长期融资与经济增长

三十人小组（G30）将“投资时间区间”作为2012年的研究课题,形成《长期融资与经济增长》报告。报告旨在测算未来全球长期融资需求的规模,发现影响金融体系提供长期融资进而影响未来经济增长的潜在障碍,并提出了促进长期融资的五个目标以及具体建议。     

Behavioral determinants of supply chain integration and coexistence

Economic theory considers physical production characteristics and related property rights as key determinants of the organization of an industry. Yet, we frequently observe coexisting governance modes within industries and firms, even when the transaction attributes of a commodity are homogenous. We test whether risk and time preferences, price expectations, and trust in supply chain types can explain variations and coexistence in governance. Specifically, we experimentally elicit economic preferences of forest managers in the Swiss wood sector. We find that all behavioral dimensions are related to the choice of sales channel. Most importantly, trust and expectations are key determinants in transferring property rights, while risk aversion, patience, and ownership structure explain the existence of plural forms at the firm level.     

基于时间序列的山东省人均GDP分析与预测

人均国内生产总值综合考虑了一个地区经济总量和人口基数,能够较好地反映一个地区经济增长和居民经济生活水平。本文以1978—2013年的山东省人均GDP数据为样本,用时间序列分析方法建立自回归预测模型。根据预测,山东省“十二五”期间人均GDP呈现出先慢后快的增长特点,可能原因是前期受金融危机影响较大,后期影响逐渐减弱。政府应保持宏观经济政策连续性稳定性,不断扩大开放,实施创新驱动,加快转方式调结构促升级,深化国民收入分配体制改革,实现经济持续健康发展和社会和谐稳定。     

评审专家抽取中的时间距离约束分析

针对现有评审专家抽取中距离约束存在的不足,本文提出了一种新的时间距离约束。本文介绍了时间距离的含义及其提出的必要性,并给出了基于GIS技术的时间距离计算方法,具体包括相关假设、计算步骤、解决方案以及实现过程。时间距离约束的提出不仅可以保证所有被选专家都可按时到达评审地点,而且还能打破行政区域的限制,合理调配专家资源,具有重要的现实意义。     

时段基因模式的财务指标分析与应用

本文结合时间序列的概念和遗传算法中的模式原理,提出了时段基因模式概念,将财务指标随时间变化的增减趋势转化为时段基因模式。用统计方法对大规模财务指标进行时间序列分析,得到具有一定特征性的指标时段基因子模式,对我国上市公司的财务危机预警问题预测准确度最高可达95%。     

The asymmetry of judgemental confidence intervals in time series forecasting

In forecasting a time series, one may be asked to communicate the likely distribution of the future actual value, often expressed as a confidence interval. Whilst the accuracy (calibration) of these intervals has dominated most studies to date, this paper is concerned with other possible characteristics of the intervals. It reports a study in which the prevalence and determinants of the symmetry of judgemental confidence intervals in time series forecasting was examined. Most prior work has assumed that this interval is symmetrically placed around the forecast. However, this study shows that people generally estimate asymmetric confidence intervals where the forecast is not the midpoint of the estimated interval. Many of these intervals are grossly asymmetric. Results indicate that the placement of the forecast in relation to the last actual value of a time series is a major determinant of the direction and size of the asymmetry.     

等比级数在函数展开成幂级数中的应用

函数的幂级数展开是高等数学的教学重点之一,在解决函数的幂级数展开的问题中,等比级数起着重要的作用。文章介绍了利用等比级数将函数展开成幂级数的常见情形,并给出了具体的例子。     

Nonlinear deterministic forecasting of daily dollar exchange rates

We perform out-of-sample predictions on several dollar exchange rate returns by using time-delay embedding techniques and a local linear predictor. We compared our predictions with those by a mean value predictor. Some of our predictions of the exchange rate returns outperform the predictions of the same series by the mean value predictor. However, these improvements were not statistically significant. Another interesting result in this paper which was obtained by using a recently developed technique of nonlinear dynamics is that all exchange rate return series we tested have a very high embedding dimension. Additionally, evidence indicates that these series are likely generated by high dimensional systems with measurement noise or by high dimensional nonlinear stochastic systems, that is, nonlinear deterministic systems with dynamic noise.     

Evaluation of American option prices in a path integral framework using Fourier–Hermite series expansions

In this paper we review the path integral technique which has wide applications in statistical physics and relate it to the backward recursion technique which is widely used for the evaluation of derivative securities. We formulate the pricing of equity options, both European and American, using the path integral framework. Discretising in the time variable and using expansions in Fourier–Hermite series for the continuous representation of the underlying asset price, we show how these options can be evaluated in the path integral framework. For American options, the solution technique facilitates the accurate determination of the early exercise boundary as part of the solution. Additionally, the continuous representation of the state variable allows the relatively accurate and efficient evaluation of the option prices and the delta hedge ratio.     

Solving the income fluctuation problem with unbounded rewards

This paper studies the income fluctuation problem without imposing bounds on utility, assets, income or consumption. We prove that the Coleman operator is a contraction mapping over the natural class of candidate consumption policies when endowed with a metric that evaluates consumption differences in terms of marginal utility. We show that this metric is complete, and that the fixed point of the operator coincides with the unique optimal policy. As a consequence, even in this unbounded setting, policy function iteration always converges to the optimal policy at a geometric rate.