IDEAS home Printed from https://ideas.repec.org/p/sce/scecfa/404.html
   My bibliography  Save this paper

A Stochastic Programming Framework for International PortfolioManagement

Author

Listed:
  • Hercules Vladimirou

    () (Dept. Public & Business Administration University of Cyprus)

  • Nikolas Topaloglou

    (University of Geneva)

  • Stavros A. Zenios

    (University of Cyprus)

Abstract

We present a multi-stage stochastic programming model for managing portfolios of stock and bond indices denominated in multiple currencies. The portfolios are exposed to market risks and currency risks. Uncertainty in asset returns and exchange rates is represented by means of discrete distributions (scenario sets) in a way that captures empirically observed asymmetries and fat tails in the distributions of these random variables and their correlations. The stochastic programming model takes a holistic view of the problem and determines the optimal asset allocation as well as risk hedging decisions by means of forward contracts and options. The options are priced consistently with the postulated scenario sets for the underlying securities, while also satisfying fundamental non-arbitrage principles. The modeling framework provides a basis to investigate the performance of alternative risk management strategies. Through extensive computational experiments, both in static as well as in dynamic settings we demonstrate (a) the benefits of international diversification, (b) the impact of alternative hedging strategies – including options – to control the main risk exposures, (c) the relative performance of alternative risk hedging strategies and alternative model forms. We find that additional benefits are gained as a progressively integrated view towards total risk management is taken, i.e., as the constituent risks are jointly controlled through appropriate means.

Suggested Citation

  • Hercules Vladimirou & Nikolas Topaloglou & Stavros A. Zenios, 2006. "A Stochastic Programming Framework for International PortfolioManagement," Computing in Economics and Finance 2006 404, Society for Computational Economics.
  • Handle: RePEc:sce:scecfa:404
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. Marcet, Albert & Obiols-Homs, Francesc & Weil, Philippe, 2007. "Incomplete markets, labor supply and capital accumulation," Journal of Monetary Economics, Elsevier, pages 2621-2635.
    2. Conesa, Juan Carlos & Krueger, Dirk, 2006. "On the optimal progressivity of the income tax code," Journal of Monetary Economics, Elsevier, vol. 53(7), pages 1425-1450, October.
    3. S. Rao Aiyagari, 1994. "Uninsured Idiosyncratic Risk and Aggregate Saving," The Quarterly Journal of Economics, Oxford University Press, vol. 109(3), pages 659-684.
    4. Harold L. Cole & Narayana R. Kocherlakota, 2001. "Efficient Allocations with Hidden Income and Hidden Storage," Review of Economic Studies, Oxford University Press, vol. 68(3), pages 523-542.
    5. Mariacristina De Nardi, 2004. "Wealth Inequality and Intergenerational Links," Review of Economic Studies, Oxford University Press, vol. 71(3), pages 743-768.
    6. Gouveia, Miguel & Strauss, Robert P., 1994. "Effective Federal Individual Tax Functions: An Exploratory Empirical Analysis," National Tax Journal, National Tax Association, vol. 47(2), pages 317-339, June.
    7. Jonathan Heathcote & Kjetil Storesletten & Giovanni L. Violante, 2010. "The Macroeconomic Implications of Rising Wage Inequality in the United States," Journal of Political Economy, University of Chicago Press, vol. 118(4), pages 681-722, August.
    8. Santiago Budria Rodriguez & Javier Diaz-Gimenez & Vincenzo Quadrini & Jose-Victor Rios-Rull, 2002. "Updated facts on the U.S. distributions of earnings, income, and wealth," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Sum, pages 2-35.
    9. David Domeij & Jonathan Heathcote, 2004. "On The Distributional Effects Of Reducing Capital Taxes," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(2), pages 523-554, May.
    10. Gouveia, Miguel & Strauss, Robert P., 1994. "Effective Federal Individual Tax Functions: An Exploratory Empirical Analysis," National Tax Journal, National Tax Association, vol. 47(2), pages 317-39, June.
    11. Huggett, Mark, 1993. "The risk-free rate in heterogeneous-agent incomplete-insurance economies," Journal of Economic Dynamics and Control, Elsevier, vol. 17(5-6), pages 953-969.
    12. David Altig, 2001. "Simulating Fundamental Tax Reform in the United States," American Economic Review, American Economic Association, vol. 91(3), pages 574-595, June.
    13. Mendoza, Enrique G. & Razin, Assaf & Tesar, Linda L., 1994. "Effective tax rates in macroeconomics: Cross-country estimates of tax rates on factor incomes and consumption," Journal of Monetary Economics, Elsevier, vol. 34(3), pages 297-323, December.
    14. Josep Pijoan-Mas, 2006. "Precautionary Savings or Working Longer Hours?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 9(2), pages 326-352, April.
    15. Juster, F Thomas & Stafford, Frank P, 1991. "The Allocation of Time: Empirical Findings, Behavioral Models, and Problems of Measurement," Journal of Economic Literature, American Economic Association, vol. 29(2), pages 471-522, June.
    16. Ventura, Gustavo, 1999. "Flat tax reform: A quantitative exploration," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1425-1458, September.
    17. Hubbard, R. Glenn & Skinner, Jonathan & Zeldes, Stephen P., 1994. "The importance of precautionary motives in explaining individual and aggregate saving," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 40(1), pages 59-125, June.
    18. Samuelson, Paul A, 1975. "Optimum Social Security in a Life-Cycle Growth Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 16(3), pages 539-544, October.
    19. Alan Auerbach & Laurence Kotlikoff, 2002. "Auerbach-Kotlikoff Model," QM&RBC Codes 90, Quantitative Macroeconomics & Real Business Cycles.
    20. Hopenhayn, Hugo A & Prescott, Edward C, 1992. "Stochastic Monotonicity and Stationary Distributions for Dynamic Economies," Econometrica, Econometric Society, vol. 60(6), pages 1387-1406, November.
    21. J. A. Mirrlees, 1971. "An Exploration in the Theory of Optimum Income Taxation," Review of Economic Studies, Oxford University Press, vol. 38(2), pages 175-208.
    22. Solon, Gary, 1992. "Intergenerational Income Mobility in the United States," American Economic Review, American Economic Association, vol. 82(3), pages 393-408, June.
    23. Castaneda, Ana & Diaz-Gimenez, Javier & Rios-Rull, Jose-Victor, 1998. "Exploring the income distribution business cycle dynamics," Journal of Monetary Economics, Elsevier, vol. 42(1), pages 93-130, June.
    24. Zimmerman, David J, 1992. "Regression toward Mediocrity in Economic Stature," American Economic Review, American Economic Association, vol. 82(3), pages 409-429, June.
    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. Topaloglou, Nikolas & Vladimirou, Hercules & Zenios, Stavros A., 2008. "Pricing options on scenario trees," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 283-298, February.

    More about this item

    Keywords

    international portfolios; stochastic prorgamming; risk management;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

    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:sce:scecfa:404. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/sceeeea.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.