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Astrid Loretta Ayala

Personal Details

First Name:Astrid
Middle Name:Loretta
Last Name:Ayala
Suffix:
RePEc Short-ID:pay56
https://en.ufm.edu/catedraticos/astrid-loretta-ayala-castellanos/

Affiliation

Escuela de Negocios
Universidad Francisco Marroquín

Ciudad de Guatemala, Guatemala
http://en.ufm.edu.gt/
RePEc:edi:enufmgt (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Ayala, Astrid & Blazsek, Szabolcs & Escribano, Álvaro, 2019. "Maximum likelihood estimation of score-driven models with dynamic shape parameters : an application to Monte Carlo value-at-risk," UC3M Working papers. Economics 28638, Universidad Carlos III de Madrid. Departamento de Economía.
  2. Ayala, Astrid & Blazsek, Szabolcs & Escribano, Álvaro, 2019. "Score-driven time series models with dynamic shape : an application to the Standard & Poor's 500 index," UC3M Working papers. Economics 28133, Universidad Carlos III de Madrid. Departamento de Economía.
  3. Ayala, Astrid & Blazsek, Szabolcs & Escribano, Álvaro, 2017. "Dynamic conditional score models with time-varying location, scale and shape parameters," UC3M Working papers. Economics 25043, Universidad Carlos III de Madrid. Departamento de Economía.

Articles

  1. Astrid Loretta Ayala & Szabolcs Blazsek, 2021. "Score-driven panel data models of the capital structure of US firms," Applied Economics Letters, Taylor & Francis Journals, vol. 28(19), pages 1666-1670, November.
  2. Astrid Ayala & Szabolcs Blazsek, 2019. "Score-driven currency exchange rate seasonality as applied to the Guatemalan Quetzal/US Dollar," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(1), pages 65-92, March.
  3. Astrid Ayala & Szabolcs Blazsek, 2019. "Score-driven models of stochastic seasonality in location and scale: an application case study of the Indian rupee to USD exchange rate," Applied Economics, Taylor & Francis Journals, vol. 51(37), pages 4083-4103, August.
  4. Astrid Ayala & Szabolcs Blazsek, 2018. "Equity market neutral hedge funds and the stock market: an application of score-driven copula models," Applied Economics, Taylor & Francis Journals, vol. 50(37), pages 4005-4023, August.
  5. Astrid Ayala & Szabolcs Blazsek, 2018. "Score-driven copula models for portfolios of two risky assets," The European Journal of Finance, Taylor & Francis Journals, vol. 24(18), pages 1861-1884, December.
  6. Astrid Ayala & Szabolcs Blazsek & Juncal Cuñado & Luis Albériko Gil-Alana, 2016. "Regime-switching purchasing power parity in Latin America: Monte Carlo unit root tests with dynamic conditional score," Applied Economics, Taylor & Francis Journals, vol. 48(29), pages 2675-2696, June.
  7. Ayala, Astrid & Blazsek, Szabolcs, 2013. "Structural breaks in public finances in Central and Eastern European countries," Economic Systems, Elsevier, vol. 37(1), pages 45-60.
  8. Astrid Ayala & Juncal Cunado & Luis Alberiko Gil-Alana, 2013. "Real convergence: empirical evidence for Latin America," Applied Economics, Taylor & Francis Journals, vol. 45(22), pages 3220-3229, August.
  9. Astrid Ayala & Juncal Cuñado & Luis Albériko Gil-Alana, 2012. "Unemployment hysteresis: empirical evidence for Latin America," Journal of Applied Economics, Universidad del CEMA, vol. 15, pages 213-233, November.
  10. Astrid Ayala & Szabolcs Blazsek, 2012. "How has the financial crisis affected the fiscal convergence of Central and Eastern Europe to the Eurozone?," Applied Economics Letters, Taylor & Francis Journals, vol. 19(5), pages 471-476, March.
    RePEc:taf:apfiec:v:22:y:2012:i:20:p:1713-1717 is not listed on IDEAS

Chapters

  1. Astrid Ayala & Szabolcs Blazsek & Raúl B. González Paz, 2015. "Default Risk of Sovereign Debt in Central America," Palgrave Macmillan Books, in: Nigel Finch (ed.), Emerging Markets and Sovereign Risk, chapter 2, pages 18-44, Palgrave Macmillan.

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

  1. Ayala, Astrid & Blazsek, Szabolcs & Escribano, Álvaro, 2019. "Maximum likelihood estimation of score-driven models with dynamic shape parameters : an application to Monte Carlo value-at-risk," UC3M Working papers. Economics 28638, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Ayala Astrid & Blazsek Szabolcs & Escribano Alvaro, 2023. "Anticipating extreme losses using score-driven shape filters," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 27(4), pages 449-484, September.
    2. Blazsek, Szabolcs & Escribano, Álvaro & Licht, Adrian, 2019. "Markov-switching score-driven multivariate models: outlier-robust measurement of the relationships between world crude oil production and US industrial production," UC3M Working papers. Economics 29030, Universidad Carlos III de Madrid. Departamento de Economía.

  2. Ayala, Astrid & Blazsek, Szabolcs & Escribano, Álvaro, 2017. "Dynamic conditional score models with time-varying location, scale and shape parameters," UC3M Working papers. Economics 25043, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Astrid Ayala & Szabolcs Blazsek, 2019. "Score-driven currency exchange rate seasonality as applied to the Guatemalan Quetzal/US Dollar," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(1), pages 65-92, March.
    2. Blazsek, Szabolcs & Escribano, Álvaro & Licht, Adrian, 2018. "Seasonal Quasi-Vector Autoregressive Models with an Application to Crude Oil Production and Economic Activity in the United States and Canada," UC3M Working papers. Economics 27484, Universidad Carlos III de Madrid. Departamento de Economía.
    3. Blazsek, Szabolcs & Escribano, Álvaro & Licht, Adrian, 2018. "Seasonality Detection in Small Samples using Score-Driven Nonlinear Multivariate Dynamic Location Models," UC3M Working papers. Economics 27483, Universidad Carlos III de Madrid. Departamento de Economía.

Articles

  1. Astrid Ayala & Szabolcs Blazsek, 2019. "Score-driven currency exchange rate seasonality as applied to the Guatemalan Quetzal/US Dollar," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(1), pages 65-92, March.

    Cited by:

    1. Blazsek, Szabolcs & Escribano, Álvaro & Licht, Adrian, 2019. "Markov-switching score-driven multivariate models: outlier-robust measurement of the relationships between world crude oil production and US industrial production," UC3M Working papers. Economics 29030, Universidad Carlos III de Madrid. Departamento de Economía.
    2. Song, Shijia & Li, Handong, 2022. "Predicting VaR for China's stock market: A score-driven model based on normal inverse Gaussian distribution," International Review of Financial Analysis, Elsevier, vol. 82(C).
    3. Ayala, Astrid & Blazsek, Szabolcs & Escribano, Álvaro, 2019. "Score-driven time series models with dynamic shape : an application to the Standard & Poor's 500 index," UC3M Working papers. Economics 28133, Universidad Carlos III de Madrid. Departamento de Economía.

  2. Astrid Ayala & Szabolcs Blazsek, 2019. "Score-driven models of stochastic seasonality in location and scale: an application case study of the Indian rupee to USD exchange rate," Applied Economics, Taylor & Francis Journals, vol. 51(37), pages 4083-4103, August.

    Cited by:

    1. Song, Shijia & Li, Handong, 2023. "A method for predicting VaR by aggregating generalized distributions driven by the dynamic conditional score," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 203-214.
    2. Blazsek, Szabolcs & Escribano, Álvaro & Licht, Adrian, 2019. "Markov-switching score-driven multivariate models: outlier-robust measurement of the relationships between world crude oil production and US industrial production," UC3M Working papers. Economics 29030, Universidad Carlos III de Madrid. Departamento de Economía.
    3. Hang Lin & Lixin Liu & Zhengjun Zhang, 2023. "Tail Risk Signal Detection through a Novel EGB2 Option Pricing Model," Mathematics, MDPI, vol. 11(14), pages 1-32, July.
    4. Giuseppe Orlando & Michele Bufalo, 2021. "Empirical Evidences on the Interconnectedness between Sampling and Asset Returns’ Distributions," Risks, MDPI, vol. 9(5), pages 1-35, May.
    5. Sergio Contreras-Espinoza & Francisco Novoa-Muñoz & Szabolcs Blazsek & Pedro Vidal & Christian Caamaño-Carrillo, 2022. "COVID-19 Active Case Forecasts in Latin American Countries Using Score-Driven Models," Mathematics, MDPI, vol. 11(1), pages 1-17, December.
    6. Ayala, Astrid & Blazsek, Szabolcs & Escribano, Álvaro, 2019. "Score-driven time series models with dynamic shape : an application to the Standard & Poor's 500 index," UC3M Working papers. Economics 28133, Universidad Carlos III de Madrid. Departamento de Economía.

  3. Astrid Ayala & Szabolcs Blazsek, 2018. "Equity market neutral hedge funds and the stock market: an application of score-driven copula models," Applied Economics, Taylor & Francis Journals, vol. 50(37), pages 4005-4023, August.

    Cited by:

    1. Ayala, Astrid & Blazsek, Szabolcs & Escribano, Álvaro, 2019. "Score-driven time series models with dynamic shape : an application to the Standard & Poor's 500 index," UC3M Working papers. Economics 28133, Universidad Carlos III de Madrid. Departamento de Economía.
    2. Blazsek, Szabolcs & Escribano, Álvaro & Licht, Adrian, 2018. "Seasonality Detection in Small Samples using Score-Driven Nonlinear Multivariate Dynamic Location Models," UC3M Working papers. Economics 27483, Universidad Carlos III de Madrid. Departamento de Economía.

  4. Astrid Ayala & Szabolcs Blazsek, 2018. "Score-driven copula models for portfolios of two risky assets," The European Journal of Finance, Taylor & Francis Journals, vol. 24(18), pages 1861-1884, December.

    Cited by:

    1. Alanya-Beltran Willy, 2023. "Modelling volatility dependence with score copula models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 27(5), pages 649-668, December.
    2. Ayala, Astrid & Blazsek, Szabolcs & Escribano, Álvaro, 2019. "Score-driven time series models with dynamic shape : an application to the Standard & Poor's 500 index," UC3M Working papers. Economics 28133, Universidad Carlos III de Madrid. Departamento de Economía.
    3. Blazsek, Szabolcs & Escribano, Álvaro & Licht, Adrian, 2018. "Seasonality Detection in Small Samples using Score-Driven Nonlinear Multivariate Dynamic Location Models," UC3M Working papers. Economics 27483, Universidad Carlos III de Madrid. Departamento de Economía.

  5. Astrid Ayala & Juncal Cunado & Luis Alberiko Gil-Alana, 2013. "Real convergence: empirical evidence for Latin America," Applied Economics, Taylor & Francis Journals, vol. 45(22), pages 3220-3229, August.

    Cited by:

    1. Juan Manuel Aristizábal & Gustavo A. García, 2021. "Regional economic growth and convergence: The role of institutions and spillover effects in Colombia," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(4), pages 1146-1161, August.
    2. OlaOluwa S.Yaya & Pui Kiew Ling & Fumitaka Furuoka & Chinyere Mary Rose Ezeoke & Ray Ikechukwu Jacob, 2019. "Can West African countries catch up with Nigeria? Evidence from smooth nonlinearity method in fractional unit root framework," International Economics, CEPII research center, issue 158, pages 51-63.
    3. Christos Kollias & Petros Messis, 2020. "Are future enlargement candidate countries converging with the EU?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(3), pages 453-473, August.
    4. Ceylan, Reşat & Abiyev, Vasif, 2016. "An examination of convergence hypothesis for EU-15 countries," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 96-105.

  6. Astrid Ayala & Juncal Cuñado & Luis Albériko Gil-Alana, 2012. "Unemployment hysteresis: empirical evidence for Latin America," Journal of Applied Economics, Universidad del CEMA, vol. 15, pages 213-233, November.

    Cited by:

    1. Kurmaş Akdoğan, 2017. "Unemployment hysteresis and structural change in Europe," Empirical Economics, Springer, vol. 53(4), pages 1415-1440, December.
    2. Belke, Ansgar & Göcke, Matthias & Werner, Laura, 2014. "Hysteresis Effects in Economics – Different Methods for Describing Economic Path-dependence," Ruhr Economic Papers 468, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. Vuyo Pikoko & Andrew Phiri, 2018. "Is there hysteresis in South African unemployment? Evidence form the post-recessionary period," Working Papers 1803, Department of Economics, Nelson Mandela University, revised Jan 2018.
    4. Tolga Omay & Muhammad Shahbaz & Chris Stewart, 2021. "Is there really hysteresis in the OECD unemployment rates? New evidence using a Fourier panel unit root test," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(4), pages 875-901, November.
    5. Omay, Tolga & Shahbaz, Muhammad & Stewart, Chris, 2021. "Is There Really Hysteresis in OECD Countries’ Unemployment Rates? New Evidence Using a Fourier Panel Unit Root Test," MPRA Paper 107691, University Library of Munich, Germany, revised 10 May 2021.
    6. Agbeyegbe, Terence D., 2020. "Bayesian analysis of output gap in Barbados," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
    7. Dieu Nsenga & Mirada Nach & Hlalefang Khobai & Clement Moyo & Andrew Phiri, 2018. "Is it the natural rate or hysteresis hypothesis for unemployment in Newly Industrialized Economies?," Working Papers 1817, Department of Economics, Nelson Mandela University, revised Apr 2018.
    8. Marina Fados & Maria Bohdalova, 2017. "Gender Inequality in Unemployment by Age in Spain, Switzerland and the European Union," MIC 2017: Managing the Global Economy; Proceedings of the Joint International Conference, Monastier di Treviso, Italy, 24–27 May 2017,, University of Primorska Press.
    9. Nsenga, Dieu & Nach, Mirada & Khobai, Hlalefang & Moyo, Clement & Phiri, Andrew, 2018. "Is it the natural rate or hysteresis hypothesis for unemployment rates in Newly Industrialized Economies?," MPRA Paper 86274, University Library of Munich, Germany.
    10. Ebuh U. Godday & Nuruddeen Usman & Afees A. Salisu, 2022. "Testing for unemployment persistence in Nigeria," Economic Change and Restructuring, Springer, vol. 55(4), pages 2605-2630, November.

  7. Astrid Ayala & Szabolcs Blazsek, 2012. "How has the financial crisis affected the fiscal convergence of Central and Eastern Europe to the Eurozone?," Applied Economics Letters, Taylor & Francis Journals, vol. 19(5), pages 471-476, March.

    Cited by:

    1. Nikolay Nenovsky & Kiril Tochkov, 2013. "The Distribution Dynamics of Income in Central and Eastern Europe relative to the EU: A Nonparametric Analysis," William Davidson Institute Working Papers Series wp1063, William Davidson Institute at the University of Michigan.

Chapters

    Sorry, no citations of chapters recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

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-ECM: Econometrics (3) 2017-08-06 2019-03-11 2019-07-29
  2. NEP-ETS: Econometric Time Series (2) 2019-03-11 2019-07-29
  3. NEP-RMG: Risk Management (2) 2019-03-11 2019-07-29
  4. NEP-ORE: Operations Research (1) 2019-07-29

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