Price Momentum and Trading Volume

This study shows that past trading volume provides an important link between 'momentum' and 'value' strategies. Specifically, we find that firms with high (low) past turnover ratios exhibit many glamour (value) characteristics, earn lower (higher) future returns, and have consistently more negative (positive) earnings surprises over the next eight quarters. Past trading volume also predicts both the magnitude and persistence of price momentum. Specifically, price momentum effects reverse over the next five years, and high (low) volume winners (losers) experience faster reversals. Collectively, our findings show that past volume helps to reconcile intermediate-horizon 'underreaction' and long-horizon 'overreaction' effects.     

Smooth Transition ARCH Models: Estimation and Testing

In this paper, we suggest an extension of the ARCH model, the smooth-transition autoregressive conditional heteroskedasticity (STARCH) model. STARCH models endogenously allow for time-varying shifts in the parameters of the conditional variance equation. The most general form of the model that we consider is a double smooth-transition model, the STAR-STARCH model, which permits not only the conditional variance, but also the mean, to be a function of a smooth-transition term. The threshold ARCH model, the Markov-ARCH model and the standard ARCH model are special cases of our STARCH model. We also develop Lagrange multiplier tests of the hypothesis that the smooth-transition term in the conditional variance is zero. We apply our STARCH model to excess Treasury bill returns. We find some evidence of a smooth transition in excess returns, but in contrast to previous studies, we find almost no evidence of volatility persistence once we allow for smooth transitions in the conditional variance. Thus, the apparent persistence in the conditional variance reported by many researchers could be a mere statistical artifact. We conduct in-sample tests comparing STARCH models to nested competitors; these suggest that STARCH models hold promise for improved predictions. Finally, we describe further extensions of the STARCH model and suggest issues in finance to which they might profitably be applied.     

Change in Volatility in the Won/U.S. Dollar Daily Exchange Rate:Stochastic Volatility Model

This study estimates the changes in volatility of the won/U.S. dollar dailyexchange rates before and after the Korean currency crisis, using the stochastic volatility model with the ARMAregression error term. We find that the persistence of volatility increased after the Koreancurrency crisis.     

韩国网上证券交易

<正> 信息技术最近的进步,尤其是因特网,正使全球的商务和交易发生根本性的变革。对证券业来说,体现在网上证券交易的这些进步使其未来的发展方向和整个行业的前景发生了变化。     

新经济条件下的证交所:是资讯而不是中介

<正> 我们今后的发展方向已不再有什么疑问了。如今,欧洲证券交易所的合并已是大势所趋。关键的问题是,当我们走到那一步的时候又会出现什么情况?更确切地说,证券交易所今后将做些什么,该如何对证券交易所进行监管? 欧洲市场上霸主地位的竞争将会是错综复杂的,也是非常激烈的,最终结果目前还不明朗。伦敦证券交易所     

Tests und Konfidenzintervalle für exponentielle Verteilungen und deren Anwendung auf einige diskrete Verteilungen

Zusammenfassung Es werden Verteilungen betrachtet, die (bezüglich irgendeines Ma?es) eine Dichte der GestaltC(ϑ) exp [ϑ x] besitzen. Für solche Verteilungen werden (ein- und zweiseitige) Tests und Konfidenzintervalle mit gewissen Optimalit?tseigenschaften entwickelt, und zwar fürϑ, für die Differenzϑ ₁ −ϑ ₂, sowie für einige Versionen desk-Stichproben Problems. Sodann werden einige Hilfss?tze über den bedingten Erwartungswert und die bedingte Varianz von zweiparametrigen Verteilungen abgeleitet, die bezüglich des einen Parameters reproduktiv sind und eine bezüglich des zweiten Parameters ersch?pfende und vollst?ndige Funktion besitzen. Schlie?lich werden die allgemeinen Ergebnisse auf einige diskrete Verteilungen (Binomial, Poisson, negativ Binomial, Pascal) angewendet und der Zusammenhang mit verschiedenen bekannten Tests diskutiert.

