Transparent structured products for retail investors

被引:1
|
作者
Kallio, Markku [1 ]
Halme, Merja [1 ]
Hardoroudi, Nasim Dehghan [1 ]
Aspara, Jaakko [2 ]
机构
[1] Aalto Univ, Dept Informat & Serv Econ, Sch Business, POB 21210, FI-00076 Aalto, Finland
[2] Hanken Sch Econ, PB 479, FI-00101 Helsinki, Finland
关键词
Finance; Structured products; Stochastic programming; Utility theory; Discrete choice; STOCHASTIC-PROGRAMMING-MODEL; CONSUMER PREFERENCES; DECISION; MANAGEMENT; SELECTION;
D O I
10.1016/j.ejor.2022.01.014
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Structured investment products (SPs) are derivative securities whose return is contingent on the return of their underlying assets, such as a certain stock market index. SPs have been criticized for being complex and costly on the inside, while attracting retail investors with emotionally appealing promises, on the surface, to provide tempting yields and protection for the capital invested. To circumvent such criticism, we consider transparent SPs (TSPs), which simply offer a lower and upper limit on annual return (after costs and fees) as well a transparent rule defining the return based on the return of the underlying asset. We study TSPs using both empirical and theoretical approaches. An empirical survey of real investors with best-worst scaling as well as theoretical analyses based on utility theory and multi-stage stochastic programming (MSSP) show that moderately priced TSPs are competitive in comparison with other investment products, such as index funds. Furthermore, retail investors actually exhibit substantial preference for TSPs with partial capital guarantees, over and above SPs with the superficially tempting, full capital guarantees. A theoretical, MSSP-based analysis similarly confirms that including TSPs in an investment portfolio can yield substantial gains in certainty equivalent annual return. The results further indicate that perceived gains from TSPs are sensitive to costs, market imperfections, and interest rates, as well as private preferences and stock market expectations of retail investors. This demonstrates how MSSP can be applied to financial engineering for successful implementation of TSPs in future financial markets. (C) 2022 The Authors. Published by Elsevier B.V.
引用
收藏
页码:752 / 767
页数:16
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