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2009, Manuscript submitted for publication
We examined the effect of three state emotions (fear, anger, and happiness) on risk-taking in lottery and interactive tasks. Incidental emotions were induced using a writing task. Participants then made choices either between lotteries (Experiment 1) or between alternative strategies in a risky two-person interactive decision (Experiment 2). Both experiments involved substantial monetary outcomes. We found that fearful participants were more risk-averse than happy or angry participants in Experiment 1, in which risk was based on a randomizing device, but less risk-averse in Experiment 2, in which risk was based on the decision of another human. The results demonstrate that the impact of emotions on risk taking is contingent on both the specific nature of the uncertainty faced and the specific emotion induced. Emotions of similar valence can have diametrically opposite effects on risk-taking, and risk-taking propensities in gambling tasks can be very different from those in interactive decisions.
We examined the effects of two emotions, fear and anger, on risk-taking behavior in two types of tasks: Those in which uncertainty is generated by a randomizing device (''lottery risk'') and those in which it is generated by the uncertain behavior of another person (''person-based risk''). Participants first completed a writing task to induce fear or anger. They then made choices either between lotteries (Experiment 1) or between actions in risky two-person decisions (Experiments 2 and 3). The experiments involved substantial real-money payoffs. Replicating earlier studies (which used hypothetical rewards), Experiment 1 showed that fearful participants were more risk-averse than angry participants in lottery-risk tasks. However-the key result of this study-fearful participants were substantially less risk-averse than angry participants in a two-person task involving person-based risk (Experiment 2). Experiment 3 offered options and payoffs identical to those of Experiment 2 but with lottery-type risk. Risk-taking returned to the pattern of Experiment 1. The impact of incidental emotions on risk-taking appears to be contingent on the class of uncertainty involved. For lottery risk, fear increased the frequency of risk-averse choices and anger reduced it. The reverse pattern was found when uncertainty in the decision was person-based. Further, the effect was specifically on differences in willingness to take risks rather than on differences in judgments of how much risk was present. The impact of different emotions on risk-taking or riskavoiding behavior is thus contingent on the type, as well as the degree, of uncertainty the decision maker faces.
SSRN Electronic Journal, 2013
We consider the relationship between emotions and decision-making under risk. Specifically, we examine the emotional correlates of risk-averse decisions. In our experiment, individuals' facial expressions are monitored with facereading software, as they are presented with risky lotteries. We then correlate these facial expressions with subsequent decisions in risky choice tasks. We find that the valence of one's emotional state is negatively correlated, and the strength of a number of emotions: fear, happiness, anger, and surprise, is positively correlated, with risk-averse decisions.
There is a large volume of research showing that emotions have relevant effects on decision-making. We contribute to this literature by experimentally investigating the impact of four specific emotional states – joviality, sadness, fear, and anger – on risk attitudes. In order to do so, we fit two models of behavior under risk: the Expected Utility model (EU) and the Rank Dependent Expected Utility model (RDEU), assuming several functional forms of the weighting function. Our results indicate that all emotional states mitigate risk aversion. Furthermore, we show that there are some differences across gender and participants' experience in laboratory experiments.
Recent discussions in decision sciences and behavioral economics stress the potential impact of affect on decision outcomes. In the present study, we conducted random-assignment experiments (N = 253) to investigate whether affect can cause temporary fluctuations in risk preferences. In particular, we employed film clips to vary the valence (positive / negative) and arousal level (low / high) of the affective states of student participants; following this, we elicited and observed risk preferences by asking the participants to make choices among different lotteries. The financial consequences of the lottery choices varied randomly among the fixed-, low-, and high-stakes treatment groups. Our results suggest that the impact of affect on risk preferences depends on the magnitude of the financial stakes. Specifically, we find that sadness induces risk aversion but only if the financial stakes are fixed or low. We find no evidence that affect influences risk preferences under high-stakes treatments. The observed sensitivity to variations in the financial incentives in our study reinforces the value of incentive-compatible study designs.
Journal of Life Economics, 2019
ABSTRACT This study investigates the effects of basic emotions like fear, sadness, anger, and hope on risk aversion and the intent to make a risky investment. The data used in the study in 2017 were obtained through convenience sampling. A relationship was found between fear and risk aversion and between risk aversion and the intent to make a risky investment. Both objective and subjective financial literacy affect the relationship between fear and risk aversion, while the latter significantly affects sadness. The study makes an important contribution to the literature on the effects of basic emotions on risky investment intent.
