- -

Modelado Matemático de un Sistema de Concentración de Fondos y Desembolsos

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Modelado Matemático de un Sistema de Concentración de Fondos y Desembolsos

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Herrera Cáceres, Carlos Antonio es_ES
dc.contributor.author Ibeas, Asier es_ES
dc.date.accessioned 2020-05-19T07:34:13Z
dc.date.available 2020-05-19T07:34:13Z
dc.date.issued 2016-07-10
dc.identifier.issn 1697-7912
dc.identifier.uri http://hdl.handle.net/10251/143665
dc.description.abstract [ES] Este trabajo presenta un modelo de simulación para un sistema de concentración de fondos y desembolsos (SCFD) visto como un sistema de gestión de inventario, basado en ecuaciones en diferencias y técnicas de ingeniería de sistemas. El modelo asume la existencia de retardos por trámite o traslado bancario y analiza la aplicación del concepto de operación con cuentas de saldo cero. Se plantea el caso de una empresa genérica cuyas agencias o distribuidores geográficamente están dispersos en diferentes regiones. El modelo supone la existencia de una cuenta principal operada centralizadamente y política de saldo mínimo. Esta cuenta recibe las transferencias de los ingresos depositados en las cuentas de ingresos de cada agencia y, también, desde la cuenta principal son transferidos los fondos para cubrir los sobregiros ocasionados en las cuentas de egresos de las agencias. Existe una cuenta de inversión a la cual se transfiere el superávit de efectivo en la cuenta principal y una línea de crédito que cubre los déficits de saldo en esa cuenta. Se definen las reglas de operación del SCFD y se consideran los ingresos y costos involucrados. El modelo representa el flujo del dinero entre los elementos identificados del sistema y el flujo de requerimientos u órdenes de transferencia. Se deriva un modelo equivalente representado por ecuaciones algebraicas utilizando la transformada z con el fin de abrir perspectivas al uso riguroso de técnicas de control en el campo de las finanzas. es_ES
dc.description.abstract [EN] This paper presents a simulation model for a cash concentration and disbursements system (CCDS) seen as an inventory management system, based on difference equations and systems engineering techniques. The model assumes the existence of delays due to banking procedures and analyzes the application of the zero balance accounts concept. The case of a generic company whose agencies are geographically distributed in different regions is proposed. The model assumes the existence of a centrally operated main account and minimum balance policy. This account receives money transfers from the revenues accounts of each agency and, also from the main account, money is transferred to the agencies’ expense accounts in order to cover overdrafts. There exist an investment account into which any cash surpluses of the main account are deposited and a credit line in order to avoid the cash deficits. The operating rules for the CCDS are defined, and income and financial costs involved are considered. The model represents the flow of money between the identified elements of the system and the flow of money requirements or transfer orders. An equivalent model represented by algebraic equations through the z-transform is derived, which opens perspectives for using rigorous control techniques in the field of finance. es_ES
dc.description.sponsorship Los autores desean agradecer al Ministerio de Economía y Competitivad su apoyo parcial a este trabajo a través del proyecto DPI2013-47825-C3-1-R es_ES
dc.language Español es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof Revista Iberoamericana de Automática e Informática industrial es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Simulation es_ES
dc.subject Cash concentration and disbursement es_ES
dc.subject Inventory control es_ES
dc.subject Money transfer es_ES
dc.subject Z Transform es_ES
dc.subject Simulación es_ES
dc.subject Concentración de caja y desembolsos es_ES
dc.subject Control de inventarios es_ES
