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Decision making on financial investment in Turkey by using ARDL long-term coefficients and AHP
Financial Innovation ( IF 6.9 ) Pub Date : 2020-09-04 , DOI: 10.1186/s40854-020-00196-z
Serkan Atmaca , Hacı Ahmet Karadaş

Mathematical modeling methods are frequently used for solving everyday problems. Decision making, one such method, can be used in every aspect of life for different scales such as micro (households), medium (companies), and macro (states) decisions. Due to the large number of parameters affecting decision, it is possible to make mistakes in the selection of the appropriate investment instrument with classical methods; hence, scarce resources may be wasted, and sometimes it may even be impossible to make a decision. This study seeks to answer the question “Which financial investment instrument should be selected under the current conditions?” using decision making problems. Factors affecting gold, USD, and EURO, which are selected as the financial investment instruments in Turkey, are examined using the autoregressive distributed lag (ARDL) bound test. The selected variables are monthly and belong to the January 2009 to May 2018 period. The ARDL results show that the selected financial investment instruments are affected by most of the factors separately. By using the coefficients obtained from the ARDL model, the analytic hierarchy process (AHP) model was established. According to the results of the model, the EURO was determined as the most suitable financial investment for Ahmet and others with the same preferences.

中文翻译:

基于ARDL长期系数和层次分析法的土耳其金融投资决策

数学建模方法经常用于解决日常问题。决策,这样的一种方法,可用于不同尺度的生活的各个方面,例如微观(家庭)、中等(公司)和宏观(国家)决策。由于影响决策的参数众多,经典方法在选择合适的投资工具时可能会出错;因此,可能会浪费稀缺资源,有时甚至无法做出决定。本研究旨在回答“在当前条件下应该选择哪种金融投资工具?”的问题。使用决策问题。影响黄金、美元和欧元的因素,它们被选为土耳其的金融投资工具,使用自回归分布滞后 (ARDL) 边界测试进行检查。所选变量为月度,属于 2009 年 1 月至 2018 年 5 月期间。ARDL 结果表明,所选择的金融投资工具分别受大多数因素的影响。利用从ARDL模型得到的系数,建立层次分析法(AHP)模型。根据模型的结果,欧元被确定为艾哈迈德和其他具有相同偏好的人最合适的金融投资。建立层次分析法(AHP)模型。根据模型的结果,欧元被确定为艾哈迈德和其他具有相同偏好的人最合适的金融投资。建立层次分析法(AHP)模型。根据模型的结果,欧元被确定为艾哈迈德和其他具有相同偏好的人最合适的金融投资。
更新日期:2020-09-04
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