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Rodrigo Sebastian Herrera Leiva

Profesor Asociado

UNIVERSIDAD DE TALCA

Talca, Chile

Líneas de Investigación


quantitative risk management, finance, forecasting, energy economics, extreme value theory.

Educación

  •  Economia, DRESDEN UNIVERSITY OF TECHNOLOGY. Alemania, 2009
  •  Ingeniería Civil Industrial, UNIVERSIDAD DE TALCA. Chile, 2002

Experiencia Académica

  •   Posdoc Full Time

    DRESDEN UNIVERSITY OF TECHNOLOGY

    Economia

    Dresden, Alemania

    2009 - 2010

  •   Profesor Conferenciante Full Time

    UNIVERSIDAD DE TALCA

    Ingeniería

    Curicó, Chile

    2010 - 2010

  •   Profesor Asistente Full Time

    UNIVERSIDAD DE TALCA

    Ingeniería

    Curicó, Chile

    2011 - 2013

  •   Profesor Asistente Full Time

    UNIVERSIDAD DE TALCA

    Economía y Negocios

    Talca, Chile

    2014 - 2015

  •   Profesor Asociado Full Time

    UNIVERSIDAD DE TALCA

    Economía y Negocios

    Talca, Chile

    2015 - A la fecha

Experiencia Profesional

  •   Director Other

    Universidad de Talca, Centro de Investigación en Economía Aplicada

    Talca, Chile

    2015 - 2018

  •   Director Magister en Economía Other

    Universidad de Talca

    Talca, Chile

    2015 - 2018

  •   Decano Facultad de Economía y Negocios Full Time

    Universidad de Talca

    Talca, Chile

    2018 - A la fecha

Formación de Capital Humano


Magister en Economía

Michael Gaete, Diversification benefits of commodities in portfolio allocation: A dynamic factor copula approach, 2018
Tamara Perez, An approach to predict the future Spot price with Dynamic Conditional Beta, 2018
Erik Muñoz, Effect of oil prices on airline losses: A Conditional Intensity Approach, 2017
Stella Moisan, Dynamic Multiple Equation Approach for PM2.5 Forecasting in Santiago, Chile, 2017

Magister en Gestión de Operaciones

Fernanda Fuentes, Quantifying the Impact of Extreme Events on Commodity Currencies, 2015
Sergio González, Comovements between OECD Stock and Oil Markets: A Conditional Intensity Extreme Value Approach. 2015
Felipe Urrutia, Planificación de la Producción con Modelos Jerárquicos e Incerteza asociada a los Proveedores, 2014
Waleska Lagos, Modelamiento del Valor en Riesgo a través de la Teoría de Valores Extremos y Procesos Puntuales tipo Shot Noise, 2013
Lilian Gudiño, Análisis de parámetros técnicos y económicos a través de un estudio de series de tiempo. Con aplicación a la industria porcina, 2013
Nicolás González, Modelos Autorregresivos Condicionales de duración y Teoría deValores extremos, 2013



 

Article (17)

A marked point process model for intraday financial returns: modeling extreme risk
A non-parametric statistic for testing conditional heteroscedasticity for unobserved component models
Multivariate dynamic intensity peaks-over-threshold models
Network analysis: a novel approach to identify PM2.5 hotspots and their spatio-temporal impact on air quality in Santiago de Chile
Geographical spillovers on the relation between risk-taking and market power in the US banking sector
A dynamic multiple equation approach for forecasting PM2.5 pollution in Santiago, Chile
Modeling extreme risks in commodities and commodity currencies
Mutual excitation between OECD stock and oil markets: A conditional intensity extreme value approach
Point process models for extreme returns: Harnessing implied volatility
Modeling and forecasting extreme commodity prices: A Markov-Switching based extreme value model
Modelling interregional links in electricity price spikes
Statistics of extreme events in risk management: The impact of the subprime and global financial crisis on the German stock market
The modeling and forecasting of extreme events in electricity spot markets
Volatility Contagion in the Asian Crisis: New Evidence of Volatility Tail Dependence
Energy risk management through self-exciting marked point process
Value at risk forecasts by extreme value models in a conditional duration framework
Extreme dependence with asymmetric thresholds: Evidence for the European Monetary Union

BookSection (1)

Self-exciting Extreme Value Models for Stock Market Crashes

ConferencePaper (1)

Are crude oil and natural gas extreme prices interdependent?

Proyecto (6)

Modeling high-dimensional and highfrequency extreme events in financial markets=> Incorporating trading activity, liquidity measures and news flow
Extreme Financial Risk=> A Multivariate Conditional Framework of Extreme Events
Advanced extremal models for Risk Modeling under Basel II
Extreme value theory with Application in Risk Management and Crisis Contagion
Multivariate models of extreme value theory with Applications in Risk Management
Engineering Systems for Preparing and Making Decisions under Multiple Criteria
19
Rodrigo Herrera

Profesor Asociado

Escuela de Ingeniería Comercial

UNIVERSIDAD DE TALCA

Talca, Chile

3
Gabriel Pino

Assistant Professor

UNIVERSIDAD DE TALCA

Chile

1
Alejandro Rodriguez

Profesor Asistente

Departamento de Ingeniería Industrial

Universidad de Talca

Curicó, Chile