Forecast accuracy after pretesting with an application to the stock market

In econometrics, as a rule, the same data set is used to select the model and, conditional on the selected model, to forecast. However, one typically reports the properties of the (conditional) forecast, ignoring the fact that its properties are affected by the model selection (pretesting). This is wrong, and in this paper we show that the error can be substantial. We obtain explicit expressions for this error. To illustrate the theory we consider a regression approach to stock market forecasting, and show that the standard predictions ignoring pretesting are much less robust than naive econometrics might suggest. We also propose a forecast procedure based on the ‘neutral Laplace estimator’, which leads to an improvement over standard model selection procedures. Copyright © 2004 John Wiley & Sons, Ltd.     

DETERMINATION OF KRAFT LIGNIN CONCENTRATIONS BY FTIR

A fast and accurate method based on FTIR is developed for determining the lignin content and its characteristic bands in alkali solutions. The work consisted of two main parts: 1) establishing a predictive model and 2) determination of the accuracy of the model. The model was derived by applying the partial least squares algorithm for multivariate analyses to a set of spectrum data obtained from selected IR absorption regions in the range of 1600 - 900 cm-1. The model was tested with spent liquors obtained from commercial pulp mills.The accuracy of the predictive model is extremely high suitable for commercial applications,particularly for monitoring the dynamic response of modern kraft pulping processes.     

Which survey indicators are useful for monitoring consumption? Evidence from European countries

This paper assesses the information content of two survey indicators for consumption developments in the near future for eight European countries in the period 1985–1998. Empirical work on this topic typically focuses on consumer confidence, the perceptions of buyers of consumption goods. This paper examines whether perceptions of sellers of consumption goods, measured by retail trade surveys, may also improve short‐term monitoring of consumption. We find that both consumer confidence and retailer confidence embody valuable information, when analysed in isolation. For France, Italy and Spain we conclude that adding retail confidence does not improve the indicator model once consumer confidence has been included. For the UK the reverse case is obtained. For the remaining four countries we show that combining consumer sentiment and retail trade confidence into a composite indicator leads to optimal results. Our results suggest that incorporating information from retail trade surveys may offer significant benefits for the analysis of short‐term prospects of consumption. Copyright © 2004 John Wiley & Sons, Ltd.     

一种适于强横向变速的高阶差分正演模拟方法

波动方程正演模拟法相对于射线法具有精度高、效率低的特点。为了提高其效率 ,提出了一种高阶差分正演模拟方法。该方法考虑了速度场局部的强横向变化 ,适于复杂介质的正演模拟 ;在相同精度下 ,高阶差分的空间横向间隔可取为低阶差分的 2～ 4倍 ,有较高的计算效率 ;高阶差分加上合适的边界条件能较好地解决网格频散和边界效应问题。通过对Marmousi模型的试算 ,验证了该方法对复杂速度模型的适应性、有效性和实用性。     

基于神经网络的企业信用等级评估

企业信用等级评估是金融领域重要的问题，论文采用人工神经网络模型研究企业信用等级的评估问题，按照企业样本在信用等级的分布状况来抽样，然后，根据企业样本性质的不同，将其分为制造业和非制造业两大类，利用偏相关分析方法建立了企业信用评级的指标体系，此外，还介绍了几种企业信用评级常用的评估模型，并将神经网络评估模型的性能和其他的信用评估模型作了比较，实验结果表明神经网络模型具有更好的预测准确性。     

管理系统的最经济控制问题

依据最经济控制问题的概念及其对无确定性数学模型系统分析存在的局限性，对现代管理系统最经济控制问题，提出了在满足系统基本要求前提下。实现控制功能及品质与控制成本比最佳或最划算的模型定义，并对管理系统的可靠性、ABC管理法、WSR方法论等方面的可靠性成本、运行成本和最佳收益等最经济控制问题进行了研究．     

Exponential smoothing: Behavior of the ex-post sum of squares near 0 and 1

When using simple exponential smoothing on a given time series the nature of the relationship between the optimal smoothing constant and the autocorrelation structure of the series remains an unresolved question. Although numerical search routines can easily be used to find optimal values of the smoothing constant, they offer little insight into the nature of the relationship between the estimated smoothing constant and the structure of the underlying time series. We suggest that renewed investigations of the ex-post sum of squares function may prove helpful in this pursuit. Results are presented that illustrate how the optimal smoothing constant depends upon the value used to initialize the smoothing and upon the sample autocorrelation coefficients of the observed series. These results are based on a new formula for the derivative of the ex-post sum of squares function. In particular, the derivative is examined near 0 and 1, where great simplifications occur in its form, thereby facilitating investigations near these points. A necessary and sufficient condition is stated for when the ex-post sum of squares must have a positive derivative at 0 and the autocorrelation coefficients of the differenced series are shown to affect the sign of the derivative near 1. Based on these results, a general algorithm is presented as an alternative to grid search routines for minimizing the ex-post sum of squares.     

Effect of volatile anesthetics on the circular dichroism of bilirubin bound to human serum albumin

The characteristic circular dichroism of bilirubin bound to human serum albumin undergoes a remarkable sign inversion on addition of halothane, chloroform and other volatile anesthetics. This sign inversion, which is completely reversed by removal of the anesthetic, reflects a pronounced conformational change of the bound ligand; probably a complete inversion of chirality. The observation suggests that association of volatile anesthetics with proteins can markedly alter the internal topography of receptor sites and potentially influence the stereoselectivity of ligand binding.