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
https://www.uned.es/universidad/facultades/economicas-empresariales.html
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. Rico-Peña, Juan Jesús & Arguedas-Sanz, Raquel & López-Martin, Carmen, 2023. "Models used to characterise blockchain features. A systematic literature review and bibliometric analysis," Technovation, Elsevier, vol. 123(C).

   Cited by:

   1. Li, Zhaochen & Xu, Zimu, 2025. "Digital technology and innovation:The impact of blockchain application on enterprise innovation," Technovation, Elsevier, vol. 139(C).
   2. Gilmour, Paul & Pandey, Durgesh & Goldbarsht, Doron, 2025. "Registers of beneficial owners based on blockchain technology: Implications for the accounting profession," Technological Forecasting and Social Change, Elsevier, vol. 214(C).
   3. Zhang, Ying & Gong, Bing & Zhou, Peng, 2024. "Centralized use of decentralized technology: Tokenization of currencies and assets," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 15-25.
      • Zhang, Ying & Gong, Bing & Zhou, Peng, 2024. "Centralized Use of Decentralized Technology: Tokenization of Currencies and Assets," Cardiff Economics Working Papers E2024/14, Cardiff University, Cardiff Business School, Economics Section.
   4. Achraf Yahia & Yassine Mouhssine & Abdelkader El Alaoui & Said Ouatik El Alaoui, 2026. "Exploring the role of Artificial Intelligence in Cryptocurrency Evolution: A Systematic Review and Bibliometric Analysis at the Intersection," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 17(2), pages 5600-5647, April.
   5. Azhar Mohamad, 2025. "Do Bitcoin ETFs Lead Price Discovery Following their Introduction in the Bitcoin Market?," Computational Economics, Springer;Society for Computational Economics, vol. 66(1), pages 947-969, July.
   6. Mahima Habil & Saransh Kumar Srivastav & Pooja Thakur, 2024. "Mapping the landscape of blockchain technology: a bibliometric analysis," Journal of Computational Social Science, Springer, vol. 7(2), pages 1533-1553, October.
   7. Liu, Yue & Xin, Baogui & Xie, Lei, 2025. "Strategic NFT adoption to combat digital piracy," Technovation, Elsevier, vol. 141(C).
   8. Juan Jesús Rico-Peña & Raquel Arguedas-Sanz & Carmen López-Martín, 2025. "Transactions Market in Bitcoin: Empirical Analysis of the Demand and Supply Block Space Curves," Computational Economics, Springer;Society for Computational Economics, vol. 66(4), pages 3327-3357, October.

2. Daniel Ramos-García & Carmen López-Martín & Raquel Arguedas-Sanz, 2023. "Climate transition risk in determining credit risk: evidence from firms listed on the STOXX Europe 600 index," Empirical Economics, Springer, vol. 65(5), pages 2091-2114, November.

   Cited by:

   1. Le Thanh Ha, 2025. "Deploying green macroprudential policies to promote environmental health: new findings from panel VAR for international database," Environment Systems and Decisions, Springer, vol. 45(3), pages 1-21, September.
   2. Di Febo, Elisa & Angelini, Eliana & Le, Tu, 2026. "Climate-related risks and loan quality in Europe: Do institutional quality, environmental commitment, and bank size matter?," Research in International Business and Finance, Elsevier, vol. 81(C).

