Preferences with frames: A new utility specification that allows for the framing of risks

By Nicholas Barberis, Ming Huang. 2009

138 citations recorded by the source corpus.

Subfields: Artificial Intelligence, General Decision Sciences, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/b225b40ac7e3f9d35bd811469fbf7f0632d8959a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Nicholas Barberis

In General Decision Sciences

1. Nicholas Barberis
2. A. Shleifer
3. Markku Kaustia

In Management Science and Operations Research

1. Nicholas Barberis
2. Bayram Veli Salur

Citations in the corpus

• Psychology-based Models of Asset Prices and Trading Volume (2018, background): “42De Giorgi and Legg (2012) do not incorporate probability weighting into the specification in (26), but rather into a different gain-loss utility specification proposed by Barberis and Huang (2009) and recently improved by Guo and He (2017b). she is more loss averse.”
• Hard-to-Value Stocks, Behavioral Biases, and Informed Trading (2009, unknown): “, Kahneman and Lovallo (1993), Kahneman (2003), and Barberis and Huang (2009)).”