
doi: 10.2139/ssrn.2539085
handle: 10278/43844
We evaluate European financial options under continuous cumulative prospect theory. Within this framework, it is possible to model investors’ attitude toward risk, which may be one of the possible causes of mispricing. We focus on probability risk attitudes and consider alternative probability weighting functions. In particular, curvature of the weighting function models optimism and pessimism when one moves from extreme probabilities, whereas elevation can be interpreted as a measure of relative optimism. The constant relative sensitivity weighting function is the only one, amongst those in the literature, which is able to model separately curvature and elevation. We are interested in studying the effects of both these features on options prices.
Behavioral finance; cumulative prospect theory; curvature; elevation; European option pricing, Behavioral finance, cumulative prospect theory, curvature, elevation, European option pricing., jel: jel:D81, jel: jel:C63, jel: jel:G13
Behavioral finance; cumulative prospect theory; curvature; elevation; European option pricing, Behavioral finance, cumulative prospect theory, curvature, elevation, European option pricing., jel: jel:D81, jel: jel:C63, jel: jel:G13
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
