Results 91 to 100 of about 6,675 (205)
, 2014 We employ a wavelet approach and conduct a time-frequency analysis of dynamic correlations between pairs of key traded assets (gold, oil, and stocks) covering the period from 1987 to 2012. The analysis is performed on both intra-day and daily data.
Barunik, Jozef +2 more
core
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2015 The article points out the possibilities of using static D-Vine copula ARMA-GARCH model for estimation of 1 day ahead market Value at Risk. For the illustration we use data of the four companies listed on Prague Stock Exchange in range from 2010 to 2014.
Václav Klepáč, David Hampel
doaj +1 more source
Contagion effect of cryptocurrency on the securities market: a study of Bitcoin volatility using diagonal BEKK and DCC GARCH models. [PDF]
SN Bus Econ, 2022 Sajeev KC, Afjal M.
europepmc +1 more source
Volume and volatility adjusted l-var with dcc-garch modeling
, 2020 Sabit spread, endojen ve eksojen spread teknikleri; Riske Maruz Likidite Değeri'ni (L-VaR) elde etmek için kullanılan bid-ask spread ile birlikte piyasa risk sonuçlarını belirler. Ancak likitide riskin bu geleneksel yöntemleri 2008 krizinden sonra L-VaR tahmin eksikliklerinden dolayı eleştirilmiştir.
openaire +2 more sources
Impact of the COVID-19 pandemic on return and risk transmission between oil and precious metals: Evidence from DCC-GARCH model. [PDF]
Resour Policy, 2022 Yıldırım DÇ, Esen Ö, Ertuğrul HM.
europepmc +1 more source
Stock Market Integration: DCC MV-GARCH Model [PDF]
Politická ekonomie, 2010 Eduard Baumöhl +2 more
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DCC-Garch Models Using Islamic Market and European Market Indices
Islamic Banking and Finance Review, 2017 The last financial crisis (2007-2008) raises the question of how European stock shocks are distributed and transmitted from developed stock markets to Islamic stock markets. More precisely, the problem related to Islamic finance or any other alternative finance is, whether the shocks to the volatilities in the asset returns constitute substitute or ...
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Financialisation of the Commodity Markets. Conclusions from the VARX DCC GARCH [PDF]
SSRN Electronic Journal, 2015 The global economy is highly dependent on commodity prices, which are, by and large, the outcome of market-specific supply and demand fundamentals. As a result, driven by different determinants, financial assets and commodity prices should be negligibly correlated.
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COVID-19 Shock and the Time-Varying Volatility Spillovers Among the Energy and Precious Metals Markets: Evidence From A DCC-GARCH-CONNECTEDNESS Approach. [PDF]
Front Public Health, 2022 Tan X +5 more
europepmc +1 more source
Borsa Istanbul Review, 2019 We study the volatility connectedness of stock market prices over various time horizons. We adopt a novel combination of copula and the asymmetric GARCH function (EGARCH) to fit this type of joint distribution consisting of the marginal distribution and ...
Huthaifa Alqaralleh +2 more
doaj +1 more source