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The purpose of this paper is to measure individual investors’ expectations of risk and return and to evaluate different expectation measures.

The authors measure individual investors’ expectations of risk and return regarding an index fund and two stocks using survey data on a random sample of individual investors in Sweden. The survey contains three different return and four different risk expectation measures. To evaluate the different expectation measures, three different evaluation perspectives are considered.

The risk expectations obtained from the different measures are positively correlated across respondents, but their average magnitudes differ considerably across measures. The return expectations are also positively correlated, and their magnitudes also differ, but to a lesser extent. Consequently, the same individual can express risk expectations that either underestimate or overestimate the forward risk, depending on the measure that is used. The variations in the expectations mainly relate to differences in the responses to the questions underlying the different measures, rather than to the methods used to obtain the expectations. The results from the evaluation of the measures indicate that the expectation measure proposed by Dominitz and Manski (2011) is the only measure for which it is possible to distinguish between individuals’ expectations, using all three of the evaluation perspectives.

This is, to the best of the authors’ knowledge, the first paper that evaluates different survey measures of individual investors’ expectations of risk and return.

The purpose of this paper is to investigate the relationship between individual investors’ level of sophistication and their expectations of risk and return in the stock market.

The author combines survey and registry data on individual investors in Sweden to obtain 11 sophistication proxies that previous research has related to individuals’ financial decisions. These proxies are related to a survey measure regarding individual investors’ expectations of risk and return in an index fund using linear regressions.

The findings in this paper indicate that sophisticated investors have lower risk and higher return expectations that are closer to objective measures than those of less-sophisticated investors.

These results are important, since they enhance the understanding of the underlying mechanisms through which sophistication can influence financial decisions.

The value of online reviews has been well documented by academics and practitioners. However, to maximise the benefits of consumer reviews, online sellers must avoid the negative consequences associated with customer feedback, such as reputation loss, or product returns after purchase. In developing a better understanding of the relationships between online reviews and their potential for negative impacts, this research aims to explore product returns. Through a quantitative model, this research demonstrates why online reviews can result in product return behaviours.

The hypotheses were tested via two studies. In Study 1, the authors examine the direct effects of review valence and review volume on product returns by analysing secondary data on 4,995 stores on China's Taobao.com. Study 2 further extends and validates the findings of Study 1 with a survey sample of 795 participants across several online shopping platforms. This analysis examines the mechanics and conditions that influence the relationships between online reviews and product returns through partial least squares-structural equation modelling (PLS-SEM).

The results show that both review valence (i.e. average star ratings) and the number of reviews can increase the probability of product returns due to the high expectations that result from positive online reviews. Further, the effect of review valence on product returns is stronger for first-time purchasers at a store. In terms of mitigation, the analysis shows that bilateral communications between sellers and buyers can temper the unrealistic expectations set by positive reviews, leading to fewer product returns.

This research adds to the literature on online reviews by exploring the negative consequences of online reviews and the role they play in online purchasing decisions. The findings also provide direct evidence as to why online reviews can result in more product returns, adding clarity to extant research which contains conflicting conclusions as to how online reviews affect product return behaviours.

In this paper, the authors investigate the impact of the confirmation bias on returns, expectations and hedging of optimistic and pessimistic traders in the cryptocurrencies, commodities and stock markets before and during COVID-19 periods.

The authors investigate the impact of the confirmation bias on the estimated returns and the expectations of optimistic and pessimistic traders by employing the financial stochastic model with confirmation bias. Indeed, the authors compute the optimal portfolio weights, the optimal hedge ratios and the hedging effectiveness.

The authors find that without confirmation bias, during the two sub periods, the expectations of optimistic and pessimistic trader’s seem to convergence toward zero. However, when confirmation bias is particularly strong, the average distance between these two expectations are farer. The authors further show that, with and without confirmation bias, the optimal weights (the optimal hedge ratios) are found to be lower (higher) for all pairs of financial market during the COVID-19 period as compared to the pre-COVID-19 period. The authors also document that the stronger the confirmation bias is, the lower the optimal weight and the higher the optimal hedge ratio. Moreover, results reveal that the values of the optimal hedge ratio for optimistic and pessimistic traders affected or not by the confirmation bias are higher during the COVID-19 period compared to the estimates for the pre-COVID period and inversely for the optimal hedge ratios and the hedging effectiveness index. Indeed, either for optimists or pessimists, the presence of confirmation bias leads to higher optimal hedge ratio, higher optimal weights and higher hedging effectiveness index.

The findings of the study provided additional evidence for investors, portfolio managers and financial analysts to exploit confirmation bias to make an optimal portfolio allocation especially during COVID-19 and non-COVID-19 periods. Moreover, the findings of this study might be useful for investors as they help them to make successful investment decision in potential hedging strategies.

First, this is the first scientific work that conducts a stochastic analysis about the impact of emotional biases on the estimated returns and the expectations of optimists and pessimists in cryptocurrency and commodity markets. Second, the originality of this study stems from the fact that the authors make a comparative analysis of hedging behavior across different markets and different periods with and without the impact of confirmation bias. Third, this paper pays attention to the impact of confirmation bias on the expectations and hedging behavior in cryptocurrencies and commodities markets in extremely stressful periods such as the recent COVID-19 pandemic.

