The Nonparametric Relationship between Oil and South African Agricultural Prices
Author
Abstract
Suggested Citation
Download full text from publisher
To our knowledge, this item is not available for download. To find whether it is available, there are three options:1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
References listed on IDEAS
- Richard Ajayi & Apostolos Serletis, 2009. "Testing for causality in the transmission of Eurodollar and US interest rates," Applied Financial Economics, Taylor & Francis Journals, vol. 19(6), pages 439-443.
- Simla Tokgoz & Amani Elobeid & Jacinto Fabiosa & Dermot J. Hayes & Bruce A. Babcock & Tun-Hsiang (Edward) Yu & Fengxia Dong & Chad E. Hart, 2008.
"Bottlenecks, Drought, and Oil Price Spikes: Impact on U.S. Ethanol and Agricultural Sectors,"
Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 30(4), pages 604-622.
- Simla Tokgoz & Amani Elobeid & Jacinto Fabiosa & Dermot J. Hayes & Bruce A. Babcock & Tun-Hsiang (Edward) Yu & Fengxia Dong & Chad E. Hart, 2008. "Bottlenecks, Drought, and Oil Price Spikes: Impact on U.S. Ethanol and Agricultural Sectors," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 30(4), pages 604-622.
- Tokgoz, Simla & Elobeid, Amani & Fabiosa, Jacinto F. & Hayes, Dermot J. & Babcock, Bruce A. & Yu, Tun-Hsiang & Dong, Fengxia & Hart, Chad E., 2008. "Bottlenecks, Drought, and Oil Price Spikes: Impact on U.S. Ethanol and Agricultural Sectors," Staff General Research Papers Archive 12935, Iowa State University, Department of Economics.
- Diks, Cees & Panchenko, Valentyn, 2006.
"A new statistic and practical guidelines for nonparametric Granger causality testing,"
Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1647-1669.
- Diks, C.G.H. & Panchenko, V., 2004. "A new statistic and practical guidelines for nonparametric Granger causality testing," CeNDEF Working Papers 04-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
- David P. Vincent & Peter B. Dixon & B.R. Parmenter & D.C. Sams, 1979.
"The Short‐Term Effect Of Domestic Oil Price Increases On The Australian Economy With Special Reference To The Agricultural Sector,"
Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 23(2), pages 79-101, August.
- Vincent, David P. & Dixon, Peter B. & Parmenter, B.R. & Sams, D.C., 1979. "The Short-Term Effect Of Domestic Oil Price Increases On The Australian Economy With Special Reference To The Agricultural Sector," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 23(2), pages 1-23, August.
- Chen, Sheng-Tung & Kuo, Hsiao-I & Chen, Chi-Chung, 2010. "Modeling the relationship between the oil price and global food prices," Applied Energy, Elsevier, vol. 87(8), pages 2517-2525, August.
- Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
- Nishiyama, Yoshihiko & Hitomi, Kohtaro & Kawasaki, Yoshinori & Jeong, Kiho, 2011. "A consistent nonparametric test for nonlinear causality—Specification in time series regression," Journal of Econometrics, Elsevier, vol. 165(1), pages 112-127.
- Jushan Bai & Pierre Perron, 2003.
"Computation and analysis of multiple structural change models,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
- BAI, Jushan & PERRON, Pierre, 1998. "Computation and Analysis of Multiple Structural-Change Models," Cahiers de recherche 9807, Universite de Montreal, Departement de sciences economiques.
- Tom Doan, "undated". "MULTIPLEBREAKS: RATS procedure to perform multiple structural change analysis," Statistical Software Components RTS00138, Boston College Department of Economics.
- Tom Doan, "undated". "RATS programs to replicate examples of Bai-Perron procedure," Statistical Software Components RTZ00008, Boston College Department of Economics.
- Tom Doan, "undated". "BAIPERRON: RATS procedure to perform Bai-Perron Test for Multiple Structural Changes," Statistical Software Components RTS00013, Boston College Department of Economics.
- Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
- Christiane Baumeister & Lutz Kilian, 2014.
