ASTRID LORETTA AYALA CASTELLANOS

About ASTRID LORETTA AYALA CASTELLANOS

ASTRID LORETTA AYALA CASTELLANOS, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Universidad Francisco Marroquín, specializes in the field of economics, finance, econometrics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Signal smoothing for score-driven models: a linear approach

Core inflation rate for China and the ASEAN-10 countries: Smoothed signal for score-driven local level plus scale models

Anticipating extreme losses using score-driven shape filters

Score function scaling for QAR plus Beta-t-EGARCH: an empirical application to the S&P 500

Comparison of score-driven equity-gold portfolios during the COVID-19 pandemic using model confidence sets

Volatility forecasting using quasi-score-driven models with an application to the coronavirus pandemic period

Score-driven equity plus gold portfolios before and during the COVID-19 pandemic

Score-driven stochastic seasonality of the Russian rouble: an application case study for the period of 1999 to 2020

ASTRID LORETTA AYALA CASTELLANOS Information

University

Position

Professor

Citations(all)

201

Citations(since 2020)

130

Cited By

110

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

ASTRID LORETTA AYALA CASTELLANOS Skills & Research Interests

economics

finance

econometrics

Top articles of ASTRID LORETTA AYALA CASTELLANOS

Title

Journal

Author(s)

Publication Date

Signal smoothing for score-driven models: a linear approach

Communications in Statistics-Simulation and Computation

Szabolcs Blazsek

Astrid Ayala

Adrian Licht

2024/2/1

Core inflation rate for China and the ASEAN-10 countries: Smoothed signal for score-driven local level plus scale models

Studies in Nonlinear Dynamics & Econometrics

Szabolcs Blazsek

Adrian Licht

Astrid Ayala

Su-Ping Liu

2024/1/1

Anticipating extreme losses using score-driven shape filters

Studies in Nonlinear Dynamics & Econometrics

Astrid Ayala

Szabolcs Blazsek

Alvaro Escribano

2023/9/28

Score function scaling for QAR plus Beta-t-EGARCH: an empirical application to the S&P 500

Applied Economics

Astrid Loretta Ayala

Szabolcs Blazsek

Adrian Licht

2023/5/8

Comparison of score-driven equity-gold portfolios during the COVID-19 pandemic using model confidence sets

Studies in Nonlinear Dynamics & Econometrics

Astrid Ayala

Szabolcs Blazsek

Adrian Licht

2023/12/22

Volatility forecasting using quasi-score-driven models with an application to the coronavirus pandemic period

Studies in Nonlinear Dynamics & Econometrics

Astrid Ayala

Szabolcs Blazsek

Adrian Licht

2023/12/1

Score-driven equity plus gold portfolios before and during the COVID-19 pandemic

Astrid Ayala

Szabolcs Blazsek

Adrian Licht

2022/1/1

Score-driven stochastic seasonality of the Russian rouble: an application case study for the period of 1999 to 2020

Empirical Economics

Astrid Ayala

Szabolcs Blazsek

Adrian Licht

2022/5

Optimal Choice of the Scaling Parameters in Score-Driven Filters

Szabolcs Blazsek

Astrid Loretta Ayala

Adrian Licht

2022/3/31

A short note on the scaling parameter in score-driven filters

Astrid Ayala

Szabolcs Blazsek

Adrian Licht

2022/3/12

Score-driven panel data models of the capital structure of US firms

Applied Economics Letters

Astrid Loretta Ayala

Szabolcs Blazsek

2021/11/11

Volatility forecasting for the coronavirus pandemic using quasi-score-driven models

Astrid Ayala

Szabolcs Blazsek

Adrian Licht

2021/1/25

Dynamic analysis of the capital structure of S&P 500 firms under unconventional monetary policy using score-driven panel data models

Astrid Ayala

Szabolcs Blazsek

2020/5/28

See List of Professors in ASTRID LORETTA AYALA CASTELLANOS University(Universidad Francisco Marroquín)