Showing 1 - 10 of 55
This study examines the effect of financial factors on the sugar market by using Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models. The results show that changes in capital and energy markets returns have a positive impact on the mean returns of Sugar futures as opposed to...
Persistent link: https://www.econbiz.de/10010289414
volatility of corn, soybean, wheat, rice, US dollar, crude oil, and SP500 futures spanning the period January 4, 2000 to April 1 …; most of the volatility spillovers are observed within the two groups of markets: food markets and 'non-food' markets; corn …
Persistent link: https://www.econbiz.de/10011984455
This paper investigates linkages among equity market returns and volatility spillovers in the following countries: Germany, United Kingdom, China, Russia, and Turkey. MARMA, GARCH, GARCH-in-mean, and exponential GARCH (EGARCH) methodologies are applied to daily data on country exchange-traded...
Persistent link: https://www.econbiz.de/10011988707
Purpose The purpose of this paper is to examine the conditional correlations and spillovers of volatilities across CEE markets, namely, Hungary, Poland, the Czech Republic, Romania and Croatia, in the post-2007 financial crisis period. Design/methodology/approach The authors use five-dimensional...
Persistent link: https://www.econbiz.de/10013193224
This study investigates the impact of commodity price volatility spillovers on financial sector stability. Specifically, the study investigates the spillover effects between oil and food price volatility and the volatility of a key macroeconomic indicator of importance to financial stability:...
Persistent link: https://www.econbiz.de/10013199514
There is a large and growing literature on spillovers but no study that systematically evaluates the importance of spillovers for portfolio management. This paper provides such an analysis and demonstrates that spillovers are fully embedded in estimates of expected returns, variances, and...
Persistent link: https://www.econbiz.de/10013201029
The cryptocurrency market has experienced stunning growth, with market value exceeding USD 1.5 trillion. We use a DCC-MGARCH model to examine the return and volatility spillovers across three distinct classes of cryptocurrencies: coins, tokens, and stablecoins. Our results demonstrate that...
Persistent link: https://www.econbiz.de/10013201177
corn markets using a vector error correction generalized autoregressive conditional heteroscedastic model with a … U.S. producer prices for these crops. Finally, the empirical results suggest that international wheat and corn prices …
Persistent link: https://www.econbiz.de/10012611311
We attempted to comprehensively decode the connectedness among the abbreviation of five emerging market countries (BRICS) stock markets between 1 August 2002 and 31 December 2019 not only in time domain but also in frequency domain. A continuously varying spillover index based on forecasting...
Persistent link: https://www.econbiz.de/10012611669
In this article, we examine the dynamic currency linkages for BRIS (Brazil, Russia, India and South Africa) and 15 other emerging market economies (EMEs) using weekly data from 2001 to 2018. Using the asymmetric dynamic conditional correlation (ADCC)-EGRARCH framework, we find that the average...
Persistent link: https://www.econbiz.de/10014001605