dc.subject Transferencia de dinero es_ES
dc.subject Transformada z es_ES
dc.title Modelado Matemático de un Sistema de Concentración de Fondos y Desembolsos es_ES
dc.title.alternative Mathematical Modeling of a Cash Concentration and Disbursements System es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.riai.2015.07.008
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//DPI2013-47825-C3-1-R/ES/DESARROLLO DE ESTRATEGIAS DE CONTROL AVANZADO PARA EDAR: CRITERIOS GLOBALES DE COSTE%2FCALIDAD PARA LA ELIMINACION DE NUTRIENTES Y MINIMIZACION DE IMPACTO MEDIOAMBIENTAL/ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Herrera Cáceres, CA.; Ibeas, A. (2016). Modelado Matemático de un Sistema de Concentración de Fondos y Desembolsos. Revista Iberoamericana de Automática e Informática industrial. 13(3):338-349. https://doi.org/10.1016/j.riai.2015.07.008 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.riai.2015.07.008 es_ES
dc.description.upvformatpinicio 338 es_ES
dc.description.upvformatpfin 349 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 13 es_ES
dc.description.issue 3 es_ES
dc.identifier.eissn 1697-7920
dc.relation.pasarela OJS\9278 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.description.references Albanese, C., Jackson, K., Wiberg, P., 2004. A new Fourier transform algorithm for value-at-risk. Quantitative Finance 4(3), 328-338. es_ES
dc.description.references Anvari, M., 1981. An application of inventory theoretical models to cash collection. Decision Sciences 12, 126-135. DOI: 10.1111/j.1540- 5915.1981.tb00067.x. es_ES
dc.description.references Anvari, M., 1986. Efficient scheduling of cross-border cash transfers, Financial Management 15(2), 40-49. es_ES
dc.description.references Anvari, M., 1987. Cash transfer scheduling for concentrating noncentral receipts. Management Science 33(1), 25-38. es_ES
dc.description.references Anvari, M., Goyal, S. K., 1985. Optimization of the decentralized cash management problem. European Journal of Operational Research 20(2), 198-205. es_ES
dc.description.references Anvari, M., Mohan, N., 1980. A computerized cash concentration system. Omega-International Journal of Management Science 8(4), 459-464. es_ES
dc.description.references Baccarin, S., 2009. Optimal impulse control for a multidimensional cash management system with generalized cost functions. European Journal of Operational Research 196(1), 198-206. es_ES
dc.description.references Bar-Ilan, A., Perry, D., Stadje, W., 2004. A generalized impulse control model of cash management. Journal of Economic Dynamics & Control 28(6), 1013-1033. es_ES
dc.description.references Baumol, W. J., 1952. The transactions demand for cash: an inventory theoretic approach. Journal of Finance, LXVI. es_ES
dc.description.references Beyer, D., Sethi, S. P., 1999. The Classical Average-Cost Inventory Models of Iglehart and Veinott-Wagner Revisited. Journal of Optimization Theory and Applications 101(3), 523-555. es_ES
dc.description.references Boissard, J., 2012. Applications and uses of digital filters in finance. Master's thesis, Swiss Federal Institute of Technology (ETHZ). es_ES
dc.description.references Buser, S. A., 1986. Laplace Transforms as Present Value Rules: A Note. The Journal of Finance 41(1), 243-247. es_ES
dc.description.references Cagan, P., 1956. The monetary dynamics of hyperinflation. In M. Friedman (Ed.), Studies in the Quantity Theory of Money. Chicago: University of Chicago Press. es_ES
dc.description.references Carr, P., Madan, D., 1999. Option valuation using the fast Fourier transform. The Journal of Computational Finance 2(4), 61-73. es_ES
dc.description.references Carr, P., Wu, L. R., 2004. Time-changed Levy processes and option pricing. Journal of Financial Economics 71(1), 113-141. es_ES
dc.description.references Cerny, A., 2004. The risk of optimal, continuously rebalanced hedging strategies and its efficient evaluation via Fourier transform. London: Tanaka Business School, Series: Tanaka Business School discussion papers, pp. 1-41, ISSN 1744-6783, http://ssrn.com/abstract=559417. es_ES
