Laura Marta Nuñez Letamendia
(Laura Marta Nunez Letamendia)

Personal Details

First Name:	Laura
Middle Name:	Marta
Last Name:	Nunez Letamendia
Suffix:
RePEc Short-ID:	pnu24
	Serrano 105, 28006 Madrid, Spain
	+34915689647

Affiliation

IE Business School
Universidad IE

Madrid, Spain
http://www.ie.edu/es/business-school/
RePEc:edi:inempes (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.

Working papers

Sorry, no citations of working papers recorded.

Articles

1. Alaa Rady & Hakim Meshreki & Ayman Ismail & Laura Núñez, 2019. "Variations in Valuation Methodologies and the Cost of Capital: Evidence from MENA Countries," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(9), pages 2106-2123, July.

   Cited by:

   1. César Omar López à vila & Norma Pontet Ubal, 2020. "Complementary break-even point with economic value added," Documentos de Investigación 128, Universidad ORT Uruguay. Facultad de Administración y Ciencias Sociales.
   2. Justyna Franc-Dąbrowska & Magdalena Mądra-Sawicka & Anna Milewska, 2021. "Energy Sector Risk and Cost of Capital Assessment—Companies and Investors Perspective," Energies, MDPI, vol. 14(6), pages 1-20, March.

2. Donovan, Charles & Nuñez, Laura, 2012. "Figuring what’s fair: The cost of equity capital for renewable energy in emerging markets," Energy Policy, Elsevier, vol. 40(C), pages 49-58.

   Cited by:

   1. Jacqueline Yujia Tao, . "Utilising Green Bonds for Financing Renewable Energy Projects in Developing Asian Countries," Chapters, in: Shigeru Kimura & Youngho Chang & Yanfei Li (ed.), Financing Renewable Energy Development in East Asia Summit Countries A Primer of Effective Policy Instruments, chapter 12, pages 343-381, Economic Research Institute for ASEAN and East Asia (ERIA).
   2. Bergek, Anna & Mignon, Ingrid & Sundberg, Gunnel, 2013. "Who invests in renewable electricity production? Empirical evidence and suggestions for further research," Energy Policy, Elsevier, vol. 56(C), pages 568-581.
   3. Ekaterina Azarova & Hannah Jun, 2021. "Investigating Determinants of International Clean Energy Investments in Emerging Markets," Sustainability, MDPI, vol. 13(21), pages 1-15, October.
   4. Ng, Thiam Hee & Tao, Jacqueline Yujia, 2016. "Bond financing for renewable energy in Asia," Energy Policy, Elsevier, vol. 95(C), pages 509-517.
   5. Steffen, Bjarne, 2020. "Estimating the cost of capital for renewable energy projects," Energy Economics, Elsevier, vol. 88(C).
   6. Thiam Hee Ng, . "Bond Financing for Renewable Energy in Asia," Chapters, in: Shigeru Kimura & Youngho Chang & Yanfei Li (ed.), Financing Renewable Energy Development in East Asia Summit Countries A Primer of Effective Policy Instruments, chapter 11, pages 321-342, Economic Research Institute for ASEAN and East Asia (ERIA).
   7. McInerney, Celine & Bunn, Derek W., 2019. "Expansion of the investor base for the energy transition," Energy Policy, Elsevier, vol. 129(C), pages 1240-1244.
   8. Bousquet, Cécile & Samora, Irene & Manso, Pedro & Rossi, Luca & Heller, Philippe & Schleiss, Anton J., 2017. "Assessment of hydropower potential in wastewater systems and application to Switzerland," Renewable Energy, Elsevier, vol. 113(C), pages 64-73.
   9. Partridge, Ian, 2013. "Renewable electricity generation in India—A learning rate analysis," Energy Policy, Elsevier, vol. 60(C), pages 906-915.
   10. Kayo, Eduardo K. & Martelanc, Roy & Brunaldi, Eduardo O. & da Silva, Walter E., 2020. "Capital asset pricing model, beta stability, and the pricing puzzle of electricity transmission in Brazil," Energy Policy, Elsevier, vol. 142(C).
   11. Elie, Luc & Granier, Caroline & Rigot, Sandra, 2021. "The different types of renewable energy finance: A Bibliometric analysis," Energy Economics, Elsevier, vol. 93(C).
   12. Feldman, David & Jones-Albertus, Rebecca & Margolis, Robert, 2020. "Quantifying the impact of R&D on PV project financing costs," Energy Policy, Elsevier, vol. 142(C).
   13. Naqvi, Bushra & Mirza, Nawazish & Rizvi, Syed Kumail Abbas & Porada-Rochoń, Małgorzata & Itani, Rania, 2021. "Is there a green fund premium? Evidence from twenty seven emerging markets," Global Finance Journal, Elsevier, vol. 50(C).
   14. Reboredo, Juan C. & Wen, Xiaoqian, 2015. "Are China’s new energy stock prices driven by new energy policies?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 624-636.
   15. Lone Werner & Bert Scholtens, 2017. "Firm Type, Feed-in Tariff, and Wind Energy Investment in Germany: An Investigation of Decision Making Factors of Energy Producers Regarding Investing in Wind Energy Capacity," Journal of Industrial Ecology, Yale University, vol. 21(2), pages 402-411, April.
   16. Singh, Kewal & Singh, Anoop & Prakash, Puneet, 2022. "Estimating the cost of equity for the regulated energy and infrastructure sectors in India," Utilities Policy, Elsevier, vol. 74(C).

