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Państwowej Szkoły Wyższej w Białej Podlaskiej

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Nr opisu: 21-03-02, 14:28^e3328028811^f3328028811^aGravitational and intellectual data analysis to assess the money laundering risk of financial institutions^aJournal of International Studies^a2020^bVol. 13^cno. 4^dp. 259--272^a2071-8330^b2306-3483^a2020/2021^a10.14254/2071-8330.2020/13-4/18^afinancial risk^aFINAL_PUBLISHED^bCC-BY^cAT_PUBLICATION^eOPEN_JOURNAL^aThe wide variety of schemes to use companies for money laundering, such as oil smuggling, illegal gas sales, misappropriation of the Central Bank refinancing, misappropriation of bank funds and state-owned enterprises, form the research issues. The sample under study includes 102 countries around the world, which are closely monitored by the Financial Action Task Force (FATF) and have different levels of sociopolitical and economic development. The scientific and methodological approach to assess the financial monitoring risk in terms of the use of financial institutions for money laundering is based on the methods of multidimensional static analysis, descriptive, cluster and dispersive data analysis, gravity theory, nonlinear econometric modeling, differential and bifurcation analysis of dynamic nonlinear systems. The result of the study is a developed model of comprehensive risk assessment for the countries' financial institutions for money laundering, which considers grouping of countries by the level of money laundering risk, identification of the cluster belonging to the state; formation of an integrated index as a money laundering risk rating assessment, and risk assessment based on the gravitational model; construction of a phase portrait for a dynamic system of the risk to use the countries' financial institutions based on a nonlinear econometric model.^amoney laundering^agf financial institutions for money laundering is based on the methods of multidimensional static analysis, descriptive, cluster and dispersive data analysis, gravity theory, nonlinear econometric modeling, differential and bifurcation analysis of dynamic nonlinear systems. The result of the study is a developed model of comprehensive risk assessment for the countries' financial institutions for money laundering, which considers grouping of countries by the level of money laundering risk, identification of the cluster belonging to the state; formation of an integrated index as a money laundering risk rating assessment, and risk assessment based on the gravitational model; construction of a phase portrait for a dynamic system of the risk to use the countries' financial institutions based on a nonlinear econometric model.^amoney laundering^agravitational modeling^adynamic risk stability^abifurcation analysis^aUkraine of the use of financial institutions for money laundering is based on the methods of multidimensional static analysis, descriptive, cluster and dispersive data analysis, gravity theory, nonlinear econometric modeling, differential and bifurcation analysis of dynamic nonlinear systems. The result of the study is a developed model of comprehensive risk assessment for the countries' financial institutions for money laundering, which considers grouping of countries by the level of money laundering risk, identification of the cluster belonging to the state; formation of an integrated index as a money laundering risk rating assessment, and risk assessment based on the gravitational model; construction of a phase portrait for a dynamic system of the risk to use the countries' financial institutions based on a nonlinear econometric model.^amoney laundering^agravitational modeling^adynamic risk stability^abifurcation analysis^aUkraine
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Tytuł pracy:
Tytuł pracy w innym języku: 003Gravitational and intellectual data analysis to assess the money laundering risk of financial institutionsJournal of International Studies20202071-83302020/202110.14254/2071-8330.2020/13-4/18financial riskFINAL_PUBLISHEDThe wide variety of schemes to use companies for money laundering, such as oil smuggling, illegal gas sales, misappropriation of the Central Bank refinancing, misappropriation of bank funds and state-owned enterprises, form the research issues. The sample under study includes 102 countries around the world, which are closely monitored by the Financial Action Task Force (FATF) and have different levels of sociopolitical and economic development. The scientific and methodological approach to assess the financial monitoring risk in terms of the use of financial institutions for money laundering is based on the methods of multidimensional static analysis, descriptive, cluster and dispersive data analysis, gravity theory, nonlinear econometric modeling, differential and bifurcation analysis of dynamic nonlinear systems. The result of the study is a developed model of comprehensive risk assessment for the countries' financial institutions for money laundering, which considers grouping of countries by the level of money laundering risk, identification of the cluster belonging to the state; formation of an integrated index as a money laundering risk rating assessment, and risk assessment based on the gravitational model; construction of a phase portrait for a dynamic system of the risk to use the countries' financial institutions based on a nonlinear econometric model.money launderinggravitational modelingdynamic risk stabilitybifurcation analysisUkraine : 003 : Vol. 13 : 2306-3483 : CC-BY
