Management Discussion and Analysis (MD&A) sections provide significant insights into a firm's performance and outlook, making them critical for investors and analysts. Existing dictionaries used for text analysis in finance are often general. They lack the specificity needed for accurate sentiment analysis of Annual Report of a company, especially within the MD&A section. The current research addresses this gap by developing a domain-specific lexicon dictionary designed to quantify tone and risk sentiment for the MD&A sections of corporate annual reports. The dictionary was constructed using both inductive and deductive approaches, incorporating word lists specific to the finance domain. The study also undertook rigorous reliability and validity tests, including test–retest reliability, parallel forms reliability, and interrater agreement, ensuring the robustness of the developed lexicon. The dictionary's predictive power was tested by correlating its sentiment scores with future firm performance indicators like return on equity (ROE), return on assets, and Tobin’s Q.
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Prof. Bhuyan is an Assistant Professor in the area of Accounting and Finance at Birla Global University, Bhubaneswar. He pursued his FPM from IMI Bhubaneswar. Prof. Baid is an Associate Professor in the area of Finance & Economics at IMI Bhubaneswar. He has over two decades of rich experience in both industry and academia.
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Paperback. Zustand: new. Paperback. Management Discussion and Analysis (MD&A) sections provide significant insights into a firm's performance and outlook, making them critical for investors and analysts. Existing dictionaries used for text analysis in finance are often general. They lack the specificity needed for accurate sentiment analysis of Annual Report of a company, especially within the MD&A section. The current research addresses this gap by developing a domain-specific lexicon dictionary designed to quantify tone and risk sentiment for the MD&A sections of corporate annual reports. The dictionary was constructed using both inductive and deductive approaches, incorporating word lists specific to the finance domain. The study also undertook rigorous reliability and validity tests, including test-retest reliability, parallel forms reliability, and interrater agreement, ensuring the robustness of the developed lexicon. The dictionary's predictive power was tested by correlating its sentiment scores with future firm performance indicators like return on equity (ROE), return on assets, and Tobin's Q. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9786209208058
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Management Discussion and Analysis (MD&A) sections provide significant insights into a firm's performance and outlook, making them critical for investors and analysts. Existing dictionaries used for text analysis in finance are often general. They lack the specificity needed for accurate sentiment analysis of Annual Report of a company, especially within the MD&A section. The current research addresses this gap by developing a domain-specific lexicon dictionary designed to quantify tone and risk sentiment for the MD&A sections of corporate annual reports. The dictionary was constructed using both inductive and deductive approaches, incorporating word lists specific to the finance domain. The study also undertook rigorous reliability and validity tests, including test-retest reliability, parallel forms reliability, and interrater agreement, ensuring the robustness of the developed lexicon. The dictionary's predictive power was tested by correlating its sentiment scores with future firm performance indicators like return on equity (ROE), return on assets, and Tobin's Q.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch. Bestandsnummer des Verkäufers 9786209208058
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