[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/jau/wpaper/2012-15.html
   My bibliography  Save this paper

The demand for structured products: an experimental approach

Author

Listed:
  • Adriana Gabriela Breaban

    (LEE and Economics Department, Universitat Jaume I, Castellón, Spain)

  • Juan Carlos Matallín-Sáez

    (Finance and Accounting Dept., Universitat Jaume I, Castellón, Spain)

  • Iván Barreda-Tarrazona

    (LEE and Economics Department, Universitat Jaume I, Castellón, Spain)

  • Mª Rosario Balaguer-Franch

    (Finance and Accounting Dept., Universitat Jaume I, Castellón, Spain)

Abstract
Structured investment funds showed an important growth in the mutual fund industry. We analyze this type of fund’s demand using the experimental methodology which gives us perfect control over the characteristics of the funds and the information provided to the investor. Different types of structured guaranteed funds, with fixed combinations of secured and additional benefits, are sequentially offered to university students who act as investors. Subjects also have the alternative possibility to buy bonds. Our results show that information available to investors, and particularly the order in which this information is presented, generates significant biases in their decision making which can have both positive and negative consequences on their financial behavior. In fact, when the investment alternatives are made easier to compare, too good to be true investment offers get more easily spotted, whereas funds whose performance shows an apparently positive trend result overvalued in comparison to bonds.

Suggested Citation

  • Adriana Gabriela Breaban & Juan Carlos Matallín-Sáez & Iván Barreda-Tarrazona & Mª Rosario Balaguer-Franch, 2012. "The demand for structured products: an experimental approach," Working Papers 2012/15, Economics Department, Universitat Jaume I, Castellón (Spain).
    • Handle: RePEc:jau:wpaper:2012/15
    as

    Download full text from publisher

    File URL: http://www.doctreballeco.uji.es/wpficheros/Breaban_etal_2012.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nicholas Bardsley & Robin Cubitt & Graham Loomes & Peter Moffatt & Chris Starmer & Robert Sugden, 2009. "Experimental Economics: Rethinking the Rules," Economics Books, Princeton University Press, edition 1, number 9074.
    2. Simone Alfarano & Andrea Morone & Eva Camacho, 2011. "The role of public and private information in a laboratory financial market," Working Papers. Serie AD 2011-06, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    3. James J. Choi & David Laibson & Brigitte C. Madrian, 2010. "Why Does the Law of One Price Fail? An Experiment on Index Mutual Funds," The Review of Financial Studies, Society for Financial Studies, vol. 23(4), pages 1405-1432, April.
    4. Ajay Khorana & Henri Servaes, 2011. "What Drives Market Share in the Mutual Fund Industry?," Review of Finance, European Finance Association, vol. 16(1), pages 81-113.
    5. Robert Kosowski & Allan Timmermann & Russ Wermers & Hal White, 2006. "Can Mutual Fund “Stars” Really Pick Stocks? New Evidence from a Bootstrap Analysis," Journal of Finance, American Finance Association, vol. 61(6), pages 2551-2595, December.
    6. Anufriev, Mikhail & Bao, Te & Sutan, Angela & Tuinstra, Jan, 2019. "Fee structure and mutual fund choice: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 449-474.
    7. Iván Barreda-Tarrazona & Juan Matallín-Sáez & Mª Balaguer-Franch, 2011. "Measuring Investors’ Socially Responsible Preferences in Mutual Funds," Journal of Business Ethics, Springer, vol. 103(2), pages 305-330, October.
    8. Simone Alfarano & Iván Barreda-Tarrazona & Eva Camacho-Cuena, 2006. "On the role of heterogeneous and imperfect information in a laboratory financial market," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 14(4), pages 417-433, December.
    9. Friedman,Daniel & Sunder,Shyam, 1994. "Experimental Methods," Cambridge Books, Cambridge University Press, number 9780521456821, September.
    10. Kliger, Doron & Levy, Ori & Sonsino, Doron, 2003. "On absolute and relative performance and the demand for mutual funds--experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 52(3), pages 341-363, November.
    11. Ferson, Wayne E & Schadt, Rudi W, 1996. "Measuring Fund Strategy and Performance in Changing Economic Conditions," Journal of Finance, American Finance Association, vol. 51(2), pages 425-461, June.
    12. Smith, Vernon L & Suchanek, Gerry L & Williams, Arlington W, 1988. "Bubbles, Crashes, and Endogenous Expectations in Experimental Spot Asset Markets," Econometrica, Econometric Society, vol. 56(5), pages 1119-1151, September.
    13. Malhotra, Naresh K, 1982. "Information Load and Consumer Decision Making," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(4), pages 419-430, March.
    Full references (including those not matched with items on IDEAS)

