The paper examines the impact of Russia-Ukraine war news on Indian crude oil spot and futures markets. The event study Methodology is employed to examine the abnormal returns in crude oil spot and futures markets on the Russia-Ukraine War announcement date. For robustness of results, traditional...

In this study, we investigate the dynamic relationship between return and liquidity in the Brent and the West Texas Intermediate (WTI) oil markets. The research utilises daily oil price and volume data and monthly macroeconomic data from January 1, 1996 to April 28, 2023 obtained from the Energy...

This paper develops an empirical cost of carry model with endogenously conditioned convenience yield. The approach is implemented using monthly prices of all futures contracts traded at the New York Mercantile Exchange between 1985 and 2006. Tests indicate that the model fits the data extremely...

A well-documented finding is that explicitly using jumps cannot efficiently enhance the predictability of crude oil price volatility. To address this issue, we find a phenomenon, "momentum of jumps" (MoJ), that the predictive ability of the jump component is persistent when forecasting the oil...

The pricing dynamics of oil-based commodities are frequently influenced by reported events. Our analysis spans almost 900 oil-related events from 1978 to 2022, categorizing them based on recurring characteristics. Employing a novel bootstrap-after-bootstrap testing econometric framework, we...

Reported news events frequently influence the pricing dynamics of oil-based commodities. We analyze almost 900 oil-related events from 1987 to 2022, categorizing them based on recurring characteristics. We quantify dynamic connectedness among energy commodities and apply a novel...

We find excess buying just below round numbers ($X.99) and excess selling just above round numbers ($X.01) using tick data of 152 million West Texas Intermediate crude oil futures transactions from January 1996 to October 2015. The round number effects were stronger in a regime of open outcry...

This study investigates how prices respond to unanticipated crude oil inventory shocks and how quickly the markets incorporate news in crude oil, gasoline, and heating oil futures markets by using structured vector autoregression (SVAR) models based on EIA inventory report announcement and news...

This study investigates how prices respond to unanticipated crude oil inventory shocks and how quickly the markets incorporate news in crude oil, gasoline, and heating oil futures markets by using structured vector autoregression (SVAR) models based on EIA inventory report announcement and news...