Results 81 to 90 of about 11,262 (157)
Tail risk forecasting using Bayesian realized EGARCH models
, 2020 This paper develops a Bayesian framework for the realized exponential generalized autoregressive conditional heteroskedasticity (realized EGARCH) model, which can incorporate multiple realized volatility measures for the modelling of a return series. The realized EGARCH model is extended by adopting a standardized Student-t and a standardized skewed ...
Tendenan, Vica +2 more
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VOLATILITY ANALYSIS USING THE EGARCH METHOD: CASE STUDY OF BBCA, BMRI, BRIS
Assets: Jurnal Akuntansi dan PendidikanThis study aimed to test the volatility model of BBCA and BMRI stocks on the IDX. The research problem is whether there is an influence of BBCA and LQ45 volatility on BMRI and vice versa.
Suhendro Suhendro, Purnama Siddi
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Improving Value-at-Risk Estimation from the Normal EGARCH Model
Contemporary Economics, 2017 Returns in financial assets display consistent excess kurtosis and skewness, implying the presence of large fluctuations not forecasted by Gaussian models. This paper applies a resampling method based on the bootstrap and a bias-correction step to improve Value-at-Risk (VaR) forecasting ability of the n-EGARCH (normal EGARCH) model and correct the VaR ...
Gorji, Mahsa, Sajjad, Rasoul
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"Risk Management for International Tourist Arrivals: An Application to the Balearic Islands, Spain" [PDF]
Spain is a leader in terms of total international tourist arrivals and receipts. The Balearic Islands are one of the most popular destinations in Spain. For tourism management and marketing, it is essential to forecast tourist arrivals accurately.
Ana Bartolome +3 more
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Modeling and Forecasting Volatility of the Malaysian and the Singaporean stock indices using Asymmetric GARCH models and Non-normal Densities [PDF]
This paper examines and estimate the three GARCH(1,1) models (GARCH, EGARCH and GJR-GARCH) using the daily price data. Two Asian stock indices KLCI and STI are studied using daily data over a 14-years period.
Abu Hassan, Ahmed Shamiri
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Trends and Volatilities in Heterogeneous Patent Quality in Taiwan
Journal of Technology Management & Innovation, 2009 This study analyzes patent trends and volatilities for three heterogeneous quality patents in the Taiwan patent system from January 1973 to June 2006. The estimated models are symmetric GARCH and asymmetric EGARCH, providing full sample, rolling sample ...
Wen-Cheng Lu +2 more
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Modelos ARCH, GARCH y EGARCH: aplicaciones a series financieras
Cuadernos de Economía, 2008 En este artículo se incluye una descripción de los modelos<br />ARCH, GARCH y EGARCH, y de los procesos de estimación de sus<br />parámetros usando máxima verosimilitud. Se propone un modelo<br />alternativo para el análisis de series financieras y se estudian<br />las series de precios y de retornos de las acciones de<br ...
Casas Monsegny, Marta +1 more
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Value-at-Risk on Central and Eastern European Stock Markets: An Empirical Investigation Using GARCH Models [PDF]
Using daily return data from the four major Central and Eastern European stock markets including fourteen highly liquid stocks and ATX (Vienna), PX (Prague), BUX (Budapest), and WIG20 (Warsaw) market indices, we model the value-at-risk using a set of ...
Vít Bubák
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International Journal of Financial StudiesVolatility modelling is a key feature of financial risk management, portfolio optimisation, and forecasting, particularly for market indices such as the JSE Top40 Index, which serves as a benchmark for the South African stock market.
Israel Maingo +2 more
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Cogent Economics & Finance, 2016 This paper empirically compares the usefulness of information included in the volatility index (VIX) against several generalized autoregressive conditional heteroskedasticity (GARCH) models for predicting downside risk in the US stock market.
Chikashi Tsuji
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