IDEAS home Printed from https://ideas.repec.org/p/zbw/bofrdp/rdp2013_017.html
   My bibliography  Save this paper

Closed form solution of correlation in doubly truncated or censored sample of bivariate log-normal distribution

Author

Listed:
  • Vilmunen, Jouko
  • Palmroos, Peter

Abstract

In this study we present a closed form solution to the moments and, in particular, correlation of two log-normally distributed random variables, where the underlying log-normal distribution is potentially truncated and censored at both tails. Throughout the analysis we further assume that the parameters of the unconstrained bivariate log-normal distribution are known. The closed form solution also covers the cases where one tail is truncated and the other is censored.

Suggested Citation

  • Vilmunen, Jouko & Palmroos, Peter, 2013. "Closed form solution of correlation in doubly truncated or censored sample of bivariate log-normal distribution," Bank of Finland Research Discussion Papers 17/2013, Bank of Finland.
  • Handle: RePEc:zbw:bofrdp:rdp2013_017
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/212257/1/bof-rdp2013-017.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bebu, Ionut & Mathew, Thomas, 2009. "Confidence intervals for limited moments and truncated moments in normal and lognormal models," Statistics & Probability Letters, Elsevier, vol. 79(3), pages 375-380, February.
    2. Lien, Da-Hsiang Donald, 1985. "Moments of truncated bivariate log-normal distributions," Economics Letters, Elsevier, vol. 19(3), pages 243-247.
    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. Vilmunen, Jouko & Palmroos, Peter, 2013. "Closed form solution of correlation in doubly truncated or censored sample of bivariate log-normal distribution," Research Discussion Papers 17/2013, Bank of Finland.
    2. repec:zbw:bofrdp:2013_017 is not listed on IDEAS
    3. Barfield, Ashley & Shonkwiler, J. Scott, 2016. "A Distribution Transition Method for Extreme Responses in Recreation Survey Data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235670, Agricultural and Applied Economics Association.
    4. Dionne, Georges & Li, Jingyuan, 2014. "When can expected utility handle first-order risk aversion?," Journal of Economic Theory, Elsevier, vol. 154(C), pages 403-422.
    5. Li, Baibing, 2022. "Stochastic modeling and adaptive forecasting for parking space availability with drivers’ time-varying arrival/departure behavior," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 313-332.
    6. Federica Bomboi & Christoph Buchheim & Jonas Pruente, 2022. "On the stochastic vehicle routing problem with time windows, correlated travel times, and time dependency," 4OR, Springer, vol. 20(2), pages 217-239, June.
    7. Ping Chen & Chun Wang, 2016. "A New Online Calibration Method for Multidimensional Computerized Adaptive Testing," Psychometrika, Springer;The Psychometric Society, vol. 81(3), pages 674-701, September.
    8. Hamed Ghanbari & Michael Oancea & Stylianos Perrakis, 2021. "Shedding light on a dark matter: Jump diffusion and option‐implied investor preferences," European Financial Management, European Financial Management Association, vol. 27(2), pages 244-286, March.
    9. Nadarajah Saralees, 2007. "A Truncated Bivariate t Distribution," Stochastics and Quality Control, De Gruyter, vol. 22(2), pages 303-313, January.
    10. Georges Dionne & Jingyuan Li & Cedric Okou, 2012. "An Extension of the Consumption-based CAPM Model," Cahiers de recherche 1214, CIRPEE.
    11. Ping Chen, 2017. "A Comparative Study of Online Item Calibration Methods in Multidimensional Computerized Adaptive Testing," Journal of Educational and Behavioral Statistics, , vol. 42(5), pages 559-590, October.
    12. Jean-Sauveur Ay, 2015. "Information sur l’hétérogénéité de la terre et délégation de la régulation foncière," Revue d'économie politique, Dalloz, vol. 125(3), pages 453-474.
    13. Yoder, Jonathan & Gebert, Krista, 2012. "An econometric model for ex ante prediction of wildfire suppression costs," Journal of Forest Economics, Elsevier, vol. 18(1), pages 76-89.
    14. Joachim Inkmann & David Blake & Zhen Shi, 2017. "Managing Financially Distressed Pension Plans In The Interest Of Beneficiaries," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(2), pages 539-565, June.
    15. Baishuai Zuo & Chuancun Yin, 2022. "Multivariate doubly truncated moments for generalized skew-elliptical distributions with application to multivariate tail conditional risk measures," Papers 2203.00839, arXiv.org.
    16. Sebastian Schlütter, 2019. "Optimal taxation in non-life insurance markets," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 44(1), pages 1-26, March.
    17. Sebastian Schlütter, 2019. "Optimal taxation in non-life insurance markets," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 44(1), pages 1-26, March.
    18. Naijun Sha, 2019. "A New Inference Approach for Type-II Generalized Birnbaum-Saunders Distribution," Stats, MDPI, vol. 2(1), pages 1-16, February.
    19. Sumith Gunasekera, 2015. "Generalized inferences of $$R$$ R = $$\Pr (X>Y)$$ Pr ( X > Y ) for Pareto distribution," Statistical Papers, Springer, vol. 56(2), pages 333-351, May.
    20. Halkos, George & Kevork, Ilias, 2011. "Non-negative demand in newsvendor models:The case of singly truncated normal samples," MPRA Paper 31842, University Library of Munich, Germany.
    21. Christian E. Galarza & Tsung-I Lin & Wan-Lun Wang & Víctor H. Lachos, 2021. "On moments of folded and truncated multivariate Student-t distributions based on recurrence relations," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 84(6), pages 825-850, August.

    More about this item

    Keywords

    Bivariate log-normal distribution; Pearson's product-moment correlation; Truncated; Censored; Tail correlation; Solvency II;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

    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:zbw:bofrdp:rdp2013_017. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/bofgvfi.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.