\text{Signal}_{i,t} = \frac{\text{AccountingVar1}_{i,t}}{\text{AccountingVar2}_{i,t}}
2025还在手写论文?教你用ChatGPT自动生成股票研究的学术论文 Still writing papers by hand in 2025? Teach you to use ChatGPT to automatically generate academic papers on stock research$$ \text{Signal}{i,t} = \frac{\text{AccountingVar1}{i,t}}{\text{AccountingVar2}{i,t}} $$ - 差分型信号: $$ \text{Signal}{i,t} = \frac{\text{AccountingVar1}{i,t} - \text{AccountingVar1}{i,t-1}}{\text{AccountingVar2}{i,t-1}} $$2025 will be the year when artificial intelligence is widely used in finance and quantification. TheQuantHackers teaches you how to use ChatGPT to automatically generate academic papers for researching stocks. This popular science article will be based on the paper "AI-Powered (Finance) Scholarship" by Novy-Marx & Velikov (2024) and introduces how to use large language models (LLMs) to achieve automated academic research production, including the entire process from data mining to paper writing. This article will also incorporate a few mathematical formulas and discuss the application and potential impact of this technique in financial research, especially stock return forecasting. 1. Background and motivation 1.1 Large-scale language model and academic research In the field of academic research, the traditional "research-theory-submission" process often requires researchers to spend a lot of time and energy exploring data, formulating hypotheses, writing papers, and responding to review comments. With the rise of large language models such as ChatGPT and Claude, AI is changing this process: 1. Automatically generate research ideas: Utilizing the "generative"…
This document is part of our proprietary institutional curriculum. Upgrade your membership or complete verification to access the complete codebase and derivations.
Not a member yet? Watch a short ad and we'll unlock this article for you no payment required.
Prefer an ad-free experience? Compare membership plans