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Alpha-GPT 2.0: Human-in-the-Loop AI for Quantitative Investment [PDF]
Recently, we introduced a new paradigm for alpha mining in the realm of quantitative investment, developing a new interactive alpha mining system framework, Alpha-GPT. This system is centered on iterative Human-AI interaction based on large language models, introducing a Human-in-the-Loop approach to alpha discovery.
arxiv
GPT-Signal: Generative AI for Semi-automated Feature Engineering in the Alpha Research Process [PDF]
In the trading process, financial signals often imply the time to buy and sell assets to generate excess returns compared to a benchmark (e.g., an index). Alpha is the portion of an asset's return that is not explained by exposure to this benchmark, and the alpha research process is a popular technique aiming at developing strategies to generate alphas
arxiv
The Alpha and Omega of Abrahamic Finance
“Abrahamic” finance can be defined as a form of finance which draws its parameters from Judaism, Christianity, and Islam. While the Islamic world has been at the forefront of applying religion to finance, the Judeo-Christian and Socially Responsible ...
Mufti Talha Ahmad Azami+1 more
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Smart Alpha: active management with unstable and latent factors
Quantitative finance (Print), 2021Factor investing has attracted increasing interest in the investment industry because purely active and passive solutions have underperformed. Its success depends critically on identifying the factors involved and timing this well, but this is hard to do
Christophe Boucher+3 more
semanticscholar +1 more source
The Review of financial studies, 2020
Data snooping is a major concern in empirical asset pricing. We develop a new framework to rigorously perform multiple hypothesis testing in linear asset pricing models, while limiting the occurrence of false positive results typically associated with ...
Stefano Giglio, Yuan Liao, D. Xiu
semanticscholar +1 more source
Data snooping is a major concern in empirical asset pricing. We develop a new framework to rigorously perform multiple hypothesis testing in linear asset pricing models, while limiting the occurrence of false positive results typically associated with ...
Stefano Giglio, Yuan Liao, D. Xiu
semanticscholar +1 more source
Quantifying ESG alpha using scholar big data: an automated machine learning approach
International Conference on AI in Finance, 2020ESG (Environmental, social and governance) alpha strategy that makes sustainable investment has gained popularity among investors. The ESG fields of study in scholar big data is a valuable alternative data that reflects a company's long-term ESG ...
Qian Chen, Xiao-Yang Liu
semanticscholar +1 more source
Investor Sentiment and Mutual Fund Alpha
Journal of Behavorial Finance, 2020The author examines the relationship between investor sentiment and mutual fund alpha. The author finds that investor sentiment plays a significant role in the value and occurring probability of alpha and the probability of earning alpha is high when ...
Qiang Bu
semanticscholar +1 more source
The Effect of Social Media on Corporate Innovation: Evidence from Seeking Alpha Coverage
Management SciencesSeeking Alpha (SA) is the most popular crowdsourced social media platform specializing in the financial analysis of U.S. firms, and it attracts over 17 million visitors per month.
Qiyang He+3 more
semanticscholar +1 more source
Portfolio Design Beta, Alpha, Variance on Inconsistent Stocks in Indonesia LQ45 Index
Journal of EcohumanismOptimal portfolios have become a major concern in finance, especially in the investment context. This research aims to explore the concept of an optimal portfolio by applying beta, alpha, and variance methods, as well as considering active and passive ...
D. F. Salim+3 more
semanticscholar +1 more source