Fintech and AI in Business
Source: https://bm.hkust.edu.hk/zh-cn/bizinsight/fintech-and-ai-business Parent: https://bm.hkust.edu.hk/bizinsight/fintech-and-ai-business
The convergence of financial technology and artificial intelligence plays an important role in shaping the future of business. Our research applies advanced analytical methods and modeling frameworks to examine how AI-driven innovation affects the development of corporate strategies, market behavior, and financial decision-making.
NODA, Shunya
Miners' Reward Elasticity and Stability of Competing Proof-of-Work Cryptocurrencies
The efficient processing of payments is crucial in transaction systems, particularly in those reliant on key cryptocurrencies like Bitcoin (BTC). However, the decentralized nature of these systems, coupled with the algorithmic incentives and competition among multiple cryptocurrencies for miners, poses significant challenges in analyzing transaction speed ... 阅读更多
[ Fintech and AI in Business ]
DOU, Winston Wei
GOLDSTEIN, Itay
AI-Powered Trading, Algorithmic Collusion, and Price Efficiency
The integration of algorithmic trading with reinforcement learning, termed AI-powered trading, is transforming financial markets by reshaping how trading works. This study constructs a theoretical laboratory where financial markets function as information aggregation mechanisms, compelling investors to trade cautiously on private signals to preserve ... 阅读更多
[ Fintech and AI in Business ]
WANG, Hui
FinBERT: A Large Language Model for Extracting Information from Financial Text
We develop FinBERT, a state-of-the-art large language model that adapts to the finance domain. We show that FinBERT incorporates finance knowledge and can better summarize contextual information in financial texts. Using a sample of researcher-labeled sentences from analyst reports, we document that FinBERT substantially outperforms the Loughran and McDonald ... 阅读更多
[ Fintech and AI in Business ]
ZHENG, Jiexin
NG, Ka Chung
The Effects of Sentiment Evolution in Financial Texts: A Word Embedding Approach
We examine the evolutionary effects of sentiment words in financial text and their implications for various business outcomes. We propose an algorithm called Word List Vector for Sentiment (WOLVES) that leverages both a human-defined sentiment word list and the word embedding approach to quantify text sentiment over time. We then apply WOLVES to investigate ... 阅读更多
[ Fintech and AI in Business ]
LEHAVY, Reuven
一家公司披露重要的公司信息之後，分析师们通常会及时地对所披露的内容发布追踪报告。一项新的研究已经证实，这些报告对投资者而言具有重要的作用，因为它们对公司管理人员的声明进行解释、丰富和确认。 由黄昊，Reuven Lehavy，臧蕴智和郑嵘所做的这项研究，使用了一种算法模型来分析讨论的语言和主题，这些讨论与公司电话会议谈话中的季度收入，以及分析师对这些通话内容做出的报告相关，之后分析师们会对投资者的回应进行观察。他们的数据集包括标准普尔500强公司从2003年至2012年的17,750次电话会议和159,210份有关这些电话会议的分析报告。 作者发现，分析师扮演了投资者高度重视的两个关键角色。一方面，他们是信息发现的代理人，通过私人研究，例如与公司高层和中层管理人员的私人互动，收集了与这家公司相关的信息 ... 阅读更多
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