股票价格对物价水平的影响

股票价格作为最重要的金融资产价格，会通过“财富效应”、“替代效应”、“预期效应”、“新产品效应”和“工资效应”等途径影响投资和消费等宏观经济变量，进而影响包括商品劳务价格在内的一般物价水平。在发达国家和发展中国家，股票价格影响物价水平的方向和程度有着重大区别。     

资本全球化与环境保护

文章分几个部分探讨资本全球化与环境保护的相互关系 :资本全球化的内容 ;资本全球化与环境保护的互动关系 ;国外直接投资对环境保护影响的正反面经济评估 ;国际银行资本流动对环境保护影响的正反面经济评估 ;证券资本对环境保护影响的正反面经济评估 ;保险资本流动对环境保护影响的正反面经济评估。     

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.     

Intraday Empirical Analysis and Modeling of Diversified World Stock Indices

This paper proposes an approach to the intraday analysis of diversified world stock accumulation indices. The growth optimal portfolio (GOP) is used as reference unit or benchmark in a continuous financial market model. Diversified portfolios, covering the world stock market, are constructed and shown to approximate the GOP, providing the basis for a range of financial applications. The normalized GOP is modeled as a time transformed square root process of dimension four. Its dynamics are empirically verified for several world stock indices. Furthermore, the evolution of the transformed time is modeled as the integral over a rapidly evolving mean-reverting market activity process with deterministic volatility. The empirical findings suggest a rather simple and robust model for a world stock index that reflects the historical evolution, by using only a few readily observable parameters. Mathematics Subject Classification: (1991) primary 90A12, secondary 60G30,62P20 JEL Classification: G10, G13     

Risk-taking incentives of executive stock options and the asset substitution problem

Various theoretical models show that managerial compensation schemes can reduce the distortionary effects of financial leverage. There is mixed evidence as to whether highly levered firms offer less stock‐based compensation, a common prediction of such models. Both the theoretical and empirical research, however, have overlooked the leverage provided by executive stock options. In principle, adjusting the exercise prices of executive stock options can mitigate the risk incentive effects of financial leverage. We show that the near‐universal practice of setting option exercise prices near the prevailing stock price at the date of grant effectively undoes most of the effects of financial leverage. In a large cross‐sectional sample of Canadian option‐granting firms, we find evidence that executives' incentives to take equity risk are negatively rather than positively related to the leverage of their employers.     

监管制度变迁对深圳证券市场效率的影响

本文回顾了十多年来我国证券市场监管制度的变化,运用统计分析和混沌理论来分析市场监管制度对深圳股票市场市场效率的影响.本文认为,深圳股票市场在经历了十年多的发展后市场效率在宏观上有所提高.对重大监管政策出台前后市场变动情况的统计分析表明,大量监管政策的出台在微观层面也有一定的改进.     

竞争力、市场微观结构与证券交易所变革

纽约证券交易所和纳斯达克实施的重大并购行动标志着全球证券交易所新一轮并购浪潮的兴起,证券交易所之间的竞争再度趋于白热化.交易所之间的竞争已演变为市场微观结构的竞争.本文对纽约证券交易所和纳斯达克的交易成本进行了比较,无论是上市成本还是交易成本,新兴的纳斯达克都比传统的纽约证交所更胜一筹.因而本文认为有效降低交易成本应是提高交易所核心竞争力的关键所在,而改进交易机制、拓展产品服务以及调整组织架构,可以作为降低交易成本、提高交易所竞争力的具体竞争策略.     

中国股市趋向弱势有效之实证研究

本在对中国股票市场有效性的研究结果进行考察的基础上，运用有效市场理论分析了相关研究中存在的问题，最后得出中国股票市场正趋于弱势有效的结论。     

The macroeconomic determinants of technology stock price volatility

Stock prices reflect the value of anticipated future profits of companies. Since business cycle conditions impact the future profitability of firms, expectations about the business cycle will affect the current value of firms. This paper uses daily and monthly data from July 1986 to December 2000 to investigate the macroeconomic determinants of US technology stock price conditional volatility. Technology share prices are measured using the Pacific Stock Exchange Technology 100 Index. One of the novel features of this paper is to incorporate a link between technology stock price movements and oil price movements. The empirical results indicate that the conditional volatilities of oil prices, the term premium, and the consumer price index each have a significant impact on the conditional volatility of technology stock prices. Conditional volatilities calculated using daily stock return data display more persistence than conditional volatilities calculated using monthly data. These results further our understanding of the interaction between oil prices and technology share prices and should be of use to investors, hedgers, managers, and policymakers.     

Characteristics of Earnings-Leading Versus Price-Leading Firms

This study attempts to identify firm characteristics that explain the disparity between the information content of accounting earnings and stock prices. Granger's causality concept was employed to classify sample firms into four groups: price-leading firms, feedback-system firms, earnings-leading firms, and no-causation firms. The feedback-system firms were either combined with the no-causation firms or eliminated entirely to form three sample groups. The entire sample firms then were divided into two classes. The first is for estimation, and the second is for prediction. Results indicate that firm size, capital structure, R-square of regressing prices at time t against earnings at time t – 1, R-square of regressing earnings at time t against prices at time t – 1, and percentage of shares held by institutions are the significant explaining variables. The application of the coefficient estimates to the hold-out sample indicates that 76.2% of the firms can be correctly classified into the corresponding groups. These results were consistent with those from canonical discrimination and other multivariate statistical methods.