Published 2019 | Version v1
Book

Hybrid Method Forecasting Stock Market Data

Description

In this article events of productivity of the insurance data in Jordan will be explored and forecasted using some of traditional model which is Exponential model (EM) compound with Wavelet transform (WT) in order to improve the forecasting accuracy. The decomposed dataset will be collected form Amman Stock Exchange (ASE) from Jordan. As a result the forecasting accuracy will be improved by using EM

Part of:
ITISE 2019. Proceedings of papers. Vol 1

Additional details

Publishing Information

Publisher
Universdad de Granada
Imprint Place
Granada (Spain)
Imprint Title
ITISE 2019. Proceedings of papers. Vol 1
Imprint Pagination
789 p.
Journal Page Range
4 p.

Conference

Title
International Conference on Time Series and Forecasting
Acronym
ITISE 2019
Dates
25-27 Sep 2019
Place
Granada (Spain)

INIS

Country of Publication
Spain
Country of Input or Organization
Spain
INIS RN
52034292
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ECONOMIC ANALYSIS; INSURANCE; MATHEMATICAL MODELS; MULTIVARIATE ANALYSIS
Descriptors DEC
ECONOMICS; MATHEMATICS; STATISTICS

Optional Information