Showing 1 - 10 of 17
Motivated by prediction problems for time series with heavy-tailed marginal distributions, we consider methods based on `local least absolute deviations' for estimating a regression median from dependent data. Unlike more conventional `local median' methods, which are in effect based on locally...
Persistent link: https://www.econbiz.de/10011126408
Using regular variation to define heavy tailed distributions, we show that prominent downside risk measures produce similar and consistent ranking of heavy tailed risk. Thus regardless of the particular risk measure being used, assets will be ranked in a similar and consistent manner for heavy...
Persistent link: https://www.econbiz.de/10011071274
This paper explores the potential for violations of VaR subadditivity both theoretically and by simulations, and finds that for most practical applications VaR is subadditive. Hence, there is no reason to choose a more complicated risk measure than VaR, solely for reasons of coherence.
Persistent link: https://www.econbiz.de/10011071486
Carlo simulations, these tests, and bootstrap tests, generally significantly outperform χ2-based tests. …
Persistent link: https://www.econbiz.de/10011125890
selecting the two bandwidths for either estimator. We also develop a new bootstrap test for the symmetry of conditional density …
Persistent link: https://www.econbiz.de/10011125947
time–series of which we are interested in obtaining a biologically meaningful grouping. Here, we propose a bootstrap … that for finite sample size, bootstrap provides a better approximation than classical asymptotic theory.We then apply the …
Persistent link: https://www.econbiz.de/10011125950
asymptotic distribution that is free of nuisance parameters. Secondly, we propose a bootstrap analogue of the transformation and …
Persistent link: https://www.econbiz.de/10011126051
This paper studies robustness of bootstrap inference methods for instrumental variable (IV)regression models. We …) estimator introduced by Cížek (2008, 2009),and compare the pairs and implied probability bootstrap approximations for these … statistics byapplying the finite sample breakdown point theory. In particular, we study limiting behaviors ofthe bootstrap …
Persistent link: https://www.econbiz.de/10011126113
We develop a general methodology for tilting time series data. Attention is focused on a large class of regression problems, where errors are expressed through autoregressive processes. The class has a range of important applications and in the context of our work may be used to illustrate the...
Persistent link: https://www.econbiz.de/10011126303
be attained. We thus develop tests with more accurate size properties, by means of Edgeworth expansions and the bootstrap …
Persistent link: https://www.econbiz.de/10011126356