Quadratic utility functions require fixes when the probability of decreasing utility is large
Quadratic utility functions possess a maximum (bliss point) beyond which further increases lead to decreasing utility, creating severe limitations that require modifications or truncation when higher returns risk moving past this threshold.
Judged against reference works: claims of this kind are settled by reference works, not journal abstracts.
doi.org: A Note on the Implications of Quadratic Utility for Portfolio Theory. doi.org. https://doi.org/10.2307/2329767
Notes quadratic utility implies a maximum beyond which marginal utility declines, requiring restricted returns.
See more details
sciencedirect.com: On the computation of optimal monotone mean–variance portfolios via truncated quadratic utility ☆. sciencedirect.com. https://www.sciencedirect.com/science/article/abs/pii/S0304406812000614
Discusses computing portfolios via truncated quadratic utility to address its standard limitations.
link.springer.com: Portfolio decision with a quadratic utility and inflation risk. link.springer.com. https://link.springer.com/article/10.1186/s13662-018-1834-1
Notes quadratic utility is symmetric to a bliss point where further consumption lowers utility.
The paper trail · every fact has a biography
Challenge the receipt
Citation formatting by citeproc-js (Frank Bennett) and the Citation Style Language project. Source and licenses.
Terms · Privacy · How verdicts work · Dispute this receipt