IDEAS home Printed from https://ideas.repec.org/p/duk/dukeec/10-40.html

Rare Events, Financial Crises, and the Cross-Section of Asset Returns

Author

Listed:
  • Francesco Bianchi

Abstract

This paper shows that rare events are important in explaining the cross section of asset returns because of their role in shaping agents' expectations. I reconsider the "bad beta, good beta" ICAPM proposed by Campbell and Vuolteenaho and I point out that the explanatory power of the model relies on including the stock market crash that opened the Great Depression. When using a Markov-switching VAR, a '30s regime is identified. This regime receives a large weight when forming expectations consistent with the ICAPM, suggesting that the way agents think about financial markets is shaped by what happens during extreme circumstances. From a technical point of view, the paper extends the present value decomposition of Campbell and Shiller to allow for Markov-switching dynamics in the law of motion of the state variables. This approach could shed new light on the sensitivity of the present value decomposition methodology to the sample choice.

Suggested Citation

  • Francesco Bianchi, 2010. "Rare Events, Financial Crises, and the Cross-Section of Asset Returns," Working Papers 10-40, Duke University, Department of Economics.
    • Handle: RePEc:duk:dukeec:10-40
    as

    Download full text from publisher

    File URL: http://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID1592556_code1070428.pdf?abstractid=1592556&mirid=1
    File Function: main text
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mohsen Jafarian & Fauzias Mat Nor & Izani Ibrahim, 2018. "The Relative Importance of Cash Flow News and Discount Rate News at Driving Stock Price Change," Capital Markets Review, Malaysian Finance Association, vol. 26(1), pages 56-72.
    2. Kent Wang & Jiawei Li & Shicheng Huang, 2013. "Bad beta good beta, state-space news decomposition and the cross-section of stock returns," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 53(2), pages 587-607, June.
    3. Maio, Paulo, 2013. "Return decomposition and the Intertemporal CAPM," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4958-4972.
    4. Bianchi, Francesco, 2016. "Methods for measuring expectations and uncertainty in Markov-switching models," Journal of Econometrics, Elsevier, vol. 190(1), pages 79-99.
    5. Maio, Paulo & Philip, Dennis, 2015. "Macro variables and the components of stock returns," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 287-308.
    6. Borovicka, J. & Hansen, L.P., 2016. "Term Structure of Uncertainty in the Macroeconomy," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1641-1696, Elsevier.
    7. Ran Lu-Andrews & John L. Glascock, 2017. "Liquidity, Price Behavior, and Market-related Events," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(2), pages 318-351, March.
    8. repec:wyi:journl:002153 is not listed on IDEAS
    9. John Glascock & Ran Lu-Andrews, 2015. "The Price Behavior of REITs Surrounding Extreme Market-Related Events," The Journal of Real Estate Finance and Economics, Springer, vol. 51(4), pages 441-479, November.
    10. Julio Sarmiento & Mehdi Sadeghi & Juan S. Sandoval & Edgardo Cayon, 2021. "The application of proxy methods for estimating the cost of equity for unlisted companies: evidence from listed firms," Review of Quantitative Finance and Accounting, Springer, vol. 57(3), pages 1009-1031, October.
    11. Galsband, Victoria, 2012. "Downside risk of international stock returns," Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2379-2388.
    12. Huang, Wei & Liu, Qianqiu & Ghon Rhee, S. & Wu, Feng, 2012. "Extreme downside risk and expected stock returns," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1492-1502.
    13. L’Huillier, Jean-Paul & Yoo, Donghoon, 2017. "Bad news in the Great Depression, the Great Recession, and other U.S. recessions: A comparative study," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 79-98.

    More about this item

    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
    • G01 - Financial Economics - - General - - - Financial Crises
    • 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:duk:dukeec:10-40. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Department of Economics Webmaster (email available below). General contact details of provider: http://econ.duke.edu/ .

    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.