Quantile Prediction
Ivana Komunjer, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA, E-mail: komunjer@ucsd.edu
Abstract
This chapter is concerned with the problem of quantile prediction (or forecasting). There are numerous applications in economics and finance where quantiles are of interest. We primarily focus on methods that are relevant for dynamic time series data. The chapter is organized around two key questions: first, how to measure and forecast the conditional quantiles of some series of interest given the information currently available and second, how to assess the accuracy of alternative conditional quantile predictors.
Keywords
Conditional quantiles; Quantile regression; Nonparametric ...
Get Handbook of Economic Forecasting now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.