Open AccessINVESTIGATING OPTIMAL REGIMES FOR PREDICTION IN THE STOCK MARKET
Author(s) -
RODRIGO CANTO CORBELLI
Publication year - 2019
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.17771/pucrio.acad.47988
Subject(s) - predictability , particle swarm optimization , computer science , stock market , stock exchange , machine learning , ranging , data mining , artificial intelligence , econometrics , statistics , mathematics , geography , finance , economics , context (archaeology) , telecommunications , archaeology
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