Corporate Restructuring in Japan Part I: Can M‐Form Organization Manage Diverse Businesses?

The purpose of this paper is to examine the recent organizational restructuring in Japan in the framework of organizational economics, assuming that the product/market portfolio of the firm is fixed. How does a firm set about organizing its internal divisions? I first summarize some stylized facts on corporate diversification strategy and multi‐divisional (M‐form) organization in large Japanese firms from different perspectives. I then analyse the problem of choosing an organizational form. In particular, I argue that, precisely because of its related diversification, the multi‐business Japanese firm adopting the M‐form finds it difficult to differentiate its diverse businesses internally.     

Gender differences in self‐employment

This paper examines the factors that influence transitions into self‐employment, paying particular attention to gender differences. We find that: (i) men are more responsive to the wage differential between wage/salaried employment and self‐employment; (ii) liquidity constraints are more important for men; and (iii) the link between father's self‐employment status and the probability of self‐employment is stronger for men. Taken together, these results suggest that, for women, self‐employment is a closer substitute for part‐time work and labour‐market inactivity than it is for men. We attribute such differences to the different labour market opportunities and occupational strategies of women.     

基于BP神经网络的我国M2/GDP预测与对策

本文计算了1993年至2005年我国M2/GDP,发现该数据总体呈上升趋势,这一定程度上反映了我国体制上的深层次问题。另外,本文运用带有动量项和自适应学习率的BP神经网络方法预测出我国2006年的M2/GDP是1.6386左右,并提出了一些相应的政策建议。     

1998年中国上市公司并购实践的效应分析

对上市公司的收购是中国股市近些年出现的新现象 ,本文以 1 998年深沪两市发生的全部 67家公司的并购为样本 ,以公司净资产收益率 (NROA)和主业利润率(CROA)为指标 ,将所有样本根据并购原因划分为 6类 ,以并购前 2年和并购后 3年的数据为基础 ,系统分析了并购的效应与得失。在此基础上 ,还讨论了国有企业与民营企业作为收购方的并购效应和并购的有偿转让与无偿划拨方式的不同结果。文章的结论是 :业绩较差的公司较愿出让控股权 ;多数并购是战略性的 ,获上市地位是主要的并购动力 ;并购后主业得到明显加强 ;市场化的战略性并购效果较好 ,有偿并购的效果也较好。     

Testing separability of public consumption in household decisions

In this paper we propose a sequential strategy, based on the microeconomic approach of the demand theory, in order to test for separability between private and public consumption. The aim of the present work is to verify, using a conditional almost ideal demand system, whether the different components of public consumption exert conditioning effects on the allocative structure of private spending. The empirical estimation of the model and the separability tests are developed for both a demand system in five functional categories of private spending, and for a demand system in six categories, where the private expenditures on those goods and services which can also be offered by the public sector are enclosed in a single functional category. The results of the separability tests, obtained using UK data for the 1974–2000 period, show that public individual consumption plays an important role in modifying consumer choices, while public collective consumption does not affect private consumption behaviours. The relationships between the different components of private spending and public individual consumption are both of substitutability and complementarity; in particular, we find that public individual consumption and the corresponding private expenditures on ‘Health, education, recreation and social protection’ are complements.     

On the forecastability of share prices on the Viennese stock exchange

In this paper the Viennese stock exchange data are analysed by using ARMA and GARCH technology. After using AIC and BIC for estimating the linear structure of the time series, to the resulting innovations a GARCH(1,1) model is fit. The resulting residuals are then tested for serial independence and constancy of its distribution to check whether the models are reasonable. Main result is that the residuals of this ARMA-GARCH(1,1)-model are reasonably iid (which is checked by BDS and classical independence tests) for index data and significantly less well-behaved for stock data. Second, there is considerable autocorrelation in the data (especially in the Viennese indices WBK and ATX) which can be exploited even with 1.25% transaction costs (which is checked by a posteriori analysis of a strategy which exploits an underlying time-varying AR(1) model), however, much higher profit can be made with 0.5% transaction costs. Furthermore, the same techniques are applied to US Standard & Poor 500 index and the results for both data sets are compared giving the result that the US-market looks much more mature than the Viennese one.Financial Support by the Institute for Advanced Studies, Vienna, and the Fonds zur Förderung der wissenschaftlichen Forschung, Vienna, Grant P 9176 is gratefully acknowledged. This paper is a slightly abbreviated version of the Research Report No. 135 by the same authors (see References), which contains many detailed plots of the results.     

刘易斯模型与托达罗模型的否定之否定--城市化战略的理论回顾与现实思考

城市化是刘易斯二元经济发展理论的基本政策含义。否定刘易斯模型的托达罗模型导致了农业发展低水平均衡、经济增长低效率和经济结构低级化等消极后果。走出托达罗困境的可行选择 ,是经过修正和补充的刘易斯模型的复归。伴随着发展中国家经济发展战略重点的转换 ,经济发展理论走出了一条螺旋式上升的成长道路     

A Closer Look at the Relation between GARCH and Stochastic Autoregressive Volatility

We show that, for three common SARV models, fitting a minimummean square linear filter is equivalent to fitting a GARCH model.This suggests that GARCH models may be useful for filtering,forecasting, and parameter estimation in stochastic volatilitysettings. To investigate, we use simulations to evaluate howthe three SARV models and their associated GARCH filters performunder controlled conditions and then we use daily currency andequity index returns to evaluate how the models perform in arisk management application. Although the GARCH models produceless precise forecasts than the SARV models in the simulations,it is not clear that the performance differences are large enoughto be economically meaningful. Consistent with this view, wefind that the GARCH and SARV models perform comparably in testsof conditional value-at-risk estimates using the actual data.     

Central bank interventions and jumps in double long memory models of daily exchange rates

In this paper, we estimate ARFIMA–FIGARCH models for the major exchange rates (against the US dollar) which have been subject to direct central bank interventions in the last decades. We show that the normality assumption is not adequate due to the occurrence of volatility outliers and its rejection is related to these interventions. Consequently, we rely on a normal mixture distribution that allows for endogenously determined jumps in the process governing the exchange rate dynamics. This distribution performs rather well and is found to be important for the estimation of the persistence of volatility shocks. Introducing a time-varying jump probability associated to central bank interventions, we find that the central bank interventions, conducted in either a coordinated or unilateral way, induce a jump in the process and tend to increase exchange rate volatility.     

Modelling return and conditional volatility exposures in global stock markets

This article empirically investigates the exposure of country-level conditional stock return volatilities to conditional global stock return volatility. It provides evidence that conditional stock market return volatilities have a contemporaneous association with global return volatilities. While all the countries included in the study exhibited a significant and positive relationship to global volatility, emerging market volatility exposures were considerably higher than developed market exposures. JEL Classification G12