Risk Preference Elicitation and Financial Advice Taking

Author(s):  
David J. Streich
2009 ◽  
Author(s):  
Tanja F. Blackstone ◽  
Jerry C. Crabb ◽  
Frederick L. Oswald

2018 ◽  
Vol 73 ◽  
pp. 22-33 ◽  
Author(s):  
Manuela Meraner ◽  
Oliver Musshoff ◽  
Robert Finger

Author(s):  
Jia Zhang ◽  
Ning Zhang ◽  
Liang-Jie Zhang

Applying auctions to Web services selection and invocation calls for examination due to the unique features of Web services, such as interoperable machine-to-machine interactions and re-enterable bargaining services. In this chapter we propose a formal model for Web services-based auctions. Examining the one-sided sealed auction type, we prove mathematically that service requestors’ risk preferences could lead to different pricing strategies for service providers towards higher profit. We argue that Service Level Agreement (SLA) documents can be used to analyze service requestors’ preferences. On top of WS-Agreement, we propose a basic service requestor risk preference elicitation algorithm, as well as a historical data-based service requestor risk preference prediction model. Guidelines are provided to iteratively approach the learning rate of the proposed risk preference prediction model. The methods and techniques presented in this chapter can be reused to investigate and examine more facades of services-oriented auctions, towards establishing a new research realm on comprehensive services-oriented auctions.


2019 ◽  
Vol 101 ◽  
pp. 206-225 ◽  
Author(s):  
Gosse A.G. Alserda ◽  
Benedict G.C. Dellaert ◽  
Laurens Swinkels ◽  
Fieke S.G. van der Lecq

Author(s):  
Hans-Martin von Gaudecker ◽  
Arthur H. O. van Soest ◽  
Erik Wengström

Author(s):  
Felix Holzmeister ◽  
Matthias Stefan

Abstract With the rise of experimental research in the social sciences, numerous methods to elicit and classify people’s risk attitudes in the laboratory have evolved. However, evidence suggests that attitudes towards risk may vary considerably when measured with different methods. Based on a within-subject experimental design using four widespread risk preference elicitation tasks, we find that the different methods indeed give rise to considerably varying estimates of individual and aggregate level risk preferences. Conducting simulation exercises to obtain benchmarks for subjects’ behavior, we find that the observed heterogeneity in risk preference estimates across methods is qualitatively similar to the heterogeneity arising from independent random draws from the choice distributions observed in the experiment. Our study, however, provides evidence that subjects are surprisingly well aware of the variation in the riskiness of their choices. We argue that this calls into question the common interpretation of variation in revealed risk preferences as being inconsistent.


Author(s):  
Andreas Hackethal ◽  
Michael Kirchler ◽  
Christine Laudenbach ◽  
Michael Razen ◽  
Annika Weber

2020 ◽  
Author(s):  
Andreas Hackethal ◽  
Michael Kirchler ◽  
Christine Laudenbach ◽  
Michael Razen ◽  
Annika Weber

2008 ◽  
Author(s):  
Hans-Martin von Gaudecker ◽  
Arthur H. O. <!>van Soest ◽  
Erik Wengström

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