Raquel Arguedas Sanz

Personal Details

First Name:	Raquel
Middle Name:
Last Name:	Arguedas Sanz
Suffix:
RePEc Short-ID:	par668
	[This author has chosen not to make the email address public]
	https://www.uned.es/universidad/docentes/economicas-empresariales/raquel-arguedas-sanz.html
Terminal Degree:	Departamento de Economía de la Empresa y Contabilidad; Facultad de Ciencias Económicas y Empresariales; Universidad Nacional de Educatión a Distancia (from RePEc Genealogy)

Affiliation

Facultad de Ciencias Económicas y Empresariales
Universidad Nacional de Educatión a Distancia

Madrid, Spain
http://www.uned.es/ciencias-economicas-empresariales/
RePEc:edi:fcunees (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. López-Martín, Carmen & Arguedas-Sanz, Raquel & Muela, Sonia Benito, 2022. "A cryptocurrency empirical study focused on evaluating their distribution functions," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 387-407.

   Cited by:

   1. Peng‐Fei Dai & John W. Goodell & Luu Duc Toan Huynh & Zhifeng Liu & Shaen Corbet, 2023. "Understanding the transmission of crash risk between cryptocurrency and equity markets," The Financial Review, Eastern Finance Association, vol. 58(3), pages 539-573, August.
   2. Ke, Rui & Yang, Luyao & Tan, Changchun, 2022. "Forecasting tail risk for Bitcoin: A dynamic peak over threshold approach," Finance Research Letters, Elsevier, vol. 49(C).

2. Carmen López-Martín & Sonia Benito Muela & Raquel Arguedas, 2021. "Efficiency in cryptocurrency markets: new evidence," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 403-431, September.

   Cited by:

   1. Zhuhua Jiang & Walid Mensi & Seong-Min Yoon, 2023. "Risks in Major Cryptocurrency Markets: Modeling the Dual Long Memory Property and Structural Breaks," Sustainability, MDPI, vol. 15(3), pages 1-15, January.
   2. Assaf, Ata & Bhandari, Avishek & Charif, Husni & Demir, Ender, 2022. "Multivariate long memory structure in the cryptocurrency market: The impact of COVID-19," International Review of Financial Analysis, Elsevier, vol. 82(C).
   3. Mustafa Tevfik Kartal & Mustafa Kevser & Fatih Ayhan, 2023. "Asymmetric effects of global factors on return of cryptocurrencies by novel nonlinear quantile approaches," Economic Change and Restructuring, Springer, vol. 56(3), pages 1515-1535, June.
   4. Jessica Morales Herrera & Ra'ul Salgado-Garc'ia, 2023. "Trend patterns statistics for assessing irreversibility in cryptocurrencies: time-asymmetry versus inefficiency," Papers 2307.08612, arXiv.org.
   5. Burke, Matt & Fry, John & Kemp, Sean & Woodhouse, Drew, 2022. "Attention to Authority: The behavioural finance of Covid-19," Finance Research Letters, Elsevier, vol. 49(C).
   6. Marianna Brunetti & Roberta De Luca, 2023. "Pairs trading in the index options market," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 145-173, March.
   7. Łęt Blanka & Sobański Konrad & Świder Wojciech & Włosik Katarzyna, 2022. "Is the cryptocurrency market efficient? Evidence from an analysis of fundamental factors for Bitcoin and Ethereum," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 58(4), pages 351-370, December.
   8. Mingbo Zheng & Gen-Fu Feng & Xinxin Zhao & Chun-Ping Chang, 2023. "The transaction behavior of cryptocurrency and electricity consumption," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-18, December.
   9. López-Martín, Carmen & Arguedas-Sanz, Raquel & Muela, Sonia Benito, 2022. "A cryptocurrency empirical study focused on evaluating their distribution functions," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 387-407.
   10. Andrew Phiri, 2022. "Can wavelets produce a clearer picture of weak-form market efficiency in Bitcoin?," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 373-386, September.
   11. Zhang, Zehua & Zhao, Ran, 2023. "Good volatility, bad volatility, and the cross section of cryptocurrency returns," International Review of Financial Analysis, Elsevier, vol. 89(C).

3. Rodrigo Martín-García & Carmen López-Martín & Raquel Arguedas-Sanz, 2020. "Collaborative Learning Communities for Sustainable Employment through Visual Tools," Sustainability, MDPI, vol. 12(6), pages 1-19, March.

   Cited by:

   1. Moisès Esteban-Guitart & Pilar Monreal-Bosch & Montserrat Palma & Irene González-Ceballos, 2020. "Sustaining Students’ Identities within the Context of Participatory Culture. Designing, Implementing and Evaluating an Interactive Learning Activity," Sustainability, MDPI, vol. 12(12), pages 1-13, June.
   2. Chung Kwan Lo & Gaowei Chen, 2021. "Improving Experienced Mathematics Teachers’ Classroom Talk: A Visual Learning Analytics Approach to Professional Development," Sustainability, MDPI, vol. 13(15), pages 1-18, August.

4. Benito Muela, Sonia & López Martín, Carmen & Arguedas Sanz, Raquel, 2017. "An Application Of Extreme Value Theory In Estimating Liquidity Risk," European Research on Management and Business Economics (ERMBE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), vol. 23(3), pages 157-164.

   Cited by:

   1. Hanxiao Wang & Huizi Ma, 2022. "Optimal Investment Portfolios for Internet Money Funds Based on LSTM and La-VaR: Evidence from China," Mathematics, MDPI, vol. 10(16), pages 1-18, August.
   2. Al Janabi, Mazin A.M. & Ferrer, Román & Shahzad, Syed Jawad Hussain, 2019. "Liquidity-adjusted value-at-risk optimization of a multi-asset portfolio using a vine copula approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).

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Corrections

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