淡江大學會計學系

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專任師資

基本資料表

名稱陳虹吟

辦公室電話2975

辦公室B1121

信箱164004@mail.tku.edu.tw

個人網站https://teacher.tku.edu.tw/StfTchrSmy.aspx?tid=t956776

陳虹吟

教師

類別專任教師

職稱助理教授

授課領域會計學、成本與管理會計、管理個案研討

學歷台灣大學會計學系博士

研究專長審計、財務時間序列

年度	論文名稱
2020	Hwai-Chung Ho; Hung-Yin Chen; Henghsiu Tsai, Non-parametric Estimation of Conditional Tail Expectation for Long-Horizon Returns
2018	陳穗婷; 陳計良; 陳虹吟, 新式查核報告對財務報表資訊揭露之影響
2016	Hwai-Chung Ho; Hung-Yin Chen; Henghsiu Tsai, Value at Risk for Integrated Returns and Its Applications to Equity Portfolios
2011	林美鳳; 陳虹吟, 投資人情緒對分析師行為之關連性研究：以中國市場為例

年度	論文名稱
2024	Henghsiu Tsai, Huei - Wen Teng, PingHan Chen, Hung-Yin Chen, Advancing Credit Scoring Accuracy through Explainable AI: A Rescaled Cluster-then-Predict, 2024-08-08
2022	Henghsiu Tsai, Hwai-Chung Ho and Hung-Yin Chen, Non-Parametric Inference on Risk Measures for Integrated Returns, 2023-06-29
2015	Hwai-Chung Ho; Hung-Yin Chen; Henghsiu Tsai, Conditional Tail Expectation for Integrated Processes with Stochastic Volatility., 2016-06-24
2014	Hwai-Chung Ho; Hung-Yin Chen; Henghsiu Tsai, Value at Risk for Integrated Returns and Its Applications to Equity-linked Insurance, 2014-12-04
2013	Hwai-Chung Ho; Hung-Yin Chen; Henghsiu Tsai, Evaluting Quantile Reserve for Equity-Linked Insurance in a Multivariate Stochastic Volatility Model., 2014-06-29

年度	書名
2020	Henghsiu Tsai; Hwai-Chung Ho; Hung-Yin Chen, Non-parametric Inference on Risk Measures for Integrated Returns, Purpose: Increased penetration of mobile phones has built great opportunities for increasing the level of financial inclusion around the world. Digital channels help banks in not only attracting new customers but also in ensuring that the existing ones remain loyal. This chapter studies the incentives to encourage the use of mobile banking by smartphone and tablet users. Design/methodology/approach: An online survey is conducted to explore possible relations between the potential determinants of the intention to use mobile banking. The model is assessed with Partial Least Squares Structural Equation Modelling (PLS-SEM) technique. Findings: The results show that perceived usefulness and perceived efforts tend to be the most significant factors in the adoption of mobile banking. However, such factors as perceived risks, compatibility with lifestyle and social influence are found to be insignificant due to some cultural and institutional features attributed to CIS countries. Originality/value: This chapter contributes to the field of m-banking studies by focusing on both smartphone and tablet users. At least, the majority of respondents represent Y and Z generations who seem to move from traditional banking to digital channels.,