| 1. | Analyzing main factors of influencing securities index
上证指数的主要影响因素分析 |
| 2. | The back - propagation algorithm and its program of the rough neuron network are presented
本文同时给出了粗神经网络bp算法和用粗神经网络预测上证指数的程序。 |
| 3. | After plunging by 9 % on february 27th , the shanghai stockmarket has since rebounded past its previous high
上证指数在2月27日下跌了9 %以后，现已反弹并创下新高。 |
| 4. | 300 it is an index , and go up card index is same , did not concern with your stock , the stock that you select you to want to sell is ok
300是个指数，和上证指数是一样的，和你的股票没有关系，你选择你要卖的股票就可以了。 |
| 5. | Last week the benchmark shanghai composite index topped 5 , 000 , a rise of 90 % since the start of the year ; and china ' s total stockmarket capitalisation now exceeds its gdp for the first time
上周上证指数站上5000点高位，自年初启动以来上涨90 % ，而中国股市总市值也首次超过gdp 。 |
| 6. | Finally the author use his own new idea explain knotty questions appearing in the history and further analyze and explain the economic reasons causing the structure change in stock index
随后运用笔者新的提法解释了历史上出现的疑难问题，最后也依笔者的思路分析并解释了上证指数结构突变的经济原因。 |
| 7. | Mainland stocks yesterday joined a global sell - off amid intensifying worries of an impending us recession with the key shanghai index suffering the biggest one - day fall in six months
内地股市昨天也加入了全球性的下跌当中，其关键的上证指数遭遇了半年以来的最大单日跌幅，对日益临近的美国经济衰退而不断增强的恐慌是这次全球性大跌的外因。 |
| 8. | Based on the common theoretical model of rational bubbles , this paper employs duration dependence to investigate the existence of rational bubbles in china stock market . then use the anecdotal evidence to validate its result
本文从理性泡沫的一般理论模型出发,主要采用久期依赖法对上证指数进行了理性泡沫的实证检验,并用观察性证据进行了验证。 |
| 9. | Based on the model of divided form and inserted value , this paper analyzes the small wave commutation and divided form and then forms the repeated replacement arithmetic of the inserted value for the shanghai securities exponent tend on the newly - typed prediction
摘要基于上证指数的分形插值模型，通过小波变换和分形分析，构造了新型的预测上证指数趋势的插值迭代算法。 |
| 10. | Using the data of shanghai security market index ( 1998 / 01 / 01 2001 / 12 / 31 ) , we estimate an ar - garch - m model for the return of shanghai market , and analyse the integration property of the data and the risk effect of the market
同时，使用该算法对上证指数( 1998年1月1日至2001年12月31日)的收益率的ar - garch - m模型的参数进行了估计，并分析了数据的整合性与市场的风险效应。 |
