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1

Douglas, Kennedy. Stochastic financial models. Boca Raton, FL: Chapman & Hall/CRC Press, 2010.

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2

Prices in financial markets. New York: Oxford University Press, 1990.

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3

Kaili, Eva, Dimitrios Psarrakis, and Raz van Hoinaru, eds. New Models of Financing and Financial Reporting for European SMEs. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02831-2.

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4

Gallego, Ricardo V. Lago. Programación financiera y política macroeconómica: Un modelo financiero de la economía mexicana. México, D.F: Dirección General de Planeación Hacendaria, Dirección de Investigación Económica, 1985.

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5

Gallego, Ricardo V. Lago. Programación financiera y política macroeconómica: Un modelo financiero de la economía mexicana. México, D.F: Centro de Estudios Monetarios Latinoamericanos, 1991.

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6

Prakash, Shri. Expenditure on education: Theory, models, and growth. New Delhi: National Institute of Educational Planning and Administration, 1994.

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7

Financial risk management: models, history, and institution: Models, history, and institution. Hoboken, N.J: Wiley, 2011.

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8

Finance theory and asset pricing. Oxford: Clarendon Press, 1995.

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9

Fabozzi, Frank J. Encyclopedia of financial models. Hoboken, New Jersey: John Wiley & Sons, Inc., 2013.

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10

N, Chorafas Dimitris. Financial models and simulation. New York, N.Y: St. Martins, 1995.

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11

Thomas, L. C. Financial risk management models. Edinburgh: Department of Business Studies, University of Edinburgh, 1989.

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12

Kettani, Othmane, and Adil Reghai. Financial Models in Production. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57496-3.

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13

Chorafas, Dimitris N. Financial Models and Simulation. London: Palgrave Macmillan UK, 1995. http://dx.doi.org/10.1057/9780230374836.

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14

Chorafas, Dimitris N. Financial models and simulation. Basingstoke: Macmillan, 1995.

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15

Geoffron, Patrice. La crise financière du modèle japonais. Paris: Economica, 1996.

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16

Benjamin, Czaczkes, ed. Financial modeling. Cambridge, Mass: MIT Press, 1997.

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17

Financial modeling. 3rd ed. Cambridge, MA: MIT Press, 2008.

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18

Benninga, Simon. Financial modeling. 2nd ed. Cambridge, Mass: MIT Press, 2000.

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19

Wanat, Stanisław. Modele zależności w agregacji ryzyka ubezpieczyciela: Dependence models in the agregating of insurer risks. Kraków: Wydawnictwo Uniwersytetu Ekonomicznego w Krakowie, 2012.

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20

Pietersz, Raoul. Pricing Models for Bermudan-Style Interest Rate Derivatives. [Rotterdam]: Erasmus Research Institute of Management (ERIM), Erasmus University Rotterdam: Erasmus University Rotterdam [Host], 2005.

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21

Capiński, Marek. Discrete models of financial markets. Cambridge: Cambridge University Press, 2012.

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22

Financial econometrics: Methods and models. New York: Routledge, 2002.

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23

Xekalaki, Evdokia. ARCH models for financial applications. Chichester: John Wiley & Sons, 2010.

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24

Xekalaki, Evdokia. ARCH models for financial applications. Chichester: John Wiley & Sons, 2010.

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25

Hitchner, James R. Financial valuation: Applications and models. 3rd ed. Hoboken, N.J: Wiley, 2011.

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26

Wang, Peijie. Financial econometrics: Methods and models. London: Routledge, 2003.

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27

Rural financial sector: Alternate models. Hyderabad: Icfai University Press, 2010.

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28

Mathematical models of financial derivatives. Singapore: Springer, 1998.

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29

Webber, Nick, ed. Implementing Models of Financial Derivatives. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781119206149.

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30

Cummins, J. David, and Richard A. Derrig, eds. Financial Models of Insurance Solvency. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2506-9.

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31

Gouriéroux, Christian. ARCH Models and Financial Applications. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1860-9.

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32

ARCH models and financial applications. New York: Springer, 1997.

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33

Almeida, Heitor. Corporate financial and investment policies when future financing is not frictionless. Cambridge, Mass: National Bureau of Economic Research, 2006.

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34

Nonlinear financial econometrics: Forecasting models, computational and Bayesian models. Basingstoke: Palgrave Macmillan, 2011.

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35

Gregoriou, Greg N., and Razvan Pascalau, eds. Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models. London: Palgrave Macmillan UK, 2011. http://dx.doi.org/10.1057/9780230295223.

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36

Consiglio, Andrea. Practical financial optimization: A library of GAMS models. Malden, MA: Blackwell Pub., 2009.

