RFS2020年论文Emperical asset pricing via machine learning复现
☆34Feb 26, 2022Updated 4 years ago
Alternatives and similar repositories for Article-Reproduce-Emperical-Asset-Pricing-via-Machine-Learning-RFS2020
Users that are interested in Article-Reproduce-Emperical-Asset-Pricing-via-Machine-Learning-RFS2020 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Machine learning methods for identifing investment factors☆19Nov 9, 2021Updated 4 years ago
- A repository for machine learning based investment strategies☆28Nov 11, 2019Updated 6 years ago
- Machine learning methods for identifing investment factors☆46Apr 20, 2022Updated 3 years ago
- Empirical asset pricing via Machine Learning in the Korean market☆48Mar 1, 2024Updated 2 years ago
- Calculate U.S. equity (portfolio) characteristics☆109Aug 9, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- 从沪深300指数的日行情数据构建特征,用SVM预测指数的涨跌方向☆14Oct 16, 2018Updated 7 years ago
- Empirical Data and Some Simulation Codes☆113Jun 24, 2019Updated 6 years ago
- Automatically generate *.ics files for classes☆15Oct 12, 2023Updated 2 years ago
- Implmentation of Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context (AAAI24)☆16Feb 16, 2024Updated 2 years ago
- Trading Strategy Development☆13Nov 19, 2019Updated 6 years ago
- Project that uses deep learning to forecast stock returns and defines the optimal allocation for a maximum☆22Apr 23, 2021Updated 4 years ago
- 通过将对上市公司招股说明书情绪分析的结果与常用财务指标、企业科研指标等结合,综合使用多种分类模型:传统LR、随机森林、XGB、LGB集成学习模型对新上市公司破发情况进行学习和预测,筛选重要特征,并由此来得到一个新股破发分类器。☆14Aug 26, 2023Updated 2 years ago
- Reinforcement Learning,NLP,VAE,CNN,Stock,Economic,Review,Quant☆19Feb 14, 2020Updated 6 years ago
- ☆15Feb 16, 2026Updated 2 months ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Multi-modal meta-learning for time series regression☆26Jun 3, 2024Updated last year
- ☆41Feb 10, 2021Updated 5 years ago
- ☆74Oct 29, 2020Updated 5 years ago
- ☆13Nov 3, 2022Updated 3 years ago
- I use various Data Science and machine learning techniques to analyze customer data using STP framework. I preprocessed the data, perform…☆12Apr 26, 2020Updated 5 years ago
- Rewriting the code in "Machine Learning for Factor Investing" in Python☆94Feb 9, 2021Updated 5 years ago
- Causal Inference for Time Series Data (with CausalML Demo)☆14Jun 11, 2023Updated 2 years ago
- ☆12Dec 13, 2023Updated 2 years ago
- This is the public repository of AAAI 2024 paper "Is a Large Language Model a Good Annotator for Event Extraction"☆10Feb 16, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- https://arxiv.org/abs/1805.01104☆123Dec 2, 2020Updated 5 years ago
- 2023 ABCI Llama-2 継続学習プロジェクト☆14Jan 22, 2024Updated 2 years ago
- scrape, clean and model IPO data with supervised ML☆10Aug 20, 2020Updated 5 years ago
- ☆11Aug 10, 2024Updated last year
- This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in Chi…☆92Jul 1, 2021Updated 4 years ago
- 一步步理解基于pytorch实现yolo-v3过程☆12Aug 10, 2018Updated 7 years ago
- This project combines logistic regression, gradient boosting, and LSTMs to predict next-month returns.☆13Sep 25, 2019Updated 6 years ago
- this project is developing to crawl stock A finance and trade data from website, process finance and trade data to get factors, and then …☆17Jan 12, 2023Updated 3 years ago
- 2021年北航编译课程设计,基于SysY文法的MIPS编译器☆32May 26, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- 每周分享系列记录☆22Feb 21, 2026Updated last month
- Comparing Long Term Short Memory (LSTM) & Gated Re-current Unit (GRU) during forecasting of oil price .Exploring multivariate relationsh…☆49Jan 25, 2022Updated 4 years ago
- Deep learning for options pricing.☆47Dec 13, 2019Updated 6 years ago
- An Affordable LLM Pre-training Benchmark via Accurate Loss Prediction across Scales☆16Jun 6, 2024Updated last year
- https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3350138☆150Jul 17, 2021Updated 4 years ago
- GuGu是适用于量化工程及金融/投资领域数据分析的开源项目,通过对互联网上的公开数据进行采集、清洗和存储,完成了对股票/债券/基金等金融数据的统一调用和分析。其优点是速度快、可定制及高度的可复用性。您不仅可以将其作为单独的数据接口使用,还可以将其集成在您的项目中作为数据获取…☆50Feb 11, 2019Updated 7 years ago
- My codework for my economics undergraduate thesis titled "Empirical Asset Pricing via Deep Learning"☆49Apr 21, 2020Updated 5 years ago