This study addresses problem of predicting direction of movement of stock price and stock market index for Indian stock markets. The study compares four prediction models, Artificial Neural Network (ANN), Support Vector Machine (SVM), Random Forest (RF) and Naive Bayes (NB) with two approaches for input to these models. The first approach for input data involves computation of ten technical par...

Purpose The article consists of analyzing the behavior determinants capital structure Chilean companies between 2007 and 2016. objective this study was achieved through a typology research based on bibliographic, documentary, exploratory explanatory, considering annual financial reports from Economática in chosen period. Design/methodology/approach As is with quantitative approach, statistical ...

Stock price prediction is an important and challenging problem for studying financial markets. Existing studies are mainly based on the time series of stock price or the operation performance of listed company. In this paper, we propose to predict stock price based on investors' trading behavior. For each stock, we characterize the daily trading relationship among its investors using a trading ...