CentralBankRoBERTA is a large language model. It combines an economic agent classifier that distinguishes five basic macroeconomic agents with a binary sentiment classifier that identifies the emotional content of sentences in central bank communications.
☆33Feb 28, 2024Updated 2 years ago
Alternatives and similar repositories for CentralBankRoBERTa
Users that are interested in CentralBankRoBERTa are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository contains dataset for paper FedNLP: An interpretable NLP System to Decode Federal Reserve Communications, published in SIG…☆15Feb 7, 2024Updated 2 years ago
- These R codes replicate the models and the experiments discussed in Canelli, Fontana, Realfonzo and Veronese Passarella (2021, 2022, 2024…☆10Apr 11, 2025Updated last year
- Economic Impact of Federal Reserve Speeches and Press Releases☆14May 5, 2019Updated 7 years ago
- Course materials for "Data Science for Public Policy", University of Tokyo☆29Jun 30, 2025Updated last year
- This is a 12 classes course in Empirical Macroeconomics methods to identify shocks☆28Jun 16, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Granular instrumental variables, using Gabaix and Koijen paper (2020)☆22Aug 8, 2022Updated 3 years ago
- ☆22Jun 17, 2024Updated 2 years ago
- Large language models: a primer for economists☆20Jun 11, 2025Updated last year
- Accompaniment to nowcasting benchmark paper, illustrating how to estimate each of the methods examined in either R or Python.☆62Nov 5, 2023Updated 2 years ago
- ☆25May 4, 2021Updated 5 years ago
- Python implementation of Markov Switching Model using Bayesian inference (Gibbs Sampling) by Lim et al (2020)☆10Dec 4, 2022Updated 3 years ago
- Repository for the codes of EconMacro's blog posts☆25Apr 10, 2026Updated 2 months ago
- Estimates and predicts AQI in real time. Putting the "now" in AQI☆16Oct 29, 2025Updated 8 months ago
- Perform bayesian distribution regression☆13Mar 19, 2018Updated 8 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- 爬取谷歌专利☆12Aug 23, 2019Updated 6 years ago
- This code show the SVAR results from the paper: "Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply …☆28Aug 13, 2023Updated 2 years ago
- Analyze central bank announcements☆76May 19, 2026Updated last month
- A package for evaluating macroeconomic forecasts developed by the Bank of England.☆28Jun 29, 2026Updated last week
- ☆15Jan 19, 2020Updated 6 years ago
- ☆20Oct 30, 2025Updated 8 months ago
- This repository contains (I hope) useful text data from the Federal Reserve. For people interested in text analysis, I have scraped the t…☆10Apr 24, 2022Updated 4 years ago
- The application is a cloud service that provides the functionality of performing sentiment analysis on stock market and financial data. T…☆22Jul 15, 2013Updated 12 years ago
- Repository for in class material for Data Bootcamp☆14May 18, 2019Updated 7 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Repository for the CommonLit Ease of Readability Corpus☆25Apr 17, 2024Updated 2 years ago
- Computational Dynamics course, MSQE program☆17Apr 22, 2026Updated 2 months ago
- Online Materials By Chapter (slides, code, data, etc.) about Open Economy Macroeconomics by Martin Uribe and Stephanie Schmitt-Grohe☆14Nov 30, 2017Updated 8 years ago
- Quantile Local Projections☆13Aug 8, 2022Updated 3 years ago
- Computational Economics Course 2020 by Kenneth Judd☆11Feb 17, 2020Updated 6 years ago
- A convenient class for scraping all the existing FOMC meeting statements☆31Sep 25, 2023Updated 2 years ago
- Coursera's Econometrics Methods and Applications using python☆12Aug 22, 2017Updated 8 years ago
- ☆52Oct 24, 2023Updated 2 years ago
- This is the repository holding the code used to perform the analysis used in the manuscript "Machine learning in policy evaluation: new t…☆12Sep 12, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- This is a fine-tuned FinBERT model by sentiment focus, the data used FOMC minutes.☆10Oct 26, 2024Updated last year
- A collection and review of top CS conference papers in AI for Finance☆81Nov 24, 2024Updated last year
- Reproducibility Archive for paper: "A Tutorial on Estimating Time-Varying Vector Autoregressive Models"☆10May 13, 2020Updated 6 years ago
- Replication Files for "Evaluating Monetary Policy Counterfactuals: (When) Do We Need Structural Models?" by Caravello, McKay & Wolf☆23Mar 2, 2026Updated 4 months ago
- Sentiment Analysis by Machine Learning, LSTM and BERT☆68May 19, 2026Updated last month
- Inference in SVMA models identified by external instruments/proxies☆18Dec 21, 2022Updated 3 years ago
- Behavioral Economics and Finance Python Notebooks☆21Mar 26, 2019Updated 7 years ago