Investigating the Efficacy of ARIMA Models for Predicting Dow Jones Industrial Average Stock Prices International Journal of Financial Management (Record no. 54979)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01706nam a22001577a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240528160120.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240528b |||||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Rakesh Kumar, Kajol Verma |
| 9 (RLIN) | 38964 |
| 245 ## - TITLE STATEMENT | |
| Title | Investigating the Efficacy of ARIMA Models for Predicting Dow Jones Industrial Average Stock Prices International Journal of Financial Management |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 34-39p |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The prediction of stock price volatility holds significant importance in the realms of economics and finance, offering substantial benefits to both investors and economists. This paper employs the Autoregressive Integrated Moving Average (ARIMA) model to forecast the stock prices of the Dow Jones Industrial Average (DJI), a key index in the financial market. The study utliises daily data of the Dow Jones Industrial Average (DJI) spanning from 1 April 2021 to 31 March 2023. Empirical evidence strongly suggests the effectiveness of ARIMA models in predicting DJI stock prices. Furthermore, the study’s findings reveal that the ARIMA model excels particularly in short-term forecasting, demonstrating favourable performance when compared to existing techniques for stock price prediction. Through the utilisation of the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) criteria, the study identifies ARIMA (1, 1, 0) as the optimal model for accurately forecasting the share price of DJI within the specified timeframe. |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | ARIMA Model, Dow Jones Industrial Average (DJI), USA, Stationarity |
| 773 0# - HOST ITEM ENTRY | |
| Host Biblionumber | 54838 |
| Host Itemnumber | 83606 |
| Place, publisher, and date of publication | New Delhi Publishing India Group 2023 |
| Other item identifier | 55514215 |
| Title | International Journal of Financial Management |
| International Standard Serial Number | 2229-5682 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Journal Article |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Full call number | Barcode | Date last seen | Price effective from |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Main Library | Main Library | 28/05/2024 | Finance | 55514215JA3 | 28/05/2024 | 28/05/2024 |