Application of Emerging Technologies in the development of a model of Neural Network for the financial forecast in the Stock Exchange of Lima

EasyChair Preprint 5342

Abstract

This research develops a Neural Network model based on the studies and applications of emerging technologies such as neural networks, which, applied to the time series, predict the future price of shares in the stock market of the Spanish Stock Exchange. Lime. For the development of this model we considered six investment companies whose historical financial data were analyzed and processed to feed the neural network that allowed us to determine the viability, operability and reliability to apply it as a forecasting tool. The results obtained were highly significant considering that the proposed model was accepted due to its high degree of certainty.

Keyphrases: emerging technologies, neural networks, stock exchange, time series

@booklet{EasyChair:5342,
  author    = {Raul Loayza and Victor Vidal and Margarita Murillo},
  title     = {Application of Emerging Technologies in the development of a model of Neural Network for the financial forecast in the  Stock Exchange of Lima},
  howpublished = {EasyChair Preprint 5342},
  year      = {EasyChair, 2021}}