CAUSALITY AND PRICE DISCOVERY: AN APPLICATION OF DIRECTED ACYCLIC GRAPHS

dc.creatorHaigh, Michael S.
dc.creatorBessler, David A.
dc.date2017-04-01T19:52:38Z
dc.date.accessioned2026-07-09T03:26:24Z
dc.descriptionDirected Acyclic Graphs (DAG's) and Error Correction Models (ECM's) are employed to analyze questions of price discovery between spatially separated commodity markets and the transportation market linking them together. Results from our analysis suggest that these markets are highly interconnected but that it is the inland commodity market that is strongly influenced by both the transportation and commodity export markets in contemporaneous time. However, the commodity markets affect the volatility of the transportation market over longer horizons. Our results suggest that transportation rates are critical in the price discovery process lending support for the recent development of exchange traded barge rate futures contracts.
dc.identifierdoi:10.22004/ag.econ.19057
dc.identifierhttps://ageconsearch.umn.edu/record/19057/files/cp02ha01.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/19057
dc.identifier.urihttp://hdl.handle.net/123456789/532587
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/19057
dc.titleCAUSALITY AND PRICE DISCOVERY: AN APPLICATION OF DIRECTED ACYCLIC GRAPHS
dc.typeText

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