報(bào)告題目：The Impact of Generative Artificial Intelligence on Individual Manual Investment Decisions: Empirical Evidence from Mutual Funds
時(shí)間：5月17日（周五）10:00-11:30
地點(diǎn)：主樓317
報(bào)告人：佟思亮助理教授
報(bào)告人簡(jiǎn)介：
佟思亮博士于2021年2月1日加入新加坡南洋理工大學(xué)南洋商學(xué)院的信息技術(shù)和運(yùn)營(yíng)管理系。他在2020年獲得美國(guó)Temple University 福克斯商學(xué)院的市場(chǎng)營(yíng)銷博士學(xué)位。他是一個(gè)實(shí)證經(jīng)濟(jì)學(xué)研究者，研究范疇主要集中在人工智能、移動(dòng)應(yīng)用市場(chǎng)營(yíng)銷和共享經(jīng)濟(jì)等領(lǐng)域。他在研究方面非常活躍，他的論文曾多次獲得最佳論文和入圍獎(jiǎng)，例如PACIS會(huì)議，AMA會(huì)議和ISMS營(yíng)銷科學(xué)會(huì)議等。他的研究成果已發(fā)表在Strategic Management Journal, Marketing Science, Journal of Marketing 以及the Journal of the Academy of Marketing Science等期刊上。在加入學(xué)術(shù)界之前，他在數(shù)字營(yíng)銷和網(wǎng)站分析領(lǐng)域擁有6年的管理經(jīng)驗(yàn)，并于2016年獲得University of Wisconsin-Madison的MBA學(xué)位。
報(bào)告內(nèi)容簡(jiǎn)介：
The rapid ascent of generative artificial intelligence (GAI) has led individual investors to increasingly use GAI-based consulting tools such as GAI-based investment consultants (GAICs). Despite warnings from some institutions about the risks of solely relying on GAICs for investment advice, there is limited empirical research on their impact on individual investors’ market investments. To fill this gap, we collaborated with Ant Fortune, Ant Group’s investment team, analyzing data related to the rollout of their GAIC, Zhi Xiaobao. Our analyses offer the first empirical evidence that GAICs positively influence investment decisions, redemption activities, and overall investment profit. Interestingly, our findings challenge the belief that novice investors benefit most from AI tools, showing that experienced investors benefit more significantly from GAICs by utilizing their financial acumen. Additionally, we found that the platform’s influence on investment profit is more pronounced for risk-seeking investors, suggesting GAICs enhance their market decision-making efficacy. However, novice and risk-averse investors, despite being more active in redemption behaviors, do not attain equivalent profit compared to their experienced and risk-seeking counterparts. This underscores the importance of financial literacy in harnessing GAICs’ economic benefits. In summary, while GAICs improve decision-making for experienced and risk-tolerant investors, they offer limited advantages for novices and risk-averse individuals. Our research provides essential insights for platform managers considering GAIC applications and guides policymakers in enhancing the use of GAICs, especially for vulnerable investor segments. This highlights the need for tailored financial education to fully leverage the potential of these advanced AI tools in diverse investment contexts.
（承辦：管理工程系、科研與學(xué)術(shù)交流中心）
