换乘费用对出行需求的影响小于票价优化对出行需求的影响,优化票价随换乘费用增加而加速降低,为公共交通票价优化提供研究依据。     

中国碳金融发展:决定于经济还是环境?——基于结构方程模型

气候变化为全球带来严峻考验,碳金融是对气候变化的有效应对,碳金融的发展在我国究竟决定于经济还是环境?采用结构方程模型对碳金融发展的影响因素做出实证分析。结果表明:现阶段我国的经济因素和居民因素对碳金融发展有抑制作用;居民因素在经济因素对碳金融发展影响的路径中起到中介作用,对环境因素产生负效应;环境因素与碳金融发展存在互惠关系,在碳金融发展中起突出作用。最后从科学顶层设计、依法治理,推动低碳经济产业的优化,强化居民、企业环保意识,加强污染防治与生态建设等方面给出建议。     

Online adaptive lasso estimation in vector autoregressive models for high dimensional wind power forecasting

Wind power forecasts with lead times of up to a few hours are essential to the optimal and economical operation of power systems and markets. Vector autoregression (VAR) is a framework that has been shown to be well suited to predicting for several wind farms simultaneously by considering the spatio-temporal dependencies in their time series. Lasso penalisation yields sparse models and can avoid overfitting the large numbers of coefficients in higher dimensional settings. However, estimation in VAR models usually does not account for changes in the spatio-temporal wind power dynamics that are related to factors such as seasons or wind farm setup changes, for example. This paper tackles this problem by proposing a time-adaptive lasso estimator and an efficient coordinate descent algorithm for updating the VAR model parameters recursively online. The approach shows good abilities to track changes in the multivariate time series dynamics on simulated data. Furthermore, in two case studies it shows clearly better predictive performances than the non-adaptive lasso VAR and univariate autoregression.     

城镇就业市场上劳动力工资扭曲程度测度

本文利用CHIPS2007数据库，基于随机前沿模型对我国城镇就业市场上劳动力的工资扭曲程度进行测度。研究结果表明：（1）在城镇就业市场上，由于工资扭曲现象的存在，劳动力实际获得的工资要比他们的边际生产率低45％～60％；（2）已婚、子女个数较少、本地、拥有失业保险、男性、大中型企业的劳动力工资扭曲程度要低于未婚、子女个数较多、外来、没有失业保险、女性、小型企业的劳动力；（3）中低工资水平的劳动力工资扭曲程度要比高工资水平的劳动力严重，且中低工资水平劳动力工资扭曲程度的方差更大。由此，本文提出推进就业市场的市场化改革，完善就业市场信息网络，从而减轻劳动力工资扭曲程度。     

Assessing time-varying stock market integration in Economic and Monetary Union for normal and crisis periods

In this paper, we examine the stock market integration process amongst 17 Economic and Monetary Union (EMU) countries from January 2002 to June 2013 over a normal period as well as for the Global Financial Crisis (GFC) and Eurozone Debt Crisis (EDC) periods. We classify the economies in three groups (A, B and C) based on their GDP to examine whether the economic size influences financial integration. Seven indicators are used for the purpose, namely, beta convergence, sigma convergence, variance ratio, asymmetric DCC, dynamic cointegration, market synchronisation measure and common components approach. The results suggest that large-sized EMU economies (termed as Group A) exhibit strong stock market integration. Moderate integration is observed for middle-sized EMU economies with old membership (termed as Group B). Small-sized economies (termed as Group C) economies seemed to be least integrated within the EMU stock market system. The findings further suggest presence of contagion effects as one moves from normal to crisis periods, which are specifically stronger for more integrated economies of Group A. We recommend institutional, regulatory and other policy reforms for Group B and especially Group C to achieve higher level of integration.