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37

Ang, Clifford S. Analyzing Financial Data and Implementing Financial Models Using R. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14075-9.

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38

Ang, Clifford S. Analyzing Financial Data and Implementing Financial Models Using R. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64155-9.

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39

Sepúlveda, Jovanny. Colombia ante su armonización contable internacional a partir del año 2018: un estudio retrospectivo y prospectivo del modelo NIIF (IFRS). CUA Medellín, 2018. http://dx.doi.org/10.52441/ciadcon201802.

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Este libro es producto de los resultados investigativos obtenidos a lo largo de los últimos cinco años y en especial con el apoyo de la Corporación Universitaria Americana durante los últimos dos años. El trabajo presentado aquí se combina con la experiencia de investigaciones documentales y participaciones de los autores como ponentes en varios congresos internacionales en Latinoamérica, específicamente en: Brasil, Colombia, Costa Rica, Cuba, Chile, México, Perú y Venezuela. Esto ha permitido intercambiar interesantes puntos de vista con colegas expertos con el tema de la relación del Modelo Financiero y el Modelo NIIF (Normas Internacionales de Información Financiera), que se relacionan a su vez con el tema de la Armonización Contable Internacional (ACI). Nuestra perspectiva de este trabajo sobre el Modelo NIIF presenta un nuevo enfoque que pretende interesar no sólo a contadores. Para ello el desarrollo del Modelo NIIF propuesto aquí pretende “romper” con la figura del “Book Keeping” o “tenedor de libros”, tradición clásica del contador público del pasado, donde su énfasis esta únicamente enfocada en el registro y seguimiento normativo de reglas y no principios contables para efectos fiscales y no de toma de decisiones. Proponemos en esta obra la reflexión desde un enfoque de las finanzas sobre el nuevo Modelo Contable NIIF, en cuanto a que toda transacción u operación comercial, económica o financiera de una entidad debe: 1. Reconocerse, 2. Medirse, 3. Presentarse y 4. Revelarse. Y esto con base al nuevo modelo de negocio y rediseño de los estados financieros básicos y secundarios de las entidades propuesto por el IASB (International Accounting Standard Board) para cumplir con los actuales objetivos financieros de la empresa moderna, que según el modelo marginalista (modelos de maximizaciones, minimizaciones y optimizaciones) en el que descansa preponderadamente hoy nuestra formación y percepción sobre el éxito empresarial en términos financieros, está basado en la teoría del valor y en sus métodos cuantitativos para evaluar las inversiones reales y financieras. Para ello el instrumento cuantitativo fundamentado en las matemáticas financieras, maneja básicamente cuatro variables: los valores iniciales o presentes, los valores finales o futuros, el factor tiempo y las diferentes tasas de interés que aplica una entidad como costo de oportunidad.
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40

Financing Models. New York: McGraw-Hill, 2010.

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41

Tjia, John. Building Financial Models. McGraw-Hill, 2003.

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42

Building Financial Models. New York: McGraw-Hill, 2004.

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43

Tjia, John. Building Financial Models. McGraw-Hill, 2003.

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44

American Institute of Certified Public Accountants. Management Consulting Services Division., ed. Preparing financial models. New York, N.Y: American Institute of Certified Public Accountants, Management Consulting Services Division, 1992.

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45

American Institute of Certified Public Accountants. Business Valuation and Forensic & Litigation Services Section., ed. Preparing financial models. New York, N.Y: American Institute of Certified Public Accountants, 2006.

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46

Building Financial Models. McGraw-Hill Education, 2018.

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47

Kennedy, Douglas. Stochastic Financial Models. Chapman and Hall/CRC, 2016. http://dx.doi.org/10.1201/b17182.

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48

Milne, Frank. Finance Theory and Asset Pricing. Oxford University Press, USA, 2003.

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49

Milne, Frank. Finance Theory and Asset Pricing. 2nd ed. Oxford University Press, USA, 2003.

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50

Menz, Georg. Models of Finance and Corporate Governance and their Implications. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199579983.003.0005.

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Access to credit is crucial for companies to thrive. Governments in statist systems of political economy historically regulated and manipulated this function with a view to promoting sectoral and regional development, but also curtailing development not favoured politically. By contrast, in more market-oriented political sectors, governments refrained from using finance as a tool and often adopted a more laissez-faire approach in letting the finance sector grow organically, even if this included slightly problematic developments. Over the course of the past thirty years, these boundaries have become more blurred. The financial sector has extended its reach, escaped from regulatory confines, and thus identified new domains of activities. This development democratizes access to finance. However, many analysts point to excessively easy access as one of the root causes of the 2008 global financial crisis.
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