dc.description.references Cerny, A., 2006. Introduction to Fast Fourier Transform in Finance. Cass Business School Research Paper, pp. 1-29. es_ES
dc.description.references Cerny, A., 2009. Mathematical Techniques in Finance: Tools for Incomplete Markets (Second Edition). Princeton University Press, Princeton and Oxford, p.p. xxii + 390. es_ES
dc.description.references Cerqueti, R., 2012. Financing policies via stochastic control: a dynamic programming approach. Journal of Global Optimization 53(3), 539-561. es_ES
dc.description.references Chourdakis, K., 2005. Option pricing using the fractional FFT. The Journal of Computational Finance 8(2), 1-18. es_ES
dc.description.references Christev, A., 2005. The hyperinflation model of money demand: Some new empirical evidence from the 1990s. Centre for Economic Reform and Transformation, pp. 1-34. es_ES
dc.description.references Cui, X. Y., Gong, L. T., Zhao, X. J., Zou, H. F., 2013. The Z-transform method for multidimensional dynamic economic systems. Applied Economics Letters 20(11), 1081-1088. es_ES
dc.description.references Dempster, M. A. H., Hong, S. S. G., 2002. Spread option valuation and the fast Fourier transform. Mathematical Finance - Bachelier Congress 2000, Springer Finance, pp. 203-220. es_ES
dc.description.references Dennis, S. B., 2009. Matrix mathematics: Theory, facts and formulas (Second Edition). Princeton University Press, Princeton, NJ, p.p. xlii+1139. es_ES
dc.description.references Duffy, D. J., 2006. Finite difference methods in financial engineering: A Partial differential equation approach. John Wiley & Sons, Ltd, 442 pages, ISBN: 978-0-470-85882-0. es_ES
dc.description.references Eppen, G. D., Fama, E. F., 1968. Solutions for cash-balance and simple dynamic-portfolio problems. Journal of Business 41(1), 94-112. es_ES
dc.description.references Eppen, G. D., Fama E. F., 1969. Cash balance and simple dynamic portfolio problems with proportional costs. International Economic Review 10(2), 119-133. es_ES
dc.description.references Fusai, G., Roncoroni, A., 2008. Implementing models in quantitative finance: Methods and cases. Springer, Series: Springer Finance, p.p. xxiii + 607. es_ES
dc.description.references Fusai, G., Marazzina, D., Marena, M., Ng, M., 2012. Z-transform and preconditioning techniques for option pricing. Quantitative Finance 12(9), 1381-1394. es_ES
dc.description.references García, C. A., Ibeas, A., Herrera, J., Vilanova, R., 2012. Inventory control for the supply chain: An adaptive control approach based on the identification of the lead-time. Omega-International Journal of Management Science 40(3), 314-327. es_ES
dc.description.references García Salcedo, C. A., Ibeas Hernández, A., Vilanova, R., Herrera Cuartas, J., 2013. Inventory control of supply chains: Mitigating the bullwhip effect by centralized and decentralized Internal Model Control approaches. European Journal of Operational Research 224(2), 261-272. es_ES
dc.description.references Girgis, N. M., 1968. Optimal cash balance levels. Management Science 15(3), 130-140. es_ES
dc.description.references Grubbstrom, R. W., 1998. A net present value approach to safety stocks in planned production. International Journal of Production Economics 56(7), 213-229. es_ES
dc.description.references Grubbstrom, R. W., Tang, O., 1999. Further developments on safety stocks in an MRP system applying Laplace transforms and input-output analysis. International Journal of Production Economics 60(1), 381-387. es_ES
dc.description.references Grubbstrom, R. W., Huynh, T. T. T., 2006. Multi-level, multi-stage capacityconstrained production-inventory systems in discrete time with non-zero lead times using MRP theory. International Journal of Production Economics 101(1), 53-62. es_ES
dc.description.references Grubbstrom, R. W., 1999. A net present value approach to safety stocks in a multi-level MRP system. International Journal of Production Economics 59(1-3), 361-375. es_ES
dc.description.references Gupta, S., Dutta, K., 2011. Modeling of financial supply chain. European Journal of Operational Research 211(1), 47-56. es_ES
