IDEAS home Printed from https://ideas.repec.org/a/nap/nijbmr/2017p136-154.html

Jameel’s Criterion and Jameel’s Advanced Stressed Models: An Ideas that Lead to Non-Normal Stocks Brownian Motion Models

Author

Listed:
  • Jamilu Auwalu Adamu

    (National Mathematical Centre, Abuja, Nigeria)

Abstract

Jameel’s Criterion and Jameel’s Advanced Stressed Models (2015) were introduced to capture Low-Probability, High-Impact Events in the existing Default and Derivatives Pricing Models. “Stock Prices are perhaps the most closely watched Economic variables to date†. The existing models (Simple and Fractional Brownian Motion as well as Stable Distributions) have difficulties in identifying the right tail distribution (process), that is  whether to use power-type or exponential-type distributions; the stable distributions generalize normal distribution; Geometric Brownian Motion (GBM) can only be used to forecast maximum of two weeks closing prices and does not include cyclical or seasonal effects together with the periods of constant values according to (Kou (2002); Abidin and Jaffar (2014); Marathe and Ryan (2005); Gajda and Wylomanka (2012)) respectively.

Suggested Citation

  • Jamilu Auwalu Adamu, 2017. "Jameel’s Criterion and Jameel’s Advanced Stressed Models: An Ideas that Lead to Non-Normal Stocks Brownian Motion Models," Noble International Journal of Business and Management Research, Noble Academic Publsiher, vol. 1(10), pages 136-154, October.
  • Handle: RePEc:nap:nijbmr:2017:p:136-154
    as

    Download full text from publisher

    File URL: http://www.napublisher.org/pdf-files/NIJBMR-489-136-154.pdf
    Download Restriction: no

    File URL: http://www.napublisher.org/?ic=journal&journal=8&month=10-2017&issue=10&volume=1
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Taleb, Nassim Nicholas, 2007. "Black Swans and the Domains of Statistics," The American Statistician, American Statistical Association, vol. 61, pages 198-200, August.
    2. Taleb, Nassim Nicholas, 2009. "Errors, robustness, and the fourth quadrant," International Journal of Forecasting, Elsevier, vol. 25(4), pages 744-759, October.
    3. L. C. G. Rogers, 1997. "Arbitrage with Fractional Brownian Motion," Mathematical Finance, Wiley Blackwell, vol. 7(1), pages 95-105, January.
    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. Kim, Jae Ho & Powell, Warren B., 2011. "An hour-ahead prediction model for heavy-tailed spot prices," Energy Economics, Elsevier, vol. 33(6), pages 1252-1266.
    2. Hendry, David F. & Mizon, Grayham E., 2014. "Unpredictability in economic analysis, econometric modeling and forecasting," Journal of Econometrics, Elsevier, vol. 182(1), pages 186-195.
    3. Parrini, Alessandro, 2013. "Importance Sampling for Portfolio Credit Risk in Factor Copula Models," MPRA Paper 103745, University Library of Munich, Germany.
    4. Child, K. & Desta, G. & Douthwaite, B. & Haileslassie, Amare & van Rooyen, A. & Tamene, L. & Uhlenbrook, Stefan, 2021. "Impact tracking: a practitioner-developed approach to scaling agricultural innovation in Ethiopia," IWMI Books, Reports H050789, International Water Management Institute.
    5. Gapeev, Pavel V., 2004. "On arbitrage and Markovian short rates in fractional bond markets," Statistics & Probability Letters, Elsevier, vol. 70(3), pages 211-222, December.
    6. Ballestra, Luca Vincenzo & Pacelli, Graziella & Radi, Davide, 2016. "A very efficient approach for pricing barrier options on an underlying described by the mixed fractional Brownian motion," Chaos, Solitons & Fractals, Elsevier, vol. 87(C), pages 240-248.
    7. Loch-Olszewska, Hanna, 2019. "Properties and distribution of the dynamical functional for the fractional Gaussian noise," Applied Mathematics and Computation, Elsevier, vol. 356(C), pages 252-271.
    8. Matthieu Garcin, 2021. "Forecasting with fractional Brownian motion: a financial perspective," Papers 2105.09140, arXiv.org, revised Sep 2021.
    9. Vasile Brătian & Ana-Maria Acu & Camelia Oprean-Stan & Emil Dinga & Gabriela-Mariana Ionescu, 2021. "Efficient or Fractal Market Hypothesis? A Stock Indexes Modelling Using Geometric Brownian Motion and Geometric Fractional Brownian Motion," Mathematics, MDPI, vol. 9(22), pages 1-20, November.
    10. Onali, Enrico & Goddard, John, 2011. "Are European equity markets efficient? New evidence from fractal analysis," International Review of Financial Analysis, Elsevier, vol. 20(2), pages 59-67, April.
    11. repec:hal:wpaper:hal-03284660 is not listed on IDEAS
    12. Beran, Jan, 1999. "SEMIFAR Models - A Semiparametric Framework for Modelling Trends, Long Range Dependence and Nonstationarity," CoFE Discussion Papers 99/16, University of Konstanz, Center of Finance and Econometrics (CoFE).
    13. Xiyue Han & Alexander Schied, 2021. "The roughness exponent and its model-free estimation," Papers 2111.10301, arXiv.org, revised Jun 2024.
    14. Cheridito, Patrick, 2004. "Gaussian moving averages, semimartingales and option pricing," Stochastic Processes and their Applications, Elsevier, vol. 109(1), pages 47-68, January.
    15. Robert Elliott & Leunglung Chan, 2004. "Perpetual American options with fractional Brownian motion," Quantitative Finance, Taylor & Francis Journals, vol. 4(2), pages 123-128.
    16. Ahmadian, D. & Ballestra, L.V., 2020. "Pricing geometric Asian rainbow options under the mixed fractional Brownian motion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 555(C).
    17. Dufera, Tamirat Temesgen, 2024. "Fractional Brownian motion in option pricing and dynamic delta hedging: Experimental simulations," The North American Journal of Economics and Finance, Elsevier, vol. 69(PB).
    18. Taleb, Nassim Nicholas, 2009. "Errors, robustness, and the fourth quadrant," International Journal of Forecasting, Elsevier, vol. 25(4), pages 744-759, October.
    19. Gu, Hui & Liang, Jin-Rong & Zhang, Yun-Xiu, 2012. "Time-changed geometric fractional Brownian motion and option pricing with transaction costs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(15), pages 3971-3977.
    20. Christian Bender & Tommi Sottinen & Esko Valkeila, 2010. "Fractional processes as models in stochastic finance," Papers 1004.3106, arXiv.org.
    21. Guerra, João M.E. & Nualart, David, 2005. "The 1/H-variation of the divergence integral with respect to the fractional Brownian motion for H>1/2 and fractional Bessel processes," Stochastic Processes and their Applications, Elsevier, vol. 115(1), pages 91-115, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:nap:nijbmr:2017:p:136-154. 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: Managing Editor The email address of this maintainer does not seem to be valid anymore. Please ask Managing Editor to update the entry or send us the correct address (email available below). General contact details of provider: https://www.napublisher.org/?ic=journal&journal=8&info=aims .

    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.