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Summary Probability distributions are considered which (with respect to any measure) possess a density function of the typeC(ϑ) exp [ϑ x]. For distributions of this type (one and twosided) tests and confidence intervals with some optimal properties are given, namely forϑ, for the differenceϑ ₁ −ϑ ₂, and for several versions of thek-sample problem. Furthermore, some lemmas concerning the conditional expectation and the conditional variance are proved for two-parameter families of distributions which are reproductive in one parameter and possess a complete statistic, sufficient for the second parameter. Finally the general results are applied to some discrete distributions (binomial, Poisson, negative binomial, Pascal) and the relationship to several fairly known tests is discussed.

     

Evolutionary Characteristics of China＇s Intermediate Manufactures

China's economic development is characterized by progressive integration with international production chains as an assembly producer. Japan and South Korea are the major partners providing intermediate products to China. The present paper analyzes the Chinese intermediate sector's present condition and evolutionary characteristics revealed in bilateral trade with Japan and South Korea. The analysis uses the framework of new trade theory represented by “intra‐industry trade”. Trade statistics from 1997 to 2004 are analyzed using the database published by the OECD. Results show that China's inter‐industrial evolution is characterized by its expanding positioning in the manner of the flying geese development paradigm of Asian countries. Furthermore, intra‐industrial evolution is characterized by a concentration on price competitiveness. The framework and results of the industrial analysis presented in this paper assist in the understanding of China's manufacturing evolution and of the policy‐making decisions taken in the process.     

中韩产业结构高度化的比较分析——以两国制造业为例

展望未来韩国产业的发展与结构变化,中国产业结构变化是必须考虑的重要因素之一。本文为了探析中国的产业结构高度化趋势与程度,根据OECD技术分类标准,以制造业为中心,对中、韩两国的产业结构进行了详尽的比较分析。研究结果表示,两国都呈现出比较明显的产业高度化态势。在制造业中,高端技术产业的比重显著增加。韩国高端技术产业比重的增长快于中国,中国在中端技术产业与低端技术产业的比重大于韩国。     

Program Evaluation and Review Technique (PERT) in Construction Schedule Risk Assessment

Construction project scheduling is one of the most critical factors for project success measurement.Not only for the project planning but for construction process management,the scheduling is the basic tool for communication between the owner and the project manager.By developing the schedule before the project starts,the owner knows in advance that the expected timeline of the project.By preparing construction process scheduling,the owner and general contractor can better manage the subcontractors,sub-trades progress,materials storage and deliveries,labors schedule and equipment set up which will eventually save time,money and hassle.Basically,Critical Path Method(CPM) is commonly used in the construction industry.CPM is a deterministic method that assumes that through the network,there is at least one path that determines the project duration and that the path is the critical path.CPM does not consider the uncertainty in the activities;rather it assumes that each activity can be finished in the given situation.Program Evaluation and Review Technique(PERT) is a stochastic technique which is based on the assumption that the duration of a single activity can be described by a probability density function.PERT takes into account the uncertainty during the construction process and has been created out of the need to plan,schedule and control complex projects with many uncertainties.The PERT approach is stated in some books and papers,but there is no deep investigation on the application in the schedule risk assessment.This paper investigates the PERT work process and takes a valuable try on the construction schedule risk assessment by using case studies.The utilization in the estimate the construction liquidated damage with the uncertainties is performed,which also can be used in the insurance company to calculate the insurance premium.     

货币危机的政治经济学解释:文献评述

作者从文献的角度对货币危机的政治经济学解释做了一次比较全面的梳理,从中可以看出国际金融政治经济学的研究特点和思维方式。在理论构建上,政治经济学的学者们完全沿用了经济学模型中的不完全信息和动态博弈论,引入了预期的形成以及市场交易者和政府之间的战略互动,从而成功地把各种政治和经济变量纳入到一个模型之内。他们的贡献是,把政治变量引入到市场交易者和政府的预期形成中,强调了政治变量以及作为一种信息的政治变量在市场交易者和政府预期中的作用或者地位,并强调了政治变量在市场交易者和政府之间战略互动或动态博弈过程中的作用,从而更好地解释了货币危机的原因,提高了预测货币危机的准确性。在实证研究上,政治经济学通过预期效用函数、战略概率模型等方式,较为成功地实现了对政治因素这个分类变量的模型化,较好地实现了对政治因素的量化分析。