Comparative Analysis of Stock Bubble in S&P 500 Individual Stocks: A Study Using SADF and GSADF Models

Stock bubbles are characterized by unpredictable price surges and subsequent declines, causing significant losses for investors. This study investigates the effectiveness of the Generalized Sup Augmented Dickey–Fuller (GSADF) test in identifying mild explosive patterns and speculative bubbles within...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of risk and financial management 2024-02, Vol.17 (2), p.59
1. Verfasser: Acharya, Durga
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 2
container_start_page 59
container_title Journal of risk and financial management
container_volume 17
creator Acharya, Durga
description Stock bubbles are characterized by unpredictable price surges and subsequent declines, causing significant losses for investors. This study investigates the effectiveness of the Generalized Sup Augmented Dickey–Fuller (GSADF) test in identifying mild explosive patterns and speculative bubbles within individual S&P 500 stocks, as compared to the Sup Augmented Dickey–Fuller (SADF) test. Utilizing real-time monitoring data, this research examines unit roots, stationarity, and the ability to detect multiple structural breaks. The GSADF test consistently outperforms the SADF test in rejecting the null hypothesis, demonstrating greater sensitivity and efficacy in recognizing stock bubbles. Monte Carlo simulations address size distortions in the GSADF test, enhancing accuracy.
doi_str_mv 10.3390/jrfm17020059
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2930976433</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2930976433</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1739-7d970654002695ef496c84134ff2f59b49bba9f1bcdd55cfe5ca7cab5759e0673</originalsourceid><addsrcrecordid>eNpNkE1LAzEURYMoWLQ7f0BAcOXoy2QyadyN1dZCRaF2PeRTUqeTmnQK_feO1kVX9yzOe3AvQlcE7igVcL-Kbk045ABMnKABEYRkI-DF6RGfo2FKKwAg0N_Q0QC5cVhvZJRbv7O4amWzTz7h4PBiG_QXfuyUaiz2LV7cvGMGgGet8TtvOtkclPSAq546s8fL5NtPvKieJli2Bk__6DUY26RLdOZkk-zwPy_QcvL8MX7J5m_T2biaZ5pwKjJuBIeSFQB5KZh1hSj1qCC0cC53TKhCKCWFI0obw5h2lmnJtVSMM2Gh5PQCXR_-bmL47mza1qvQxb5WqnNBQfCyoLS3bg-WjiGlaF29iX4t474mUP-OWR-PSX8AQJNkig</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2930976433</pqid></control><display><type>article</type><title>Comparative Analysis of Stock Bubble in S&amp;P 500 Individual Stocks: A Study Using SADF and GSADF Models</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Acharya, Durga</creator><creatorcontrib>Acharya, Durga</creatorcontrib><description>Stock bubbles are characterized by unpredictable price surges and subsequent declines, causing significant losses for investors. This study investigates the effectiveness of the Generalized Sup Augmented Dickey–Fuller (GSADF) test in identifying mild explosive patterns and speculative bubbles within individual S&amp;P 500 stocks, as compared to the Sup Augmented Dickey–Fuller (SADF) test. Utilizing real-time monitoring data, this research examines unit roots, stationarity, and the ability to detect multiple structural breaks. The GSADF test consistently outperforms the SADF test in rejecting the null hypothesis, demonstrating greater sensitivity and efficacy in recognizing stock bubbles. Monte Carlo simulations address size distortions in the GSADF test, enhancing accuracy.</description><identifier>ISSN: 1911-8074</identifier><identifier>ISSN: 1911-8066</identifier><identifier>EISSN: 1911-8074</identifier><identifier>DOI: 10.3390/jrfm17020059</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Capital stock ; Discount rates ; Dividends ; Equity ; Hypotheses ; Investments ; Investors ; Labor economics ; Portfolio management ; Profitability ; Recessions ; Securities markets ; Stock exchanges ; Stock prices ; Time series ; Volatility</subject><ispartof>Journal of risk and financial management, 2024-02, Vol.17 (2), p.59</ispartof><rights>2024 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1739-7d970654002695ef496c84134ff2f59b49bba9f1bcdd55cfe5ca7cab5759e0673</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Acharya, Durga</creatorcontrib><title>Comparative Analysis of Stock Bubble in S&amp;P 500 Individual Stocks: A Study Using SADF and GSADF Models</title><title>Journal of risk and financial management</title><description>Stock bubbles are characterized by unpredictable price surges and subsequent declines, causing significant losses for investors. This study investigates the effectiveness of the Generalized Sup Augmented Dickey–Fuller (GSADF) test in identifying mild explosive patterns and speculative bubbles within individual S&amp;P 500 stocks, as compared to the Sup Augmented Dickey–Fuller (SADF) test. Utilizing real-time monitoring data, this research examines unit roots, stationarity, and the ability to detect multiple structural breaks. The GSADF test consistently outperforms the SADF test in rejecting the null hypothesis, demonstrating greater sensitivity and efficacy in recognizing stock bubbles. Monte Carlo simulations address size distortions in the GSADF test, enhancing accuracy.