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Can international market indices estimate tasi's movements? The ARIMA model

Assous, Hamzeh F.; Al-Rousan, Nadia; Al-Najjar, Dania; … - In: Journal of Open Innovation: Technology, Market, and … 6 (2020) 2, pp. 1-17

This study investigates the effectiveness of six of the key international indices in estimating Saudi financial market (TADAWUL) index (TASI) movement. To investigate the relationship between TASI and other variables, six equations were built using two independent variables of time and...

Persistent link: https://www.econbiz.de/10012620348

Can international market indices estimate tasi's movements? : the ARIMA model

Assous, Hamzeh F.; Al-Rousan, Nadia; Al-Najjar, Dania; … - In: Journal of open innovation : technology, market, and … 6 (2020) 2/27, pp. 1-17

Persistent link: https://www.econbiz.de/10012231615

Ramadan effect and indices movement estimation : a case study from eight Arab countries

Al-Najjar, Dania; Assous, Hamzeh F.; Al-Najjar, Hazem; … - In: Journal of Islamic marketing 14 (2023) 8, pp. 1989-2008

Persistent link: https://www.econbiz.de/10014314967

Machine Learning to Develop Credit Card Customer Churn Prediction

AL-Najjar, Dana; Al-Rousan, Nadia; Al-Najjar, Hazem - 2023

The credit card customer churn rate is the percentage of a bank’s customers that stop using that bank’s services. Hence, developing a prediction model to predict the expected status for the customers will generate an early alert for banks to change the service for that customer or to offer...

Persistent link: https://www.econbiz.de/10014359378

Assessing the impact of Syrian refugee influx on the Jordanian stock exchange market

Al-Rousan, Nadia; Al-Najjar, Dana; Al-Najjar, Hazem - In: Risks : open access journal 11 (2023) 7, pp. 1-18

The past decade has witnessed significant turmoil and political conflicts in several Middle Eastern countries, such as Egypt, Syria, and Libya, called the Arab Spring. These revolutions did not only affect the countries mentioned previously; their neighboring countries were also directly...

Persistent link: https://www.econbiz.de/10014335903

Consequences of COVID-19 on banking sector index: Artificial neural network model

Assous, Hamzeh F.; Al-Najjar, Dania - In: International Journal of Financial Studies 9 (2021) 4, pp. 1-16

The World Health Organization officially declared COVID-19 a global pandemic on 11 March 2020. In this study, we examine the effect of COVID-19 indicators and policy response on the Saudi banking index. COVID-19 variables that were applied are: new confirmed and fatal COVID-19 cases in Saudi...

Persistent link: https://www.econbiz.de/10013200392

Consequences of COVID-19 on banking sector index : artificial neural network model

Assous, Hamzeh F.; Al-Najjar, Dania - In: International Journal of Financial Studies : open … 9 (2021) 4, pp. 1-16

Persistent link: https://www.econbiz.de/10012698386

Saudi green banks and stock return volatility : GLE algorithm and neural network models

Assous, Hamzeh F. - In: Economies : open access journal 10 (2022) 10, pp. 1-18

This study investigates the effects of ESG factors on stock return volatility from 2012 to 2020 using linear regression, GLE algorithm, and neural network models. This paper used the ESG factors and main control variables (ROA, EPS, and year) as independent variables. The regression model...

Persistent link: https://www.econbiz.de/10013499112

The effect of institutional ownership on firm performance : evidence from Jordanian listed firms

Al-Najjar, Dana - In: International journal of economics and finance 7 (2015) 12, pp. 97-105

Persistent link: https://www.econbiz.de/10011411656

The impact of external financing on firm value anda corporate governance index : SME evidence

Al-Najjar, Basil; Al-Najjar, Dana - In: Journal of small business and enterprise development 24 (2017) 2, pp. 411-423

Persistent link: https://www.econbiz.de/10011706998