High Stakes Decision Making: Normative,Descriptive and Prescriptive Considerations

This paper reviews the state of the art of research on individual decision-making in high-stakes, low-probability settings. A central theme is that resolving high-stakes decisions optimally poses a formidable challenge not only to naïve decision makers, but also to users of more sophisticated tools, such as decision analysis. Such decisions are difficult to make because precise information about probabilities is not available, and the dynamics of the decision are complex. When faced with such problems, naïve decision-makers fall prey to a wide range of potentially harmful biases, such as failing to recognize a high-stakes problem, ignoring the information about probabilities that does exist, and responding to complexity by accepting the status quo. A proposed agenda for future research focuses on how the process and outcomes of high-stakes decision making might be improved.     

Saving behaviour under terms-of-trade uncertainty: evidence from hidden cointegration approach

There are very few studies on the asymmetric relationship between private saving (PS) and terms-of-trade uncertainty. This paper examines the extent to which terms-of-trade shocks have an asymmetric effect on PSs in 18 Latin American countries (LACs) over the period 1970–2012. By using the recently developed hidden cointegration analysis within a likelihood-based panel framework and panel-error–correction technique, the results indicate that there exists a long-run relationship between PS and terms-of-trade volatility. It has found some support for the view that the PS ratios have responded asymmetrically to the terms-of-trade variability as an indicator of risk and income uncertainty. The findings of this study confirm that behavioural factors, particularly loss aversion as developed through prospect theory, influence PS patterns.     

Overconfidence and trading volume

Theoretical models predict that overconfident investors will trade more than rational investors. We directly test this hypothesis by correlating individual overconfidence scores with several measures of trading volume of individual investors. Approximately 3,000 online broker investors were asked to answer an internet questionnaire which was designed to measure various facets of overconfidence (miscalibration, volatility estimates, better than average effect). The measures of trading volume were calculated by the trades of 215 individual investors who answered the questionnaire. We find that investors who think that they are above average in terms of investment skills or past performance (but who did not have above average performance in the past) trade more. Measures of miscalibration are, contrary to theory, unrelated to measures of trading volume. This result is striking as theoretical models that incorporate overconfident investors mainly motivate this assumption by the calibration literature and model overconfidence as underestimation of the variance of signals. In connection with other recent findings, we conclude that the usual way of motivating and modeling overconfidence which is mainly based on the calibration literature has to be treated with caution. Moreover, our way of empirically evaluating behavioral finance models—the correlation of economic and psychological variables and the combination of psychometric measures of judgment biases (such as overconfidence scores) and field data—seems to be a promising way to better understand which psychological phenomena actually drive economic behavior.

An exploration of the effects of past experience and tourist involvement on destination loyalty formation

Gaining the loyalty of visitors is one of the main challenges of destinations. Previous studies generally agree that satisfaction is the key driver of tourist loyalty. However, it is necessary to conduct a more thorough study of destination loyalty formation by exploring the role of other variables as direct antecedents of loyalty and as moderators of the satisfaction–loyalty relationship. With this in mind, this study examines the influences of two variables that are especially relevant in the study of consumer behaviour in tourism: past experience and involvement. The results obtained from a sample of 807 tourists visiting a destination in Spain suggest that (1) satisfaction and past experience have a significant influence on loyalty; (2) it is necessary to separately consider the two dimensions of loyalty (i.e. the intention to return to a destination and the intention to recommend it) to understand loyalty formation; and (3) past experience is a quasi-moderator variable as it directly influences tourist loyalty and moderates the satisfaction–loyalty relationship. The findings of this research may help managers make decisions about market segmentation and guide the marketing efforts to gain loyal tourists.     

Paradise for who? Segmenting visitors' satisfaction with cognitive image and predicting behavioural loyalty

The purpose of this research is to assess the influence of socio‐demographic characteristics on destination image and loyalty, thereby offering a segmentation perspective of visitors to the island of Mauritius. A self‐administered survey of hotel guests was undertaken and resulted in a sample of 705 respondents. Using a k‐means clustering algorithm and discriminant analysis, three clusters of visitors were identified. Different image attributes predict visitors' revisit and recommendation intentions. These findings allow destination marketers to adapt the marketing mix elements to different segments while enabling a destination to emphasize the relevant attributes in promotion and positioning efforts. Copyright © 2011 John Wiley & Sons, Ltd.     

Does new health information affect health behaviour? The effect of health events on smoking cessation

This article empirically assesses the role of new health information in the decision to quit smoking. Using individual level data from the Swiss Household Panel, health information is proxied by three different types of health events: physical health problems, mental disorders, and accidents. Exploiting retrospectively reported information on smoking behaviour, smoking cessation is modelled using a discrete time hazard model that also accounts for estimation problems arising from almost quasi-complete separation in the data. The empirical results yield robust evidence that general health problems increase the probability of instantaneous smoking cessation. Differentiating between the type of health event reveals that the overall effect is mainly driven by physical health events.     

Decision making and planning under low levels of predictability: Enhancing the scenario method

In this paper we review and analyse scenario planning as an aid to anticipation of the future under conditions of low predictability. We examine how successful the method is in mitigating issues to do with inappropriate framing, cognitive and motivational bias, and inappropriate attributions of causality. Although we demonstrate that the scenario method contains weaknesses, we identify a potential for improvement. Four general principles that should help to enhance the role of scenario planning when predictability is low are discussed: (i) challenging mental frames, (ii) understanding human motivations, (iii) augmenting scenario planning through adopting the approach of crisis management, and (iv) assessing the flexibility, diversity, and insurability of strategic options in a structured option-against-scenario evaluation.     

"惯性策略"的理论与实证研究综述

Jegadeesh和Titman(1993)发现惯性策略(momentum strategy)即买入近期股价上涨的股票,卖出近期股价下跌的股票,这种利用历史信息的投资策略可以获得显著的超常收益.本文首先刻画了惯性策略的发展演变过程,然后评述了行为金融和有效市场学派在学术论战中所提出的立场观点、理论模型和实证证据,最后笔者回顾了国内在这一研究领域的最新进展.     

中国股价操纵的理论模型

本文基于行为金融学框架,在Allen和Gale、Chunsheng Zhou 和 Jianping Mei的研究基础上,以中国的股价操纵事件为研究对象,建立适合中国股市的股价操纵理论模型.研究发现操纵者利用一般投资者的代表性偏差和处置效应等行为偏差,能够完成操纵过程获取操纵利润,并且能够利用一般投资者的代表性偏差而将部分操纵成本转嫁给一般投资者.     

High-impact information types on market value: property appraisers’ information sources and assessment confidence

This explanatory paper describes and analyses which types of information professional property appraisers perceive to have the most impact on a commercial property’s estimated market value, which information sources they primarily use, and how reliable they perceive the information sources to be. The paper also investigates whether appraisers’ perceptions differ depending on the location of the business. A sample of 67 authorised property appraisers in Sweden was surveyed using the repertory grid technique as a questionnaire tool (to investigate unconscious behaviour), and non-parametric statistics. Analyses of the data show that four types of information have the greatest impact on estimated market value: the local environment and location are perceived as reliable, and property appraisers have confidence in those assessments; rental income seems problematic, because the property owner is the major source of information; and property appraisers are not confident in assessments based on discount rates. This pattern holds for various geographical locations.