Fintech and AI in Business
Source: https://bm.hkust.edu.hk/bizinsight/fintech-and-ai-business Parent: https://bm.hkust.edu.hk/
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 ... Read More
[ 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 ... Read More
[ 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 ... Read More
[ 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 ... Read More
[ Fintech and AI in Business ]
LEHAVY, Reuven
When a firm discloses important corporate information, analysts are usually right on their tail with reports about what was said. A new study has confirmed that these reports serve a valuable function for investors because they interpret, flesh out and confirm managers’ statements. The study, by Allen Huang, Reuven Lehavy, Amy Zang and Rong Zheng, used an ... Read More
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