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We survey a representative sample of US households to study how exposure to the COVID-19 stock market crash affects expectations and planned behavior. Wealth shocks are associated with upward adjustments of expectations about retirement age, desired working hours, and household debt, but have only small effects on expected spending. We provide correlational and experimental evidence that beliefs about the duration of the stock market recovery shape households’ expectations about their own wealth and their planned investment decisions and labor market activity. Our findings shed light on the implications of household exposure to stock market crashes for expectation formation.

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We survey retail investors at an online bank to study beliefs about the autocorrelation of aggregate stock returns, and how these beliefs shape investment decisions measured in administrative account data. Individuals' beliefs exhibit substantial heterogeneity and predict trading responses to market movements. We inform a random half of our respondents that historically the autocorrelation of aggregate returns was close to zero, which persistently changes their beliefs. Among those initially believing in mean reversion, treated respondents buy significantly less equity during the COVID-19 crash four months later. Our results highlight how heterogeneity in subjective models causally drives trade in asset markets.

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Incentivized experiments in which individuals receive monetary rewards according to the outcomes of their decisions are regarded as the gold standard for preference elicitation in experimental economics. These task-related real payments are considered necessary to reveal subjects’ “true preferences.” Using a systematic, large-sample approach with three subject pools of private investors, professional investors, and students, we test the effect of task-related monetary incentives on risk preferences in four standard experimental tasks. We find no significant differences in behavior between and within subjects in the incentivized and non-incentivized regimes. We discuss implications for academic research and forions in the field.

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