Frontiers in Psychology, 2018
Previous research indicates that when people participate in multi-trial games of chance, the results of previous trials impact subsequent wager size. For example, the "house money" and "break even" effects suggest that an individual's risk-taking propensity increases when financially winning or losing during a gambling session. Additionally, the "mood maintenance hypothesis" and affect regulation hypothesis suggest that people in positive and negative affective states are less and more likely to gamble than when in neutral affective states, respectively. In the present study, participants completed a series of trials on three computerized slot machines with varying expected values (EV; -10, 0, +10%) of return on investment, and they were paid a percentage of their final bankrolls in real money. Although results did not support the "house money" or "break even" effects, the "mood maintenance hypothesis" was robustly supported in all EV conditions. This is some of the first evidence supporting this theory using an ecologically valid, real-money gambling task.
2003
There is some evidence indicating a relationship between variations in affect and risk aversion: under certain conditions the behavior observed suggests less risk aversion the more positive the affective state. The research presented in this paper examined how variations in everyday affective states influenced risk taking behavior in the laboratory using simple gambling tasks and then sought to corroborate findings in the laboratory using data on real world financial decision making. We observed a significant and positive relationship between affect and risky behavior in the laboratory that we replicated using structural equation modeling on real world financial data. It is argued that cognitive theories of affect and decision making might have real economic consequences.
Journal of Behavioral and Experimental Economics, 2014
This study measures risk and loss aversion using Prospect Theory and the impact of emotions on those parameters. Our controlled experiment at two universities in Mexico City, using uncompensated students as research subjects, found results similar to those obtained by Tanaka et al. (2010). In order to study the role of emotions, we provided subjects with randomly varied information on rising deaths due to drug violence in Mexico and also on youth unemployment. In agreement with previous studies, we find that risk aversion on the gains domain decreases with age and income. We also find that loss aversion decreases with income and is less for students in public universities. With regard to emotions, risk aversion increases with sadness and loss aversion is negatively influenced by anger. On the loss domain, anger dominates sadness. On average, anger reduces loss aversion by half.
2017
Emotions play an important role in risk perception. There are many ways in which users’ personal feelings can impact their evaluation of and reaction to product risks. Strong emotions and overall affect can influence behavior and decision-making in a manner distinct from related stimuli. In order to explore this relationship, the process of risk-benefit analysis is observed through an evaluation of several different activities and products, such as adrenaline sports, gambling, and smoking.
Frontiers in Psychology, 2021
Two studies showed that emotion expressions serve as cues to the expresser’s willingness to take risks in general, as well as in five risk domains (ethical, financial, health and safety, recreational, and social). Emotion expressions did not have a uniform effect on risk estimates across risk domains. Rather, these effects fit behavioral intentions associated with each emotion. Thus, anger expressions were related to ethical and social risks. Sadness reduced perceived willingness to take financial (Study 1 only), recreational, and social risks. Happiness reduced perceived willingness to take ethical and health/safety risks relative to neutrality. Disgust expressions increased the perceived likelihood of taking a social risk. Finally, neutrality increased the perceived willingness to engage in risky behavior in general. Overall, these results suggest that observers use their naïve understanding of the meaning of emotions to infer how likely an expresser is to engage in risky behavior.
Abstract As an effort to resolve the conflicting evidences in the emotional influences on human decision making, the present study investigated the effects of positive and negative emotions induced by a false-feedback test on risky decision making in a gambling task. According to the measurements of PAD Emotion Scale (Mehrabian, 1995) both positive and negative emotions were successfully induced.
Cognitive Affective & Behavioral Neuroscience, 2011
Emotions and their psychophysiological correlates are thought to play an important role in decision-making under risk. We used a novel gambling task to measure psychophysiological responses during selection of explicitly presented risky options and feedback processing. Active-choice trials, in which the participant had to select the size of bet, were compared to fixed-bet, no-choice trials. We further tested how the chances of winning and bet size affected choice behavior and psychophysiological arousal. Individual differences in impulsive and risk-taking traits were assessed. The behavioral results showed sensitivity to the choice requirement and to the chances of winning: Participants were faster to make a response on no-choice trials and when the chances of winning were high. In active-choice trials, electrodermal activity (EDA) increased with bet size during both selection and processing of losses. Cardiac responses were sensitive to choice uncertainty: Stronger selection-related heart rate (HR) decelerations were observed in trials with lower chances of winning, particularly on active-choice trials. Finally, betting behavior and psychophysiological responsiveness were moderately correlated with self-reported impulsivity-related traits. In conclusion, we demonstrate that psychophysiological arousal covaries with risk-sensitive decision-making outside of a learning context. Our results further highlight the differential sensitivities of EDA and HR to psychological features of the decision scenario.