dc.description.references Hurd, T. R., Zhou, Z. W., 2010. A Fourier transform method for spread option pricing. SIAM Journal on Financial Mathematics 1(1), 142-157. es_ES
dc.description.references Khan, M., 1975. The monetary dynamics of hyperinflation: A note. Journal of Monetary Economics 1(3), 355-362. es_ES
dc.description.references Lee, R. W., 2004. Option pricing by transform methods: extensions, unification and error control. The Journal of Computational Finance 7(3), 51-86. es_ES
dc.description.references Liang, Z. X., Sun, B., 2011. Optimal control of a big financial company with debt liability under bankrupt probability constraints. Frontiers of Mathematics in China 6(6), 1095-1130. es_ES
dc.description.references Lin, P. H., Wong, D. S. H., Jang, S. S., Shieh, S. S., Chu, J. Z., 2004. Controller design and reduction of bullwhip for a model supply chain system using Z-transform analysis. Journal of Process Control 14(5), 487- 499. es_ES
dc.description.references Marquis, M. H., Witte, W. E., 1989. Cash management and the demand for money by firms. Journal of Macroeconomics 11(3), 333-350. es_ES
dc.description.references Miller, M. H., Orr, D., 1966. A Model of the demand for money by firms. The Quarterly Journal of Economics (Published by: Oxford University Press) 80(3), 413-435. es_ES
dc.description.references Miller, M. H., Orr, D., 1968. Demand for money by firms - extensions of analytic results. Journal of Finance 23(5), 735-759. es_ES
dc.description.references Naim, M. M., Wikner, J., Grubbstrom, R. W., 2007. A net present value assessment of make-to-order and make-to-stock manufacturing systems. Omega-International Journal of Management Science 35(5), 524-532. es_ES
dc.description.references Obstfeld, M., Rogoff, K., 1995. Exchange-rate dynamics Redux. Journal of Political Economy 103(3), 624-660. es_ES
dc.description.references Obstfeld, M., Rogoff, K., 1996. Foundations of international macroeconomics. The MIT Press, p.p. xxiii + 804. es_ES
dc.description.references Ogata, K., 1996. Discrete time control systems. Prentice-Hall International. es_ES
dc.description.references Premachandra, I. M., 2004. A diffusion approximation model for managing cash in firms: An alternative approach to the Miller-Orr model. European Journal of Operational Research 157(1), 218-226. es_ES
dc.description.references Sethi, S. P., Thompson, G. L., 1970. Applications of mathematical control theory to finance - modeling simple dynamic cash balance problems. Journal of Financial and Quantitative Analysis 5(4-5), 381-394. es_ES
dc.description.references Song, N., Ching, W. K., Su, T. K., Yiu, C. K. F., 2013. On optimal cash management under a Stochastic Volatility Model. East Asian Journal on Applied Mathematics 3(2), 81-92. es_ES
dc.description.references Stone, B. K., Hill, N. C., 1980. Cash transfer scheduling for efficient cash concentration. Financial Management 9(3), 35-43. es_ES
dc.description.references Stone, B. K., Hill, N. C., 1981. The design of a cash concentration system. Journal of Financial and Quantitative Analysis 16(3), 301-322. es_ES
dc.description.references Tenorio, V. A. F., Martín C. A. M., Paralera, M. C., Contreras R. I., 2013. Ecuaciones diferenciales y en diferencias aplicadas a los conceptos económicos y financieros. Revista de Métodos Cuantitativos para la Economía y la Empresa (16), 165-199. ISSN: 1886-516X. D.L: SE-2927- 06. URL: http://www.upo.es/RevMetCuant/art.php?id=83. es_ES
dc.description.references Tobin, J., 1956. The interest-elasticity of transactions demand for cash. Review of Economics and Statistics 38(3), 241-247. es_ES
dc.description.references Vasconcellos, G. M., 1988. On the application of optimal-control theory to financial-planning and forecasting. Journal of Economics and Business 40(4), 309-318. es_ES
dc.description.references Woodford, M., 1998. Control of the public debt: A requirement for price stability? Debt burden and its consequences for monetary policy. IEA Conference (118), 117-154. es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem