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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)

Research output

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Jump to: Articles Chapters

Articles

  1. González-Sánchez, Mariano & Arguedas Sanz, Raquel & Segovia San Juan, Ana I., 2024. "The extreme temperature factor in asset pricing models: Evidence from Europe," Finance Research Letters, Elsevier, vol. 66(C).
  2. 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).
  3. 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.
  4. Oscar Javier Varas-Fuente & Raquel Arguedas-Sanz & Beatriz Rodrigo-Moya, 2022. "Internationalisation and performance in family businesses: influence of the internationalisation path followed," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 46(2), pages 185-209.
  5. Oscar Javier Varas-Fuente & Raquel Arguedas-Sanz & Beatriz Rodrigo-Moya, 2022. "Analysis of the Influence of the Moment the Internationalization Process Begins on the Internationalization Intensity of Family and Nonfamily Businesses: An Approach Using a Tobit Model," Administrative Sciences, MDPI, vol. 12(4), pages 1-14, October.
  6. 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.
  7. 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.
  8. Martín García, Rodrigo & Ventura Pérez, Enrique & Arguedas Sanz, Raquel, 2020. "Temporal optimisation of signals emitted automatically by securities exchange indicators," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
  9. 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.
  10. 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.

Chapters

  1. Adrián Mendieta-Aragón & Raquel Arguedas-Sanz, 2024. "Proximity Tourism in the New Normal: Toward a More Sustainable Tourism Behavior in Spain," Springer Books, in: Shem Wambugu Maingi & Vanessa GB Gowreesunkar & Maximiliano E Korstanje (ed.), Tourist Behaviour and the New Normal, Volume II, chapter 14, pages 261-279, Springer.

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. 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.
    2. 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.

  2. 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).
    3. Alessio Brini & Jimmie Lenz, 2024. "A Comparison of Cryptocurrency Volatility-benchmarking New and Mature Asset Classes," Papers 2404.04962, arXiv.org.

  3. 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. 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.
    6. 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).
    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. 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. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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).

  4. 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.

  5. 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. 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.
    2. 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.
    3. 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).

Chapters

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