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8 712 (0,089s)

Result

Modeling multivariate volatility using wavelet-based realized covariance estimator

Our work brings complete theory for the realized covariation estimation generalizing current knowledge and bringing the estimation to the time-frequency domain for the first time....

AH - Ekonomie

  • 2011
  • D
Result

Covariance matrix forecasting using support vector regression

Main topics of the document: support vector regression; machine learning; multivariate volatility models; high and low prices; range-based models; covariance forecasting......

Finance

  • 2021
  • Jimp
  • Link
Result

On the Modelling and Forecasting of Multivariate Realized Volatility: Generalized Heterogeneous Autoregressive (GHAR) Model

Recent multivariate extensions of the popular heterogeneous autoregressive model (HAR) for realized volatility leave substantial information unmodelled when realized covariance, subsampled realized covariance and multivariate

Economic Theory

  • 2017
  • Jimp
  • Link
Result

Modeling and forecasting dynamic conditional correlations with opening, high, low, and closing prices

Main topics of the document: volatility models; multivariate GARCH; dynamic conditional correlation; covariance forecasting; high-low range; value-at-risk......

Finance

  • 2023
  • Jimp
  • Link
Result

Modeling multivariate volatility using wavelet-based realized covariance estimator

realized volatility framework by bringing the robustness to noise as well jumps...

AH - Ekonomie

  • 2011
  • D
Result

The Effects of Short Selling on Financial Markets Volatilities

The paper investigates the relationship between short selling activities of stocks on the volatility of the US market and its sectors. We apply the multivariate the market volatility and higher short selling activities redu...

Finance

  • 2019
  • JSC
  • Link
Result

Empirical Modeling the Dynamic Conditional Correlations between Shanghai and Hong Kong Stock Markets

models have limited applications only. However, multivariate conditional volatilityModelling the volatility of financial time series is essential part of practically oriented financial analysis. Volatility can be ...

Finance

  • 2016
  • D
Result

Time Series in Economics and Finance

The monograph presents the principles and methods for the analysis and prediction of economic and financial time series. It covers decomposition methods, autocorrelation methods for univariate time series, volatility and duration modeling fo...

Statistics and probability

  • 2020
  • B
  • Link
Result

A combined framework to explore cryptocurrency volatility and dependence using multivariate GARCH and Copula modeling

During the last years, cryptocurrencies have been increasingly becoming a relevant subject of academic researchers and investors. This paper adopts a novel framework that combines a multivariate Generalized AutoRegressive Conditional the cry...

Finance

  • 2024
  • Jimp
  • Link
Result

Volatile Compounds as a Tool for Wine Authentification: Case Study of PIWI Varieties Hibernal, Johanniter and Solaris

This work deals with the possibility of authentication of PIWI varieties wines on the basis of volatile profile analysis. The determination of volatiles was performed by HS-SPME-GC-MS. The repeatability and linear range of selected ...

Food and beverages

  • 2022
  • O
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