The search for time-series predictability-based anomalies
This paper introduces a new algorithm for exploiting time-series predictability-based patterns to obtain an abnormal return, or alpha, with respect to a given benchmark asset pricing model. The algorithm proposes a deterministic daily market timing strategy that decides between being fully invested...
Guardado en:
Autores principales: | Javier Humberto Ospina-Holguín, Ana Milena Padilla-Ospina |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Vilnius Gediminas Technical University
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/db9d8a0a547b43dbbb152a59426a965c |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda
por: Ritika Chopra, et al.
Publicado: (2021) -
Market Efficiency and Organizational Corruption: Study on the Impact on Shareholder Value
por: Renata Crosara Miari, et al.
Publicado: (2015) -
Towards the Co-evolution of Food Experience Search Spaces Based on the Design Weltanschauung Model in Food Marketing
por: Qeis Kamran, et al.
Publicado: (2021) -
Interdependence of stock exchange indicators and GDP in selected Balkan countries
por: Živković Aleksandra
Publicado: (2021) -
Determinants of Stock Market Liquidity: Auto Regressive Distributed Lag Based Evidence from the Emerging Equity Market
por: Muhammad Husnain, et al.
Publicado: (2021)