IDEAS home Printed from https://ideas.repec.org/p/fip/fedmem/99.html

Time-varying risk and international portfolio diversification with contagious bear markets

Author

Listed:
  • Giorgio De Santis
  • Bruno Gerard

Abstract

In this paper we estimate and test a conditional version of the international CAPM. By using a parsimonious parameterization recently proposed by Ding and Engle (1994), we allow risk premia, betas, and correlations to very through time and test the cross-section restrictions of the model using a relatively large number of assets. One advantage of our test is that it does not require the market weights to be observed in each period. In support of the international CAPM, we find that world-wide risk is priced whereas country-specific risk is not. Further, we find that the price of world risk is time-varying and has a strong January seasonal. When the price of risk is allowed to vary, a January dummy and the world dividend yield are driven out as independently priced factors. However, contrary to the prediction of the model, differences in risk premia across countries are explained not only by world-wide risk, but also by a constant country-specific factor. The estimated correlations reveal three main facts, cross-country correlations vary through time; they have been affected only to a limited extent by the process of liberalization of the last decade; they tend to increase during severe bear markets in the U.S. However, international correlations are smaller than correlations among U.S. assets. Therefore, investors gain from global diversification, even with contagious bear markets.

Suggested Citation

  • Giorgio De Santis & Bruno Gerard, 1995. "Time-varying risk and international portfolio diversification with contagious bear markets," Discussion Paper / Institute for Empirical Macroeconomics 99, Federal Reserve Bank of Minneapolis.
  • Handle: RePEc:fip:fedmem:99
    DOI: 10.21034/dp.99
    as

    Download full text from publisher

    File URL: https://www.minneapolisfed.org/research/dp/dp99.pdf
    File Function: Full Text
    Download Restriction: no

    File URL: https://libkey.io/10.21034/dp.99?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
    ---><---

    References listed on IDEAS

    as
    1. Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-131, February.
    2. Chan, K. C. & Karolyi, G. Andrew & Stulz, ReneM., 1992. "Global financial markets and the risk premium on U.S. equity," Journal of Financial Economics, Elsevier, vol. 32(2), pages 137-167, October.
    3. Engel, Charles & Rodrigues, Anthony P, 1989. "Tests of International CAPM with Time-Varying Covariances," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(2), pages 119-138, April-Jun.
    4. repec:bla:jfinan:v:44:y:1989:i:2:p:307-25 is not listed on IDEAS
    5. Alberto Giovannini & Philippe Jorion, 1988. "The Time-Variation of Risk and Return in the Foreign Exchange and Stock Markets," NBER Working Papers 2573, National Bureau of Economic Research, Inc.
    6. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    7. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
    8. Cumby, Robert E & Glen, Jack D, 1990. "Evaluating the Performance of International Mutual Funds," Journal of Finance, American Finance Association, vol. 45(2), pages 497-521, June.
    9. Campbell, John Y, 1993. "Intertemporal Asset Pricing without Consumption Data," American Economic Review, American Economic Association, vol. 83(3), pages 487-512, June.
    10. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    11. Ferson, Wayne E & Harvey, Campbell R, 1993. "The Risk and Predictability of International Equity Returns," The Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 527-566.
    12. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Karolyi, G Andrew & Stulz, Rene M, 1996. "Why Do Markets Move Together? An Investigation of U.S.-Japan Stock Return Comovements," Journal of Finance, American Finance Association, vol. 51(3), pages 951-986, July.
    2. G. Andrew Karolyi & Rene Stulz, "undated". "Why do Markets Move Together? An Investigation of U.S.-Japan Stock Return Comovements using ADRS," Research in Financial Economics 9501, Ohio State University.

