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	<title>Forecasting Archives - المجلة الدولية للبحوث العلمية</title>
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	<description>International Journal for Scientific Research</description>
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		<title>Using The ARIMA Method in Forecasting Money Supply in Libya</title>
		<link>https://ijsr.vsrp.co.uk/2024/10/using-the-arima-method-in-forecasting-money-supply-in-libya/</link>
		
		<dc:creator><![CDATA[Samira M. Rahuma]]></dc:creator>
		<pubDate>Thu, 10 Oct 2024 11:00:02 +0000</pubDate>
				<category><![CDATA[الإصدار 3، العدد 10 ـــــ أكتوبر 2024 ـــــ Vol. 3, No. 10]]></category>
		<category><![CDATA[Libya]]></category>
		<category><![CDATA[Forecasting]]></category>
		<category><![CDATA[ARIMA Method]]></category>
		<category><![CDATA[Money Supply]]></category>
		<guid isPermaLink="false">https://ijsr.vsrp.co.uk/?p=4140</guid>

					<description><![CDATA[<p>Authors Faculty of Economy and Administration, Tajoura, Tripoli University, Libya Sam.rhoma@uot.edu.ly Paper DOI https://doi.org/10.59992/IJSR.2024.v3n10p2 Abstract The research paper focuses on using the Box-Jenkins methodology (ARIMA) to forecast monthly data for narrow money supply (M1) and broad money supply (M2) in Libya from January 2010 to December 2030. The study aims to determine the effectiveness of&#8230;&#160;<a href="https://ijsr.vsrp.co.uk/2024/10/using-the-arima-method-in-forecasting-money-supply-in-libya/" rel="bookmark">اقرأ المزيد &#187;<span class="screen-reader-text">Using The ARIMA Method in Forecasting Money Supply in Libya</span></a></p>
<p>The post <a href="https://ijsr.vsrp.co.uk/2024/10/using-the-arima-method-in-forecasting-money-supply-in-libya/">Using The ARIMA Method in Forecasting Money Supply in Libya</a> appeared first on <a href="https://ijsr.vsrp.co.uk">المجلة الدولية للبحوث العلمية</a>.</p>
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		<title>Applying (ARFIMA) Model for Forecast the Saudi Stock Market Prices</title>
		<link>https://ijsr.vsrp.co.uk/2024/08/applying-arfima-model-for-forecast-the-saudi-stock-market-prices/</link>
		
		<dc:creator><![CDATA[Khalid Rahmatalla Genawi]]></dc:creator>
		<pubDate>Sun, 04 Aug 2024 18:00:06 +0000</pubDate>
				<category><![CDATA[الإصدار 3، العدد 8 ـــــ أغسطس 2024 ـــــ Vol. 3, No. 8]]></category>
		<category><![CDATA[Time Series Models]]></category>
		<category><![CDATA[Forecasting]]></category>
		<category><![CDATA[Fractionally Difference]]></category>
		<category><![CDATA[ARFIMA models]]></category>
		<category><![CDATA[Stock Market prices]]></category>
		<guid isPermaLink="false">https://ijsr.vsrp.co.uk/?p=3873</guid>

					<description><![CDATA[<p>Authors Ph.D. Researcher, Department of Statistic, Collage of Graduate Studies, Sudan University of Science &#38; Technology, Khartoum. Sudan rugia_hamid@hotmail.com Ph.D. of Statistics, Sudan University of Science &#38; Technology, Khartoum, Sudan genawi@gmail.com Paper DOI https://doi.org/10.59992/IJSR.2024.v3n8p1 Abstract The interest in the topic of time series forecasting has increased during the recent years and thus appeared specific modern&#8230;&#160;<a href="https://ijsr.vsrp.co.uk/2024/08/applying-arfima-model-for-forecast-the-saudi-stock-market-prices/" rel="bookmark">اقرأ المزيد &#187;<span class="screen-reader-text">Applying (ARFIMA) Model for Forecast the Saudi Stock Market Prices</span></a></p>
<p>The post <a href="https://ijsr.vsrp.co.uk/2024/08/applying-arfima-model-for-forecast-the-saudi-stock-market-prices/">Applying (ARFIMA) Model for Forecast the Saudi Stock Market Prices</a> appeared first on <a href="https://ijsr.vsrp.co.uk">المجلة الدولية للبحوث العلمية</a>.</p>
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