An Adaptive Multiscale Ensemble Learning Paradigm for Nonstationary and Nonlinear Energy Price Time Series Forecasting

For forecasting nonstationary and nonlinear energy prices time series, a novel adaptive multiscale ensemble learning paradigm incorporating ensemble empirical mode decomposition (EEMD), particle swarm optimization (PSO) and least square support vector machines (LSSVM) with kernel function prototype is developed. Firstly, the extrema symmetry expansion EEMD, which can effectively restrain the mode mixing and end effects, is used to decompose the energy price into simple modes. Secondly, by using the fine‐to‐coarse reconstruction algorithm, the high‐frequency, low‐frequency and trend components are identified. Furthermore, autoregressive integrated moving average is applicable to predicting the high‐frequency components. LSSVM is suitable for forecasting the low‐frequency and trend components. At the same time, a universal kernel function prototype is introduced for making up the drawbacks of single kernel function, which can adaptively select the optimal kernel function type and model parameters according to the specific data using the PSO algorithm. Finally, the prediction results of all the components are aggregated into the forecasting values of energy price time series. The empirical results show that, compared with the popular prediction methods, the proposed method can significantly improve the prediction accuracy of energy prices, with high accuracy both in the level and directional predictions. Copyright © 2016 John Wiley & Sons, Ltd.     

银行卡网络价格结构与刷卡消费组合决策模型

针对银行卡网络价格结构与刷卡消费之间复杂的关联问题,引入双边市场理论和组合决策思想,以实现银行卡网络整体发展为目标,基于Wright等设计的银行卡网络交换费优化模型,建立了银行卡网络价格结构与刷卡消费组合决策模型.通过加入扰动因子、采用双适应值比较和保留边界不可行解改进了粒子群算法,解决了模型的求解难题,为合理制定银行卡网络价格结构提供了一种新方法,同时拓宽了双边市场理论的应用领域,在电子支付管理领域具有广阔的应用前景.     

A Comparison of the Forecasting Ability of Immediate Price Impact Models

As a consequence of recent technological advances and the proliferation of algorithmic and high‐frequency trading, the cost of trading in financial markets has irrevocably changed. One important change, known as price impact, relates to how trading affects prices. Price impact represents the largest cost associated with trading. Forecasting price impact is very important as it can provide estimates of trading profits after costs and also suggest optimal execution strategies. Although several models have recently been developed which may forecast the immediate price impact of individual trades, limited work has been done to compare their relative performance. We provide a comprehensive performance evaluation of these models and test for statistically significant outperformance amongst candidate models using out‐of‐sample forecasts. We find that normalizing price impact by its average value significantly enhances the performance of traditional non‐normalized models as the normalization factor captures some of the dynamics of price impact. Copyright © 2016 John Wiley & Sons, Ltd.     

汇文系统下的合订本期刊价格管理

介绍了在汇文系统环境下,如何对合订本期刊价格进行管理的几种方法。     

零售商价格竞争下供应链的均衡及协调研究

研究了收益共享契约下,单供应商和多个价格竞争的零售商构成的供应链系统的均衡及协调问题.基于经济博弈理论的最新进展--超模博弈理论,证明了价格敏感的随机需求下零售商间的价格竞争一定存在纯策略纳什均衡,分析了均衡的特点,并给出了存在唯一均衡的条件;基于以上分析,对契约机制的设计进行了优化,既保证各方接受对契约的优化,又可实现多赢和系统协调.     

工业企业调价方法的探讨

根据工业企业调价的基本动因,探讨了工业企业调价的基本思路。利用需求弹性理论导出了理论最佳调价幅度的计算公式,并引用“调模法”的思想,利用产品市场竞争力、市场生命周期、供求状况、替代品价格等对理论最佳调价幅度进行了修正。     

南水北调东线工程水价系统仿真研究

合理的水价是南水北调工程顺利实施的前提，本文从系统仿真的角度出发，在考虑即满足还贷要求，又满足居民和工企业承受能力要求的前提下，利用计算机仿真技术，通过设定不同的经济条件和参数来进行水价的模拟仿真计算，进而求出最优的水价序列。     

价格本体系统投入产出模型中直接消耗系数对临界平均毛利率的影响分析

针对价格本体系统稳定性建立了基本价格投入产出模型,给出了定价稳定性的充要条件和临界平均毛利率的表达式,并研究降低直接消耗系数对该临界平均毛利率的定量影响,得出降低直接消耗系数可提高临界平均毛利率定量关系的结论,并给出了临界平均毛利率的增加幅度.     

宗地估价信息系统设计与实现

探讨了地理信息系统（GIS）和决策支持系统（DSS）技术支持下的宗地估价信息系统的设计方案，系统生成土地估价技术报告的自动化率达80％以上。     

非均衡蛛网模型价格调节的稳定性分析（Ⅰ）

许多商品的市场价格，供给量和需求量会随着时间的变化而发生变化，呈现出时涨时跌的，交替变化的规律，在理论上，过去曾经采用传统均衡分析的方法建立微观市场蛛网模型来描述均衡条件下的商品价格的流动趋势。由于现实微观市场未能做到时刻都出现而使需关系处于不均衡的常态中，因此所述理论模型假设的前提与现实经济尚有较大的差距，故经济结论是勉强的和不实际的，这就很有必要考虑在市场非均衡条件下，研究商品的价格波动问题，