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A részvénytartás spektrális kockázata hosszú távon
[On the spectral measure of risk in holding stocks in the long run]

Author

Listed:
  • Csóka, Péter
  • Bihary, Zsolt
  • Kondor, Gábor

Abstract

A hosszú távon befektetők (például nyugdíjalapok, céldátum-eszközalapok és fiatal befektetők) számára fontos kérdés, hogy mennyire kockázatos hosszú távon részvényt tartani. Tanulmányunk a spektrális kockázati mértékeket helyezi középpontba, amelyek a vizsgált kitettségek lehetséges veszteségeit úgy átlagolják, hogy a nagyobb veszteségek nagyobb súlyt kapnak. A kitettséget a kockázatmentes bankbetét és a részvényárfolyam különbségének választva, a spektrális kockázatra tekinthetünk úgy, mint annak a mértékére, hogy a befektető átlagosan mennyire fogja azt bánni, hogy kockázatmentes bankbetét helyett részvényekbe fektetett. Tanulmányunkban illusztráljuk Bihary és szerzőtársai [2018] eredményeit, amelyek analitikusan megmutatták, hogy a részvénytartás spektrális kockázata kellően hosszú távon csökken, sőt negatív lesz. Ugyanakkor numerikusan azt tapasztaljuk, hogy az elviselhető kockázathoz legalább száz évet kell várnunk.* Journal of Economic Literature (JEL) kód: G11.

Suggested Citation

  • Csóka, Péter & Bihary, Zsolt & Kondor, Gábor, 2018. "A részvénytartás spektrális kockázata hosszú távon [On the spectral measure of risk in holding stocks in the long run]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 687-700.
    • Handle: RePEc:ksa:szemle:1782
    DOI: 10.18414/KSZ.2018.7-8.687
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    References listed on IDEAS

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    1. Andreas Fagereng & Charles Gottlieb & Luigi Guiso, 2017. "Asset Market Participation and Portfolio Choice over the Life-Cycle," Journal of Finance, American Finance Association, vol. 72(2), pages 705-750, April.
    2. Csoka, Peter & Herings, P. Jean-Jacques & Koczy, Laszlo A., 2007. "Coherent measures of risk from a general equilibrium perspective," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2517-2534, August.
    3. repec:bla:jfinan:v:58:y:2003:i:2:p:753-778 is not listed on IDEAS
    4. Acerbi, Carlo, 2002. "Spectral measures of risk: A coherent representation of subjective risk aversion," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1505-1518, July.
    5. Hung Nguyen & Uyen Pham & Hien Tran, 2012. "On some claims related to Choquet integral risk measures," Annals of Operations Research, Springer, vol. 195(1), pages 5-31, May.
    6. Ľuboš Pástor & Robert F. Stambaugh, 2012. "Are Stocks Really Less Volatile in the Long Run?," Journal of Finance, American Finance Association, vol. 67(2), pages 431-478, April.
    7. Peter Carr & Liuren Wu, 2003. "The Finite Moment Log Stable Process and Option Pricing," Journal of Finance, American Finance Association, vol. 58(2), pages 753-777, April.
    8. Bodie, Zvi & Merton, Robert C. & Samuelson, William F., 1992. "Labor supply flexibility and portfolio choice in a life cycle model," Journal of Economic Dynamics and Control, Elsevier, vol. 16(3-4), pages 427-449.
    9. Carlo Acerbi & Dirk Tasche, 2002. "Expected Shortfall: A Natural Coherent Alternative to Value at Risk," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 31(2), pages 379-388, July.
    10. Andrew Ang & Dimitris Papanikolaou & Mark M. Westerfield, 2014. "Portfolio Choice with Illiquid Assets," Management Science, INFORMS, vol. 60(11), pages 2737-2761, November.
    11. Wang, Shaun, 1996. "Premium Calculation by Transforming the Layer Premium Density," ASTIN Bulletin, Cambridge University Press, vol. 26(1), pages 71-92, May.
    12. Carlo Acerbi & Giacomo Scandolo, 2008. "Liquidity risk theory and coherent measures of risk," Quantitative Finance, Taylor & Francis Journals, vol. 8(7), pages 681-692.
    13. Benoit Mandelbrot, 1963. "New Methods in Statistical Economics," Journal of Political Economy, University of Chicago Press, vol. 71(5), pages 421-421.
    14. Zsolt Bihary & Péter Csóka & Dávid Zoltán Szabó, 2020. "Spectral risk measure of holding stocks in the long run," Annals of Operations Research, Springer, vol. 295(1), pages 75-89, December.
    15. Rockafellar, R. Tyrrell & Uryasev, Stanislav, 2002. "Conditional value-at-risk for general loss distributions," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1443-1471, July.
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    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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