3. 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. Jeremy Eng-Tuck Cheah & Thong Dao & Haozhe Su, 2024. "Measuring cryptocurrency moment convergence using distance analysis," Annals of Operations Research, Springer, vol. 332(1), pages 533-577, January.
   2. Mo, Bin & Chen, Jiaru & Shi, Qinling & Zeng, Zichun, 2025. "Cryptocurrencies as safe havens for geopolitical risk? A quantile analysis approach," The North American Journal of Economics and Finance, Elsevier, vol. 79(C).
   3. Jaroonchokanan, Nawee & Sinha, Amit & Suwanna, Sujin, 2025. "Dynamics of network structure in cryptocurrency markets during abrupt changes in Bitcoin price," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 661(C).
   4. A. Jagdish Mohan Rao & K. G. K. Patnaik & P. Srinivas & M. V. K. Srinivas Rao & A. V. N. Murty, 2026. "Cryptocurrency investments: an empirical analysis of risk and return trends in the contemporary financial landscape," Quality & Quantity: International Journal of Methodology, Springer, vol. 60(1), pages 1923-1949, February.
   5. 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).
   6. Andreas Eberl & Bernhard Klar, 2025. "Measures of kurtosis: inadmissible for asymmetric distributions?," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 88(3), pages 365-391, April.
   7. 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.
   8. Andreas Eberl & Bernhard Klar, 2024. "Centre-free kurtosis orderings for asymmetric distributions," Statistical Papers, Springer, vol. 65(1), pages 415-433, February.
   9. Alessio Brini & Jimmie Lenz, 2024. "A Comparison of Cryptocurrency Volatility-benchmarking New and Mature Asset Classes," Papers 2404.04962, arXiv.org.

4. 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. Efstathios Polyzos & Ghulame Rubbaniy & Mieszko Mazur, 2024. "Efficient Market Hypothesis on the blockchain: A social‐media‐based index for cryptocurrency efficiency," The Financial Review, Eastern Finance Association, vol. 59(3), pages 807-829, August.
   2. 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.
   3. 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.
   4. Dominik Stempie'n & Robert 'Slepaczuk, 2025. "Hybrid Models for Financial Forecasting: Combining Econometric, Machine Learning, and Deep Learning Models," Papers 2505.19617, arXiv.org.
   5. Hoang, Lai & Vo, Duc Hong, 2024. "Google search and cross-section of cryptocurrency returns and trading activities," Journal of Behavioral and Experimental Finance, Elsevier, vol. 44(C).
   6. 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.
   7. 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.
      • Marianna Brunetti & Roberta Luca, 2023. "Correction to: Pairs trading in the index options market," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 175-176, March.
      • Marianna Brunetti & Roberta De Luca, 2021. "Pairs Trading In The Index Options Market," CEIS Research Paper 512, Tor Vergata University, CEIS, revised 02 Sep 2021.
   8. Tomas Pečiulis & Nisar Ahmad & Angeliki N. Menegaki & Aqsa Bibi, 2024. "Forecasting of cryptocurrencies: Mapping trends, influential sources, and research themes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 1880-1901, September.
   9. 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).
   10. Ansa Sikandar & Fareeha Ijaz & Saif Ur Raman & Sadia Idress, 2024. "A Bibliometric and Content Analysis of Cryptocurrency," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(2), pages 1213-1225.
   11. 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).
   12. 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).
   13. Dominik Stempie'n & Janusz Gajda, 2025. "Comparative analysis of financial data differentiation techniques using LSTM neural network," Papers 2505.19243, arXiv.org.
   14. Bui, Huy Quoc & Schinckus, Christophe & Al-Jaifi, Hamdan, 2025. "Long-range correlations in cryptocurrency markets: A multi-scale DFA approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 661(C).
   15. 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.
   16. Karasiński Jacek, 2023. "The adaptive market hypothesis and the return predictability in the cryptocurrency markets," Economics and Business Review, Sciendo, vol. 9(1), pages 94-118, April.
   17. 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.
   18. 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.
   19. José Almeida & Tiago Cruz Gonçalves, 2024. "Cryptocurrency market microstructure: a systematic literature review," Annals of Operations Research, Springer, vol. 332(1), pages 1035-1068, January.
   20. 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.
   21. Li, Shuyue & Yarovaya, Larisa & Mishra, Tapas, 2025. "Machine learning, memory and efficiency in cryptocurrency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 105(C).

5. 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. Jean Hoo Fang Jing & Nurhamizah Ishak & Aqilah Arshad & Haniza Sarijari & Shahira Adam, 2025. "Assessing The Impact of Effective Team Collaboration on Individual Outcomes in Collaborative Presentation," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(4), pages 1151-1160, April.
   3. 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.

6. 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. 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).
   2. Saji Thazhungal Govindan Nair, 2021. "On extreme value theory in the presence of technical trend: pre and post Covid-19 analysis of cryptocurrency markets," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 14(4), pages 533-561, December.
   3. 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.

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