2021
DOI: 10.3390/en14238085
|View full text |Cite
|
Sign up to set email alerts
|

Climate Risks and the Realized Volatility Oil and Gas Prices: Results of an Out-of-Sample Forecasting Experiment

Abstract: We extend the widely-studied Heterogeneous Autoregressive Realized Volatility (HAR-RV) model to examine the out-of-sample forecasting value of climate-risk factors for the realized volatility of movements of the prices of crude oil, heating oil, and natural gas. The climate-risk factors have been constructed in recent literature using techniques of computational linguistics, and consist of daily proxies of physical (natural disasters and global warming) and transition (U.S. climate policy and international sum… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
5
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 20 publications
(5 citation statements)
references
References 54 publications
(66 reference statements)
0
5
0
Order By: Relevance
“…In fact, in earlier studies on climate risks and stock markets, researchers primarily have concentrated on developed countries and on in-sample movements of the first moment [13,15,27,29,30], with the only exception being [14], who have analyzed stock market volatility of the state-level data in the United States (US). When it comes to volatility, the literature thus far has concentrated on predicting second moments of commodity returns due to climate risks (for example, [58][59][60][61][62][63]). Another somewhat related paper is that of [64], who have forecasted indicators of financial stress, comprised of both first and second moments of the underlying assets, of developed countries.…”
Section: Brief Discussion Of Stock Return Volatility Literature Of So...mentioning
confidence: 99%
“…In fact, in earlier studies on climate risks and stock markets, researchers primarily have concentrated on developed countries and on in-sample movements of the first moment [13,15,27,29,30], with the only exception being [14], who have analyzed stock market volatility of the state-level data in the United States (US). When it comes to volatility, the literature thus far has concentrated on predicting second moments of commodity returns due to climate risks (for example, [58][59][60][61][62][63]). Another somewhat related paper is that of [64], who have forecasted indicators of financial stress, comprised of both first and second moments of the underlying assets, of developed countries.…”
Section: Brief Discussion Of Stock Return Volatility Literature Of So...mentioning
confidence: 99%
“…Recent studies by Bouri et al. ( 2021 ) and Gupta and Pierdzioch ( 2021b ) highlight the role of global and climate risks of the overall U.S. in predicting oil price return volatility. Given the results documented by these researchers, as part of future research, it would be interesting to compare the relative importance of state-level climate risks with that of the aggregate U.S. in predicting the variability of movements of the price of crude oil, natural gas, and heating oil, because climate risks have been shown to drive state-level economic conditions in the U.S. (Sheng et al.…”
Section: Discussionmentioning
confidence: 99%
“…More importantly, the oil market tends to experience volatility through a variety of routes; however, the climate change channel and the extent to which it matters in the volatility dynamics of oil market is only an emerging debate that has received little or no significant attention in the literature. To the best of our knowledge, Gupta and Pierdzioch (2022) as well as Salisu et al (2022) are the few notable studies that examine the connection between climate change and volatility in the crude oil market. However, while both studies concern themselves with the forecasting/predictive value of climate-risk for oil market volatility, germane to this study is whether climate risk amplifies oil market volatility.…”
Section: Introductionmentioning
confidence: 99%