Emotion, 2010
It is well established that emotion plays a key role in human social and economic decision making. The recent literature on emotion regulation (ER), however, highlights that humans typically make efforts to control emotion experiences. This leaves open the possibility that decision effects previously attributed to acute emotion may be a consequence of acute ER strategies such as cognitive reappraisal and expressive suppression. In Study 1, we manipulated ER of laboratory-induced fear and disgust, and found that the cognitive reappraisal of these negative emotions promotes risky decisions (reduces risk aversion) in the Balloon Analogue Risk Task and is associated with increased performance in the prehunch/hunch period of the Iowa Gambling Task. In Study 2, we found that naturally occurring negative emotions also increase risk aversion in Balloon Analogue Risk Task, but the incidental use of cognitive reappraisal of emotions impedes this effect. We offer evidence that the increased effectiveness of cognitive reappraisal in reducing the experience of emotions underlies its beneficial effects on decision making.
2003
There is some evidence indicating a relationship between variations in affect and risk aversion: under certain conditions the behavior observed suggests less risk aversion the more positive the affective state. The research presented in this paper examined how variations in everyday affective states influenced risk taking behavior in the laboratory using simple gambling tasks and then sought to corroborate findings in the laboratory using data on real world financial decision making. We observed a significant and positive relationship between affect and risky behavior in the laboratory that we replicated using structural equation modeling on real world financial data. It is argued that cognitive theories of affect and decision making might have real economic consequences.
2011
■ Cognitive strategies typically involved in regulating negative emotions have recently been shown to also be effective with positive emotions associated with monetary rewards. However, it is less clear how these strategies influence behavior, such as preferences expressed during decision-making under risk, and the underlying neural circuitry. That is, can the effective use of emotion regulation strategies during presentation of a reward-conditioned stimulus influence decision-making under risk and neural structures involved in reward processing such as the striatum? To investigate this question, we asked participants to engage in imagery-focused regulation strategies during the presentation of a cue that preceded a financial decision-making phase. During the decision phase, participants then made a choice between a risky and a safe monetary lottery. Participants who successfully used cognitive regulation, as assessed by subjective ratings about perceived success and facility in implementation of strategies, made fewer risky choices in comparison with trials where decisions were made in the absence of cognitive regulation. Additionally, BOLD responses in the striatum were attenuated during decisionmaking as a function of successful emotion regulation. These findings suggest that exerting cognitive control over emotional responses can modulate neural responses associated with reward processing (e.g., striatum) and promote more goal-directed decisionmaking (e.g., less risky choices), illustrating the potential importance of cognitive strategies in curbing risk-seeking behaviors before they become maladaptive (e.g., substance abuse). ■
The aim of this study was to assess the role of specific emotions on risk perception providing a more stringent experimental test of the Appraisal Tendencies Framework (ATF). Consistent with expectations, angry and happy participants made more optimistic risk estimates than participants who were made sad. As hypothesized by ATF, happiness and anger also led people to somewhat higher certainty appraisals than sadness. However, this change in perception did not mediate the impact of emotions on risk estimates. Taken together, our results provide the evidence for causal role of specific emotions in risk perception and contribute to literature showing that the effects of emotion on judgment are not solely due to the valence of the experienced emotion. However, they also suggest that the processes underlying emotion effects remain in need for further specifications.
Schmalenbach Business Review, 2016
Recent discussions in decision sciences and economics stress the potential impact of affect on decision outcomes. In this study, we conducted incentivecompatible laboratory experiments (N = 253) to investigate whether affect causes temporary fluctuations in risk preferences. In particular, we employed film clips to induce participants into joyful, fearful and sad affective states and subsequently elicited risk preferences by asking the participants to make choices among different lotteries. The financial consequences of the lottery choices varied randomly among the fixed-, low-, and high-stakes treatment groups. We find only weak evidence that affective states influence risk preferences. In particular, we find some evidence that sadness leads to risk aversion, but we find no effects for joy and fear. Our findings question recent claims in the literature that the relationship between affect and risk preferences is strong and unambiguous.
2014
There is a large volume of research showing that emotions do have relevant effects on decisionmaking. We contribute to this literature by experimentally investigating the impact of four specific emotional states – joviality, sadness, fear, and anger – on risk attitudes. In order to do so, we fit two models of behavior under risk: the Expected Utility model (EU) and the Rank Dependent Expected Utility model (RDEU), assuming several functional forms of the weighting function. Our results indicate that all emotional states instigate risk-seeking behavior. Furthermore, we show that there are some differences across gender and participants’ experience in laboratory experiments.
2007
We examine the effects of human affect (pleasant or unpleasant feelings) and past outcomes (gains and losses) on risk-taking in a stock investment simulation in which 101 stock investors rated their feelings while simultaneously making investment decisions for twenty consecutive business days. We find that affect shifts individual's risk behavior: individuals experiencing pleasant feelings engaged in risk-taking after significant gains, while individuals experiencing unpleasant feelings avoided risk-taking after significant losses. Only after accounting for the joint effects of affect and past outcomes, do we find stronger relationships between past outcomes and risk taking.
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