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)

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, 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 & 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, 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. Blazsek, Szabolcs & 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.
   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. Blazsek, Szabolcs & 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. 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).
   2. Aknouche, Abdelhakim & Almohaimeed, Bader & Dimitrakopoulos, Stefanos, 2024. "Noising the GARCH volatility: A random coefficient GARCH model," MPRA Paper 120456, University Library of Munich, Germany, revised 15 Mar 2024.
   3. Ayala, Astrid & Blazsek, Szabolcs, 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.
   4. Blazsek, Szabolcs & 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. 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. 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.
   2. Ayala, Astrid & Blazsek, Szabolcs, 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 & 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.
   4. 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.
   5. 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.
   6. 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.

3. 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, 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 & 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. "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, 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 & 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. 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.
   2. 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.
   3. 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.
   4. Yaya, OlaOluwa S. & Ling, Pui Kiew & Furuoka, Fumitaka & Rose Ezeoke, Chinyere Mary & Jacob, Ray Ikechukwu, 2019. "Can West African countries catch up with Nigeria? Evidence from smooth nonlinearity method in fractional unit root framework," International Economics, Elsevier, vol. 158(C), pages 51-63.
      • 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.

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.
   • Astrid Ayala & Juncal Cuñado & Luis Albériko Gil-Alana, 2012. "Unemployment Hysteresis: Empirical Evidence for Latin America," Journal of Applied Economics, Taylor & Francis Journals, vol. 15(2), pages 213-233, November.

   Cited by:

   1. 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.
   2. 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.
   3. Kurmaş Akdoğan, 2017. "Unemployment hysteresis and structural change in Europe," Empirical Economics, Springer, vol. 53(4), pages 1415-1440, December.
      • Kurmas Akdogan, 2016. "Unemployment Hysteresis and Structural Change in Europe," Working Papers 1618, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
   4. 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.
   5. Agbeyegbe, Terence D., 2020. "Bayesian analysis of output gap in Barbados," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
   6. 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.
   7. 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.
   8. 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.
   9. Vuyokazi Pikoko & Andrew Phiri, 2019. "Is There Hysteresis in South African Unemployment? Evidence from the Post-Recessionary Period," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 15(3), pages 365-387, JUNE.
      • 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.
      • Pikoko, Vuyokazi & Phiri, Andrew, 2018. "Is there hysteresis in South African unemployment? Evidence from the post-recessionary period," MPRA Paper 83962, 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.
   2. Athanasios Anastasiou & Nicholas Apergis & Athina Zervoyianni, 2024. "Convergence of public expenditures and revenues in EU28 during 2002–2019: Evidence from club‐clustering analysis before and after the European debt crisis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1856-1876, April.

Chapters

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More information

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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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