學術論文
研究焦點
全球學者
知識轉移
明德商論
龍虎山下
媒體報導
Does Liquidity Management Induce Fragility in Treasury Prices? Evidence from Bond Mutual Funds
Does Liquidity Management Induce Fragility in Treasury Prices? Evidence from Bond Mutual Funds
Mutual funds investing in illiquid corporate bonds actively manage Treasury positions to buffer redemption shocks. This liquidity management practice can transmit non-fundamental fund flow shocks onto Treasuries, generating excess return volatility. Consistent with this hypothesis, we find that Treasury excess return volatility is positively associated with bond fund ownership, and this pattern is more pronounced among funds conducting intensive liquidity management. Causal evidence is provided by exploiting the U.S. Securities and Exchange Commission’s 2017 Liquidity Risk Management Rule. Evidence also suggests that the COVID-19 Treasury market turmoil was attributed to intensified liquidity management, an unintended consequence of the 2017 Liquidity Risk Management Rule.

The Interactions of Customer Reviews and Price and Their Dual Roles in Conveying Quality Information
The Interactions of Customer Reviews and Price and Their Dual Roles in Conveying Quality Information
Customer reviews help communicate product information, but their effectiveness may suffer from selection bias (i.e., depending on factors, such as the individual experience and price, not all consumers may voluntarily write reviews). Consequently, a seller may have to resort to additional means (e.g., signaling through price in the context of an experience good) to convey its quality. This paper develops an analytical model to investigate the interaction of customer reviews and price with the presence of selection bias in marketing an experience good with uncertain quality to consumers. Our analysis reveals the dual roles played by both customer reviews and price in communicating quality information. On one hand, customer reviews may either directly convey product information with unbiased distribution of reviews or facilitate price signaling when reviews are biased because of selection. On the other hand, price may be adjusted to mitigate the selection bias of reviews to make them more informative, and it may also signal quality directly in the presence of review bias. As a result, we show that bias in reviews may actually benefit consumers without compromising information communication as the incentive to reduce review selection bias makes it credible and profitable for the high-quality seller to signal its type by undercutting the price that would be set if it is of low quality. We then extend our analysis to examine the information, profits, and welfare impacts of several important design elements of a review system as well as the impact of consumers’ aversion to risk. Finally, the implications of our findings on the management of user-generated content and pricing are discussed.

Manipulation, Panic Runs, and the Short Selling Ban
Manipulation, Panic Runs, and the Short Selling Ban
Short selling regulation has been a longstanding topic of debate in financial markets, particularly during times of crisis. While proponents argue that short selling aids in price discovery and market efficiency, critics raise concerns about manipulative short selling practices that can destabilize markets. This paper presents a theoretical model to analyze the impact of short selling, specifically manipulative short selling (MSS), on bank runs and efficiency. The model demonstrates that MSS can emerge as an equilibrium outcome driven by uninformed speculators seeking to profit from artificially depressing stock prices. The prevalence of MSS is influenced by the level of informed trading and coordination friction among creditors. We find that short selling bans can enhance welfare by mitigating the negative effects of MSS, particularly in scenarios with high coordination frictions. We also provide policy and empirical implications.

Corporate Lobbying of Bureaucrats
Corporate Lobbying of Bureaucrats
Executive agencies play a pivotal role in shaping the regulatory environment by crafting rules, enforcing regulations, and overseeing government contracts—all of which can have a profound impact on businesses. For firms, this potential impact creates a clear incentive for firms to influence these agencies, particularly during the critical stages of rulemaking and enforcement. In this context, lobbying emerges as a key tool that companies use to mold the regulatory landscape to their advantage. Unlike politicians, whose decisions are often swayed by electoral cycles and campaign contributions, agency officials are not elected, serve longer terms, and are less susceptible to direct political pressures. As a result, engaging in lobbying efforts with executive agencies is both more complicated and strategically crucial for firms operating within heavily regulated industries. However, the dynamics of such lobbying remain underexplored in the literature.
春節幸福感和疫情感知風險調查:來自機器學習的洞察
春節幸福感和疫情感知風險調查:來自機器學習的洞察
2023年剛結束的兔年春節內地民眾過得怎樣?調查顯示,兔年春節期間,民眾的幸福感平均值為5.47,介於“比較開心”與“開心”之間(1為最低值,7為最高值),“比較開心”以上人群占比為83.1%。
How to Recover from Work Stress, According to Science
How to Recover from Work Stress, According to Science
To combat stress and burnout, employers are increasingly offering benefits like virtual mental health support, spontaneous days or even weeks off, meeting-free days, and flexible work scheduling. Despite these efforts and the increasing number of employees buying into the importance of wellness, the effort is lost if you don’t actually recover. So, if you feel like you’re burning out, what works when it comes to recovering from stress? The authors discuss the “recovery paradox” — that when our bodies and minds need to recover and reset the most, we’re the least likely and able to do something about it — and present five research-backed strategies for recovering from stress at work.

