Showing 1 - 10 of 18
Persistent link: https://www.econbiz.de/10010772971
We consider the estimation of integrated covariance (ICV) matrices of high dimensional diffusion processes based on high frequency observations. We start by studying the most commonly used estimator, the realized covariance (RCV) matrix. We show that in the high dimensional case when the...
Persistent link: https://www.econbiz.de/10008577609
In this article we consider the volatility inference in the presence of both market microstructure noise and endogenous time. Estimators of the integrated volatility in such a setting are proposed, and their asymptotic properties are studied. Our proposed estimator is compared with the existing...
Persistent link: https://www.econbiz.de/10010632910
In this article we consider the volatility inference in the presence of both market microstructure noise and endogenous time. Estimators of the integrated volatility in such a setting are proposed, and their asymptotic properties are studied. Our proposed estimator is compared with the existing...
Persistent link: https://www.econbiz.de/10010666234
Considerable intellectual progress has been made to the development of various semiparametric varying-coefficient models over the past ten to fifteen years. An important advantage of these models is that they avoid much of the curse of dimensionality problem as the nonparametric functions are...
Persistent link: https://www.econbiz.de/10011264465
This article develops a nonparametric varying-coefficient approach for modeling the expectile-based value at risk (EVaR). EVaR has an advantage over the conventional quantile-based VaR (QVaR) of being more sensitive to the magnitude of extreme losses. EVaR can also be used for calculating QVaR...
Persistent link: https://www.econbiz.de/10010953512
In this paper we develop wavelet methods for detecting and estimating jumps and cusps in the mean function of a non-parametric regression model. An important characteristic of the model considered here is that it allows for conditional heteroscedastic variance, a feature frequently encountered...
Persistent link: https://www.econbiz.de/10008866500
A subcritical branching process in random environment (BPRE) is considered whose associated random walk does not satisfy the Cramer condition. The asymptotics for the survival probability of the process is investigated, and a Yaglom type conditional limit theorem is proved for the number of...
Persistent link: https://www.econbiz.de/10010875054
We study critical branching random walks (BRWs) U(n) on  where the displacement of an offspring from its parent has drift  towards the origin and reflection at the origin. We prove that for any [alpha]1, conditional on survival to generation [n[alpha]], the maximal displacement is ....
Persistent link: https://www.econbiz.de/10008873035
This paper proposes one new stochastic approximation algorithm for solving simulation-based optimization problems. It employs a weighted combination of two independent current noisy gradient measurements as the iterative direction. It can be regarded as a stochastic approximation algorithm with...
Persistent link: https://www.econbiz.de/10010888464