ARIMA MODEL: FORECASTING THE STOCK PRICES : A STUDY CONDUCTED FOR TOP FIVE JEWELLERY BRANDS IN INDIA

Authors

  • Jayashree Kowtal

Keywords:

Stocks , Price Prediction, ARIMA, Time Series , Trade.

Abstract

Stock price prediction is considered as an important part while making investment decisions, Investors normally loose on the markets due to the lack of proper information about the price fluctuations .Securities exchange forecast is the demonstration of attempting to decide the future estimation of an organization stock or other monetary instrument exchanged on a trade. The fruitful expectation of a stock's future cost could return critical benefit.

In measurements and econometrics, and specifically in time arrangement investigation, an autoregressive incorporated moving normal model is a speculation of an autoregressive moving normal model.

Both of these models are fitted to time arrangement information either to all the more likely comprehend the information or to anticipate future focuses in the arrangement ARIMA, short for 'Auto Regressive Integrated Moving Average' is really a class of models that 'clarifies' a given time arrangement dependent on its own past qualities, that is, its own slacks and the slacked figure blunders, with the goal that condition can be utilized to gauge future qualities.

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Published

2021-07-19

How to Cite

Jayashree Kowtal. (2021). ARIMA MODEL: FORECASTING THE STOCK PRICES : A STUDY CONDUCTED FOR TOP FIVE JEWELLERY BRANDS IN INDIA. PalArch’s Journal of Archaeology of Egypt / Egyptology, 18(09), 924-929. Retrieved from https://archives.palarch.nl/index.php/jae/article/view/9406