1 / 22

Exploring Riskiness Measures and Gambling Wealth in Decision Theory

Understand different riskiness measures in economic decision-making, such as Aumann and Serrano's index and Foster and Hart's operational measure. Explore the connection between buying/selling prices of lotteries and riskiness measures. Address the paradox of gambling wealth and issues like the WTA/WTP disparity. Learn about functions like Elog(W+x)-log(W) and the role of bankruptcy in risk assessment.

tassos
Download Presentation

Exploring Riskiness Measures and Gambling Wealth in Decision Theory

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. DecisionTheory Lecture 13

  2. Riskinessmeasures and gamblingwealth • Riskinessmeasures – the idea and description • Aumann, Serrano (2008) – economicindex of riskiness • Foster, Hart (2009) – operationalmeasure of riskiness • Buying and sellingprice for a lottery and theconnection to riskinessmeasures • Lewandowski (2010) • Twoproblemsresolved by gamblingwealth • Rabin (2000) paradox • Buying/sellingprice gap (WTA/WTP disparity)

  3. The idea

  4. Quest for operationalmeaning

  5. Log is „the first” functiongoingfromabovethatassigns – infinity to bankruptcy

  6. Example

  7. f(W)=Elog(W+x)-log(W) Max loss W>R(x) W<R(x) W*=R(x)

  8. Lotterydillution

More Related