To test the Miller Price Optimism Model using a new proxy for heterogenous expectations and to examine if high differential stocks behave like glamour stocks and low differential stocks behave like value stocks.

Whisper/analyst forecast differentials were measured for a sample of stocks, combined into portfolios and held for one month. If the Miller model was supported, high differential stocks were expected to have lower portfolio returns than low differential stocks due to the greater divergence between optimistic whisper forecasts and rational analysts consensus forecasts.

High differential quintiles had significantly lower future returns than low differential quintiles supporting the Miller model. High differential stocks resembled glamour stocks while low differential stocks behaved like value stocks.

These results pertain to the ultra‐short time horizon of two months prior to the earnings announcement. Future research should replicate this study for a longer 3‐12 month time horizon.

Ultra short‐term investors should hold glamour stocks and long term investors should hold value stocks. Rising volatility suggests that investors should define the time horizon for holding assets.

It is one of only two studies that directly uses earnings forecasts as a proxy for heterogenous expectations. It adds to the sparse literature on whisper forecasts. It may be used by academicians studying price optimism effects and institutional investors following stock returns during earnings announcements.

The distribution literature provides support for examining product returns from a customer-based perspective. Based on this need, the purpose of this paper is to identify the underlying causes of product returns based on a survey of 308 Wal-Mart and Target customers who engaged in product returns.

Structural equation modelling was used to verify and test the relationships examined.

It was found that dissatisfaction with a product results in an emotional dissonance that is positively related to product returns. Two primary reasons for return were examined, the expectation of the customer not being met and the customer finding a better product or price. Both reasons for return were found to influence the frequency of returns. It is also reported that gender, but not store brand moderated these relationships. Males had higher levels of product dissatisfaction and subsequent emotional dissonance than females. Males however did not have higher rates of return than females.

The research provides new knowledge in the management of retail returns by identifying their underlying causes as well as specific reasons for returns. This knowledge can assist managers in identifying the behavioural influences on product returns and in developing methods to minimize those returns.

The purpose of this paper is to investigate the determinants of IJV performance expectations for a sample of international joint ventures with parent firms from Europe, North America and Australia. A conceptual framework is proposed which identifies the determinants of IJV performance as the dominant control of the IJV by one parent firm, the level of autonomy granted to the IJV management, the level of trust between the partner firms, the effect of differences in the national cultures of IJV partners and the differences in the organizational cultures of IJV partners.

The study adopts a self‐administered questionnaire approach to examine the determinants of performance in the sample firms. The starting point for obtaining a sample of parent firms was the OSIRIS database. Paper copies of the questionnaires were posted to potential respondents. This was followed by an e‐mail to the same potential respondents with the questionnaires attached. In total, 109 usable questionnaires were obtained from respondent companies – 22 questionnaires were returned from the postal survey and 87 questionnaires were returned from the follow‐up e‐mail.

Predicted positive relationships between performance expectations and dominant control of the IJV, autonomy granted to the IJV management, and trust between the partner firms are supported by the data. The predicted negative relationship between performance expectations and national culture differences was not supported, however, the expected negative relationship between performance expectations and corporate culture differences was partially supported.

This study adds to the international business literature on IJVs and provides new empirical evidence in the context of Europe, North America and Australia.

This study applies to German data a model in which the decision to attend higher education depends on the ratio of marginal cost and marginal return expected from higher education. If this ratio is below a certain threshold, the individual will choose to participate in higher education. In a simulation exercise, the impact of selected variables on this threshold, and thus on the participation probability, is quantified. The results suggests the presence of financial constraints binding participation in higher education and that the participation decision responds to some extent to return expectations in terms of labour market outcome and to financial incentives such as student support.

Argues that the quest for quality is international in scope, with many nations adopting the total quality management (TQM) principles as a way of achieving educational reform. Early indicators of TQM’s success are increases in student achievement, student self‐concept and teacher morale. However, quality programmes are not free and the concept of accountability is ever‐present in the minds of stakeholders who demand positive returns on their investments. Without a means to demonstrate successful returns on quality investments, public support and confidence in the schools may drastically decrease and TQM may be perceived as too expensive for public support. For those implementing TQM, the question is: how do I demonstrate the return on quality investments? The answer lies in measurement. This involves assessing customer need and expectations; producing quality outputs which meet or exceed customer satisfaction, and then documenting these returns by directly linking quality education outputs with the inputs of time, money, and effort.

This study aims to document the time varying risk premia for market, size, value and momentum factors for an emerging market using a sophisticated conditional asset pricing model. The focus of this study is Turkish stock market denominated in local currency with its peculiar risk premia.

The authors employ Gagliardini et al.'s (2016) econometric method that uses cross-sectional and time series information simultaneously to infer the path of risk premia from individual stocks.

Using this methodology, the authors assess several conditioning information and conclude that local dividend yield, inflation and exchange rates have the most explanatory power. The authors document the time varying risk premia in Turkey over three decades.

Existing studies on dynamic estimation of risk premia lack a consensus as to which state variables should be included and to what extent they impact the magnitude of the premium. The authors extend the conditioning information set beyond the ones existing in the literature to determine variables that are specifically important for an emerging market.