3. Pacheco, Joaquín & Casado, Silvia & Núñez, Laura, 2009. "A variable selection method based on Tabu search for logistic regression models," European Journal of Operational Research, Elsevier, vol. 199(2), pages 506-511, December.

   Cited by:

   1. Brusco, Michael J. & Steinley, Douglas, 2011. "Exact and approximate algorithms for variable selection in linear discriminant analysis," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 123-131, January.
   2. Mohammad Mahdi Mousavi & Jamal Ouenniche & Kaoru Tone, 2023. "A dynamic performance evaluation of distress prediction models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 756-784, July.
   3. Pacheco, Joaquín & Casado, Silvia & Porras, Santiago, 2013. "Exact methods for variable selection in principal component analysis: Guide functions and pre-selection," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 95-111.
   4. Aytug, Haldun, 2015. "Feature selection for support vector machines using Generalized Benders Decomposition," European Journal of Operational Research, Elsevier, vol. 244(1), pages 210-218.
   5. García-Alonso, Carlos R. & Torres-Jiménez, Mercedes & Hervás-Martínez, César, 2010. "Income prediction in the agrarian sector using product unit neural networks," European Journal of Operational Research, Elsevier, vol. 204(2), pages 355-365, July.
   6. Unler, Alper & Murat, Alper, 2010. "A discrete particle swarm optimization method for feature selection in binary classification problems," European Journal of Operational Research, Elsevier, vol. 206(3), pages 528-539, November.
   7. Casado Yusta, Silvia & Nœ–ez Letamendía, Laura & Pacheco Bonrostro, Joaqu’n Antonio, 2018. "Predicting Corporate Failure: The GRASP-LOGIT Model || Predicci—n de la quiebra empresarial: el modelo GRASP-LOGIT," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 26(1), pages 294-314, Diciembre.
   8. Ortelli, Nicola & Hillel, Tim & Pereira, Francisco C. & de Lapparent, Matthieu & Bierlaire, Michel, 2021. "Assisted specification of discrete choice models," Journal of choice modelling, Elsevier, vol. 39(C).
   9. Fouskakis, D., 2012. "Bayesian variable selection in generalized linear models using a combination of stochastic optimization methods," European Journal of Operational Research, Elsevier, vol. 220(2), pages 414-422.
   10. Brusco, Michael J., 2014. "A comparison of simulated annealing algorithms for variable selection in principal component analysis and discriminant analysis," Computational Statistics & Data Analysis, Elsevier, vol. 77(C), pages 38-53.
   11. Toshiki Sato & Yuichi Takano & Ryuhei Miyashiro & Akiko Yoshise, 2016. "Feature subset selection for logistic regression via mixed integer optimization," Computational Optimization and Applications, Springer, vol. 64(3), pages 865-880, July.
   12. Lingras, P. & Butz, C.J., 2010. "Rough support vector regression," European Journal of Operational Research, Elsevier, vol. 206(2), pages 445-455, October.
   13. Paz, Alexander & Arteaga, Cristian & Cobos, Carlos, 2019. "Specification of mixed logit models assisted by an optimization framework," Journal of choice modelling, Elsevier, vol. 30(C), pages 50-60.

More information

Research fields, statistics, top rankings, if available.

Statistics

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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 3 papers 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 (3) 2003-10-20 2005-07-25 2005-07-25
2. NEP-FMK: Financial Markets (3) 2003-10-20 2005-07-25 2005-07-25
3. NEP-FIN: Finance (2) 2003-10-20 2005-07-25
4. NEP-CFN: Corporate Finance (1) 2005-07-25
5. NEP-FOR: Forecasting (1) 2005-07-25
6. NEP-RMG: Risk Management (1) 2003-10-20

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