IDEAS home Printed from https://ideas.repec.org/a/ega/rafega/201110.html
   My bibliography  Save this article

Un modelo para evaluar el VPN mediante modelos autoregresivos

Author

Listed:
  • M. Beatriz Mota Aragón

    (Universidad Autónoma Metropolitana)

  • Faviola Hernández Jiménez

    (C De Vino S.A. de C.V)

Abstract

In previous investigations, it was said that Net Cash Flows (NCF) and the Interest Rate(rt) of the investment project are stochastic processes. There was even a suggestion for a new stochastic continuous model which would explain this random evolution. This investigation began from there, and agrees that the stochastic Net Present Value (NPV) is more accurate to evaluate an investment project. The forecasts Net Cash Flows (NCF) can be estimated with econometric models, specifically with ARIMA models,(Box -Jenkings,1976)and smoothing exponential models,(Hot -Winters,1960)

Suggested Citation

  • M. Beatriz Mota Aragón & Faviola Hernández Jiménez, 2011. "Un modelo para evaluar el VPN mediante modelos autoregresivos," Revista de Administración, Finanzas y Economía (Journal of Management, Finance and Economics), Tecnológico de Monterrey, Campus Ciudad de México, vol. 6(2), pages 66-87.
  • Handle: RePEc:ega:rafega:201110
    as

    Download full text from publisher

    File URL: http://alejandria.ccm.itesm.mx/egap/documentos/2011V5A10Mota-Hernandez.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aigner, Dennis J, 1971. "A Compendium on Estimation of the Autoregressive-Moving Average Model from Time Series Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 12(3), pages 348-371, October.
    2. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    3. Ali, A, 1994. "The Incremental Information-Content Of Earnings, Working Capital From Operations, And Cash Flows," Journal of Accounting Research, Wiley Blackwell, vol. 32(1), pages 61-74.
    4. Bera, Anil K. & Jarque, Carlos M., 1981. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals : Monte Carlo Evidence," Economics Letters, Elsevier, vol. 7(4), pages 313-318.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ladislav KRISTOUFEK & Petra LUNACKOVA, 2013. "Long-term Memory in Electricity Prices: Czech Market Evidence," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(5), pages 407-424, November.
    2. Lauren Bin Dong & David E. A. Giles, 2004. "An Empirical Likelihood Ratio Test for Normality," Econometrics Working Papers 0401, Department of Economics, University of Victoria.
    3. Giorgio Fagiolo & Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2010. "On the distributional properties of household consumption expenditures: the case of Italy," Empirical Economics, Springer, vol. 38(3), pages 717-741, June.
    4. Philip Arestis & Ana Rosa Gonzalez‐Martinez, 2019. "Economic precariousness: A new channel in the housing market cycle," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(2), pages 1030-1043, April.
    5. Alemayehu Geda & Atnafu Meskel, 2008. "China and India's Growth Surge: Is it a curse or blessing for Africa? The Case of Manufactured Exports," African Development Review, African Development Bank, vol. 20(2), pages 247-272.
    6. Bontemps, Christian & Meddahi, Nour, 2005. "Testing normality: a GMM approach," Journal of Econometrics, Elsevier, vol. 124(1), pages 149-186, January.
    7. Kaul, Aditya & Kayacetin, Nuri Volkan, 2017. "Flight-to-quality, economic fundamentals, and stock returns," Journal of Banking & Finance, Elsevier, vol. 80(C), pages 162-175.
    8. Arvid Oskar Ivar Hoffmann & Wander Jager & J. H. Von Eije, 2007. "Social Simulation of Stock Markets: Taking It to the Next Level," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-7.
    9. Mensah, Jones Odei & Premaratne, Gamini, 2018. "Dependence patterns among Asian banking sector stocks: A copula approach," Research in International Business and Finance, Elsevier, vol. 45(C), pages 357-388.
    10. Pavol Durana & Katarina Valaskova & Darina Chlebikova & Vladislav Krastev & Irina Atanasova, 2020. "Heads and Tails of Earnings Management: Quantitative Analysis in Emerging Countries," Risks, MDPI, vol. 8(2), pages 1-21, June.
    11. K. Lebedeva, 2015. "An Empirical Analysis of the Russian Financial Markets’ Liquidity and Returns," Review of Business and Economics Studies // Review of Business and Economics Studies, Финансовый Университет // Financial University, vol. 3(3), pages 5-31.
    12. Korbinian von Blanckenburg, Gerrit Reher, "undated". "Testverfahren zur Beurteilung der Funktionsfähigkeit von Marktprozessen," Working Papers 201154, Institute of Spatial and Housing Economics, Munster Universitary.
    13. Mr. Kenji Moriyama & Abdul Naseer, 2009. "Forecasting Inflation in Sudan," IMF Working Papers 2009/132, International Monetary Fund.
    14. Mezgebo, Taddese, 2009. "A multivariate approach for identification of optimal locations with in Ethiopia’s wheat market to tackle soaring inflation on food price," MPRA Paper 18663, University Library of Munich, Germany.
    15. Juliane Proelss & Denis Schweizer, 2014. "Polynomial goal programming and the implicit higher moment preferences of US institutional investors in hedge funds," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(1), pages 1-28, February.
    16. Kristoufek, Ladislav, 2009. "R/S analysis and DFA: finite sample properties and confidence intervals," MPRA Paper 16446, University Library of Munich, Germany.
    17. Lorentz Jäntschi & Sorana D. Bolboacă, 2018. "Computation of Probability Associated with Anderson–Darling Statistic," Mathematics, MDPI, vol. 6(6), pages 1-17, May.
    18. Kucherov, Dmitry G. & Tsybova, Victoria S. & Yu. Lisovskaia, Antonina & Alkanova, Olga N., 2022. "Brand orientation, employer branding and internal branding: Do they effect on recruitment during the COVID-19 pandemic?," Journal of Business Research, Elsevier, vol. 151(C), pages 126-137.
    19. Wu, Zewen, 2024. "Are we in a bubble? Financial vulnerabilities in semiconductor, Web3, and genetic engineering markets," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 32-44.
    20. Wang, Yizhi, 2022. "Volatility spillovers across NFTs news attention and financial markets," International Review of Financial Analysis, Elsevier, vol. 83(C).

    More about this item

    Keywords

    Modelos ARIMA; Suavizamiento Exponencial; Procesos estocásticos; Proyectos de inversión; Pronósticos; Flujos de Efectivo; Tasa de Rendimiento;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ega:rafega:201110. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: José Antonio Núñez (email available below). General contact details of provider: https://edirc.repec.org/data/emitemx.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.