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研究生: 李家銘
Lee, Chia-Ming
論文名稱: 公司的 ESG 揭露中 SASB 重大性議題的資訊含量和分析師的預測誤差
Information Content of SASB Materiality Issues Inherent in the Company's ESG Disclosures and Analysts' Forecast Errors
指導教授: 顏盟峯
Yen, Meng-Feng
學位類別: 碩士
Master
系所名稱: 管理學院 - 財務金融研究所
Graduate Institute of Finance
論文出版年: 2022
畢業學年度: 110
語文別: 中文
論文頁數: 77
中文關鍵詞: SASB重大性議題分析師預測誤差ESG資訊揭露
外文關鍵詞: SASB, Materiality, Analyst Forecast Error, ESG Disclosure, Sustainability
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  • 賣方分析師預測之盈餘對於資本市場中的投資者來說,是重要的指標之一,而分析師預測誤差也將進一步影響到資本市場中的買方與賣方之投資決策。從過往文獻中可以發現公司揭露財務、非財務相關的資訊皆有可能降低分析師預測誤差,然而所揭露之資訊的品質,是決定分析師預測誤差的因素之一。在非財務的資訊揭露中,永續議題的資訊揭露在學界中是一大研究領域,由於臺灣的金融管理監督委員會建議於2023年發布之永續報告書應採納SASB重大性議題框架,故本研究旨在探討永續資訊揭露中的重大性議題資訊,是否比其他非重大性議題的資訊揭露更能降低分析師預測誤差,也就是重大性議題的資訊品質與含量比其他永續議題更高。研究使用了ASSET4資料庫的永續資料,並映射到SASB發布之重大性地圖,檢視2006年至2020年之美國S&P 500公司的永續資訊揭露數據,包含對於重大性議題的資訊揭露、非重大性議題的資訊揭露、整體的永續資訊揭露。研究結果表明,永續議題的資訊揭露之所以能降低分析師誤差,是源自於重大性議題的揭露,而非重大性議題的揭露可能無法有效的降低分析師誤差。

    Sell-side analyst earnings forecasts are an important indicator for investors in the capital markets, and analysts' forecast errors further affect the investment decisions of buyers and sellers in the capital markets. From the past literature, we could found that the disclosure of financial and non-financial information by companies may reduce analysts forecast error, but the quality of the disclosed information is one of the factors that determine analysts forecast error. Among non-financial disclosures, the disclosure of sustainability information is a major area of research in academia. In response to Financial Supervisory Commission R.O.C.'s recommendation to adopt the Sustainability Accounting Standards Board (SASB) materiality framework for sustainability reports to be released in 2023, this study aims to investigate whether the disclosure of materiality information in sustainability disclosures is more effective than the disclosure of non-materiality information in reducing analysts forecast errors. In other words, the quality and content of information on materiality issues is higher than other sustainability issues. Using sustainability data from the ASSET4 and mapping it to the SASB Materiality Map, the study examined sustainability disclosure data for S&P 500 companies from 2006 to 2020, including disclosure on materiality issues, disclosure on non-materiality issues, and overall sustainability disclosure. The results of the study indicate that materiality disclosure significantly reduces analyst forecast error, while non-materiality disclosure may not reduce it.

    第一章 緒論 1 第二章 文獻回顧與假說推論 5 第一節 文獻回顧 5 第二節 假說推論 9 第三章 研究設計 10 第一節 實證模型 10 第二節 變數定義與預測 11 第三節 樣本選取與資料來源 24 第四章 實證結果分析 28 第一節 敘述性統計 28 第二節 相關係數分析 36 第三節 迴歸結果 39 第五章 額外分析與穩健性分析 48 第六章 結論與建議 55 第七章 參考文獻 56 第八章 附錄 64

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