用时序ARIMA模型预测印度股市

Debadrita Banerjee
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引用次数: 56

摘要

预测未来最可靠的方法是尝试了解现在,因此,我们将我们的首要目标设定为分析印度股票市场的现状,以便了解并尝试创造一个更好的未来投资范围。在此背景下,我们收集了6年(2007-2012)sensex月度收盘股票指数的数据,并基于这些数据,我们试图开发一个适当的模型,该模型将帮助我们预测印度股票市场指数的未来未观察值。本文运用ARIMA模型对未来对印度经济表现有较大影响的股票指数进行预测。印度股票市场是许多经济学家、投资者和研究人员感兴趣的中心,因此对他们来说,清楚地了解市场的现状是非常重要的。为了建立模型,我们采用了2013年sensex观测数据的验证技术。
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Forecasting of Indian stock market using time-series ARIMA model
The most reliable way to forecast the future is to try to understand the present and thus, accordingly we have set our prior objective as the analysis of the present scenario of the Indian Stock Market so as to understand and try to create a better future scope for investment. On this context, we have collected data on the monthly closing stock indices of sensex for six years(2007-2012) and based on these we have tried to develop an appropriate model which would help us to forecast the future unobserved values of the Indian stock market indices. This study offers an application of ARIMA model based on which we predict the future stock indices which have a strong influence on the performance of the Indian economy. The Indian Stock market is the centre of interest for many economists, investors and researchers and hence it is quite important for them to have a clear understanding of the present status of the market. To establish the model we applied the validation technique with the observed data of sensex of 2013.
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