Due to data limitations and the absence of testable, model-based predictions, theory and evidence on herd behavior are … simulations of a herd model to derive new, theory-based predictions for aggregate herding intensity. Using high …

Due to data limitations and the absence of testable, model-based predictions, theory and evidence on herd behavior are … use numerical simulations of a herd model to derive new, theory-based predictions for aggregate herding intensity. From an … empirical perspective, we employ high-frequency, investor-specific trading data to test the theory-implied impact of information …

Due to data limitations and the absence of testable, model-based predictions, theory and evidence on herd behavior are … simulations of a herd model to derive new, theory-based predictions for aggregate herding intensity. Using high …

Due to data limitations and the absence of testable, model-based predictions, theory and evidence on herd behavior are … use numerical simulations of a herd model to derive new, theory-based predictions for aggregate herding intensity. From an … empirical perspective, we employ high-frequency, investor-specific trading data to test the theory-implied impact of information …

a herd model to derive theory-guided predictions regarding the impact of various aspects of uncertainty on herding …

Due to data limitations and the absence of testable, model-based predictions, theory and evidence on herd behavior are … simulations of a herd model to derive new, theory-based predictions for aggregate herding intensity. Using high …

Due to data limitations and the absence of testable, model-based predictions, theory and evidence on herd behavior are … use numerical simulations of a herd model to derive new, theory-based predictions for aggregate herding intensity. From an … empirical perspective, we employ high-frequency, investor-specific trading data to test the theory-implied impact of information …

herd model to derive theory-guided predictions regarding the impact of various aspects of uncertainty on herding intensity …

Due to data limitations and the absence of testable, model-based predictions, theory and evidence on herd behavior are … use numerical simulations of a herd model to derive new, theory-based predictions for aggregate herding intensity. From an … empirical perspective, we employ high-frequency, investor-specific trading data to test the theory-implied impact of information …