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Showing results 1 to 15 of 15

Publication Year	Title	Author(s)	Department
2023	IAS 32負債及權益分類之研究 Study on Classification of Liability and Equity under IAS 32	郭庭銨; Ting-An Kuo	會計學系
2024	不同財務資訊對每股盈餘預測和套利報酬之比較- 機器學習模型應用 Comparison of Different Financial Information for Earnings per Share Prediction and Arbitrage Return - Application of Machine Learning Models	張祐誠; Yu-Cheng Chang	會計學系
2024	使用機器學習與深度學習模型，比較平減與產業對每股盈餘金額預測與套利結果的影響 Comparing the Effects of Smoothing and Industry on Earnings per Share Prediction and Arbitrage Outcomes using Machine Learning and Deep Learning Models	闞元甫; Yuan-Fu Kan	會計學系
2023	國際財務報導準則第 17 號「保險合約」多種外幣保險合約之處理 IFRS17 Treatment Of Multi-currency Group of Insurance Contracts	劉祐瑄; You-Xuan Liu	會計學系
2023	國際財務報導準則第十七號「保險合約」：虧損性合約以及期中財務報表之處理 IFRS 17：Treatment Of Onerous Contracts And Interim Financial Statements	曹子泓; Tzu-Hung Tsao	會計學系
2024	國際財務報導準則第十八號「財務報表之表達與揭露」 IFRS 18 Presentation and Disclosure in Financial Statements	許慈芸; Tzu-Yun Hsu	會計學系
2025	機器學習應用於新制 IFRS 下之每股盈餘預測與套利分析——考量三因子風險溢酬 Machine Learning-Based EPS Prediction and Arbitrage Strategy Analysis under the 2018 IFRS Reform: Considering the Fama-French Three-Factor Risk Premium for TWSE-Listed Companies	高丞瀅; Cheng-Ying Kao	會計學系
2024	機器學習模型應用於單季每股盈餘預測及投資套利策略探討 Machine Learning Models Applied on Seasonal Earnings per Share Prediction and Arbitrage Strategy	蔡念雅; Nien-Ya Tsai	會計學系
2023	每股盈餘預測及套利投資策略探討-機器學習模型應用 Earnings per Share Prediction and Arbitrage Strategy – an Application of Machine Learning Models	張達元; Ta-Yuan Chang	會計學系
2024	結合產業特性與TESG評級探討碳排放量之價值攸關性 Exploring the Value Relevance of Carbon Emissions: Integrating Industry Characteristics and TESG Ratings	葉盈妮; Ying-Ni Yeh	會計學系
2023	網路搜尋量及月營收歷史資料預測未來月營收—機器學習與深度學習之應用 Predicting Future Monthly Revenue Using Search Volume and Historical Revenue Data: Applications of Machine Learning and Deep Learning	王思勻; Ssu-Yun Wang	會計學系
2024	財報盈餘預測及套利可能探討—序列深度學習模型應用 Financial Report Earnings Prediction and Arbitrage Potential – an Application of Sequential Deep Learning Models	黃家駿; Kay Jun Ng	會計學系
2025	透過機器學習與深度學習模型預測上市櫃公司月營收與套利－考量三因子風險溢酬 Forecasting Monthly Revenue and Arbitrage Strategies for Listed and OTC companies Using Machine Learning and Deep Learning Models - Considering the Fama-French Three-Factor Model	陳洛霆; Lo-Ting Chen	會計學系
2024	透過機器學習與深度學習預測月營收並形成套利投資組合 Forecasting Monthly Revenue and Forming Arbitrage Investment Portfolios Using Machine Learning and Deep Learning	魏靖軒; Jing-Xuan Wei	會計學系
2024	高碳排放產業之碳排放及公司治理資訊價值研究 Study on the Value Relevance of Carbon Emission and Corporate Governance Information in High-Carbon Emission Industries	傅柏豫; Po-Yu Fu	會計學系

Showing results 1 to 15 of 15