Results 191 to 200 of about 15,849 (295)

A Conditional Tail Expectation Type Risk Measure for Time Series

Journal of Time Series Analysis, EarlyView.
ABSTRACT We consider the estimation of the conditional expectation 𝔼(Xh|X0>UX(1/p)), provided 𝔼|X0|<∞, at extreme levels, where (Xt)t∈ℤ$$ {\left({X}_t\right)}_{t\in \mathbb{Z}} $$ is a strictly stationary time series, UX$$ {U}_X $$ its tail quantile function, h$$ h $$ is a positive integer and p∈(0,1)$$ p\in \left(0,1\right) $$ is such that p→0$$ p\to ...
Yuri Goegebeur, Armelle Guillou, Jing Qin   +2 more
wiley   +1 more source

Analysis of Drug-Resistant Bacteria Seasonality in Japan Using Financial Time Series Analysis Method: A Nationwide Longitudinal Study. [PDF]

Can J Infect Dis Med Microbiol
Ito H, Oshida J, Fujita M, Kobayashi D.
europepmc   +1 more source

Volatility proxies and GARCH models

, 2009
Marcel P. Visser
openalex   +1 more source

Nonparametric Detection of a Time‐Varying Mean

Journal of Time Series Analysis, EarlyView.
ABSTRACT We propose a nonparametric portmanteau test for detecting changes in the unconditional mean of a univariate time series which may display either long or short memory. Our approach is designed to have power against, among other things, cases where the mean component of the series displays abrupt level shifts, deterministic trending behaviour ...
Fabrizio Iacone, A. M. Robert Taylor
wiley   +1 more source

AI companies' strategies with traditional vs. digital assets amid geopolitical and banking crises. [PDF]

Heliyon
Dammak W, Fakhfekh M, Alnafisah H, Jeribi A.   +3 more
europepmc   +1 more source

Quantile Regression for VaR Estimation in Egyptian Inflation Rate: A Comparative Analysis with EWMA and t-GARCH

Fatma Alshenawy
openalex   +1 more source

GaBoDS: The Garching-Bonn deep survey [PDF]

, 2007
M. Hetterscheidt, P. Šimon, M. Schirmer, H. Hildebrandt, T. Schrabback, T. Erben, Petra Schneider   +6 more
openalex   +1 more source

Empirical‐Process Limit Theory and Filter Approximation Bounds for Score‐Driven Time Series Models

Journal of Time Series Analysis, EarlyView.
ABSTRACT This article examines the filtering and approximation‐theoretic properties of score‐driven time series models. Under specific Lipschitz‐type and tail conditions, new results are derived, leading to maximal and deviation inequalities for the filtering approximation error using empirical process theory.
Enzo D'Innocenzo
wiley   +1 more source

Predicting the volatility of Chinese stock indices based on realized recurrent conditional heteroskedasticity. [PDF]

PLoS One
Zhang G, Zhao H, Fan R.
europepmc   +1 more source

From GARCH to Neural Network for Volatility Forecast

Pengfei Zhao, Haoren Zhu, Wilfred Siu Hung NG, Dik Lun Lee   +3 more
openalex   +2 more sources