ABSTRACT Robotic Process Automation (RPA) and Artificial Intelligence (AI) integration
offer great potential for the future of corporate automation and increased productivity. RPA …

Analyzing the future behaviors of currency pairs represents a priority for governments,
financial institutions, and investors, who use this type of analysis to understand the …

Any discussion on exchange rate movements and forecasting should include explanatory
variables from both the current account and the capital account of the balance of payments …

The study examines the integration of an asymmetric Glosten, Jagannathan, and Runkle
(GJR) model into an artificial neural network (ANN) comprising of a NARX (Nonlinear …

Most of existing studies sample markets' prices as time series when developing models to
predict market's trend. Directional Changes (DC) is an approach to summarize market prices …

This paper presents new trading models for the stock market and test whether they are able
to consistently generate excess returns from the Singapore Exchange (SGX). Instead of …

The paper investigates the issue of volatility of stock index returns on the Warsaw Stock
Exchange (WIG20 index returns volatility). The purpose of this review is to compare how …

Purpose This study constructs time series model, artificial neural networks (ANNs) and
statistical topologies to examine the volatility and forecast foreign exchange rates. The …

Aims: The aim of this paper is to present techniques indicators of artificial neural networks
(ANNs) model using for predicting the exact movements of stock price in the daily Libyan …

Volatility has been traditionally analysed from the perspective of economic cycles and only
recently as an autonomous process with a major influence on different macroeconomic …