    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. Adriana Breaban & Juan Carlos Matallín-Sáez & Iván Barreda-Tarrazona & Mª Rosario Balaguer-Franch, 2014. "Special Section: Experiments on Learning, Methods, and Voting," Pacific Economic Review, Wiley Blackwell, vol. 19(3), pages 332-354, August.
    2. Iván Barreda-Tarrazona & Juan Matallín-Sáez & Mª Balaguer-Franch, 2011. "Measuring Investors’ Socially Responsible Preferences in Mutual Funds," Journal of Business Ethics, Springer, vol. 103(2), pages 305-330, October.
    3. Breaban, A.G., 2014. "Behavior and asset markets : Individual decisions, emotions and fundamental value trajectories," Other publications TiSEM a20e6a40-f15e-4331-83cb-c, Tilburg University, School of Economics and Management.
    4. Nuzzo, Simone & Morone, Andrea, 2017. "Asset markets in the lab: A literature review," Journal of Behavioral and Experimental Finance, Elsevier, vol. 13(C), pages 42-50.
    5. Morone, Andrea & Nuzzo, Simone, 2015. "Market Efficiency, Trading Institutions and Information Mirages: evidence from an experimental asset market," MPRA Paper 67448, University Library of Munich, Germany.
    6. Adams, John C. & Mansi, Sattar A. & Nishikawa, Takeshi, 2012. "Are mutual fund fees excessive?," Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2245-2259.
    7. Duffy, John & Rabanal, Jean Paul & Rud, Olga A., 2021. "The impact of ETFs in secondary asset markets: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 674-696.
    8. Owen Powell & Natalia Shestakova, 2017. "Experimental asset markets: behavior and bubbles," Chapters, in: Morris Altman (ed.), Handbook of Behavioural Economics and Smart Decision-Making, chapter 21, pages 375-391, Edward Elgar Publishing.
    9. Jung‐Soon Shin & Minki Kim & Dongjun Oh & Tong Suk Kim, 2019. "Do hedge funds time market tail risk? Evidence from option‐implied tail risk," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(2), pages 205-237, February.
    10. Zheng, Yao & Osmer, Eric & Zhang, Ruiyi, 2018. "Sentiment hedging: How hedge funds adjust their exposure to market sentiment," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 147-160.
    11. Blair Cleave & Nikos Nikiforakis & Robert Slonim, 2013. "Is there selection bias in laboratory experiments? The case of social and risk preferences," Experimental Economics, Springer;Economic Science Association, vol. 16(3), pages 372-382, September.
    12. Gil-Bazo, Javier & Ruiz-Verdú, Pablo, 2006. "Yet another puzzle? the relation between price and performance in the mutual fund industry," DEE - Working Papers. Business Economics. WB wb066519, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    13. Blake, David & Caulfield, Tristan & Ioannidis, Christos & Tonks, Ian, 2014. "Improved inference in the evaluation of mutual fund performance using panel bootstrap methods," Journal of Econometrics, Elsevier, vol. 183(2), pages 202-210.
    14. Grønborg, Niels S. & Lunde, Asger & Timmermann, Allan & Wermers, Russ, 2021. "Picking funds with confidence," Journal of Financial Economics, Elsevier, vol. 139(1), pages 1-28.
    15. Nucera, Federico & Valente, Giorgio, 2013. "Carry trades and the performance of currency hedge funds," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 407-425.
    16. Ayadi, Mohamed A. & Kryzanowski, Lawrence & Mohebshahedin, Mahmood, 2018. "Impact of sponsorship on fixed-income fund performance," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 121-137.
    17. Herrmann, Ulf & Rohleder, Martin & Scholz, Hendrik, 2016. "Does style-shifting activity predict performance? Evidence from equity mutual funds," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 112-130.
    18. Hunter, David & Kandel, Eugene & Kandel, Shmuel & Wermers, Russ, 2014. "Mutual fund performance evaluation with active peer benchmarks," Journal of Financial Economics, Elsevier, vol. 112(1), pages 1-29.
    19. Thorp, S. & Bateman, H. & Dobrescu, L.I. & Newell, B.R. & Ortmann, A., 2020. "Flicking the switch: Simplifying disclosure to improve retirement plan choices," Journal of Banking & Finance, Elsevier, vol. 121(C).
    20. Huij, Joop & Derwall, Jeroen, 2008. ""Hot Hands" in bond funds," Journal of Banking & Finance, Elsevier, vol. 32(4), pages 559-572, April.

    More about this item

    Keywords

    investor behavior; experiment; guaranteed investment fund.;
    All these keywords.

    JEL classification:

    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:jau:wpaper:2012/15. 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: María Aurora Garcia Gallego (email available below). General contact details of provider: https://edirc.repec.org/data/ueujies.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.