"Red" and "green" flags of risk disclosures – identifying associations between positive and negative key phrases and consecutive cumulative abnormal stock returns. Issue 1 (17th September 2021)
- Record Type:
- Journal Article
- Title:
- "Red" and "green" flags of risk disclosures – identifying associations between positive and negative key phrases and consecutive cumulative abnormal stock returns. Issue 1 (17th September 2021)
- Main Title:
- "Red" and "green" flags of risk disclosures – identifying associations between positive and negative key phrases and consecutive cumulative abnormal stock returns
- Authors:
- Nagel, Deborah Yvonne
Fuhrmann, Stephan
Guenther, Thomas W. - Abstract:
- Abstract : Purpose: The usefulness of risk disclosures (RDs) to support equity investors' investment decisions is highly discussed. As prior research criticizes the extensive aggregation of risk information in existing empirical research, this paper aims to provide an attempt to identify disaggregated risk information associated with cumulative abnormal stock returns (CARs). Design/methodology/approach: The sample consists of 2, 558 RDs of companies listed in the S&P 500 index. The RDs were filed within 10 K filings between 2011 and 2017. First, this study automatically extracted 35, 685 key phrases that occurred in a maximum of 1.5% of the RDs. Second, this study performed stepwise regressions of these key phrases and identified 67 (78) key phrases that show positive (negative) associations with CARs. Findings: The paper finds that investors seem to value most the more common key phrases just below the 1.5% rarest key phrase threshold and business-related key phrases from RDs. Furthermore, investors seem to perceive key phrases that contain words indicating uncertainty (impacts) as a negative (positive) rather than a positive (negative) signal. Research limitations/implications: The research approach faces limitations mainly due to the selection of the included key phrases, the focus on CARs and the methodological choice of the stepwise regression analysis. Originality/value: The study reveals the potential for companies to increase the information value of their RDs forAbstract : Purpose: The usefulness of risk disclosures (RDs) to support equity investors' investment decisions is highly discussed. As prior research criticizes the extensive aggregation of risk information in existing empirical research, this paper aims to provide an attempt to identify disaggregated risk information associated with cumulative abnormal stock returns (CARs). Design/methodology/approach: The sample consists of 2, 558 RDs of companies listed in the S&P 500 index. The RDs were filed within 10 K filings between 2011 and 2017. First, this study automatically extracted 35, 685 key phrases that occurred in a maximum of 1.5% of the RDs. Second, this study performed stepwise regressions of these key phrases and identified 67 (78) key phrases that show positive (negative) associations with CARs. Findings: The paper finds that investors seem to value most the more common key phrases just below the 1.5% rarest key phrase threshold and business-related key phrases from RDs. Furthermore, investors seem to perceive key phrases that contain words indicating uncertainty (impacts) as a negative (positive) rather than a positive (negative) signal. Research limitations/implications: The research approach faces limitations mainly due to the selection of the included key phrases, the focus on CARs and the methodological choice of the stepwise regression analysis. Originality/value: The study reveals the potential for companies to increase the information value of their RDs for equity investors by providing tailored information within RDs instead of universal phrases. In addition, the research indicates that the tailored RDs encouraged by the SEC contain relevant information for investors. Furthermore, the results may guide the attention of equity investors to relevant text passages whose deeper analysis might be useful with regard to investors' capital market decisions. … (more)
- Is Part Of:
- Journal of accounting & organizational change. Volume 18:Issue 1(2022)
- Journal:
- Journal of accounting & organizational change
- Issue:
- Volume 18:Issue 1(2022)
- Issue Display:
- Volume 18, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 18
- Issue:
- 1
- Issue Sort Value:
- 2022-0018-0001-0000
- Page Start:
- 132
- Page End:
- 152
- Publication Date:
- 2021-09-17
- Subjects:
- 10-K -- Cumulative abnormal stock returns -- Disclosure strategy -- Key phrases -- n-grams -- Organizational change -- Risk disclosures -- United States Securities and Exchange Commission (SEC) -- Stepwise regression analysis
Organizational change -- Periodicals
Accounting -- Periodicals
658.1511 - Journal URLs:
- http://www.emeraldinsight.com/journals.htm?issn=1832-5912 ↗
http://www.ingentaconnect.com/content/mcb/jaoc ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/JAOC-11-2020-0193 ↗
- Languages:
- English
- ISSNs:
- 1832-5912
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4918.867800
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25422.xml