Showing 1 - 10 of 14
This study investigates the effects of oil price shocks on volatility of selected agricultural and metal commodities … functions, the response of volatility of each commodity to an oil price shock differs significantly depending on the underlying …
Persistent link: https://www.econbiz.de/10011438674
In this paper, decisions regarding production in oil exporting countries are studied by means of theoretical analysis and empirical investigation. Under the assumptions of exogenous oil prices and world oil demand, we are able to describe the relationship between oil production levels and...
Persistent link: https://www.econbiz.de/10009231652
Call centers' managers are interested in obtaining accurate forecasts of call arrivals because these are a key input in staffing and scheduling decisions. Therefore their ability to achieve an optimal balance between service quality and operating costs ultimately hinges on forecast accuracy. We...
Persistent link: https://www.econbiz.de/10011599302
We present a weekly structural Vector Autoregressive (VAR) model of the US crude oil market. Exploiting weekly data we can explain short-run crude oil price dynamics, including those related with the COVID-19 pandemic and with the Russia's invasion of Ukraine. The model is set identified with a...
Persistent link: https://www.econbiz.de/10013254444
This paper evaluates how different types of speculation affect the volatility of commodities' futures prices. We adopt …-2010 analyzed at weekly frequency. Using GARCH models we find that speculation significantly affects volatility of returns: short … term speculation has a positive and significant impact on volatility, while long term speculation generally has a negative …
Persistent link: https://www.econbiz.de/10009756298
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
The identification of the forces that drive stock returns and the dynamics of their associated volatilities is a major concern in empirical economics and finance. This analysis is particularly relevant for determining optimal hedging strategies based on whether shocks to the volatilities of...
Persistent link: https://www.econbiz.de/10011603089
We estimate dynamic conditional correlations between 10 commodities futures returns in energy, metals and agriculture markets over the period 1998-2014 with a DCC-GARCH model. We look at the factors influencing those correlations, adopting a pooled mean group (PMG) estimator. Macroeconomic...
Persistent link: https://www.econbiz.de/10011451631
volatility transmission from Brent Oil, UK Natural Gas, Rotterdam Coal, Gold, Silver, Copper, and EuroStoxx600 future prices to … models, and Time-Varying parameter Vector Auto Regressive models with Stochastic Volatility with the use of a comprehensive … markets significantly influencing volatility in EUA prices. The time-varying spillover effect is most pronounced with a one …
Persistent link: https://www.econbiz.de/10014634608
This study investigates the price volatility of metals, using the GARCH and GJR models. First we examine the … persistence of volatility and the leverage effect across metal markets taking into account the presence of outliers, and second we … estimate the effects of oil price shocks on the price volatility of metals, allowing for the asymmetric responses. We use daily …
Persistent link: https://www.econbiz.de/10011327443