</description><subject>Capital stock</subject><subject>Discount rates</subject><subject>Dividends</subject><subject>Equity</subject><subject>Hypotheses</subject><subject>Investments</subject><subject>Investors</subject><subject>Labor economics</subject><subject>Portfolio management</subject><subject>Profitability</subject><subject>Recessions</subject><subject>Securities markets</subject><subject>Stock exchanges</subject><subject>Stock prices</subject><subject>Time series</subject><subject>Volatility</subject><issn>1911-8074</issn><issn>1911-8066</issn><issn>1911-8074</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNkE1LAzEURYMoWLQ7f0BAcOXoy2QyadyN1dZCRaF2PeRTUqeTmnQK_feO1kVX9yzOe3AvQlcE7igVcL-Kbk045ABMnKABEYRkI-DF6RGfo2FKKwAg0N_Q0QC5cVhvZJRbv7O4amWzTz7h4PBiG_QXfuyUaiz2LV7cvGMGgGet8TtvOtkclPSAq546s8fL5NtPvKieJli2Bk__6DUY26RLdOZkk-zwPy_QcvL8MX7J5m_T2biaZ5pwKjJuBIeSFQB5KZh1hSj1qCC0cC53TKhCKCWFI0obw5h2lmnJtVSMM2Gh5PQCXR_-bmL47mza1qvQxb5WqnNBQfCyoLS3bg-WjiGlaF29iX4t474mUP-OWR-PSX8AQJNkig</recordid><startdate>20240205</startdate><enddate>20240205</enddate><creator>Acharya, Durga</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M0C</scope><scope>PIMPY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20240205</creationdate><title>Comparative Analysis of Stock Bubble in S&amp;P 500 Individual Stocks: A Study Using SADF and GSADF Models</title><author>Acharya, Durga</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1739-7d970654002695ef496c84134ff2f59b49bba9f1bcdd55cfe5ca7cab5759e0673</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Capital stock</topic><topic>Discount rates</topic><topic>Dividends</topic><topic>Equity</topic><topic>Hypotheses</topic><topic>Investments</topic><topic>Investors</topic><topic>Labor economics</topic><topic>Portfolio management</topic><topic>Profitability</topic><topic>Recessions</topic><topic>Securities markets</topic><topic>Stock exchanges</topic><topic>Stock prices</topic><topic>Time series</topic><topic>Volatility</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Acharya, Durga</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of risk and financial management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Acharya, Durga</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparative Analysis of Stock Bubble in S&amp;P 500 Individual Stocks: A Study Using SADF and GSADF Models</atitle><jtitle>Journal of risk and financial management</jtitle><date>2024-02-05</date><risdate>2024</risdate><volume>17</volume><issue>2</issue><spage>59</spage><pages>59-</pages><issn>1911-8074</issn><issn>1911-8066</issn><eissn>1911-8074</eissn><abstract>Stock bubbles are characterized by unpredictable price surges and subsequent declines, causing significant losses for investors. This study investigates the effectiveness of the Generalized Sup Augmented Dickey–Fuller (GSADF) test in identifying mild explosive patterns and speculative bubbles within individual S&amp;P 500 stocks, as compared to the Sup Augmented Dickey–Fuller (SADF) test. Utilizing real-time monitoring data, this research examines unit roots, stationarity, and the ability to detect multiple structural breaks. The GSADF test consistently outperforms the SADF test in rejecting the null hypothesis, demonstrating greater sensitivity and efficacy in recognizing stock bubbles. Monte Carlo simulations address size distortions in the GSADF test, enhancing accuracy.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/jrfm17020059</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1911-8074
ispartof Journal of risk and financial management, 2024-02, Vol.17 (2), p.59
issn 1911-8074
1911-8066
1911-8074
language eng
recordid cdi_proquest_journals_2930976433
source MDPI - Multidisciplinary Digital Publishing Institute; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Capital stock
Discount rates
Dividends
Equity
Hypotheses
Investments
Investors
Labor economics
Portfolio management
Profitability
Recessions
Securities markets
Stock exchanges
Stock prices
Time series
Volatility
title Comparative Analysis of Stock Bubble in S&P 500 Individual Stocks: A Study Using SADF and GSADF Models
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-15T02%3A18%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Comparative%20Analysis%20of%20Stock%20Bubble%20in%20S&P%20500%20Individual%20Stocks:%20A%20Study%20Using%20SADF%20and%20GSADF%20Models&rft.jtitle=Journal%20of%20risk%20and%20financial%20management&rft.au=Acharya,%20Durga&rft.date=2024-02-05&rft.volume=17&rft.issue=2&rft.spage=59&rft.pages=59-&rft.issn=1911-8074&rft.eissn=1911-8074&rft_id=info:doi/10.3390/jrfm17020059&rft_dat=%3Cproquest_cross%3E2930976433%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2930976433&rft_id=info:pmid/&rfr_iscdi=true