Markov chain model used for sensitivity analysis of paid/unpaid claims in after-payment-due process
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F14%3A43923652" target="_blank" >RIV/49777513:23510/14:43923652 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Markov chain model used for sensitivity analysis of paid/unpaid claims in after-payment-due process
Popis výsledku v původním jazyce
The paper uses existing Markov chain theory to analyze problem of claim payment delayed process, which serves to estimate a distribution of paid/unpaid claims after payment due. Payment condition patterns and timing of claim payments play significant role in financial management. First, the corresponding data reported in usual accounting reports are extracted to yield records of delayed payment structures. Data processing procedure issues estimations of transitions probabilities of absorption Markov chain with several transition states and two absorption ones representing paid and unpaid claims, respectively. The transition probability matrix of such absorption MC, which has a special pattern in its canonical form, enables symbolic processing of the fundamental matrix. General form of this matrix is presented in detail. Further, it is used for several numerical case studies, which are focused on sensitivity analysis of distribution of paid/unpaid claims on after payment due processes.
Název v anglickém jazyce
Markov chain model used for sensitivity analysis of paid/unpaid claims in after-payment-due process
Popis výsledku anglicky
The paper uses existing Markov chain theory to analyze problem of claim payment delayed process, which serves to estimate a distribution of paid/unpaid claims after payment due. Payment condition patterns and timing of claim payments play significant role in financial management. First, the corresponding data reported in usual accounting reports are extracted to yield records of delayed payment structures. Data processing procedure issues estimations of transitions probabilities of absorption Markov chain with several transition states and two absorption ones representing paid and unpaid claims, respectively. The transition probability matrix of such absorption MC, which has a special pattern in its canonical form, enables symbolic processing of the fundamental matrix. General form of this matrix is presented in detail. Further, it is used for several numerical case studies, which are focused on sensitivity analysis of distribution of paid/unpaid claims on after payment due processes.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
BB - Aplikovaná statistika, operační výzkum
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2014
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
32nd International Conference Mathematical Methods in Economics Conference Proceedings
ISBN
978-80-244-4208-2
ISSN
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e-ISSN
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Počet stran výsledku
6
Strana od-do
299-304
Název nakladatele
Palacký University, Olomouc
Místo vydání
Palacký University, Olomouc
Místo konání akce
Olomouc
Datum konání akce
10. 9. 2014
Typ akce podle státní příslušnosti
CST - Celostátní akce
Kód UT WoS článku
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