Adriana Breaban
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Adriana Breaban has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
Charles N. Noussair
3 shared publications- Iván Barreda-Tarrazona
Universitat Jaume I
2 shared publications Andreea Victoria Popescu
1 shared publicationCharles N Noussair
University of Arizona
1 shared publicationE. Salvador
1 shared publication- Gijs van de Kuilen
Tilburg University
1 shared publication
Latest Publications
- Open Access
- 3 March 2022
- Published by Elsevier in International Review of Economics & Finance
- Vol. 80, 552-568
Market risk aversion under volatility shifts: An experimental study
- 3 March 2022
- Published by Elsevier in International Review of Economics & Finance
- Vol. 80, 552-568
Open AccessMarket risk aversion under volatility shifts: An experimental study
- 1 March 2020
- Published by Elsevier in Journal of Economic Behavior & Organization
- Vol. 171, 391-405
Contests with money and time: Experimental evidence on overbidding in all-pay auctions
- 1 March 2020
- Published by Elsevier in Journal of Economic Behavior & Organization
- Vol. 171, 391-405
Contests with money and time: Experimental evidence on overbidding in all-pay auctions
- 19 June 2017
- Published by Oxford University Press (OUP) in Review of Finance
- Vol. 22 (1) , 279-309
Emotional State and Market Behavior
We consider the relationship between trader emotions and asset market behavior. We create experimental asset markets with the structure first studied by Smith, Suchanek, and Williams (1988), which is known to generate price bubbles and crashes. To track traders’ emotions in real time, we analyze participants’ facial expressions with facereading software before and while the market is operating. We find that a positive emotional state correlates with purchases and overpricing. Fear correlates with selling, low prices, and price decreases. The experiment confirms the intuition that emotions and market dynamics are closely related.
- 19 June 2017
- Published by Oxford University Press (OUP) in Review of Finance
- Vol. 22 (1) , 279-309
Emotional State and Market Behavior
We consider the relationship between trader emotions and asset market behavior. We create experimental asset markets with the structure first studied by Smith, Suchanek, and Williams (1988), which is known to generate price bubbles and crashes. To track traders’ emotions in real time, we analyze participants’ facial expressions with facereading software before and while the market is operating. We find that a positive emotional state correlates with purchases and overpricing. Fear correlates with selling, low prices, and price decreases. The experiment confirms the intuition that emotions and market dynamics are closely related.
- Open Access
- 28 October 2016
- Published by Frontiers Media SA in Frontiers in Psychology
- Vol. 7, 1688
Prudence, Emotional State, Personality, and Cognitive Ability
We report an experiment to consider the emotional correlates of prudent decision making. In the experiment, we present subjects with lotteries and measure their emotional response with facial recognition software. They then make binary choices between risky lotteries that distinguish prudent from imprudent individuals. They also perform tasks to measure their cognitive ability and a number of personality characteristics. We find that a more negative emotional state correlates with greater prudence. Higher cognitive ability and less conscientiousness is also associated with greater prudence.
- 28 October 2016
- Published by Frontiers Media SA in Frontiers in Psychology
- Vol. 7, 1688
Open AccessPrudence, Emotional State, Personality, and Cognitive Ability
We report an experiment to consider the emotional correlates of prudent decision making. In the experiment, we present subjects with lotteries and measure their emotional response with facial recognition software. They then make binary choices between risky lotteries that distinguish prudent from imprudent individuals. They also perform tasks to measure their cognitive ability and a number of personality characteristics. We find that a more negative emotional state correlates with greater prudence. Higher cognitive ability and less conscientiousness is also associated with greater prudence.
- 1 December 2015
- Published by Elsevier in Journal of Behavioral and Experimental Finance
- Vol. 8, 1-17
Trader characteristics and fundamental value trajectories in an asset market experiment
- 1 December 2015
- Published by Elsevier in Journal of Behavioral and Experimental Finance
- Vol. 8, 1-17
Trader characteristics and fundamental value trajectories in an asset market experiment
- 21 August 2014
- Published by Wiley in Pacific Economic Review
- Vol. 19 (3) , 332-354
When do Structured Funds become too Good to be True? An Experiment
In this experiment, structured funds are sequentially offered to investors as an alternative to bonds. Our results show that the order in which information is presented generates significant biases in decision‐making. These biases can have both positive and negative consequences on investors' financial behaviour. In fact, when the investment alternatives are made easier to compare, ‘too good to be true’ offers are more easily spotted. Simultaneously, when funds' expected performance shows an apparently positive trend, funds are more often chosen. The ‘too good to be true’ effect is alleviated by high transparency of the information on the funds return.
- 21 August 2014
- Published by Wiley in Pacific Economic Review
- Vol. 19 (3) , 332-354
When do Structured Funds become too Good to be True? An Experiment
In this experiment, structured funds are sequentially offered to investors as an alternative to bonds. Our results show that the order in which information is presented generates significant biases in decision‐making. These biases can have both positive and negative consequences on investors' financial behaviour. In fact, when the investment alternatives are made easier to compare, ‘too good to be true’ offers are more easily spotted. Simultaneously, when funds' expected performance shows an apparently positive trend, funds are more often chosen. The ‘too good to be true’ effect is alleviated by high transparency of the information on the funds return.