Shortfall aversion
Corresponding Author
Paolo Guasoni
School of Mathematical Sciences, Dublin City University, Dublin, Ireland
Correspondence
Paolo Guasoni, School of Mathematical Sciences, Dublin City University, Glasnevin, Dublin 9, D09 W6Y4, Ireland.
Email: paolo.guasoni@dcu.ie
Search for more papers by this authorGur Huberman
Columbia Business School, Columbia University, New York, New York
Search for more papers by this authorDan Ren
Department of Mathematics, University of Dayton, Dayton, Ohio
Search for more papers by this authorCorresponding Author
Paolo Guasoni
School of Mathematical Sciences, Dublin City University, Dublin, Ireland
Correspondence
Paolo Guasoni, School of Mathematical Sciences, Dublin City University, Glasnevin, Dublin 9, D09 W6Y4, Ireland.
Email: paolo.guasoni@dcu.ie
Search for more papers by this authorGur Huberman
Columbia Business School, Columbia University, New York, New York
Search for more papers by this authorDan Ren
Department of Mathematics, University of Dayton, Dayton, Ohio
Search for more papers by this authorFunding information:
Partially supported by the ERC (279582), NSF (DMS-14-12529), and SFI (16/IA/4443, 16/SPP/3347).
All authors have contributed equally to this study.
Abstract
Shortfall aversion reflects the higher utility loss of spending cuts from a reference than the utility gain from similar spending increases. Inspired by Prospect Theory's loss aversion and the peak-end rule, this paper posits a model of utility from spending scaled by past peak spending. In contrast to traditional models, which call for spending rates proportional to wealth, the optimal policy in this model implies a constant spending rate equal to the historical peak when wealth is relatively large. The spending rate increases when wealth reaches a model-determined multiple of peak spending. In 1926–2015, shortfall-averse spending is smooth and typically increasing.
CONFLICT OF INTEREST
The authors do not declare any conflicts of interest.
Open Research
DATA AVAILABILITY STATEMENT
This paper did not generate new data sets. The historical analysis uses data from the Ibbotson yearbook, which is published annually by Ibbotson and Associates.
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