Results 111 to 120 of about 3,916 (205)

Modelos de aprendizaje automático y de volatilidad condicional en la predicción de la volatilidad del Índice S&P/BVL Peru General

open access: yesQuipukamayoc
Objetivo: Evaluar la eficacia de los modelos de aprendizaje profundo y sus extensiones con los modelos de volatilidad condicional en la predicción de la volatilidad del Índice S&P/BVL Peru General.
Abraham Puente De La Vega Caceres
doaj   +1 more source

The Forecasting Ability of GARCH Models for the 2003–07 Crisis: Evidence from S&P500 Index Volatility

open access: yesThe Lahore Journal of Business, 2012
This article studies the ability of the GARCH family of models to accurately forecast the volatility of S&P500 stock index returns across the financial crisis that affected markets in 2003–07.
Mahreen Mahmud
doaj  

Evaluating exponential GARCH models [PDF]

open access: yes
In this paper, a unified framework for testing the adequancy of an estimated EGARCH model is presented. The tests are Lagrange multiplier or Lagrange multiplier type tests and include testing an EGARCH model against a higher-order one and testing ...
Malmsten, Hans
core  

Dynamic Returns Linkages and Volatility Transmission between South African and World Major Stock Markets [PDF]

open access: yes
This paper analyses returns and volatility linkages between the South African (SA) equity market and the world major equity markets using daily data for the period 199-2007. Also analysed is the nature of volatility, the long term trend of volatility and
M.J. Aziakpono, Z. Chinzara
core   +1 more source

Do commodity assets hedge uncertainties? What we learn from the recent turbulence period? [PDF]

open access: yesAnn Oper Res, 2022
Hasan MB   +4 more
europepmc   +1 more source

News Arrival, Jump Dynamics and Volatility Components for Individual Stock Returns [PDF]

open access: yes
This paper models different components of the return distribution which are assumed to be directed by a latent news process. The conditional variance of returns is a combination of jumps and smoothly changing components.
John M. Maheu, Thomas H. McCurdy
core  

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