Showing 1 - 10 of 232
This paper offers a new method for estimation and forecasting of the linear and nonlinear time series when the stationarity assumption is violated. Our general local parametric approach particularly applies to general varying-coefficient parametric models, such as AR or GARCH, whose coefficients...
Persistent link: https://www.econbiz.de/10003635965
Independent component analysis (ICA) is a modern factor analysis tool developed in the last two decades. Given p-dimensional data, we search for that linear combination of data which creates (almost) independent components. Here copulae are used to model the p-dimensional data and then...
Persistent link: https://www.econbiz.de/10003635977
Measuring and modeling financial volatility is the key to derivative pricing, asset allocation and risk management … of volatility. Moreover, non-parametric measures af systematic risk are attainable, that can straightforwardly be used to …
Persistent link: https://www.econbiz.de/10003727640
In semiparametric models it is a common approach to under-smooth the nonparametric functions in order that estimators of the finite dimensional parameters can achieve root-n consistency. The requirement of under-smoothing may result as we show from inefficient estimation methods or technical...
Persistent link: https://www.econbiz.de/10003835181
model provide better results than those based on the normal distribution. -- copula ; multivariate distribution ; value-at-risk …Normal distribution of the residuals is the traditional assumption in the classical multivariate time series models … and dynamic Value-at-Risk of portfolio returns and Profit-and-Loss function. In our findings copula based multivariate …
Persistent link: https://www.econbiz.de/10003850706
Generalized single-index models are natural extensions of linear models and circumvent the so-called curse of dimensionality. They are becoming increasingly popular in many scientific fields including biostatistics, medicine, economics and financial econometrics. Estimating and testing the model...
Persistent link: https://www.econbiz.de/10003893146
State price density (SPD) contains important information concerning market expectations. In existing literature, a constrained estimator of the SPD is found by nonlinear least squares in a suitable Sobolev space. We improve the behavior of this estimator by implementing a covariance structure...
Persistent link: https://www.econbiz.de/10003376011
Let a high-dimensional random vector ⃗X can be represented as a sum of two components - a signal ⃗S , which belongs to some low-dimensional subspace S, and a noise component ⃗N . This paper presents a new approach for estimating the subspace S based on the ideas of the Non-Gaussian...
Persistent link: https://www.econbiz.de/10008663366
subspace ; classification problem ; Value at Risk …
Persistent link: https://www.econbiz.de/10003973622
-series. Available models suffer from the curse of dimensionality or restrictive assumptions on the parameters and the distribution. A …. Interestingly in our exchange rate example both structure and parameters vary dynamically. -- copula ; multivariate distribution …
Persistent link: https://www.econbiz.de/10003953027