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We propose a new method of tail analysis for data featuring a high degree of leptokurtosis. Heavy tails can typically be found in financial series, like for example, the stock returns or durations between arrivals of trades. In our framework, the shape of tails can be assessed by fitting some...
Persistent link: https://www.econbiz.de/10010309874
kernel estimators when the error distribution is not normal. We investigate the finite sample performance of our procedure on …
Persistent link: https://www.econbiz.de/10010310396
We consider the problem of estimating quantile regression coefficients in errors-in-variables models. When the error variables for both the response and the manifest variables have a joint distribution that is spherically symmetric but otherwise unknown, the regression quantile estimates based...
Persistent link: https://www.econbiz.de/10010310794