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Persistent link: https://www.econbiz.de/10003324453
This paper offers a new method for estimation and forecasting of the linear and nonlinear time series when the …
Persistent link: https://www.econbiz.de/10003635965
This paper demonstrates effects of economic convergence processes on the foreign exchange behaviour in a monetary modelling approach. Since the exchange rate represents the relative price of two currencies, commonness of stochastic trends between the fundamental determinants of supply and demand...
Persistent link: https://www.econbiz.de/10003633997
This paper provides theory as well as empirical results for pre-averaging estimators of the daily quadratic variation of asset prices. We derive jump robust inference for pre-averaging estimators, corresponding feasible central limit theorems and an explicit test on serial dependence in...
Persistent link: https://www.econbiz.de/10008663394
liquidity settings, noise-to-signal ratios, and dimensions. An empirical application of forecasting daily covariances of the S …
Persistent link: https://www.econbiz.de/10003893144
extreme value theory. The out-of-sample forecasting performance of our methods turns out to be clearly superior to different …
Persistent link: https://www.econbiz.de/10003952845
A Lévy process is observed at time points of distance delta until time T. We construct an estimator of the Lévy-Khinchine characteristics of the process and derive optimal rates of convergence simultaneously in T and delta. Thereby, we encompass the usual low- and high-frequency assumptions...
Persistent link: https://www.econbiz.de/10009125540
Given n equidistant realisations of a Lévy process (Lt; t = 0), a natural estimator for the distribution function N of the Lévy measure is constructed. Under a polynomial decay restriction on the characteristic function, a Donsker-type theorem is proved, that is, a functional central limit...
Persistent link: https://www.econbiz.de/10009407027
This article studies nonparametric estimation of a regression model for d ≥ 2 potentially non-stationary regressors. It provides the first nonparametric procedure for a wide and important range of practical problems, for which there has been no applicable nonparametric estimation technique...
Persistent link: https://www.econbiz.de/10009379521
This paper considers estimation and inference for varying-coefficient models with nonstationary regressors. We propose a nonparametric estimation method using penalized splines, which achieves the same optimal convergence rate as kernel-based methods, but enjoys computation advantages. Utilizing...
Persistent link: https://www.econbiz.de/10009767261