2025/09/19
【深大微众冠名讲座】杰出学者 第11期 :Real Effects of Auditors’ Integrated Audit Experience: Evidence from Client Operational Efficiency
主讲人Speaker: 吴东辉 教授 香港中文大学时间Date & Time: 2025年9月26日(周五),10:00--11:30地点Venue:粤海校区汇星楼565会议室内容简介/ Abstract: This study investigates whether firms can improve operational efficiency by leveraging auditors’ integrated audit experience. We find that such experience is significantly associated with higher overall operational efficiency. To strengthen identification,...
2025/09/19
【深大微众冠名讲座】杰出学者 第10期 :The Factor Tree: A Data-Driven Approach to Regime Switching in High-Dimensions
主讲人Speaker: 涂云东 教授 北京大学时间Date & Time: 2025年9月23日(周二),14:30--16:00地点Venue:粤海校区汇星楼565会议室内容简介/ Abstract: Threshold factor models are pivotal for capturing rapid regime-switching dynamics in high-dimensional time series, yet existing frameworks relying on a single pre-specified threshold variable often suffer from model misspecification and unreliable inferences....
2025/09/19
【金科学术讲座】 金融监管对冲:两项实证研究
主讲人Speaker: 宗计川 教授 东北财经大学时间Date & Time: 2025年9月22日(周一),20:00--21:30地点Venue:线上会议内容简介/ Abstract: 监管对冲指的是被监管者在应对监管政策带来的冲击时,为了应对监管的政策影响(冲击)而采取成本转嫁或风险转嫁的策略性行为,结果是部分抵消或削弱了监管政策意图达到的效果,这个问题具有现实普遍性。基于此,我们开展了两项研究,分别是:1.监管对冲:企业跨主体风险转移;2.监管对冲:银企跨期风险转移。...
2025/09/10
【深大微众冠名讲座】青年学者 第2期 :Does Mandated Non-diversification Increase Firm Value?
主讲人Speaker: 廖冠民 教授 中国人民大学时间Date & Time: 2025年9月11日(周四),10:00--11:30地点Venue:粤海校区汇星楼565会议室内容简介/ Abstract: Whether and how diversification shapes firm value is a fundamental issue in corporate governance, yet remaining on debate. We address this research question by exploiting the staggering mandates in China which force local state-owned enterprises (SOEs) ...
2025/09/10
【深大微众冠名讲座】杰出学者 第9期 :Heterogeneous Panel Data Models with Regime Switching
主讲人Speaker: 苏良军 教授 清华大学时间Date & Time: 2025年9月12日(周五),10:00--11:30地点Venue:粤海校区汇星楼565会议室内容简介/ Abstract: This paper considers a linear panel model with latent regime-switching behavior and cross-sectional heterogeneity, where slope coefficients vary across individuals and unobserved economic states. A common latent regime indicator governs the switching dynamics,...
2025/08/26
【深大微众冠名讲座】杰出学者 第8期 :Deep Conditional Distribution Learning via Conditional F\"ollmer Flow
主讲人Speaker: 常晋源 教授 西南财经大学时间Date & Time: 2025年9月5日(周五),14:30--16:00地点Venue:粤海校区汇星楼565会议室内容简介/ Abstract: We introduce an ordinary differential equation (ODE) based deep generative method for learning conditional distributions, named Conditional F\"ollmer Flow. Starting from a standard Gaussian distribution, the proposed flow could approximate the tar...
2025/08/21
【深大微众冠名讲座】杰出学者 第7期 :Leverage dynamics and green bonds premium
主讲人Speaker: 杨金强 教授 上海财经大学时间Date & Time: 2025年8月30日(周六),早上9:00--10:30地点Venue:粤海校区汇星楼565会议室内容简介/ Abstract: While a substantial body of empirical research has focused on the pricing of green debt, there is no consensus on the existence of a green bond yield’ debt funding costs, this paper develops a dynamic capital structure model that incorporates...
2025/07/18
关于院训征集评选结果的公示
尊敬的师生、校友及关心学院发展的各界人士:为彰显学院办学特色,凝聚文化共识,学院于2025年4月1日至5月31日面向全体师生开展了院训征集活动。经初筛、线上投票及党政联席会终审,现将评选结果公示如下:一、评选概况本次活动共征集作品75份,涵盖师生、校友及合作方智慧。经两轮评审,因作品尚未完全契合学院教育精神,一等奖暂予空缺;二等奖、三等奖按投票排名及终审意见产生。二、获奖名单一等奖(1名):空缺二等奖(1名...
2025/06/24
【金科学术讲座】Market-Level Tug of War and Asset Pricing
主讲人Speaker: 陶然 助理教授 英国布里斯托大学时间Date & Time: 2025年7月4日(周五),下午14:00--15:30地点Venue:粤海校区汇星楼565会议室内容简介/ Abstract: We propose a simple indicator function based on the aggregate tug-of-war between overnight and intraday traders, and use it to identify two types of trading days: quiet and noisy days. We analyze these days and document that the security m...
2025/06/24
【深大微众冠名讲座】杰出学者 第6期 :How does E-wallet affect monetary policy transmission: A mental accounting interpretation
主讲人Speaker: 钱文澜 教授 新加坡国立大学时间Date & Time: 2025年7月3日(周四),上午10:00--11:30地点Venue:粤海校区汇星楼565会议室内容简介/ Abstract: With fintech growth and smartphone adoption, e-wallets, which enable instant transactions while offering cash management products with financial returns, have become increasingly prevalent. Using a unique dataset from Alipay, the world’s la...