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We develop a general framework for measuring biases in expectation formation. The method is based on the insight that biases can be inferred from the response of forecast errors to past news. Empirically, biases are measured by flexibly estimating the impulse response function of forecast...
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by directly applying economic theory or by examining simple parametric models to identify the coarse features of the … example, the curse of dimensionality can be circumvented, the estimation accuracy on boundaries can be improved, or the bias …
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Finding a precise variance-covariance matrix is the building block of empirical finance. While microstructure-noise-robust methods for realized volatility are in the mainstream of financial econometrics, little if any attention has been devoted to estimating a noise-free realized covariance for...
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) individuals can learn the firm fundamentals through information acquisition, which effectively alleviates their categorized bias … role of information acquisition in alleviating behavioral bias and improving decision-making …
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