Zobrazeno 1 - 10
of 62
pro vyhledávání: '"S. Al Wadi"'
Publikováno v:
PLoS ONE, Vol 17, Iss 12 (2022)
This research employs the gradient descent learning (FIR.DM) approach as a learning process in a nonlinear spectral model of maximum overlapping discrete wavelet transform (MODWT) to improve volatility prediction of daily stock market prices using Sa
Externí odkaz:
https://doaj.org/article/a2bc238e331840f5bf88eff7fb0e3e8f
Publikováno v:
Journal of Mathematics, Vol 2022 (2022)
This study explores the impact of electronic payment systems on Saudi Arabia’s customer satisfaction during the COVID-19 pandemic. Descriptive analytical approach of a sample of 1,025 people living in Saudi Arabia was used to answer the study quest
Externí odkaz:
https://doaj.org/article/b9e73c7226934c13ad33824c1ea0808d
Autor:
Jamil J. Jaber, Fatiha Beldjilali, Ali A. Shehadeh, Nawaf N. Hamadneh, Mohammad Saleh, Muhammad Tahir, S. Al Wadi
Publikováno v:
Complexity, Vol 2022 (2022)
In this study, we estimated the performance efficiency of the Jordanian mining and extracting sector based on Data Envelopment Analysis (DEA). The utilized dataset includes 6 out of 15 corporations that reflect around 90% of the total market capitali
Externí odkaz:
https://doaj.org/article/d2a3b0b7cb134d99ac2ba53b98ac39bb
Autor:
Khudhayr A. Rashedi, Mohd Tahir Ismail, Nawaf N. Hamadneh, S. AL Wadi, Jamil J. Jaber, Muhammad Tahir
Publikováno v:
Journal of Mathematics, Vol 2021 (2021)
Artificial intelligence (AI) based business process optimization has a significant impact on a country’s economic development. We argue that the use of artificial neural networks in business processes will help optimize these processes ensuring the
Externí odkaz:
https://doaj.org/article/c47e900036bd4e72aa0429ff497aa3f6
Autor:
Abdullah H. Alenezy, Mohd Tahir Ismail, S. Al Wadi, Muhammad Tahir, Nawaf N. Hamadneh, Jamil J. Jaber, Waqar A. Khan
Publikováno v:
Journal of Mathematics, Vol 2021 (2021)
This study aims to model and enhance the forecasting accuracy of Saudi Arabia stock exchange (Tadawul) data patterns using the daily stock price indices data with 2026 observations from October 2011 to December 2019. This study employs a nonlinear sp
Externí odkaz:
https://doaj.org/article/ddc3e32b1b97452c8cdec83ec9ce5501
Autor:
S. Al Wadi
Publikováno v:
International Journal of Mathematics and Mathematical Sciences, Vol 2017 (2017)
Recently, the volatility of financial markets has contributed a necessary part to risk management. Volatility risk is characterized as the standard deviation of the constantly compound return per day. This paper presents forecasting of volatility for
Externí odkaz:
https://doaj.org/article/607636b1983643e0895ea76212fb1e6d
Autor:
Tariq T. Alshammari, Mohd Tahir Ismail, Nawaf N. Hamadneh, S. Al Wadi, Jamil J. Jaber, Nawa Alshammari, Mohammad H. Saleh
Publikováno v:
Intelligent Automation & Soft Computing. 35:2589-2601
Publikováno v:
Computers, Materials & Continua. 72:3835-3847
Autor:
Jamil J. Jaber, Mohd Tahir Ismail, Abdullah H. Alenezy, Nawaf N. Hamadneh, S. Al Wadi, Muhammad Atif Tahir, Waqar A. Khan
Publikováno v:
Journal of Mathematics, Vol 2021 (2021)
This study aims to model and enhance the forecasting accuracy of Saudi Arabia stock exchange (Tadawul) data patterns using the daily stock price indices data with 2026 observations from October 2011 to December 2019. This study employs a nonlinear sp
Publikováno v:
Computers, Materials & Continua. 67:445-462
Online Food Delivery Platforms (OFDPs) has witnessed phenomenal growth in the past few years, especially this year due to the COVID-19 pandemic This Pandemic has forced many governments across the world to give momentum to OFD services and make their