    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. Tim Bollerslev & Ray Y. Chou & Narayanan Jayaraman & Kenneth F. Kroner - L, 1991. "es modéles ARCH en finance : un point sur la théorie et les résultats empiriques," Annals of Economics and Statistics, GENES, issue 24, pages 1-59.
    2. Bruno Solnik, 1991. "Finance Theory and Investment Management," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 127(3), pages 303-324, September.
    3. Haigh, Michael S. & Bryant, Henry L., 2001. "The effect of barge and ocean freight price volatility in international grain markets," Agricultural Economics, Blackwell, vol. 25(1), pages 41-58, June.
    4. Cathy W. S. Chen & Muyi Li & Nga T. H. Nguyen & Songsak Sriboonchitta, 2017. "On Asymmetric Market Model with Heteroskedasticity and Quantile Regression," Computational Economics, Springer;Society for Computational Economics, vol. 49(1), pages 155-174, January.
    5. Yueh-Neng Lin & Ken Hung, 2008. "Is Volatility Priced?," Annals of Economics and Finance, Society for AEF, vol. 9(1), pages 39-75, May.
    6. Bjorn Hansson & Peter Hordahl, 1998. "Testing the conditional CAPM using multivariate GARCH-M," Applied Financial Economics, Taylor & Francis Journals, vol. 8(4), pages 377-388.
    7. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521770415, August.
    8. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521547871, August.
    9. Bauwens, L. & Hafner C. & Laurent, S., 2011. "Volatility Models," LIDAM Discussion Papers ISBA 2011044, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
      • BAUWENS, Luc & HAFNER, Christian & LAURENT, Sébastien, 2011. "Volatility models," LIDAM Discussion Papers CORE 2011058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
      • Bauwens, L. & Hafner, C. & Laurent, S., 2012. "Volatility Models," LIDAM Reprints ISBA 2012028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    10. Tim Bollerslev, 2008. "Glossary to ARCH (GARCH)," CREATES Research Papers 2008-49, Department of Economics and Business Economics, Aarhus University.
    11. Mario Jovanovic, 2009. "Serbian foreign exchange market during 2004-2008," SEEMHN papers 19, National Bank of Serbia.
    12. Bollerslev, Tim & Engle, Robert F. & Nelson, Daniel B., 1986. "Arch models," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 49, pages 2959-3038, Elsevier.
    13. Haigh, Michael S. & Bryant, Henry L., 2000. "Price And Price Risk Dynamics In Barge And Ocean Freight Markets And The Effects On Commodity Trading," 2000 Conference, April 17-18 2000, Chicago, Illinois 18934, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    14. António Portugal Duarte & João Sousa Andrade & Adelaide Duarte, 2008. "Exchange Rate and Interest Rate Volatility in a Target Zone: The Portuguese Case," GEMF Working Papers 2008-03, GEMF, Faculty of Economics, University of Coimbra.
    15. Michael S. Haigh & Henry L. Bryant, 2000. "The effect of barge and ocean freight price volatility in international grain markets," Agricultural Economics, International Association of Agricultural Economists, vol. 25(1), pages 41-58, June.
    16. Paul D. McNelis & G.C. Lim, 1998. "Parameterizing Currency Risk in the EMS: The Irish Pound and Spanish Peseta against the German Mark," International Finance 9805001, University Library of Munich, Germany.
    17. Dominique Guegan & Bertrand K. Hassani, 2019. "Risk Measurement," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02119256, HAL.
    18. repec:nsb:seemhn:19 is not listed on IDEAS
    19. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    20. Tastan, Hüseyin, 2006. "Estimating time-varying conditional correlations between stock and foreign exchange markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 360(2), pages 445-458.
    21. Darrat, Ali F. & Gilley, Otis W. & Li, Bin & Wu, Yanhui, 2011. "Revisiting the risk/return relations in the Asian Pacific markets: New evidence from alternative models," Journal of Business Research, Elsevier, vol. 64(2), pages 199-206, February.

    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:fip:fedmem:99. 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: Jannelle Ruswick The email address of this maintainer does not seem to be valid anymore. Please ask Jannelle Ruswick to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/cfrbmus.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.