---
title: Trading Activity of Commodity Futures and Options Around USDA Announcements
url: https://www.ml-quant.com/papers/ssrn/4841490/
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 4841490
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4841490
featured: 2024-05-28
citations: 0
topic: Derivatives & Volatility
---


# Trading Activity of Commodity Futures and Options Around USDA Announcements

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.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4841490
- Identifier: SSRN 4841490
- Released: 2024-01-15
- First featured: Quant Letter No. 51 (2024-05-28): https://www.ml-quant.com/issues/2024-05-28/
- Citations (Semantic Scholar): 0
- 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.
- [Airline Stocks and Oil Price Volatility](https://www.ml-quant.com/papers/ssrn/4833663/): 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.
- [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.
- [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.
- [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.
