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The study examines the impact of liquidity risk on freight derivatives returns. The Amihud liquidity ratio and bid-ask spreads are utilized to assess the existence of liquidity risk in the freight derivatives market. Other macroeconomic variables are used to control for market risk. Results...
Persistent link: https://www.econbiz.de/10013018063
This paper documents law of one price violations in equity volatility markets. While tightly linked by no …
Persistent link: https://www.econbiz.de/10012391498
. A state-dependent volatility spillover GARCH hedging strategy is developed to capture the regime switching global equity … volatility spillover effect. Empirical results show that the NFNE futures exhibit superior effectiveness as an instrument for … (Morgan Stanley Capital International) world index futures further improves the hedging effectiveness compared with the …
Persistent link: https://www.econbiz.de/10011883272
Equity index implied volatility functions are known to be excessively skewed in comparison with implied volatility at … index implied volatility from simulating the 30 dimensional return system of all DAX constituents. Option prices are …-dependence coupled with asymmetric correlation response to negative news is essential to explain the index implied volatility skew …
Persistent link: https://www.econbiz.de/10013092464
Persistent link: https://www.econbiz.de/10011951376
forecasting horizons. Therefore, a long memory volatility model compared to a short memory GARCH model does not appear to improve …
Persistent link: https://www.econbiz.de/10012910119
paper investigates the impact of EPU on the crude oil return volatility and which EPU index has the most forecasting power … the crude oil return volatility, but the effect is short-lived and the decay period is about one year. Particularly, our … results show that the US EPU index has the best forecasting power for crude oil return volatility over the long-term, whereas …
Persistent link: https://www.econbiz.de/10012040309
This paper analyses futures prices for four energy commodities (light sweet crude oil, heating oil, gasoline and natural gas) and five agricultural commodities (corn, oats, soybean oil, soybeans and wheat), over the period 1986-2010. Using CCC and DCC multivariate GARCH models, we find that...
Persistent link: https://www.econbiz.de/10010343837
This paper analyses futures prices for four energy commodities (light sweet crude oil, heating oil, gasoline and natural gas) and five agricultural commodities (corn, oats, soybean oil, soybeans and wheat), over the period 1986-2010. Using CCC and DCC multivariate GARCH models, we find that...
Persistent link: https://www.econbiz.de/10009535531
This paper analyses futures prices for four energy commodities (light sweet crude oil, heating oil, gasoline and natural gas) and five agricultural commodities (corn, oats, soybean oil, soybeans and wheat), over the period 1986-2010. Using CCC and DCC multivariate GARCH models, we find that...
Persistent link: https://www.econbiz.de/10013091156