Because there is a discrepancy between how individual investors and investment
institutions choose Bitcoin and its new derivatives and Exchange-Traded Funds (ETFs), this …

Abstract A hybrid Support Vector Machine (SVM) model is proposed and applied to the task
of forecasting the daily returns of five popular stock indices in the world, including the …

The development of neural networks applications from perceptron to deep learning Page 1
The Development of Neural Networks applications from Perceptron to Deep Learning (Invited …

Researchers and practitioners globally, from a range of perspectives, acknowledge the
difficulty in determining the value of a financial asset. This subject is of utmost importance …

The efficient management of maritime logistics operations improves the performance of
global supply chains. An important issue in container terminal operations is the scheduling …

In this paper, two different Locally Weighted Support Vector Regression (wSVR) algorithms
are generated and applied to the task of forecasting and trading five European Exchange …

Pricing Asian Option is imperative to researchers, analysts, traders and any other related
experts involved in the option trading markets and the academic field. Not only trading highly …

Unintended bias against protected groups has become a key obstacle to the widespread
adoption of machine learning methods. This work presents a modeling procedure that …

Financial forecasting is a major topic for research studies and number of forecasting
methods are explored in these studies. The present study attempts to identify the role and …

In the paper, we undertake a detailed empirical verification of wavelet scaling as a
forecasting method through its application to a large set of noisy data. The method consists …