Christos Emmanouilides

Personal Details

First Name:	Christos
Middle Name:
Last Name:	Emmanouilides
Suffix:
RePEc Short-ID:	pem27
	[This author has chosen not to make the email address public]

Affiliation

Department of Economics
Aristotle University of Thessaloniki

Thessaloniki, Greece
http://www.econ.auth.gr/
RePEc:edi:deautgr (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

1. Anagnostidis, Panagiotis & Emmanouilides, Christos J., 2015. "Nonlinearity in high-frequency stock returns: Evidence from the Athens Stock Exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 473-487.

   Cited by:

   1. Aviral Kumar Tiwari & Rangan Gupta & Stelios Bekiros, 2016. "Chaos in G7 Stock Markets using Over One Century of Data: A Note," Working Papers 201678, University of Pretoria, Department of Economics.
      • Tiwari, Aviral Kumar & Gupta, Rangan, 2019. "Chaos in G7 stock markets using over one century of data: A note," Research in International Business and Finance, Elsevier, vol. 47(C), pages 304-310.
   2. BenSaïda, Ahmed & Slim, Skander, 2016. "Highly flexible distributions to fit multiple frequency financial returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 203-213.
   3. Lahmiri, Salim & Bekiros, Stelios & Salvi, Antonio, 2018. "Long-range memory, distributional variation and randomness of bitcoin volatility," Chaos, Solitons & Fractals, Elsevier, vol. 107(C), pages 43-48.
   4. Julio E. Sandubete & León Beleña & Juan Carlos García-Villalobos, 2023. "Testing the Efficient Market Hypothesis and the Model-Data Paradox of Chaos on Top Currencies from the Foreign Exchange Market (FOREX)," Mathematics, MDPI, vol. 11(2), pages 1-29, January.
   5. Sandubete, Julio E. & Escot, Lorenzo, 2020. "Chaotic signals inside some tick-by-tick financial time series," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).
   6. Assaf, Ata & Charif, Husni & Demir, Ender, 2022. "Information sharing among cryptocurrencies: Evidence from mutual information and approximate entropy during COVID-19," Finance Research Letters, Elsevier, vol. 47(PA).
   7. Claudiu Tiberiu Albulescu & Aviral Kumar Tiwari & Phouphet Kyophilavong, 2021. "Nonlinearities and Chaos: A New Analysis of CEE Stock Markets," Mathematics, MDPI, vol. 9(7), pages 1-13, March.
   8. Vamvakaris, Michail D. & Pantelous, Athanasios A. & Zuev, Konstantin M., 2018. "Time series analysis of S&P 500 index: A horizontal visibility graph approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 497(C), pages 41-51.
   9. Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034.

2. Christos J. Emmanouilides & Panos Fousekis, 2015. "Vertical price dependence structures: copula-based evidence from the beef supply chain in the USA," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 42(1), pages 77-97.

   Cited by:

