Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

DETECTING THE BUBBLE IN INDIVIDUAL STOCK LISTING OF THE S&P 500: A STUDY FROM 2018 TO 2023

Version 1 : Received: 27 September 2023 / Approved: 28 September 2023 / Online: 28 September 2023 (11:57:08 CEST)

A peer-reviewed article of this Preprint also exists.

Acharya, D. Comparative Analysis of Stock Bubble in S&P 500 Individual Stocks: A Study Using SADF and GSADF Models. J. Risk Financial Manag. 2024, 17, 59. Acharya, D. Comparative Analysis of Stock Bubble in S&P 500 Individual Stocks: A Study Using SADF and GSADF Models. J. Risk Financial Manag. 2024, 17, 59.

Abstract

Stock bubbles are characterized by unpredictable price surges and subsequent declines, causing significant losses for investors. The study aimed to detect mildly explosive patterns in S&P 500-listed stocks in real-time using the GSADF test. This study focused on the length, the normality of the stock bubble episode and compared the effectiveness of SADF and GSADF tests in bubble detection, consistently finding GSADF's superiority. The duration of breakouts exhibited non-normality, suggesting unusually long bubble durations.

Keywords

Stock bubble; Length; Stationarity; Augmented Dickey-Fuller Test

Subject

Business, Economics and Management, Finance

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