Abstract:The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy… Show more
“…Existing studies either focus on only constructing a financial stress index (FSI) for a country (i.e. Illing and Liu, 2006) or both on constructing and evaluating the link between financial stress and economic activity to examine how well FSI identifies known periods of financial distress (Cevik et al, 2013;Cardarelli et al, 2011;Chau and Deesomsak, 2014;Mallick and Sousa, 2013). There are also a few studies that consider financial stress transmission among countries (Balakrishnan et al, 2009;Park and Mercado Jr., 2014).…”
Volatility spillover between oil prices and financial stress index is examined. Analysis is conducted for sub-periods: pre-crisis, in-crisis, and post-crisis Oil prices spill on financial stress before the crisis, but spillover reversed after the crisis. Volatility transmission pattern has similar dynamics before and after the crisis. Implications for investors and policy makers are discussed.
Keywords:Oil prices Financial stress index Causality Volatility spillover abstract This paper examines whether there is a volatility transmission between oil prices and financial stress by means of the volatility spillover test. We employ WTI crude oil prices and Cleveland financial stress index for the period 1991-2014 and divide the sample into pre-crisis, in-crisis, and post-crisis periods due to the downward trend in oil price in 2008. The volatility model estimations indicate that oil prices and financial stress index are dominated by longrun volatility. The volatility spillover causality test supports evidence on risk transfer from oil prices to financial stress before the crisis and from financial stress to oil prices after the crisis. The impulse response analysis shows that the volatility transmission pattern has similar dynamics before and after the crisis and is characterized by higher and long-lived effects during the crisis. Our results have implications for both policy makers and investors, and for future work.
“…Existing studies either focus on only constructing a financial stress index (FSI) for a country (i.e. Illing and Liu, 2006) or both on constructing and evaluating the link between financial stress and economic activity to examine how well FSI identifies known periods of financial distress (Cevik et al, 2013;Cardarelli et al, 2011;Chau and Deesomsak, 2014;Mallick and Sousa, 2013). There are also a few studies that consider financial stress transmission among countries (Balakrishnan et al, 2009;Park and Mercado Jr., 2014).…”
Volatility spillover between oil prices and financial stress index is examined. Analysis is conducted for sub-periods: pre-crisis, in-crisis, and post-crisis Oil prices spill on financial stress before the crisis, but spillover reversed after the crisis. Volatility transmission pattern has similar dynamics before and after the crisis. Implications for investors and policy makers are discussed.
Keywords:Oil prices Financial stress index Causality Volatility spillover abstract This paper examines whether there is a volatility transmission between oil prices and financial stress by means of the volatility spillover test. We employ WTI crude oil prices and Cleveland financial stress index for the period 1991-2014 and divide the sample into pre-crisis, in-crisis, and post-crisis periods due to the downward trend in oil price in 2008. The volatility model estimations indicate that oil prices and financial stress index are dominated by longrun volatility. The volatility spillover causality test supports evidence on risk transfer from oil prices to financial stress before the crisis and from financial stress to oil prices after the crisis. The impulse response analysis shows that the volatility transmission pattern has similar dynamics before and after the crisis and is characterized by higher and long-lived effects during the crisis. Our results have implications for both policy makers and investors, and for future work.
“…Daily 10-year sovereign yields in EMU countries and rolling total connectedness. 8 Awartania et al (2013), Lee and Chang (2013), Chau and Deesomsak (2014) and Cronin (2014) apply this methodology to examine spillovers in the United States' markets; Yilmaz (2010), Zhou et al (2012) or Narayan et al (2014) focus on Asian countries; Apostolakisa and Papadopoulos (2014) and Tsai (2014) examine G-7 economies, and Duncan and Kabundi (2013) centre their analysis on South African markets. is a crisis-sensitive variable which can induce ''volatility surprise" (see Engle, 1993), by measuring and analysing the dynamic connectedness in volatility we will be able to examine the ''fear of connectedness" expressed by market participants as they trade.…”
a b s t r a c tWe measure the connectedness in EMU sovereign market volatility between April 1999 and January 2014, monitoring stress transmission and identifing episodes of intensive spillovers from one country to the others. We first perform a static and dynamic analysis to measure the total volatility connectedness in the entire period using a framework recently proposed by Diebold and Yilmaz (2014). Second, we use a dynamic analysis to evaluate the net directional connectedness for each country and apply panel model techniques to investigate its determinants. Finally, we examine the time-varying behaviour of net pair-wise directional connectedness at different stages of the recent sovereign debt crisis.
“…For instance, Papadopoulos (2014, 2015), analyse the G7 economies markets and identify some effects between banking, securities and foreign exchange markets. Chau and Deesomsak (2014) examine the US crisis underlining the negative effects of debt and equity markets. Eichengreen et al (2012) provide evidence that global banking system risks commove and this intensifies during periods of heightening financial turmoil.…”
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte.
Terms of use:
Documents in
Cardiff Economics Working PapersThis working paper is produced for discussion purpose only. These working papers are expected to be published in due course, in revised form, and should not be quoted or cited without the author's written permission. suggests that the peripheral economies of Italy and Spain play a highly significant role in the stress transmission in all markets, especially in the cases of banks and equity markets. Moreover, we visualize our results using network analysis. Contrary to common wisdom, Portugal, Ireland, and mainly Greece, do not seem to have an important role in amplifying stress levels.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.