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The valuation “by-tranche” of composite investment instruments

Author

Listed:
  • Doron Sonsino

    (COMAS-College of Management Academic Studies)

  • Mosi Rosenboim

    (Ben-Gurion University of the Negev)

  • Tal Shavit

    (COMAS-College of Management Academic Studies)

Abstract

The return on composite investment instruments takes the form of weighted-average, derived from two economic indicators or more. Three experiments illustrate that prospective investors tend to valuate composites “by-tranche”, consistently violating the premise of reduction. Valuation-by-tranche shows for uncertain and risky composites and reflects in allocation problems and binary choice. The willingness to invest still strongly increases when one tranche hedges against the other, suggesting that reduced-form considerations may interfere with the inclination to value by part. A hybrid model where investors weight the values of tranches, but also respond to the reduced-form, approximates the data most accurately.

Suggested Citation

  • Doron Sonsino & Mosi Rosenboim & Tal Shavit, 2017. "The valuation “by-tranche” of composite investment instruments," Theory and Decision, Springer, vol. 82(3), pages 353-393, March.
    • Handle: RePEc:kap:theord:v:82:y:2017:i:3:d:10.1007_s11238-016-9567-7
    DOI: 10.1007/s11238-016-9567-7
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    1. Dirk G. Baur & Brian M. Lucey, 2010. "Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold," The Financial Review, Eastern Finance Association, vol. 45(2), pages 217-229, May.
    2. Mohammed Abdellaoui & Peter Klibanoff & Lætitia Placido, 2015. "Experiments on Compound Risk in Relation to Simple Risk and to Ambiguity," Management Science, INFORMS, vol. 61(6), pages 1306-1322, June.
    3. Shlomo Benartzi & Richard H. Thaler, 1995. "Myopic Loss Aversion and the Equity Premium Puzzle," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(1), pages 73-92.
    4. Adrian Bruhin & Helga Fehr-Duda & Thomas Epper, 2010. "Risk and Rationality: Uncovering Heterogeneity in Probability Distortion," Econometrica, Econometric Society, vol. 78(4), pages 1375-1412, July.
    5. Ert, Eyal & Erev, Ido, 2008. "The rejection of attractive gambles, loss aversion, and the lemon avoidance heuristic," Journal of Economic Psychology, Elsevier, vol. 29(5), pages 715-723, November.
    6. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    7. Mohammed Abdellaoui & Aurelien Baillon & Laetitia Placido & Peter P. Wakker, 2011. "The Rich Domain of Uncertainty: Source Functions and Their Experimental Implementation," American Economic Review, American Economic Association, vol. 101(2), pages 695-723, April.
    8. Guido Baltussen & Thierry Post & Pim van Vliet, 2006. "Violations of Cumulative Prospect Theory in Mixed Gambles with Moderate Probabilities," Management Science, INFORMS, vol. 52(8), pages 1288-1290, August.
    9. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    10. Booij, Adam S. & van de Kuilen, Gijs, 2009. "A parameter-free analysis of the utility of money for the general population under prospect theory," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 651-666, August.
    11. Moshe Levy & Haim Levy, 2013. "Prospect Theory: Much Ado About Nothing?," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 7, pages 129-144, World Scientific Publishing Co. Pte. Ltd..
    12. Peter Brooks & Simon Peters & Horst Zank, 2014. "Risk behavior for gain, loss, and mixed prospects," Theory and Decision, Springer, vol. 77(2), pages 153-182, August.
    13. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    14. Ferdinand Vieider, 2009. "The effect of accountability on loss aversion," Post-Print halshs-00451605, HAL.
    15. Pavlo R. Blavatskyy & Ganna Pogrebna, 2010. "Models of stochastic choice and decision theories: why both are important for analyzing decisions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(6), pages 963-986.
    16. T. Clifton Green & Byoung-Hyoun Hwang, 2012. "Initial Public Offerings as Lotteries: Skewness Preference and First-Day Returns," Management Science, INFORMS, vol. 58(2), pages 432-444, February.
    17. Kroll, Yoram & Levy, Haim & Rapoport, Amnon, 1988. "Experimental Tests of the Separation Theorem and the Capital Asset Pricing Model," American Economic Review, American Economic Association, vol. 78(3), pages 500-519, June.
    18. Shefrin, Hersh & Statman, Meir, 1985. "The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence," Journal of Finance, American Finance Association, vol. 40(3), pages 777-790, July.
    19. Vendrik, Maarten C.M. & Woltjer, Geert B., 2007. "Happiness and loss aversion: Is utility concave or convex in relative income?," Journal of Public Economics, Elsevier, vol. 91(7-8), pages 1423-1448, August.
    20. Peter P. Wakker, 2013. "The Data of Levy and Levy (2002) “Prospect Theory: Much Ado About Nothing?” Actually Support Prospect Theory," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 8, pages 145-147, World Scientific Publishing Co. Pte. Ltd..
    21. Ido Kallir & Doron Sonsino, 2009. "The Neglect of Correlation in Allocation Decisions," Southern Economic Journal, Southern Economic Association, vol. 75(4), pages 1045-1066, April.
    22. Machina, Mark J & Schmeidler, David, 1992. "A More Robust Definition of Subjective Probability," Econometrica, Econometric Society, vol. 60(4), pages 745-780, July.
    23. Ido Kallir & Doron Sonsino, 2009. "The Neglect of Correlation in Allocation Decisions," Southern Economic Journal, John Wiley & Sons, vol. 75(4), pages 1045-1066, April.
    24. Read, Daniel & Loewenstein, George & Rabin, Matthew, 1999. "Choice Bracketing," Journal of Risk and Uncertainty, Springer, vol. 19(1-3), pages 171-197, December.
    25. Nicholas C. Barberis, 2013. "Thirty Years of Prospect Theory in Economics: A Review and Assessment," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 173-196, Winter.
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    Cited by:

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    More about this item

    Keywords

    Composite investments; Frame invariance; Correlation neglect; Limited loss aversion; Increasing marginal disutility of loss;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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