Hybrid ARDL-MIDAS-Transformer time-series regressions for multi-topic crypto market sentiment driven by price and technology factors
Year of publication: |
2023
|
---|---|
Authors: | Chalkiadakis, Ioannis ; Peters, Gareth ; Ames, Matthew |
Published in: |
Digital finance : smart data analytics, investment innovation, and financial technology. - [Cham] : Springer Nature Switzerland AG, ISSN 2524-6186, ZDB-ID 2947479-6. - Vol. 5.2023, 2, p. 295-365
|
Subject: | Econometrics | Gegenbauer long memory | Mixed-data sampling time-series regression (MIDAS) | Multi-scale resolution data | Natural language processing (NLP) | Text sentiment NLP time-series modelling | Time-series | Transformer deep neural network | Zeitreihenanalyse | Time series analysis | Theorie | Theory | Regressionsanalyse | Regression analysis | Neuronale Netze | Neural networks | Ökonometrie |
-
Multiple time series forecasting using quasi-randomized functional link neural networks
Moudiki, Thierry, (2018)
-
Moein, Elnaz, (2020)
-
Climate finance : mapping air pollution and finance market in time series
Fang, Zheng, (2021)
- More ...
-
Chalkiadakis, Ioannis, (2021)
-
Package AdvEMDpy : algorithmic variations of empirical mode decomposition in Python
Jaarsveldt, Cole van, (2023)
-
Violations of uncovered interest rate parity and international exchange rate dependences
Ames, Matthew, (2017)
- More ...