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BEGIN:VEVENT
DTSTAMP:20260622T103633Z
DTSTART;VALUE=DATE-TIME:20150205T143000
DTEND;VALUE=DATE-TIME:20150205T155000
SUMMARY:DR@W Forum: Victoria Henderson (Department of Statistics)
TZID:Europe/London
UID:20150205-8a1785d77b065d9b017b5dc5cb4e1fba@warwick.ac.uk
CREATED:20141003T132716Z
DESCRIPTION:"Randomized Strategies and Prospect Theory in a Dynamic Conte
 xt" We consider CPT agents who face optimal timing decisions in a dynami
 c setting\, e.g. when to stop gambling in a casino or when to liquidate 
 stocks. It is known that probability weighting leads to time inconsisten
 cy and a naïve agent may follow a different strategy to that which he in
 itially planned to follow (Barberis (2012)). However\, it also leads to 
 another feature which has not been considered to date - agents may prefe
 r randomised strategies to pure strategies\, i.e. CPT agents should spin
  a coin to help them reach an optimal solution. In the discrete model of
  Barberis (2012) we show that allowing randomized strategies leads to si
 gnificant gains in CPT value. In the continuous model of Ebert and Strac
 k (2014) we show their extreme conclusion that naïve CPT agents gamble “
 until the bitter end’’ is no longer valid if the agent has a coin in his
  pocket.
LOCATION:ÌÇÐÄTV Library (Wolfson Research Exchange Area- Room 1)
CATEGORIES:Draw Forum
LAST-MODIFIED:20210819T093725Z
ORGANIZER;CN="":
END:VEVENT
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