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Empirical Economics

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25.09.2023

Nonlinear responses of crude oil prices to the US dollar exchange rates: the role of inventories

verfasst von: Zhepeng Hu, Lei Yan

Erschienen in: Empirical Economics | Ausgabe 4/2024

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Abstract

It has been widely documented that the relationship between crude oil prices and the value of US dollar changes over time (Beckmann et al. in Energy Econ 88:104772, 2020). However, the underlying economic driver for the time-varying relationship is not clear. Based on the competitive storage theory, we provide theoretical evidence that greater inelasticity of market demand for crude oil induced by low inventories is expected to lead to higher responsiveness of crude oil prices to exchange rate changes. We empirically test this hypothesis using the threshold vector autoregressive (TVAR) model and show that crude oil prices respond to shocks to the US dollar exchange rates in an asymmetric manner. Changes in the US dollar exchange rates have greater and more significant influence on crude oil prices in the low-inventory regime than in the high-inventory regime.

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See Beckmann et al. (2020) who provided an excellent review on this issue.

Another popular method for estimating regime-switching impulse responses is using the local projection (LP) approach developed by Jordà (2005). However, we do not consider the LP approach for two reasons. First, although the LP method is widely used due to its computational simplicity, its asymptotic validity in estimating impulse responses in non-linear cases has not been well-established. A recent study by Gonçalves et al. (2022) reveal that when the regime switching variable is endogenous, which is the main focus of this paper, the LP estimator of the impulse response function tends to be asymptotically biased. Second, the TVAR model has the advantage of being able to estimate the threshold variable based on test statistics, whereas the LP approach does not.

The Federal Reserve made several important changes to the foreign exchange rate indices in February 2019. Previously, the AFE dollar index was named the major currencies dollar index.

Both prices were obtained from the EIA and deflated using the U.S. Consumer Price Index.

Recently, Kilian (2022a) advocates to use an alternative global oil inventory series provided by the Energy Intelligence Group (EIG), which includes non-OECD commercial inventories. However, those data are only available to subscribers. As shown in Kilian (2022a), the non-OECD commercial inventory presents a strong trending behavior. In the following section, we create the threshold variable by using detrended crude oil inventories as our interest is to measure the relative abundance and scarcity of global crude oil inventory. Hence, our results are not likely to be sensitive to the missing non-OECD commercial inventories.

Notice that we do not estimate a structural model as we do not focus on estimating the elasticity of demand. Instead, our interest is to show how regime switches in the crude oil inventory level, which shifts the demand elasticity, affect the responsiveness of crude oil prices to exchange rate stocks.

A shock at time t triggers a switching of regime until time t + d.

Data series used for the analysis all cross their means several times but wander for long periods before they revert back to their means which are typical near unit root behaviors (Kilian and Lütkepohl 2017).

Kilian (2009) suggests including 24 lags to capture of global business cycle. Although we selected one lag, our results are robust to using longer lags.

Using a short delay parameter is consistent with TVAR studies that employ low frequency data (Balke 2000; Baum and Koester 2011; Ferraro et al. 2015).

Notice that the GIRFs are also affected by the sign of the shock. We also tried using a one standard deviation negative shock and found the responses are visibly symmetric. For clarity, we only present the responses to a one standard deviation positive shock.

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Titel: Nonlinear responses of crude oil prices to the US dollar exchange rates: the role of inventories
verfasst von: Zhepeng Hu
Lei Yan
Publikationsdatum: 25.09.2023
Verlag: Springer Berlin Heidelberg
Erschienen in: Empirical Economics / Ausgabe 4/2024
Print ISSN: 0377-7332
Elektronische ISSN: 1435-8921
DOI: https://doi.org/10.1007/s00181-023-02502-x

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