通胀周期、金融抑制与企业存货的动态调整

企业存货调整策略的准确识别是有效管理通胀预期的必要条件。本文基于非线性交互效应面板误差纠正模型、从微观层面研究在通胀周期不同阶段,企业存货调整的具体特征。实证结果与反事实对比仿真实验均表明:主导企业存货策略性调整的是通胀预期而不是实际通胀水平。与社会的经验判定不同,企业存货调整对通胀表现出逆周期特征。对大部分行业而言,低通胀阶段,通胀预期的收益效应强于存货调整的成本效应,货币调控无效;高通胀阶段,通胀预期弱化,成本效应凸显,货币调控才有效。两种机制的阈值通胀率约为3.4%,所以,将通胀调控上限定为3.5%符合企业市场行为的特征。各行业存货策略对货币调控、通胀预期的灵敏度有显著差异,房地产、批发零售、机械设备较为敏感,最不敏感的是食品行业。     

Inventory Systems with Unreliable Suppliers

The aim of this article is to establish the optimal control of a periodic-review inventory system with two suppliers. One of them delivers orders immediately, the other one is unreliable delivering the orders immediately only with probability p ∈ (0, 1). Two cases are considered. In the first case, it is possible to order any inventory amount from each of suppliers. In the second case, the system budget is restricted.     

Market-Based Credit Ratings

We present a methodology for rating in real-time the creditworthiness of public companies in the U.S. from the prices of traded assets. Our approach uses asset pricing data to impute a term structure of risk neutral survival functions or default probabilities. Firms are then clustered into ratings categories based on their survival functions using a functional clustering algorithm. This allows all public firms whose assets are traded to be directly rated by market participants. For firms whose assets are not traded, we show how they can be indirectly rated by matching them to firms that are traded based on observable characteristics. We also show how the resulting ratings can be used to construct loss distributions for portfolios of bonds. Finally, we compare our ratings to Standard & Poors and find that, over the period 2005 to 2011, our ratings lead theirs for firms that ultimately default.     

Simulation/Regression Pricing Schemes for CVA Computations on CDO Tranches

We devise simulation/regression numerical schemes for pricing the CVA on CDO tranches, where CVA stands for Credit Valuation Adjustment, or price correction accounting for the defaultability of a counterparty in an OTC derivatives transaction. This is done in the setup of a continuous-time Markov chain model of default times, in which dependence between credit names is represented by the possibility of simultaneous defaults. The main idea of this article is to perform the nonlinear regressions which are used for computing conditional expectations, in the time variable for a given state of the model, rather than in the space variables at a given time in diffusive setups. This idea is formalized as a lemma which is valid in any continuous-time Markov chain model. It is then implemented on the targeted application of CVA computations on CDO tranches.     

On the Evolution and Asymptotic Analysis of Open Markov Populations: Application to Consumption Credit

In this paper, we study, by means of randomized sampling, the long-run stability of some open Markov population fed with time-dependent Poisson inputs. We show that state probabilities within transient states converge—even when the overall expected population dimension increases without bound—under general conditions on the transition matrix and input intensities.

Following the convergence results, we obtain ML estimators for a particular sequence of input intensities, where the sequence of new arrivals is modeled by a sigmoidal function. These estimators allow for the forecast, by confidence intervals, of the evolution of the relative population structure in the transient states.

Applying these results to the study of a consumption credit portfolio, we estimate the implicit default rate.     

多级评分模型中的分部评分模型

本文通过对分部评分模型与等级反应模型、评定量表模型的比较,对分部评分模型的特色作了较为深入的剖析,从而为其在现代测验领域的应用在理论上进行了抛砖引玉的阐述。     

Linear regression analysis with inequality constraints on the regression parameters via empirical likelihood

An empirical likelihood ratio test is developed for testing for or against inequality constraints on regression parameters in linear regression analysis. The proposed approach imposes no parametric model nor identically distributing assumption on the random errors. The asymptotic distribution of the proposed test statistic under null hypothesis is shown to be of chi-bar-squared type. The asymptotic power under contiguous alternatives is also briefly discussed. Moreover, an adjusted empirical likelihood method is adopted to improve the small sample size behaviour of the proposed test. Several simulation studies are carried out to assess the finite sample performance of the proposed tests. The results reveal that the proposed tests could be valuable for improving inference efficiency. A real-life example is discussed to illustrate the theoretical results.     

大系统观下降解率与均衡价格的联络——资源有界引致的市场逻辑

资源稀缺下的市场定价,由于要素循环是必需的,故市场价格在受上变量和侧变量影响的同时,还受下变量的影响。通过构造劳动力—功能空间图,把表征为下变量的未来因子引入对均衡价格的决定中,并认为当期均衡价格由"未来商品供给和当前商品供给生成的总供给"与"未来商品需求和当前商品需求生成的总需求"联合决定,由此引入影响未来供给的降解率因子。因此,资源稀缺社会里,社会机制的设计和社会法则的提取应放在更大系统内探究。     

Social Inclusion or Market Competitiveness? A Comparison of Rural Development Policies in the European Union and the United States

The language of EU rural development policy appears more interested in social inclusion and that of US policy more interested in market competitiveness. We seek to determine why policies directed at rural development in the EU and the USA differ. In both contexts new rural development policies emphasize partnership and participation but we find local participation is used to promote social inclusion in the EU and market competitiveness in the USA. An examination of these dimensions illustrates important transcontinental differences and similarities in rural development policies. We explore the socio‐historical reasons for differences in the commitment to social inclusion, while also noting similarities in the priority of market competitiveness.     

怒江大峡谷区域旅游业发展问题诊断

作者探讨了怒江大峡谷旅游开发现状中所呈现的问题,认为旅游资源在质和空间分布上所存在的局限性是制约怒江大峡谷旅游业发展最根本的问题。在此立论基础上,针对怒江大峡谷旅游业发展的问题现状,提出相应的解决措施。