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This study examines the contemporaneous return transmission mechanism across the G20 stock market returns employing a novel R-Square (R2) connectedness framework combining the network approach of Kenett et al. (2010, 2015) and the connectedness approach of Diebold and Yilmaz (2012, 2014). The...
Persistent link: https://www.econbiz.de/10014254602
The present study aims to configure the extreme quantile dependence between oil shocks and BRIC markets from January 2, 1995 to July 27, 2021. Using the cross-quantilogram technique, the current study first decomposed oil shocks pertaining to demand and supply and analyzed their asymmetric...
Persistent link: https://www.econbiz.de/10013321720
The current study examines the risk transmission between green markets and commodities spanning 3 January 2011 to 20 June 2021. We use two novel methodologies of volatility transmission using dynamic conditional correlation (DCC-GARCH) and the other time-varying parameters vector autoregression...
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Green bonds and financial markets underline severe extreme dependence due to uncertain economic and financial circumstances. Time-varying optimal copula (TVOC) is a unique methodology that provides useful copula information under different time series, underscoring several regimes following...
Persistent link: https://www.econbiz.de/10014256910
The fundamental precept of “sin” stocks relates to higher return premiums, whereas ethical investments are pitched towards meeting environmental, social, and moral concerns of investors. Fostering this argument, the current study examines quantile coherencies among sin stocks, ethical...
Persistent link: https://www.econbiz.de/10014085566
The high volatility of the blockchain markets has driven the attention of investors and market participants to concentrate on the diversification avenues of NFTs, DeFis, and Cryptos. We examined the extreme risk transmission of block-chain markets using the quantile connectedness technique at...
Persistent link: https://www.econbiz.de/10014351709
Did Covid19 indiced market turmoil impact the intraday volatility spillovers between energy and other ETFs?. To examine this , we first estimate the realized volatility of ETFs using the 5-minute high-frequency data. Next, we employ time-varying parameter vector autoregressions (TVP-VAR)....
Persistent link: https://www.econbiz.de/10014081207