Cykl: Gravitational and intellectual data analysis to assess the money laundering risk of financial institutionsJournal of International Studies20202071-83302020/202110.14254/2071-8330.2020/13-4/18financial riskFINAL_PUBLISHEDThe wide variety of schemes to use companies for money laundering, such as oil smuggling, illegal gas sales, misappropriation of the Central Bank refinancing, misappropriation of bank funds and state-owned enterprises, form the research issues. The sample under study includes 102 countries around the world, which are closely monitored by the Financial Action Task Force (FATF) and have different levels of sociopolitical and economic development. The scientific and methodological approach to assess the financial monitoring risk in terms of the use of financial institutions for money laundering is based on the methods of multidimensional static analysis, descriptive, cluster and dispersive data analysis, gravity theory, nonlinear econometric modeling, differential and bifurcation analysis of dynamic nonlinear systems. The result of the study is a developed model of comprehensive risk assessment for the countries' financial institutions for money laundering, which considers grouping of countries by the level of money laundering risk, identification of the cluster belonging to the state; formation of an integrated index as a money laundering risk rating assessment, and risk assessment based on the gravitational model; construction of a phase portrait for a dynamic system of the risk to use the countries' financial institutions based on a nonlinear econometric model.money launderinggravitational modelingdynamic risk stabilitybifurcation analysisUkraine
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Słowa kluczowe: of the use of financial institutions for money laundering is based on the methods of multidimensional static analysis, descriptive, cluster and dispersive data analysis, gravity theory, nonlinear econometric modeling, differential and bifurcation analysis of dynamic nonlinear systems. The result of the study is a developed model of comprehensive risk assessment for the countries' financial institutions for money laundering, which considers grouping of countries by the level of money laundering risk, identification of the cluster belonging to the state; formation of an integrated index as a money laundering risk rating assessment, and risk assessment based on the gravitational model; construction of a phase portrait for a dynamic system of the risk to use the countries' financial institutions based on a nonlinear econometric model.^amoney laundering^agravitational modeling^adynamic risk stability^abifurcation analysis^aUkraine
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Nr opisu: sis00000401680000001100AOartykuł oryginalny naukowyPUBLIKACJAPEŁNA PUBLIKACJAABartykuł w czasopiśmie bez IF (wykaz MNiSW)AFILIACJA PODANAENGhttps://www.jois.eu/?621,en_social-safety-and-behavioral-aspects-of-populations-financial-inclusion-a-multicountry-analysis100^a2071-8330^bQ^e2306-3483^iX^jXY^kQ024139^a003^b003^c2020-09-23, 14:52^d2020-09-23, 15:00^e3421818787^f3421818739^aSocial safety and behavioral aspects of populations financial inclusion^ba multicountry analysis^aJournal of International Studies^a2020^bVol. 13^cno. 2^dp. 347--359^a2071-8330^b2306-3483^a2019/2020^a10.14254/2071-8330.2020/13-2/23^aCiekanowski, Zbigniew^cx^afinancial inclusion^aFINAL_PUBLISHED^bCC-BY^cAT_PUBLICATION^eOPEN_JOURNAL^aThis article aims to investigate the connection between behavioral aspects of populations financial inclusion and the level of social safety. The study was conducted in several stages: collecting the necessary input, determining The Index of socio-safety, selecting the most relevant factors that characterize the behavioral aspects of financial inclusion, determining the functional relationships between The Index of socio-safety and indicators describing critical behavioral issues of financial inclusion. The study involved 26 countries with different levels of economic development, and 18 indicators (10 characterized the behavioral aspects of financial involvement of the population, 8 - the world vectors of social safety). The Index of socio-safety was obtained with the help of PCA. Russian Federation and South Africa have the highest level of The Index among the studied countries. The lowest level of the calculated indicator is in Mozambique and Burkina Faso. Correlation and regression analysis revealed a statistically significant relationship between The Index of socio-safety and an increasing number of ATMs per 100,000 adults, usage of the internet to pay bills or to buy something online and increase the percentage of respondents who report having a credit card.^asocial safety^apopulation^aeconomic development^acountrying the necessary input, determining The Index of socio-safety, selecting the most relevant factors that characterize the behavioral aspects of financial inclusion, determining the functional relationships between The Index of socio-safety and indicators describing critical behavioral issues of financial inclusion. The study involved 26 countries with different levels of economic development, and 18 indicators (10 characterized the behavioral aspects of financial involvement of the population, 8 - the world vectors of social safety). The Index of socio-safety was obtained with the help of PCA. Russian Federation and South Africa have the highest level of The Index among the studied countries. The lowest level of the calculated indicator is in Mozambique and Burkina Faso. Correlation and regression analysis revealed a statistically significant relationship between The Index of socio-safety and an increasing number of ATMs per 100,000 adults, usage of the internet to pay bills or to buy something online and increase the percentage of respondents who report having a credit card.^asocial safety^apopulation^aeconomic development^acountryages: collecting the necessary input, determining The Index of socio-safety, selecting the most relevant factors that characterize the behavioral aspects of financial inclusion, determining the functional relationships between The Index of socio-safety and indicators describing critical behavioral issues of financial inclusion. The study involved 26 countries with different levels of economic development, and 18 indicators (10 characterized the behavioral aspects of financial involvement of the population, 8 - the world vectors of social safety). The Index of socio-safety was obtained with the help of PCA. Russian Federation and South Africa have the highest level of The Index among the studied countries. The lowest level of the calculated indicator is in Mozambique and Burkina Faso. Correlation and regression analysis revealed a statistically significant relationship between The Index of socio-safety and an increasing number of ATMs per 100,000 adults, usage of the internet to pay bills or to buy something online and increase the percentage of respondents who report having a credit card.^asocial safety^apopulation^aeconomic development^acountry
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