   1. GRIGORIADIS, Vasilis & EMMANOUILIDES, Christos & FOUSEKIS, Panos, 2016. "The Integration Of Pigmeat Markets In The Eu. Evidence From A Regular Mixed Vine Copula," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 19(1), pages 1-10, March.
   2. Dimitrios Panagiotou & Athanassios Stavrakoudis, 2023. "Price dependence among the major EU extra virgin olive oil markets: a time scale analysis," Review of Agricultural, Food and Environmental Studies, Springer, vol. 104(1), pages 1-26, March.
   3. Fousekis, Panos & Katrakilidis, Constantinos & Trachanas, Emmanouil, 2016. "Vertical price transmission in the US beef sector: Evidence from the nonlinear ARDL model," Economic Modelling, Elsevier, vol. 52(PB), pages 499-506.
   4. Panos Fousekis & Dimitra Tzaferi, 2022. "Tail price risk spillovers along the US beef and pork supply chains," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(2), pages 383-399, April.
   5. Pozo, Veronica F. & Bachmeier, Lance J. & Schroeder, Ted C., 2021. "Are there price asymmetries in the U.S. beef market?," Journal of Commodity Markets, Elsevier, vol. 21(C).
   6. Panagiotou Dimitrios & Stavrakoudis Athanassios, 2016. "Price Dependence between Different Beef Cuts and Quality Grades: A Copula Approach at the Retail Level for the U.S. Beef Industry," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 14(1), pages 121-131, May.
      • Papagiotou, Dimitrios & Stavrakoudis, Athanassios, 2015. "Price Dependence between Different Beef Cuts and Quality Grades: A Copula Approach at the Retail Level for the U.S. Beef Industry," MPRA Paper 65451, University Library of Munich, Germany.
   7. Fousekis, Panos, 2017. "Price co-movement and the hedger's value-at-risk in the futures markets for coffee," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 0(Issue 1), January.
   8. Erdal Erol & Sayed H. Saghaian, 2022. "The COVID-19 Pandemic and Dynamics of Price Adjustment in the U.S. Beef Sector," Sustainability, MDPI, vol. 14(8), pages 1-14, April.
   9. Panagiotou, Dimitrios & Stavrakoudis, Athanassios, 2017. "Vertical price relationships between different cuts and quality grades in the U.S. beef marketing channel: a wholesale-retail analysis," MPRA Paper 75989, University Library of Munich, Germany.
      • Panagiotou, Dimitrios & Stavrakoudis, Athanassios, 2017. "Vertical price relationships between different cuts and quality grades in the U.S. beef marketing channel: A wholesale-retail analysis," The Journal of Economic Asymmetries, Elsevier, vol. 16(C), pages 53-63.
   10. Stavrakoudis, Athanassios & Panagiotou, Dimitrios, 2016. "Price dependence between coffee qualities: a copula model to evaluate asymmetric responses," MPRA Paper 75994, University Library of Munich, Germany.
   11. Bousebata, Meryem & Enjolras, Geoffroy & Girard, Stéphane, 2020. "The dependence structure between yields and prices: A copula-based model of French farm income," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304313, Agricultural and Applied Economics Association.
   12. Stavrakoudis, Athanassios & Panagiotou, Dimitrios, 2016. "Price dependence and asymmetric responses between coffee varieties," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 17(2), June.
   13. Fousekis, Panos & Grigoriadis, Vasilis, 2016. "Spatial price dependence by time scale: Empirical evidence from the international butter markets," Economic Modelling, Elsevier, vol. 54(C), pages 195-204.
   14. Stephan von Cramon-Taubadel, 2017. "The analysis of market integration and price transmission – results and implications in an African context," Agrekon, Taylor & Francis Journals, vol. 56(2), pages 83-96, April.
   15. Ahmed, Osama, 2021. "Assessing the current situation of the world wheat market leadership: Using the semi-parametric approach," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(2).
   16. Fousekis, Panos & Tzaferi, Dimitra, 2018. "Market connectedness in the US beef supply chain," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 0(Issue 1).

3. Christos J. Emmanouilides & Panos Fousekis, 2015. "Assessing the Validity of the LOP in the EU Broiler Markets," Agribusiness, John Wiley & Sons, Ltd., vol. 31(1), pages 33-46, January.

   Cited by:

   1. Dimitrios Panagiotou & Athanassios Stavrakoudis, 2023. "Price dependence among the major EU extra virgin olive oil markets: a time scale analysis," Review of Agricultural, Food and Environmental Studies, Springer, vol. 104(1), pages 1-26, March.
   2. Marcin Pigłowski, 2021. "The Intra-European Union Food Trade with the Relation to the Notifications in the Rapid Alert System for Food and Feed," IJERPH, MDPI, vol. 18(4), pages 1-19, February.
   3. Bakucs, Zoltan & Ferto, Imre & Benedeka, Zsofia & Molnar, Adrienn, 2015. "Determinants of Horizontal Milk Producer Price Integration," 2015 Conference, August 9-14, 2015, Milan, Italy 212042, International Association of Agricultural Economists.

4. Christos J. Emmanouilides & Panos Fousekis, 2012. "Testing for the LOP under nonlinearity: an application to four major EU pork markets," Agricultural Economics, International Association of Agricultural Economists, vol. 43(6), pages 715-723, November.