"Do oil price increases cause higher food prices? [Biofuels, binding constraints, and agricultural commodity price volatility],"
Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 29(80), pages 691-747.
- Baumeister, Christiane & Kilian, Lutz, 2013. "Do oil price increases cause higher food prices?," CFS Working Paper Series 2013/10, Center for Financial Studies (CFS).
- Christiane Baumeister & Lutz Kilian, 2013. "Do Oil Price Increases Cause Higher Food Prices?," Staff Working Papers 13-52, Bank of Canada.
- Kilian, Lutz & Baumeister, Christiane, 2013. "Do Oil Price Increases Cause Higher Food Prices?," CEPR Discussion Papers 9689, C.E.P.R. Discussion Papers.
- Gohin, A. & Chantret, F., 2010. "The long-run impact of energy prices on world agricultural markets: The role of macro-economic linkages," Energy Policy, Elsevier, vol. 38(1), pages 333-339, January.
- Nazlioglu, Saban, 2011. "World oil and agricultural commodity prices: Evidence from nonlinear causality," Energy Policy, Elsevier, vol. 39(5), pages 2935-2943, May.
- Avalos, Fernando, 2014. "Do oil prices drive food prices? The tale of a structural break," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 253-271.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Aye, Goodness C., 2016. "Causality between Oil Price and South Africa's Food Price: Time Varying Approach - Relazione di causalità tra prezzo del petrolio e pr ezzo dei prodotti alimentari in Sud Africa: un approccio time var," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 69(3), pages 193-212.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Ajmi, Ahdi N. & Gupta, Rangan & Kruger, Monique & Schoeman, Nicola & Walters, Leoné, 2016. "The Nonparametric Relationship between Oil and South African Agricultural Prices - La relazione nonparametrica tra il prezzo del petrolio e i prezzi dei prodotti agricoli in Sud Africa," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 69(2), pages 93-112.
- Mokni, Khaled & Ben-Salha, Ousama, 2020. "Asymmetric causality in quantiles analysis of the oil-food nexus since the 1960s," Resources Policy, Elsevier, vol. 69(C).
- Sun, Yunpeng & Gao, Pengpeng & Raza, Syed Ali & Shah, Nida & Sharif, Arshian, 2023. "The asymmetric effects of oil price shocks on the world food prices: Fresh evidence from quantile-on-quantile regression approach," Energy, Elsevier, vol. 270(C).
- Bonaccolto, G. & Caporin, M. & Gupta, R., 2018.
"The dynamic impact of uncertainty in causing and forecasting the distribution of oil returns and risk,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 446-469.
- Giovanni Bonaccolto & Massimiliano Caporin & Rangan Gupta, 2015. "The Dynamic Impact of Uncertainty in Causing and Forecasting the Distribution of Oil Returns and Risk," Working Papers 201564, University of Pretoria, Department of Economics.
- Xu Xiaojie, 2018. "Linear and Nonlinear Causality between Corn Cash and Futures Prices," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 16(2), pages 1-16, November.
- Nazlioglu, Saban, 2011. "World oil and agricultural commodity prices: Evidence from nonlinear causality," Energy Policy, Elsevier, vol. 39(5), pages 2935-2943, May.
- Fowowe, Babajide, 2016. "Do oil prices drive agricultural commodity prices? Evidence from South Africa," Energy, Elsevier, vol. 104(C), pages 149-157.
- Karakotsios, Achillefs & Katrakilidis, Constantinos & Kroupis, Nikolaos, 2021. "The dynamic linkages between food prices and oil prices. Does asymmetry matter?," The Journal of Economic Asymmetries, Elsevier, vol. 23(C).
- Ren, Weijie & Li, Baisong & Han, Min, 2020. "A novel Granger causality method based on HSIC-Lasso for revealing nonlinear relationship between multivariate time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
- Cheng, Sheng & Cao, Yan, 2019. "On the relation between global food and crude oil prices: An empirical investigation in a nonlinear framework," Energy Economics, Elsevier, vol. 81(C), pages 422-432.
