The Value of Public Information: Market Microstructure Noise and Price Volatility Spillovers in Agricultural Commodity Markets

Siyu Bian and Teresa Serra

No 285882, 2018 Conference, April 16-17, 2018, Minneapolis, Minnesota from NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management

Abstract: After 2013, major grain-related USDA announcements have been rescheduled to be released at 11:00 am CDT. Such a change granted researchers a great chance to study market volatilities and spillovers react to significant USDA information on real time. Also, with new statistical methods, researchers now can separate efficient volatility from noise volatility. In this paper, we adopt a recently developed method, which is called Markov Chain estimator (MC estimator), to study intraday volatility and volatility spillover between corn and soybean futures during USDA announcement days. Our results suggest that volatilities in both corn and soybean would response to USDA announcements immediately after the news being published. The elevated level of volatilities would not settle down within the first hour after announcements. Also, more persistent spillover occurs at equilibrium level, which is measured by efficient return spillover, than at noise level, which is measured by noise return spillovers.

Keywords: Marketing (search for similar items in EconPapers)
Date: 2018-04
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/285882/files/B ... ia_NCCC-134_2018.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:n13418:285882

DOI: 10.22004/ag.econ.285882

Access Statistics for this paper

More papers in 2018 Conference, April 16-17, 2018, Minneapolis, Minnesota from NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management
Bibliographic data for series maintained by AgEcon Search ().