Results 71 to 80 of about 5,743 (206)

PERBANDINGAN METODE EGARCH, JARINGAN SYARAF TIRUAN DAN NEURO-EGARCH UNTUK PERAMALAN DATA SAHAM : Studi Kasus Harga Saham Astra Internasional Tbk. [PDF]

open access: yes, 2014
Saham adalah tanda penyertaan modal seseorang atau pihak dalam suatu perseroan terbatas. Data saham sering kali mengalami fluktuasi yang tidak menentu.
Manullang, Kristin
core  

Markov regime-switching Beta-t-EGARCH

open access: yes, 2017
We suggest a Markov regime-switching (MS) Beta-t-EGARCH (exponential generalized autoregressive conditional heteroscedasticity) model for U.S. stock returns.
Ho, Han Chiang   +3 more
core   +1 more source

Complex Network Built From Stock Price Returns and Volumes to Predict Market Volatility and Volume

open access: yesComplexity, Volume 2026, Issue 1, 2026.
This study investigates if network features from stock return and trading volume correlations can improve one‐month‐ahead forecasts of Vietnam’s VNIndex volatility and volume (2018–2024). We construct dynamic financial networks using Threshold, Top‐k, and minimum spanning tree (MST) filtering methods, calculating metrics like density, centrality, and ...
N-K-K. Nguyen   +3 more
wiley   +1 more source

Asymmetric International Transmission in the Conditional Mean and Volatility to the Japanese Market from the U.S.:EGARCH vs. SV Models [PDF]

open access: yes
This paper investigates whether the upturns and downturns of the U.S. market exert asymmetric influence on the conditional mean and volatility of the Japanese market using the daily returns on stock price indices.
Tatsuyoshi Miyakoshi   +2 more
core  

Analyzing Cryptocurrency Volatility: An EGARCH Model

open access: yesPanorama Económico
The aim of this article is to examine the reasons why cryptocurrency volatility hinders its potential to replace fiat money as legal tender. We focus on Bitcoin and Ethereum for this analysis. By applying an augmented Dickey-Fuller stationarity test, we demonstrate that cryptocurrencies lack a long-term trend; instead, their movement is erratic and ...
Guillermo Arroyo Jiménez   +1 more
openaire   +1 more source

Stock Return, Volume and Volatility in the EGARCH model

open access: yesJournal of Insurance and Finance, 2020
I use EGARCH model to study the asymmetric impact of negative and positive shocks on stock return volatility. I find the asymmetric effects exist and the impact on volatility of a negative shock is greater than that of a positive shock. Furthermore, I examine the dynamic relationship between returns, volume and volatility of stock index by introducing ...
openaire   +1 more source

Examining Oil Prices for Chaos, Entropy, Fractionality and Complexity, and Modeling the Impacts of Economic Policy Uncertainty and Geopolitical Risks: GARCH–MIDAS–LSTM Approach

open access: yesInternational Journal of Energy Research, Volume 2026, Issue 1, 2026.
As the leading energy source, oil price volatility has crucial effects in energy markets, and geopolitical risks (GPRs) and economic policy uncertainties contribute to its volatility. Further, chaos, long‐range dependence, fractionality, and complexity significantly reduce modeling and forecast performances.
Özgür Ömer Ersin   +2 more
wiley   +1 more source

Does Internet access to official data display any regularity: case of the Electronic Data Delivery System of the Central Bank of Turkey [PDF]

open access: yes
1990s were the years of enormous growth of information exchange. Rapid development, augmented coverage and wide accessibility of Internet have been the key factors of that amazing growth.
Tokel, Omer Emre, Yucel, Eray M.
core  

VOLATILITY ANALYSIS USING THE EGARCH METHOD: CASE STUDY OF BBCA, BMRI, BRIS

open access: yesAssets: Jurnal Akuntansi dan Pendidikan
This 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
doaj   +1 more source

VARMA-EGARCH Model for Air-Quality Analyses and Application in Southern Taiwan

open access: yesAtmosphere, 2020
This study adopted the Exponential Generalized Autoregressive Conditional Heteroscedasticity (EGARCH) model to analyze seven air pollutants (or the seven variables in this study) from ten air quality monitoring stations in the Kaohsiung–Pingtung Air ...
Edward Ming-Yang Wu, Shu-Lung Kuo
doaj   +1 more source

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