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Ismael Enrique Arciniegas Rueda

Personal Details

First Name:Ismael
Middle Name:Enrique
Last Name:Arciniegas Rueda
Suffix:
RePEc Short-ID:par86
[This author has chosen not to make the email address public]
Terminal Degree:2002 Department of Economics; University at Albany, State University of New York (SUNY) (from RePEc Genealogy)

Research output

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Jump to: Working papers Articles

Working papers

  1. Ismael E Arciniegas Rueda & Fabio Arciniegas, 2005. "SOM-based Data Analysis of Speculative Attacks' Real Effects," International Finance 0507001, University Library of Munich, Germany.

Articles

  1. Ismael Arciniegas Rueda, 2012. "Empirical Analysis Of Speculative Attacks With Contractionary Real Effects," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(2), pages 102-127, April.
  2. Arciniegas, Alvaro I. & Arciniegas Rueda, Ismael E., 2008. "Forecasting short-term power prices in the Ontario Electricity Market (OEM) with a fuzzy logic based inference system," Utilities Policy, Elsevier, vol. 16(1), pages 39-48, March.
  3. Arciniegas Rueda, Ismael E. & Marathe, Achla, 2005. "Important variables in explaining real-time peak price in the independent power market of Ontario," Utilities Policy, Elsevier, vol. 13(1), pages 27-39, March.
  4. Arciniegas, Ismael & Barrett, Chris & Marathe, Achla, 2003. "Assessing the efficiency of US electricity markets," Utilities Policy, Elsevier, vol. 11(2), pages 75-86, June.

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.

Working papers

  1. Ismael E Arciniegas Rueda & Fabio Arciniegas, 2005. "SOM-based Data Analysis of Speculative Attacks' Real Effects," International Finance 0507001, University Library of Munich, Germany.

    Cited by:

    1. Ismael Arciniegas Rueda, 2012. "Empirical Analysis Of Speculative Attacks With Contractionary Real Effects," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(2), pages 102-127, April.
    2. Sarlin, Peter & Peltonen, Tuomas A., 2013. "Mapping the state of financial stability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 46-76.
    3. Peter Sarlin, 2014. "Macroprudential oversight, risk communication and visualization," Papers 1404.4550, arXiv.org, revised Jun 2014.

Articles

  1. Arciniegas, Alvaro I. & Arciniegas Rueda, Ismael E., 2008. "Forecasting short-term power prices in the Ontario Electricity Market (OEM) with a fuzzy logic based inference system," Utilities Policy, Elsevier, vol. 16(1), pages 39-48, March.

    Cited by:

    1. Olga Y. Uritskaya & Vadim M. Uritsky, 2015. "Predictability of price movements in deregulated electricity markets," Papers 1505.08117, arXiv.org.
    2. Uritskaya, Olga Y. & Uritsky, Vadim M., 2015. "Predictability of price movements in deregulated electricity markets," Energy Economics, Elsevier, vol. 49(C), pages 72-81.
    3. Claudio Monteiro & L. Alfredo Fernandez-Jimenez & Ignacio J. Ramirez-Rosado, 2015. "Explanatory Information Analysis for Day-Ahead Price Forecasting in the Iberian Electricity Market," Energies, MDPI, vol. 8(9), pages 1-23, September.
    4. Debnath, Kumar Biswajit & Mourshed, Monjur, 2018. "Forecasting methods in energy planning models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 297-325.
    5. Naser Rostamni & Tarik A. Rashid, 2019. "Investigating the effect of competitiveness power in estimating the average weighted price in electricity market," Papers 1907.11984, arXiv.org.
    6. Francesca Di Pillo & Vito Introna & Nathan Levialdi & Laura Marchegiani, 2018. "Regulatory Response to Self-production of Energy: A Risk for the Development of Renewable Sources and Combined Heat and Power," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 121-130.
    7. Singh, Priyanka & Kottath, Rahul, 2022. "Influencer-defaulter mutation-based optimization algorithms for predicting electricity prices," Utilities Policy, Elsevier, vol. 79(C).
    8. Claudio Monteiro & Ignacio J. Ramirez-Rosado & L. Alfredo Fernandez-Jimenez & Pedro Conde, 2016. "Short-Term Price Forecasting Models Based on Artificial Neural Networks for Intraday Sessions in the Iberian Electricity Market," Energies, MDPI, vol. 9(9), pages 1-24, September.

  2. Arciniegas Rueda, Ismael E. & Marathe, Achla, 2005. "Important variables in explaining real-time peak price in the independent power market of Ontario," Utilities Policy, Elsevier, vol. 13(1), pages 27-39, March.