   Cited by:

   1. GRIGORIADIS, Vasilis & EMMANOUILIDES, Christos & FOUSEKIS, Panos, 2016. "The Integration Of Pigmeat Markets In The Eu. Evidence From A Regular Mixed Vine Copula," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 19(1), pages 1-10, March.
   2. Holst, Carsten & Cramon-Taubdel, Stephan von, 2014. "Trade, Market Integration and Spatial Price Transmission on EU Pork Markets following Eastern Enlargement," Department of Agricultural and Rural Development (DARE) Discussion Papers 187598, Georg-August-Universitaet Goettingen, Department of Agricultural Economics and Rural Development (DARE).
   3. Dimitrios Panagiotou & Athanassios Stavrakoudis, 2023. "Price dependence among the major EU extra virgin olive oil markets: a time scale analysis," Review of Agricultural, Food and Environmental Studies, Springer, vol. 104(1), pages 1-26, March.
   4. Monika Roman, 2020. "Spatial Integration of the Milk Market in Poland," Sustainability, MDPI, vol. 12(4), pages 1-17, February.
   5. Jurkėnaitė, Nelė & Syp, Alina, 2022. "Spatial Pigmeat Price Transmission: The Case of Lithuania and Poland," Problems of Agricultural Economics / Zagadnienia Ekonomiki Rolnej 320312, Institute of Agricultural and Food Economics - National Research Institute (IAFE-NRI).
   6. Panos Fousekis & Vasilis Grigoriadis, 2016. "Price co-movement in the principal skim milk powder producing regions: a wavelet analysis," Economics Bulletin, AccessEcon, vol. 36(1), pages 477-492.
   7. Panagiotpu, Dimitrios & Stavrakoudis, Athanassios, 2021. "Price dependence among the major EU extra virgin olive oil markets: A time scale analysis," MPRA Paper 114656, University Library of Munich, Germany, revised Jun 2022.
   8. Kurmas Akdogan, 2018. "Mean-reversion and structural change in European food prices," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 18(4), pages 163-173.
   9. Fousekis, Panos & Grigoriadis, Vasilis, 2019. "Integration and Hierarchy of Pork Markets in the EU: An Analysis from the Vantage of Graph Theory," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 68(2), June.
   10. Holst, Carsten & von Cramon-Taubadel, Stephan, 2013. "Trade, market integration and spatial price transmission on EU pork markets following Eastern enlargement," DARE Discussion Papers 1307, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
   11. Monika Roman & Michał Roman, 2020. "Milk Market Integration between Poland and the EU Countries," Agriculture, MDPI, vol. 10(11), pages 1-17, November.
   12. Fousekis, Panos, 2022. "Price risk connectedness in the principal olive oil markets of the EU," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
   13. Fousekis, Panos & Grigoriadis, Vasilis, 2016. "Spatial price dependence by time scale: Empirical evidence from the international butter markets," Economic Modelling, Elsevier, vol. 54(C), pages 195-204.

5. Christos Emmanouilides & Panos Fousekis, 2009. "Non-Linear Catching-up and Long-Run Convergence in the Agricultural Productivity of US States," Economics Bulletin, AccessEcon, vol. 29(1), pages 182-189.

   Cited by:

   1. Erdmann, Anett & Arilla, Ramón & Ponzoa, José M., 2022. "Search engine optimization: The long-term strategy of keyword choice," Journal of Business Research, Elsevier, vol. 144(C), pages 650-662.

6. Emmanouilides, Christos J. & Davies, Richard B., 2007. "Modelling and estimation of social interaction effects in new product diffusion," European Journal of Operational Research, Elsevier, vol. 177(2), pages 1253-1274, March.

   Cited by:

   1. Amini, Mehdi & Wakolbinger, Tina & Racer, Michael & Nejad, Mohammad G., 2012. "Alternative supply chain production–sales policies for new product diffusion: An agent-based modeling and simulation approach," European Journal of Operational Research, Elsevier, vol. 216(2), pages 301-311.
   2. Nagarajan, Magesh & Shaw, Duncan & Albores, Pavel, 2012. "Disseminating a warning message to evacuate: A simulation study of the behaviour of neighbours," European Journal of Operational Research, Elsevier, vol. 220(3), pages 810-819.
   3. Yan, Hong-Sen & Ma, Kai-Ping, 2011. "Competitive diffusion process of repurchased products in knowledgeable manufacturing," European Journal of Operational Research, Elsevier, vol. 208(3), pages 243-252, February.
   4. Elmar Kiesling & Markus Günther & Christian Stummer & Lea Wakolbinger, 2012. "Agent-based simulation of innovation diffusion: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 183-230, June.
   5. Barnes, Belinda & Southwell, Darren & Bruce, Sarah & Woodhams, Felicity, 2014. "Additionality, common practice and incentive schemes for the uptake of innovations," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 43-61.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Christos Emmanouilides should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.