Ambiguity aversion and optimal derivative-based pension investment with stochastic income and volatility
dc.contributor.author | Zeng, Yan | |
dc.contributor.author | Li, Danping | |
dc.contributor.author | Chen, Zheng | |
dc.contributor.author | Yang, Zhou | |
dc.date.accessioned | 2018-03-21T13:41:56Z | |
dc.date.available | 2018-03-21T13:41:56Z | |
dc.date.issued | 2018-03-01 | |
dc.description | The final publication is available at Elsevier via http://dx.doi.org/10.1016/j.jedc.2018.01.023 © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
dc.description.abstract | This paper provides a derivative-based optimal investment strategy for an ambiguity-adverse pension investor who faces not only risks from time-varying income and market return volatility but also uncertain economic conditions over a long time horizon. We derive a robust dynamic derivative strategy and show that the optimal strategy under ambiguity aversion reduces the exposures to market return risk and volatility risk and that the investor holds opposite positions for the two risk exposures. In the presence of a derivative, ambiguity has distinct effects on the optimal investment strategy. More important, we demonstrate the utility improvement when considering ambiguity and exploiting derivatives and show that ambiguity aversion and derivative trading significantly improve utility when return volatility increases. This improvement becomes more significant under ambiguity aversion over a long investment horizon. | en |
dc.description.sponsorship | National Natural Science Foundation of China under Grant [71771220, 71721001, 71571195, 11371155, 11326199, 11771158] | en |
dc.description.sponsorship | Major Program of the National Social Science Foundation of China [No. 17ZDA073] | en |
dc.description.sponsorship | Fok Ying Tung Education Foundation for Young Teachers in the Higher Education Institutions of China [No. 151081] | en |
dc.description.sponsorship | Guangdong Natural Science Foundation for Research Team [No. 2014A030312003] | en |
dc.description.sponsorship | Guangdong Natural Science Funds for Distinguished Young Scholars [No. 2015A030306040] | en |
dc.description.sponsorship | Natural Science Foundation of Guangdong Province of China [No. 2014A030310195] | en |
dc.description.sponsorship | Insurance Society of China [No. ISCKT2016-N-l-07] | en |
dc.identifier.uri | http://dx.doi.org/10.1016/j.jedc.2018.01.023 | |
dc.identifier.uri | http://hdl.handle.net/10012/13046 | |
dc.language.iso | en | en |
dc.publisher | Elsevier | en |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Ambiguity | en |
dc.subject | DC pension plan | en |
dc.subject | Derivative | en |
dc.subject | Robust portfolio choice | en |
dc.subject | Stochastic salary | en |
dc.subject | Stochastic volatility | en |
dc.title | Ambiguity aversion and optimal derivative-based pension investment with stochastic income and volatility | en |
dc.type | Article | en |
dcterms.bibliographicCitation | Zeng, Y., Li, D., Chen, Z., & Yang, Z. (2018). Ambiguity aversion and optimal derivative-based pension investment with stochastic income and volatility. Journal of Economic Dynamics and Control, 88, 70–103. https://doi.org/10.1016/j.jedc.2018.01.023 | en |
uws.contributor.affiliation1 | Faculty of Mathematics | en |
uws.contributor.affiliation2 | Statistics and Actuarial Science | en |
uws.peerReviewStatus | Reviewed | en |
uws.scholarLevel | Faculty | en |
uws.typeOfResource | Text | en |
uws.typeOfResource | Text | en |