i am looking for some articles on how to identify and estimate utility functions in the stock market.
My own search results yielded some papers by Blackburn and Ukhov https://www.researchgate.net/publication/228137635_Estimating_Preferences_Toward_Risk_Evidence_from_Dow_Jones
and by Jakusch https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2845871 What do you think about their approach?
As far as i understand for the Blackburn-Ukhov paper you need to make a strong assumption regarding the marginal investor, which is always a different individual for each point in time and asset, where for the Jakusch paper, you need individual level trading data plus some fancy machine learning ..of which i'm not sure whether this makes sense as it havent been published anywhere.
Im also not sure whether the methodology in the latter is correct as it ignores the dynamic optimization of an individual. Would you mind to comment on this?
Thanks a lot for your replies :-) Thomas