Modeling demand and price data using nonparametric methods and extreme value theory provides an up-to-date picture on how extreme events can be modeled. In this book, kernel smoothing based conditional quantile approach, a nonparametric procedure is used to model volatile demand data. Nevertheless, quantile regression procedures work well in non extreme parts of a given data but poorly on extreme levels. This book applies the threshold model of extreme value in order to circumvent the lack of observation problem at the tail of the distribution. Various kernel estimation methods and extreme...
Modeling demand and price data using nonparametric methods and extreme value theory provides an up-to-date picture on how extreme events can be modele...