Decision trees unearth return sign predictability in the S&P 500
Year of publication: |
2018
|
---|---|
Authors: | Fiévet, Lucas ; Sornette, Didier |
Published in: |
Quantitative finance. - Abingdon [u.a.] : Routledge, ISSN 1469-7688, ZDB-ID 2055458-8. - Vol. 18.2018, 11, p. 1797-1814
|
Subject: | Autoregressive model | Decision tree | Efficient market hypothesis | Financial bubble | Markov chain | Multiple testing | Effizienzmarkthypothese | Entscheidungsbaum | Theorie | Theory | Markov-Kette | Prognoseverfahren | Forecasting model | Spekulationsblase | Bubbles | Kapitaleinkommen | Capital income | Autokorrelation | Autocorrelation |
-
Stock return predictability : evaluation based on interval forecasts
Charles, Amélie, (2022)
-
On testing for bubbles during hyperinflations
Morita, Rubens, (2024)
-
Zhou, Jian, (2017)
- More ...
-
Forecasting future oil production in Norway and the UK : a general improved methodology
Fiévet, Lucas, (2014)
-
Fiévet, Lucas, (2017)
-
Why Stock Markets Crash : Critical Events in Complex Financial Systems
Sornette, Didier, (2017)
- More ...