Oil price shocks and the term structure of the US yield curve: a time-frequency analysis of spillovers and risk transmission.

This paper investigates the influence of oil demand, oil supply, and risk-driven shocks on the yield curve in the US between 1995 and 2020. The US term-structure shape is modeled by three structural factors, the level, slope, and curvature. Their empirical analysis is performed according to the Diebold-Li modified variant of the widely used Nelson-Siegel model. The technique of wavelet analysis allows investigating the interrelation of shocks in oil prices and the US yield curve along time and frequency domains, simultaneously. We report on low, medium, and high coherence zones, relative to the oil price movements and the changes in the three yield-curve factors. The low coherence intervals indicate the potential for the three latent factors to be used for creating diversification strategies capable of hedging adverse dynamics in the oil market, potentially workable through global crises. We document the variability of dynamic patterns observable for the US sovereign yield factors on per-type-of-shock basis, evidencing the potential role of the US sovereign debt investments for designing cross-asset hedge strategies for commodity and fixed-income markets.

Does the source of oil price shocks matter for the systemic risk?

This paper investigates the impact of different oil price shocks on systemic risk under different market conditions. We show that the negative impact of negative oil price shocks on systemic risk is greater than the positive impact of positive oil price shocks. Systemic risk is always negatively affected by oil-specific demand shocks but positively affected by oil supply shocks when the market is under medium and low systemic risk levels. By testing the effect of crises, we find that the influence of positive and negative oil price shocks on systemic risk was declined due to the COVID-19 pandemic. © 2022 Elsevier B.V.