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...
Saved in:
Main Authors: | Javier Humberto Ospina-Holguín, Ana Milena Padilla-Ospina |
---|---|
Format: | article |
Language: | EN |
Published: |
Vilnius Gediminas Technical University
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/db9d8a0a547b43dbbb152a59426a965c |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda
by: Ritika Chopra, et al.
Published: (2021) -
Market Efficiency and Organizational Corruption: Study on the Impact on Shareholder Value
by: Renata Crosara Miari, et al.
Published: (2015) -
Towards the Co-evolution of Food Experience Search Spaces Based on the Design Weltanschauung Model in Food Marketing
by: Qeis Kamran, et al.
Published: (2021) -
Interdependence of stock exchange indicators and GDP in selected Balkan countries
by: Živković Aleksandra
Published: (2021) -
Determinants of Stock Market Liquidity: Auto Regressive Distributed Lag Based Evidence from the Emerging Equity Market
by: Muhammad Husnain, et al.
Published: (2021)