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The financial industry maturity model for anti-money laundering
O'Kane, Tom; Casserly, Tara; McCartney, Peadar - In: International journal of business excellence 8 (2015) 4, pp. 492-513
Persistent link: https://www.econbiz.de/10011539388
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The implementation of cross-functional teams in SMEs : the impact on the competitive priorities
Efstathiades, Andreas; Efstathiades, Christodoulos; … - In: International journal of economics and business research 12 (2016) 4, pp. 375-397
Persistent link: https://www.econbiz.de/10011706133
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An internal cooperation as a driver of total quality management
Yu, Gun Jea; Jung, Hojin; Kwon, Kyoung-min - In: International journal of productivity and quality … 31 (2020) 3, pp. 434-444
Persistent link: https://www.econbiz.de/10012516368
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Perceptions on jurisdiction risk: a cross-country analysis
Feridun, Mete - In: Journal of Money Laundering Control 27 (2023) 3, pp. 548-558
positively associated with anti-money laundering and countering the financing of terrorism (AML/CFT) framework, as well as with … are based on a single year cross sectional data. As global and country-level AML/CFT efforts continue to intensify and as … question of whether financial crime perceptions are likely to be more pronounced for jurisdictions where AML/CFT efforts are …
Persistent link: https://www.econbiz.de/10015351726
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Determing the number of regimes in a threshold autoregressive model using smooth transition autoregressions
Strikholm, Birgit; Teräsvirta, Timo - 2005
In this paper we propose a method for determining the number of regimes in threshold autoregressive models using smooth transition autoregression as a tool. As the smooth transition model is just an approximation to the threshold autoregressive one, no asymptotic properties are claimed for the...
Persistent link: https://www.econbiz.de/10010281439
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Determining the Number of Regimes in a Threshold Autoregressive Model Using Smooth Transition Autoregressions
Strikholm, Birgit; Teräsvirta, Timo - Economics Institute for Research (SIR), … - 2005
In this paper we propose a method for determining the number of regimes in threshold autoregressive models using smooth transition autoregression as a tool. As the smooth transition model is just an approximation to the threshold autoregressive one, no asymptotic properties are claimed for the...
Persistent link: https://www.econbiz.de/10005649220
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Modeling dependencies in claims reserving with GEE
Hudecová, Šárka; Pešta, Michal - In: Insurance / Mathematics & economics 53 (2013) 3, pp. 786-794
Persistent link: https://www.econbiz.de/10010227828
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Selecting between causal and noncausal models with quantile autoregressions
Hecq, Alain W. J.; Sun, Li - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 25 (2021) 5, pp. 393-416
Persistent link: https://www.econbiz.de/10012806552
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(Generalized) maximum cumulative direct, paired, and residual Φ entropy principle
Klein, Ingo - 2017
Jaynes (1957a,b) formulates the maximum entropy (ME) principle as the search for a distribution maximizing a given entropy under some given constraints. Kapur (1984) and Kesavan & Kapur (1989) introduce the generalized maximum entropy principle as the derivation of an entropy for which a given...
Persistent link: https://www.econbiz.de/10011764079
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Cumulative Entropy and Income Analysis
Nair, N. Unnikrishnan; Vineshkumar, B. - In: Stochastics and Quality Control 37 (2022) 2, pp. 165-179
Abstract In the present work, we investigate the applications of cumulative entropy as a tool in income analysis. The relationships the cumulative entropy has with income gap ratio, Lorenz curve, Gini index, Bonferroni curve and Zenga curve are provided. Applications of the results to real data...
Persistent link: https://www.econbiz.de/10014591076