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noise model with correlation and volatility processes being constant over small intervals. The asymptotic equivalence of the …
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A common approach to dealing with missing data is to estimate the model on the common subset of data, by necessity throwing away potentially useful data. We derive a new probit type estimator for models with missing covariate data where the dependent variable is binary. For the benchmark case of...
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institutions. By means of a simulation study, we explore the hypothesis that differences in the correlation estimates are due to a … substantial downward bias characteristic of estimates based on default rates. Our results suggest that correlation estimates from … to explain the differences in correlation estimates. Furthermore, our results help to quantify the estimation error of …
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