- Riza Demirer & David Gabauer & Rangan Gupta & Joshua Nielsen, 2023. "Gold-to-Platinum Price Ratio and the Predictability of Bubbles in Financial Markets," Working Papers 202317, University of Pretoria, Department of Economics.
- Bonato, Matteo & Gupta, Rangan & Lau, Chi Keung Marco & Wang, Shixuan, 2020.
"Moments-based spillovers across gold and oil markets,"
Energy Economics, Elsevier, vol. 89(C).
- Matteo Bonato & Rangan Gupta & Chi Keung Marco Lau & Shixuan Wang, 2019. "Moments-Based Spillovers across Gold and Oil Markets," Working Papers 201966, University of Pretoria, Department of Economics.
- Reboredo, Juan C., 2012. "Do food and oil prices co-move?," Energy Policy, Elsevier, vol. 49(C), pages 456-467.
- Rangan Gupta & Tahir Suleman & Mark E. Wohar, 2019.
"The role of time‐varying rare disaster risks in predicting bond returns and volatility,"
Review of Financial Economics, John Wiley & Sons, vol. 37(3), pages 327-340, July.
- Rangan Gupta & Tahir Suleman & Mark E. Wohar, 2017. "The Role of Time-Varying Rare Disaster Risks in Predicting Bond Returns and Volatility," Working Papers 201770, University of Pretoria, Department of Economics.
- Bahloul, Walid & Balcilar, Mehmet & Cunado, Juncal & Gupta, Rangan, 2018.
"The role of economic and financial uncertainties in predicting commodity futures returns and volatility: Evidence from a nonparametric causality-in-quantiles test,"
Journal of Multinational Financial Management, Elsevier, vol. 45(C), pages 52-71.
- Walid Bahloul & Mehmet Balcilar & Juncal Cunado & Rangan Gupta, 2017. "The Role of Economic and Financial Uncertainties in Predicting Commodity Futures Returns and Volatility: Evidence from a Nonparametric Causality-in-Quantiles Test," Working Papers 201725, University of Pretoria, Department of Economics.
- Jinghua Wang & Geoffrey Ngene, 2018. "Symmetric and asymmetric nonlinear causalities between oil prices and the U.S. economic sectors," Review of Quantitative Finance and Accounting, Springer, vol. 51(1), pages 199-218, July.
- Palazzi, Rafael Baptista & Meira, Erick & Klotzle, Marcelo Cabus, 2022. "The sugar-ethanol-oil nexus in Brazil: Exploring the pass-through of international commodity prices to national fuel prices," Journal of Commodity Markets, Elsevier, vol. 28(C).
- Rafiq, Shuddhasattwa & Bloch, Harry, 2016. "Explaining commodity prices through asymmetric oil shocks: Evidence from nonlinear models," Resources Policy, Elsevier, vol. 50(C), pages 34-48.
- Raza, Syed Ali & Guesmi, Khaled & Belaid, Fateh & Shah, Nida, 2022.
"Time-frequency causality and connectedness between oil price shocks and the world food prices,"
Research in International Business and Finance, Elsevier, vol. 62(C).
- Syed Ali Raza & Khaled Guesmi & Fateh Belaid & Nida Shah, 2022. "Time-frequency causality and connectedness between oil price shocks and the world food prices," Post-Print hal-04542337, HAL.
- Rangan Gupta & Jacobus Nel & Joshua Nielsen & Christian Pierdzioch, 2023. "Stock Market Volatility and Multi-Scale Positive and Negative Bubbles," Working Papers 202310, University of Pretoria, Department of Economics.
More about this item
Keywords
Agricultural prices; Oil prices; Granger causality; Nonlinearity; South Africa;All these keywords.
JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
- Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-AFR-2014-11-17 (Africa)
- NEP-AGR-2014-11-17 (Agricultural Economics)
- NEP-ENE-2014-11-17 (Energy Economics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pre:wpaper:201461. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Rangan Gupta (email available below). General contact details of provider: https://edirc.repec.org/data/decupza.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.