Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Alanoud Al-maadid"'
Publikováno v:
Urban Water Journal. 18:806-816
The purpose of this study was to analyze different human behavioral components and the data collected from several households regarding their water consumption to fathom public demeanor better and ...
This paper presents an analysis of a nationally representative (n = 1,002) telephone survey conducted in Qatar on habits, perceptions, and religious attitudes related to water use. Our empirical analysis yields three main findings. When asked whether
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e8f813aec206d34117255468ad8dd4a
https://hdl.handle.net/10576/38498
https://hdl.handle.net/10576/38498
Publikováno v:
Research in International Business and Finance. 61:101667
COVID-19 has resulted in high volatility in financial markets across the world. The goal of this study is to investigate the impact of COVID-19-related news on the stock markets in Gulf Cooperation Council (GCC) countries. The study utilizes machine
Autor:
Mohammad Kamel Alomari, Shah Nazir, Zaki Khalid Abu-Shawish, Mostafa Kamal Hassan, Alanoud Al-Maadid, Sulaiman Khan, Habib Ullah Khan, Asif Qumer Gill
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fb6f9e8a3b6be4ef515b89bff80e3e8
https://hdl.handle.net/10453/147791
https://hdl.handle.net/10453/147791
As the sports industry continues to grow, mega sports events can have a significant impact on the financial markets. Stock market performance is influenced by sports-related news, however, very few studies have been undertaken to examine the impact o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3761f0cf9db83bad4bdec643ddb948f6
https://hdl.handle.net/10576/24470
https://hdl.handle.net/10576/24470
This note investigates the effects of the recent political tensions in the Arabian peninsula on the linkages between the stock markets of the leading Gulf Cooperation Council countries by estimating a VAR-GARCH(1,1) model at a weekly frequency. The r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4e7aedb827d1b57d5e9dbef3ae6db76
https://hdl.handle.net/10576/38500
https://hdl.handle.net/10576/38500
Publikováno v:
ICIoT
Deep learning approaches have been utilized to predict stocks. In this study, we use convolutional neural network (CNN) to predict stocks direction in Qatar stock exchange (QE) as a case of emerging markets. Prediction in emerging markets is more cha
Qatar and other Middle Eastern countries stock market are influenced by oil prices. The goal of this paper is to compare how stock prices in the GCC are affected by shocks in oil prices and comparing the results with other stock markets in other oil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bc64901da50c77ca694795f9ea6e2ec
https://hdl.handle.net/10576/20830
https://hdl.handle.net/10576/20830
The aim of this chapter is to identify the effects of oil price volatility on stock market volatility for eight oil exporter or importer countries. Using weekly data for the 2004–15 period, we model the relationship between oil and stock prices usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10707a3f34d6f6943b808a10cecfff9a
https://doi.org/10.1016/b978-0-12-809200-2.00003-8
https://doi.org/10.1016/b978-0-12-809200-2.00003-8
Autor:
Alanoud Al-Maadid
Publikováno v:
Qatar Foundation Annual Research Forum Volume 2013 Issue 1.
Globally, instability in the energy market is quickly reflected in the food market. Therefore, there exists a direct relationship between oil and food. This study adopts variance in causality tests on daily data from 01 January 1986 to 7 June 2012 in