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Stock Price Short-term Forecasting Based On GARCH Model

机译:基于GARCH模型的股票价格短期预测

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摘要

Using the stock price data to set up a sequence to explain the relationship of stock price data, the future stock price can be forecasted. This paper conducts the real modeling research on the shanghai composite index utilized the GARCH-class models. The results of this paper had indicated that stock price undulation in the Shanghai Stock market has the obvious GARCH effect. The condition variance sequence of returns rate is stationary, the GARCH model has the predictability. And GARCH (1, 1) model may well in the fitting and the forecast the shanghai stock price index. This simulation model may realize the short-term high accuracy to forecast well that. The forecast value of shanghai index was closer to actual value, indicating that the GARCH model in the paper was a certain accuracy. This paper was helpful to dodge the risk regarding, and develop the profit space for the investors.
机译:使用股价数据建立一个序列来解释股票价格数据的关系,可以预测未来库存价格。本文对上海复合指数进行了实际建模研究,利用了GARCH级模型。本文的结果表明,上海股票市场的股票价格波动具有明显的GARCH效果。返回率的条件方差序列是静止的,加速模型具有可预测性。 Garch(1,1)模型可能在拟合和预测上海股价指数中。该仿真模型可以实现易于预测的短期高精度。上海指数的预测价值更接近实际价值,表明论文中的GARCH模型是一定的准确性。本文有助于躲避有关的风险,并为投资者开发利润空间。

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