---
title: Airline Stocks and Oil Price Volatility
url: https://www.ml-quant.com/papers/ssrn/4833663/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4833663
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4833663
featured: 2024-05-22
citations: unknown
topic: Derivatives & Volatility
---


# Airline Stocks and Oil Price Volatility

The study finds a negative correlation between oil price volatility and international airline stock prices, recommending diversification and technology implementation to reduce fossil fuel reliance.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4833663
- Identifier: SSRN 4833663
- Released: 2024-04-04
- First featured: Quant Letter No. 50 (2024-05-22): https://www.ml-quant.com/issues/2024-05-22/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Derivatives & Volatility

## Related

- [Predicting the volatility of major energy commodity prices: The dynamic persistence model](https://www.ml-quant.com/papers/arxiv/2402.01354/): The article proposes a new method for forecasting oil-based volatility that models varying persistence shocks together, improving predictions and surpassing standard models.
- [Asian Option Pricing](https://www.ml-quant.com/papers/ssrn/4838123/): The article proposes a model incorporating mean reversion, stochastic volatility, convenience yield, and jump clustering features of commodity markets, offering a method to price geometric and arithmetic Asian options.
- [Trading Activity of Commodity Futures and Options Around USDA Announcements](https://www.ml-quant.com/papers/ssrn/4841490/): The article investigates the impact of USDA announcements on commodity options, noting significant trading volume changes around the release of monthly agricultural reports and evidence of informed trading.
- [Ensemble Boosting Trees for Volatility Forecasting](https://www.ml-quant.com/papers/repec/eee-reveco-v-92-y-2024-i-c-p-1595-1615/): The study finds ensemble boosting tree models, particularly CatBoost and LightGBM, more effective than traditional models in predicting China's crude oil futures volatility, with macroeconomic and HAR-type variables impacting forecasts differently.
- [Gold Hedging](https://www.ml-quant.com/papers/ssrn/4815577/): Gold is a valuable asset for hedging, with its prices predicting stock returns positively, contradicting common academic views, once the bias from expected dividend growth rate is considered.
- [Financialisation on Commodity Markets](https://www.ml-quant.com/papers/ssrn/4855902/): Financialisation has increased the volatility transmission from equity markets to commodity futures markets, according to a study.
