Raquel Quiroga-Garcia

Personal Details

First Name:	Raquel
Middle Name:
Last Name:	Quiroga-Garcia
Suffix:
RePEc Short-ID:	pqu184
	[This author has chosen not to make the email address public]
Terminal Degree:	Facultad de Economía y Empresa; Universidad de Oviedo (from RePEc Genealogy)

Affiliation

Departamento de Economía Cuantitativa
Facultad de Economía y Empresa
Universidad de Oviedo

Oviedo, Spain
http://www.unioviedo.es/ecocuan/
RePEc:edi:dcovies (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. Amelia Bilbao-Terol & Mar Arenas-Parra & Raquel Quiroga-García & Celia Bilbao-Terol, 2022. "An extended best–worst multiple reference point method: application in the assessment of non-life insurance companies," Operational Research, Springer, vol. 22(5), pages 5323-5362, November.

   Cited by:

   1. Amelia Bilbao-Terol & Mar Arenas-Parra & Raquel Quiroga-García & Celia Bilbao-Terol, 2024. "Is investing in the renewable energy stock market both financially and ESG efficient? A COVID-19 pandemic analysis," Review of Managerial Science, Springer, vol. 18(7), pages 1885-1916, July.

2. Quiroga-Garcia, Raquel & Pariente-Martinez, Natalia & Arenas-Parra, Mar, 2022. "Evidence for round number effects in cryptocurrencies prices," Finance Research Letters, Elsevier, vol. 47(PB).

   Cited by:

   1. Han, SeungOh, 2024. "Price clustering on cryptocurrency order books at a US-based exchange," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
   2. Katsiampa, Paraskevi & Yarovaya, Larisa & Zięba, Damian, 2022. "High-frequency connectedness between Bitcoin and other top-traded crypto assets during the COVID-19 crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).

3. Raquel Ibar-Alonso & Raquel Quiroga-García & Mar Arenas-Parra, 2022. "Opinion Mining of Green Energy Sentiment: A Russia-Ukraine Conflict Analysis," Mathematics, MDPI, vol. 10(14), pages 1-22, July.

   Cited by:

   1. Olajide O. Oyadeyi & Sodiq Arogundade & Mduduzi Biyase, 2024. "How did African stock markets react to the Russia-Ukraine crisis “black-swan” event? Empirical insights from event study," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
   2. Myriam Caratù & Valerio Brescia & Ilaria Pigliautile & Paolo Biancone, 2023. "Assessing Energy Communities’ Awareness on Social Media with a Content and Sentiment Analysis," Sustainability, MDPI, vol. 15(8), pages 1-28, April.
   3. Xin, Baogui & Zhang, Mengwei, 2023. "Evolutionary game on international energy trade under the Russia-Ukraine conflict," Energy Economics, Elsevier, vol. 125(C).

4. David G. McMillan & Raquel Quiroga García, 2013. "Does Information Help Intra‐Day Volatility Forecasts?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(1), pages 1-9, January.

   Cited by:

   1. Massimiliano Caporin & Francesco Poli, 2017. "Building News Measures from Textual Data and an Application to Volatility Forecasting," Econometrics, MDPI, vol. 5(3), pages 1-46, August.
   2. Xiong Xiong & Zhang Jin & Jin Xi & Feng Xu, 2016. "Review on Financial Innovations in Big Data Era," Journal of Systems Science and Information, De Gruyter, vol. 4(6), pages 489-504, December.
   3. Zhang, Yongjie & Feng, Lina & Jin, Xi & Shen, Dehua & Xiong, Xiong & Zhang, Wei, 2014. "Internet information arrival and volatility of SME PRICE INDEX," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 70-74.

5. David McMillan & Raquel Quiroga Garcia, 2009. "Intra-day volatility forecasts," Applied Financial Economics, Taylor & Francis Journals, vol. 19(8), pages 611-623.

   Cited by:

   1. Chu, Carlin C.F. & Lam, K.P., 2011. "Modeling intraday volatility: A new consideration," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(3), pages 388-418, July.
   2. Ashish Kumar, 2015. "Impact of Currency Futures on Volatility in Exchange Rate," Paradigm, , vol. 19(1), pages 95-108, June.
   3. Prateek Sharma & Vipul _, 2015. "Forecasting stock index volatility with GARCH models: international evidence," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 32(4), pages 445-463, October.
   4. Tseng-Chan Tseng & Hung-Cheng Lai & Cha-Fei Lin, 2012. "The impact of overnight returns on realized volatility," Applied Financial Economics, Taylor & Francis Journals, vol. 22(5), pages 357-364, March.

6. David G. McMillan & Raquel Quiroga Garcia, 2008. "Efficiency of the IBEX spot–futures basis: The impact of the mini‐futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(4), pages 398-415, April.

   Cited by:

   1. Greppmair, Stefan & Theissen, Erik, 2019. "Small is beautiful? How the introduction of mini futures contracts affects the regular contract," CFR Working Papers 19-06, University of Cologne, Centre for Financial Research (CFR).
   2. Greppmair, Stefan & Theissen, Erik, 2022. "Small is beautiful? How the introduction of mini futures contracts affects the regular contracts," Journal of Empirical Finance, Elsevier, vol. 67(C), pages 19-38.
   3. Mohamed El Hedi Arouri & Fredj Jawadi & Prosper Mouak, 2013. "Testing the efficiency of the aluminium market: evidence from London metal exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 23(6), pages 483-493, March.

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