Revised Study of Daily Time Series Data Analysis of Market Prices

Authors

  • Jeffrey Jarrett University of Rhode Island, US.

DOI:

https://doi.org/10.9734/bpi/cabef/v2/3058A

Keywords:

ARIMA, time series, daily variation, pandemic, capital markets

Abstract

The purpose of this paper is to clarify the existence of time series characteristics of daily stock prices of securities marketed on organized exchanges. This study differs from previous studies where the focus was on index numbers of daily stock market prices rather than the actual prices of traded securities. Furthermore, this study is important because of the theory of market efficiency and its application to short term forecasting of closing prices of traded securities. Furthermore , The study includes analyses by others on stock market reactions to Pandemic influences (Scherf , Matschke and Rieger, 2022, and forecast revision methodologies.

Published

2022-07-14

How to Cite

Jeffrey Jarrett. (2022). Revised Study of Daily Time Series Data Analysis of Market Prices. Current Aspects in Business, Economics and Finance Vol. 2, 206–217. https://doi.org/10.9734/bpi/cabef/v2/3058A