IDEAS home Printed from https://ideas.repec.org/a/spr/jecfin/v37y2013i4p479-494.html
   My bibliography  Save this article

Simultaneous dependence between firm-level stock returns

Author

Listed:
  • Kenneth Moon
  • James LeSage

Abstract

We show that use of ordinary least-squares to explore relationships involving firm-level stock returns as the dependent variable in the face of structured dependence between individual firms leads to an endogeneity problem. This in turn leads to biased and inconsistent least-squares estimates. A maximum likelihood estimation procedure that will produce consistent estimates in these situations is illustrated. This is done using methods that have been developed to deal with spatial dependence between regional data observations, which can be applied to situations involving firm-level observations that exhibit a structure of dependence. In addition, we show how to correctly interpret maximum likelihood parameter estimates from these models in the context of firm-level dependence, and provide a Monte Carlo as well as applied illustration of the magnitude of bias that can arise. Copyright Springer Science+Business Media, LLC 2013

Suggested Citation

  • Kenneth Moon & James LeSage, 2013. "Simultaneous dependence between firm-level stock returns," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(4), pages 479-494, October.
    • Handle: RePEc:spr:jecfin:v:37:y:2013:i:4:p:479-494
    DOI: 10.1007/s12197-011-9188-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s12197-011-9188-5
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s12197-011-9188-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lakonishok, Josef & Lev, Baruch, 1987. "Stock Splits and Stock Dividends: Why, Who, and When," Journal of Finance, American Finance Association, vol. 42(4), pages 913-932, September.
    2. So, Raymond W & Tse, Yiuman, 2000. "Rationality of Stock Splits: The Target-Price Habit Hypothesis," Review of Quantitative Finance and Accounting, Springer, vol. 14(1), pages 67-84, January.
    3. James P. Lesage, 1997. "Bayesian Estimation of Spatial Autoregressive Models," International Regional Science Review, , vol. 20(1-2), pages 113-129, April.
    4. Christo Pirinsky & Qinghai Wang, 2006. "Does Corporate Headquarters Location Matter for Stock Returns?," Journal of Finance, American Finance Association, vol. 61(4), pages 1991-2015, August.
    5. Lung-Fei Lee, 2004. "Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models," Econometrica, Econometric Society, vol. 72(6), pages 1899-1925, November.
    6. Giuseppe Arbia & Badi H. Baltagi (ed.), 2009. "Spatial Econometrics," Studies in Empirical Economics, Springer, number 978-3-7908-2070-6, July.
    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. Liu, Shew Fan & Yang, Zhenlin, 2015. "Modified QML estimation of spatial autoregressive models with unknown heteroskedasticity and nonnormality," Regional Science and Urban Economics, Elsevier, vol. 52(C), pages 50-70.
    2. Katharina Schone & Wilfried Koch & Catherine Baumont, 2013. "Modeling local growth control decisions in a multi-city case: Do spatial interactions and lobbying efforts matter?," Public Choice, Springer, vol. 154(1), pages 95-117, January.
    3. Kirby, Dustin K. & LeSage, James P., 2009. "Changes in commuting to work times over the 1990 to 2000 period," Regional Science and Urban Economics, Elsevier, vol. 39(4), pages 460-471, July.
    4. Kapoor, Mudit & Kelejian, Harry H. & Prucha, Ingmar R., 2007. "Panel data models with spatially correlated error components," Journal of Econometrics, Elsevier, vol. 140(1), pages 97-130, September.
    5. Ge, Shuyi & Li, Shaoran & Linton, Oliver, 2023. "News-implied linkages and local dependency in the equity market," Journal of Econometrics, Elsevier, vol. 235(2), pages 779-815.
    6. Green, T. Clifton & Hwang, Byoung-Hyoun, 2009. "Price-based return comovement," Journal of Financial Economics, Elsevier, vol. 93(1), pages 37-50, July.
    7. Xu, Xiu & Wang, Weining & Shin, Yongcheol, 2020. "Dynamic Spatial Network Quantile Autoregression," IRTG 1792 Discussion Papers 2020-024, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    8. Lin, Ji-Chai & Singh, Ajai K. & Yu, Wen, 2009. "Stock splits, trading continuity, and the cost of equity capital," Journal of Financial Economics, Elsevier, vol. 93(3), pages 474-489, September.
    9. Lukas Dargel, 2021. "Revisiting estimation methods for spatial econometric interaction models," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-41, December.
    10. Osman Doğan, 2015. "Heteroskedasticity of Unknown Form in Spatial Autoregressive Models with a Moving Average Disturbance Term," Econometrics, MDPI, vol. 3(1), pages 1-27, February.
    11. Takaki Sato & Yasumasa Matsuda, 2016. "Spatial Autoregressive Conditional Heteroscedasticity Model and Its Application," TERG Discussion Papers 348, Graduate School of Economics and Management, Tohoku University.
    12. Keith Jakob & Ryan Whitby, 2017. "The impact of nominal stock price on ex-dividend price responses," Review of Quantitative Finance and Accounting, Springer, vol. 48(4), pages 939-953, May.
    13. repec:asg:wpaper:1013 is not listed on IDEAS
    14. Elhorst, J. Paul & Lacombe, Donald J. & Piras, Gianfranco, 2012. "On model specification and parameter space definitions in higher order spatial econometric models," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 211-220.
    15. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    16. Doğan, Osman & Taşpınar, Süleyman, 2014. "Spatial autoregressive models with unknown heteroskedasticity: A comparison of Bayesian and robust GMM approach," Regional Science and Urban Economics, Elsevier, vol. 45(C), pages 1-21.
    17. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    18. Zhiyong Chen & Jianbao Chen, 2022. "Bayesian analysis of partially linear, single-index, spatial autoregressive models," Computational Statistics, Springer, vol. 37(1), pages 327-353, March.
    19. Steven Kou & Xianhua Peng & Haowen Zhong, 2018. "Asset Pricing with Spatial Interaction," Management Science, INFORMS, vol. 64(5), pages 2083-2101, May.
    20. James LeSage & Carlos Llano-Verduras, 2014. "Forecasting spatially dependent origin and destination commodity flows," Empirical Economics, Springer, vol. 47(4), pages 1543-1562, December.
    21. David M. Drukker & Peter Egger & Ingmar R. Prucha, 2013. "On Two-Step Estimation of a Spatial Autoregressive Model with Autoregressive Disturbances and Endogenous Regressors," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 686-733, August.

    More about this item

    Keywords

    Dependent Observations; Local Market Indices; OLS Bias; Monte Carlo Simulation; C21; G11;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    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:spr:jecfin:v:37:y:2013:i:4:p:479-494. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.