    Cited by:

    1. Arciniegas, Alvaro I. & Arciniegas Rueda, Ismael E., 2008. "Forecasting short-term power prices in the Ontario Electricity Market (OEM) with a fuzzy logic based inference system," Utilities Policy, Elsevier, vol. 16(1), pages 39-48, March.
    2. Santhosh, Apoorva & Farid, Amro M. & Youcef-Toumi, Kamal, 2014. "Real-time economic dispatch for the supply side of the energy-water nexus," Applied Energy, Elsevier, vol. 122(C), pages 42-52.
    3. Karla Atkins & Achla Marathe & Chris Barrett, 2006. "A Computational Approach to Modeling Commodity Markets," Computing in Economics and Finance 2006 240, Society for Computational Economics.

  3. Arciniegas, Ismael & Barrett, Chris & Marathe, Achla, 2003. "Assessing the efficiency of US electricity markets," Utilities Policy, Elsevier, vol. 11(2), pages 75-86, June.

    Cited by:

    1. Arciniegas, Alvaro I. & Arciniegas Rueda, Ismael E., 2008. "Forecasting short-term power prices in the Ontario Electricity Market (OEM) with a fuzzy logic based inference system," Utilities Policy, Elsevier, vol. 16(1), pages 39-48, March.
    2. Olga Y. Uritskaya & Vadim M. Uritsky, 2015. "Predictability of price movements in deregulated electricity markets," Papers 1505.08117, arXiv.org.
    3. Tran Dang Khoa, 2018. "Market Efficiency and Market Power in Vietnam Competitive Generation Market," International Journal of Energy Economics and Policy, Econjournals, vol. 8(1), pages 181-189.
    4. Georg Zachmann, 2007. "A Markov Switching Model of the Merit Order to Compare British and German Price Formation," Discussion Papers of DIW Berlin 714, DIW Berlin, German Institute for Economic Research.
    5. Mustafa Kemal Yilmaz & Necla I. Kucukcolak & R. Ali Kucukcolak, 2018. "Market Efficiency and Risk Premium in the Turkish Wholesale Electricity Market," International Journal of Energy Economics and Policy, Econjournals, vol. 8(5), pages 76-88.
    6. Uritskaya, Olga Y. & Uritsky, Vadim M., 2015. "Predictability of price movements in deregulated electricity markets," Energy Economics, Elsevier, vol. 49(C), pages 72-81.
    7. George P. Papaioannou & Christos Dikaiakos & Akylas C. Stratigakos & Panos C. Papageorgiou & Konstantinos F. Krommydas, 2019. "Testing the Efficiency of Electricity Markets Using a New Composite Measure Based on Nonlinear TS Tools," Energies, MDPI, vol. 12(4), pages 1-30, February.
    8. Morales, Lucía & Hanly, Jim, 2018. "European power markets–A journey towards efficiency," Energy Policy, Elsevier, vol. 116(C), pages 78-85.
    9. Stratford M. Douglas & Julia N. Popova, 2011. "Econometric Estimation of Spatial Patterns in Electricity Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 81-106.
    10. Capece, Guendalina & Cricelli, Livio & Di Pillo, Francesca & Levialdi, Nathan, 2012. "New regulatory policies in Italy: Impact on financial results, on liquidity and profitability of natural gas retail companies," Utilities Policy, Elsevier, vol. 23(C), pages 90-98.
    11. Arciniegas Rueda, Ismael E. & Marathe, Achla, 2005. "Important variables in explaining real-time peak price in the independent power market of Ontario," Utilities Policy, Elsevier, vol. 13(1), pages 27-39, March.
    12. Capitán Herráiz, Álvaro & Rodríguez Monroy, Carlos, 2009. "Analysis of the efficiency of the Iberian power futures market," Energy Policy, Elsevier, vol. 37(9), pages 3566-3579, September.
    13. Asan, Goksel & Tasaltin, Kamil, 2017. "Market efficiency assessment under dual pricing rule for the Turkish wholesale electricity market," Energy Policy, Elsevier, vol. 107(C), pages 109-118.
    14. Karla Atkins & Achla Marathe & Chris Barrett, 2006. "A Computational Approach to Modeling Commodity Markets," Computing in Economics and Finance 2006 240, Society for Computational Economics.
    15. Karahan, Cenk C. & Odabaşı, Attila & Tiryaki, C. Sani, 2024. "Wired together: Integration and efficiency in European electricity markets," Energy Economics, Elsevier, vol. 133(C).
    16. Rammerstorfer, Margarethe & Wagner, Christian, 2009. "Reforming minute reserve policy in Germany: A step towards efficient markets?," Energy Policy, Elsevier, vol. 37(9), pages 3513-3519, September.

More information

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CMP: Computational Economics (1) 2005-07-11

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