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股市
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  stock market
    THE MARKOV PROCESS MODEL OF PREDICTING STOCK MARKET
    股市预测的马尔柯夫过程模型
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    By making use of Econometrics software Eviews 4.0,a research is made on the volatility of the month close index of ShangHai and ShenZheng stock market from the opening to October 2004(14 years),and the ADL(p,q) models for them are separately established.
    利用计量经济学软件EViews4.0,对深沪股市自开市至今2004年10月14年的大盘月收盘指数的波动进行了研究,建立了2个市场相应的ADL(p,q)模型,并对2个市场2004年11月的月收盘指数进行了短期预测分析.
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    All the test results show that after the change in trading system fundamental changes have taken place in the market structure of the stock market of our country.
    所有检验结果表明我国股市在交易制度转变后,市场结构也同时发生了根本变化。
短句来源
    Basic Equations, Theory and Principle of Computational Stock Market (Ⅰ) Basic
    计算股市的基本方程、理论和原理(Ⅰ)——基本方程
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    Basic Equations,Theory and Principles of Computational Stock Market(Ⅱ) Basic Principles
    计算股市的基本方程、理论和原理(Ⅱ)——基本原理
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  “股市”译为未确定词的双语例句
    Empirical Study on Distribution of Return in Shanghai Securities Exchange
    关于上海股市收益分布的实证研究
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    Predicting Securities Market in Shanghai and Shenzhen by ARMA Model
    用ARMA模型预测深沪股市
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    Fluctuation influenced by information-an empirical test based on the action market of shanghai
    信息对波动性的影响:基于上海股市的实证检验
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    Application of Tenement And Real Estate Index in Income Approach
    房地产估价的收益还原法计算公式修正研究——以股市地产指数及房地产景气指数为例
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    A Study of the O-F Model and Rational P/E
    O-F模型与合理市盈率研究——中国股市泡沫的实证分析
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  stock market
Multifractality and Self-Adjustment of the Attraction Channel of Stock Market
      
Adaptation of the stock market to a new environment was shown to be realized through reducing the fractal dimensionality, that is, chaoticity of motion, of the short-term dynamic structures.
      
Minimization of the fractal dimensionality with the increase of the efficient existence of the dynamic component substructures was shown to be the prerequisite for stability of the multifractal dynamic system of the stock market.
      
Distribution of investments in the stock market, information types, and algorithmic complexity
      
For a simplest mathematical model of a stock market, the problem of optimal distribution of investments among different securities (stocks, bonds, etc.) is considered.
      
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This paper presents the optimum period of dependent relalionship in stock indexes based on the principle of threshold autogress method,using computers to make polybasic analysis of stock indexes and with the help of data processing so as to provide a scientific basis for the anal-ysis and prediction of the stock-market situation.

根据门限自回归方法的基本原理,利用计算机对股票指数进行多元分析,通过数据处理,找出了股票指数之间最佳依赖关系周期,为股市形势分析及预测提供出较科学的依据。

Universal method of predicting the trend of Chinese stock market in short period or in long term is given and discussed. This method can be regarded as useful supplement for various technical analysis theory of stock.

给出了用马尔柯夫过程预测股市短期或中长期走势的一种方法,对其它技术分析方法作了有益的补充

This paper makes a short range forecast for the tendency of stock prices in a normal case. The so called normal case means no influence due to politics, policy, profit, lost profit news, and means the decision of buying and selling made by an investor according to the price, the change rate of the price, etc. The main assumption is that the amount of buyer′s purchase is inversely proportional to the instant price and is directly proportional to the instant rise rate of prices. On the contrary, the amount of...

This paper makes a short range forecast for the tendency of stock prices in a normal case. The so called normal case means no influence due to politics, policy, profit, lost profit news, and means the decision of buying and selling made by an investor according to the price, the change rate of the price, etc. The main assumption is that the amount of buyer′s purchase is inversely proportional to the instant price and is directly proportional to the instant rise rate of prices. On the contrary, the amount of seller′s sales is directly proportional to the instant price and to the instant descent rate of prices. Thus, a dynamic control equation, i.e. an iterative formula, is established. After coefficients are determined from the market data, a short range forecast of stock prices is made with the aid of shenzhen stock market, with an error about 12%.

对常规情形的股价走势作短期预测。所谓常规情形是指无政治、政策、利好、利空等消息影响,投资者依据价位、价位变化率等资料作出买卖决定。主要假设:买家的买入量与即时的价位成反比,与即时的价位上升率成正比。而卖家则相反,卖出量与即时的价位成正比,与即时的价位下降率成正比。据此建立动态的控制方程,即递推公式。由行情资料定出系数后,应用于深圳股市预测和检验,误差约12%。

 
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