Modeling Crop prices through a Burr distribution and Analysis of Correlation between Crop Prices and Yields using a Copula method. HA Tejeda, BK Goodwin | 47 | 2008 |
Revisiting the determinants of futures contracts success: the role of market participants A Bekkerman, HA Tejeda Agricultural economics 48 (2), 175-185, 2017 | 31 | 2017 |
Price volatility, nonlinearity, and asymmetric adjustments in corn, soybean, and cattle markets: Implications of ethanol-driven (market) shocks HA Tejeda, BK Goodwin | 26 | 2009 |
Price and volatility transmissions among natural gas, fertilizer, and corn markets: A revisit Z Yang, X Du, L Lu, H Tejeda Journal of Risk and Financial Management 15 (2), 91, 2022 | 18 | 2022 |
Dynamic multiproduct optimal hedging in the soybean complex–do time-varying correlations provide hedging improvements? HA Tejeda, BK Goodwin Applied Economics 46 (27), 3312-3322, 2014 | 14 | 2014 |
Time-Varying Price Interactions and Risk Management in Livestock Feed Markets–Determining the Ethanol Surge Effect. HA Tejeda | 13 | 2012 |
Dynamic price relationships in the grain and cattle markets, pre and post-ethanol mandate HA Tejeda, BK Goodwin | 13 | 2011 |
Benefits of an Animal Traceability System for a Foot-and-Mouth Disease Outbreak: A Supply-driven Social Accounting Matrix Approach MK Kim, CM Ukkestad, HA Tejeda, DV Bailey Journal of Agricultural and Applied Economics 49 (3), 438-466, 2017 | 9 | 2017 |
A tournament approach to price discovery in the US cattle market J Wright, MK Kim, HA Tejeda, HN Kim Journal of Agricultural and Applied Economics 53 (1), 21-36, 2021 | 8 | 2021 |
Determining the Effectiveness of Optimal Time-Varying Hedge Ratios for Cattle Feeders under Multiproduct and Single Commodity Settings. H Tejeda, D Feuz Agricultural Finance Review 74 (2), 217 - 235, 2014 | 8 | 2014 |
Revisiting the determinants of futures contracts: The curious case of distillers' dried grains A Bekkerman, H Tejeda Available at SSRN 2274912, 2013 | 7 | 2013 |
Dynamic Price Relationships and Price Discovery among Cheese Markets HA Tejeda, MK Kim International Food and Agribusiness Management Review, 2020 | 6 | 2020 |
Investigating factors affecting adoption of automated milking systems (ams) in Idaho HA Tejeda, M Chahine, X Du, L Lu, A Westerhold Western Economics Forum 18 (2), 24-39, 2020 | 5 | 2020 |
US milled rice markets and integration across regions and types MK Kim, H Tejeda, TE Yu International Food and Agribusiness Management Review 20 (5), 623-636, 2017 | 5 | 2017 |
Identifying volatility spillover effects from ethanol on corn, soybean and cattle markets through a state dependent regime switching model of dynamic correlation BK Goodwin, D Pelletier, HA Tejeda Working Paper, Department of Agricultural and Resource Economics, North …, 2011 | 5 | 2011 |
A state dependent regime switching model of dynamic correlations HA Tejeda, BK Goodwin, D Pelletier | 5 | 2009 |
Change in hay-to-milk price responsiveness with dairy industry expansion PL Hatzenbuehler, H Tejeda, S Hines, J Packham Journal of Agricultural and Applied Economics 53 (2), 246-258, 2021 | 4 | 2021 |
Reducing GHG emissions and energy input in the US supply chain of ethanol and gasoline S Fatal, S Kotsiri, HA Tejeda, C Zhan | 4 | 2012 |
Implicit cost of the 2010 foot-and-mouth disease in Korea MK Kim, H Tejeda Studies in Agricultural Economics 120 (3), 166-173, 2018 | 3 | 2018 |
Disentangling Supply and Demand Shocks to Identify Changes in the Live Cattle’s Market Structure Post Livestock Mandatory Price Reporting Act VF Pozo, V Bejan, H Tejeda | 3 | 2016 |