研究企業之間的協調行為 – 郝宇博士
研究企業之間的協調行為 – 郝宇博士
計算機編程聽起來好像和經濟風馬牛不相及,但擁有出色的編程技術,不但能幫助個人進行經濟學學術研究,更能助你在商界捉緊更多就業機會。

疫況愈下 「清零」何價?
疫況愈下 「清零」何價?
香港在連續數月「清零」後,在社區出現Omicron變種病毒個案,爆發第五波疫情,特區政府因而重新推出表列處所須關閉等社交距離防疫措施,並取消多項大型活動。
構想虛擬貨幣的未來 – 游楊博士
構想虛擬貨幣的未來 – 游楊博士
作為教師,在鼓勵同學努力學習之餘,我亦會主動了解本地市場運作以及邀請僱主來到課堂分享業界經驗。

多模態人工智能模型:圖像生成能力評測與安全挑戰
多模態人工智能模型:圖像生成能力評測與安全挑戰
人工智慧圖像生成技術日新月異,推動市場營銷、廣告設計及藝術創作等領域的創新。港大經管學院創新及資訊管理學教授蔣鎮輝早前聯同其人工智慧大模型評測團隊對22款主流AI模型進行評估,深入剖析不同AI模型在圖像生成方面的表現及潛在風險。
AI加速時代下的量化基本面投資
AI加速時代下的量化基本面投資
Quantamental investing—a strategy that melds traditional fundamental analysis with data-intensive quantitative methods—has surged in popularity over the past decade. Today, it stands on the cusp of a transformative era: advanced AI models, once prohibitively expensive, are becoming more capable, affordable, and widespread. This technological leap is poised to redefine how we identify and exploit market inefficiencies. Imagine a team of tireless, ever-alert junior analysts who can analyze millions of corporate filings, news articles, and social media chatter in seconds—that's essentially what these next-generation AI systems offer.
超級80/20法則: AI時代下知識創作
超級80/20法則: AI時代下知識創作
19世紀末,經濟學家維爾弗雷多·帕累托(Vilfredo Pareto)觀察到義大利80%的財富集中在20%的人手中。 這一現象後來被美國管理學者約瑟夫·朱蘭(Joseph Juran)進一步發展,推論出著名的“80/20法則”:80%的結果(輸出)往往歸於20%的投入(輸入)。
重啟加密幣挖礦    推進中國碳減排
重啟加密幣挖礦    推進中國碳減排
加密貨幣挖礦成為中國碳減排的推動力? 隨著全球加密貨幣市場的快速發展,加密貨幣挖礦業已成為一個數十億美元的產業。然而,加密貨幣挖礦因其高能源消耗而受到批評,亦是中國政府在2021年禁止「挖礦」的主要原因之一。儘管如此,何國俊教授近日在《信報》撰文,指出合理的電價政策能使挖礦活動促進可再生能源的發展,並降低碳排放。
大國人工智能競技場上的激戰
大國人工智能競技場上的激戰
美國OpenAI 公司自2022 年推出ChatGPT以來,就一直雄踞生成式人工智能(Generative AI )市場領導地位。AI 創新領域早已成為兵家必爭之地,美國為了限制中國在此一領域的發展,禁止高端晶片出口中國,並限制中國用戶使用ChatGPT,香港用戶因而需透過虛擬專用網絡( VPN )才能使用。2024 年,中國一間初創公司推出了深度求索(DeepSeek)生成式AI模型,卻徹底扭轉局勢,劍指ChatGPT 的霸主寶座。
特朗普高關稅反噬北美汽車產業鏈
特朗普高關稅反噬北美汽車產業鏈
美國總統特朗普近期宣布對加拿大和墨西哥進口商品大幅加徵關稅,汽車及零部件稅率更高達25%。此舉據稱旨在促進美國製造業回流,同時減少貿易逆差,但實際上卻可能引發一連串深遠的負面影響。
重啟加密幣挖礦    推進中國碳減排
重啟加密幣挖礦    推進中國碳減排
加密貨幣挖礦成為中國碳減排的推動力? 隨著全球加密貨幣市場的快速發展,加密貨幣挖礦業已成為一個數十億美元的產業。然而,加密貨幣挖礦因其高能源消耗而受到批評,亦是中國政府在2021年禁止「挖礦」的主要原因之一。儘管如此,何國俊教授近日在《信報》撰文,指出合理的電價政策能使挖礦活動促進可再生能源的發展,並降低碳排放。
多模態人工智能模型:圖像生成能力評測與安全挑戰
多模態人工智能模型:圖像生成能力評測與安全挑戰
人工智慧圖像生成技術日新月異,推動市場營銷、廣告設計及藝術創作等領域的創新。港大經管學院創新及資訊管理學教授蔣鎮輝早前聯同其人工智慧大模型評測團隊對22款主流AI模型進行評估,深入剖析不同AI模型在圖像生成方面的表現及潛在風險。
大國人工智能競技場上的激戰
大國人工智能競技場上的激戰
美國OpenAI 公司自2022 年推出ChatGPT以來,就一直雄踞生成式人工智能(Generative AI )市場領導地位。AI 創新領域早已成為兵家必爭之地,美國為了限制中國在此一領域的發展,禁止高端晶片出口中國,並限制中國用戶使用ChatGPT,香港用戶因而需透過虛擬專用網絡( VPN )才能使用。2024 年,中國一間初創公司推出了深度求索(DeepSeek)生成式AI模型,卻徹底扭轉局勢,劍指ChatGPT 的霸主寶座。