Results 11 to 20 of about 3,891 (206)

برآورد ریسک سیستمی نظام بانکی با استفاده از سنجه های MES و CoVaR [PDF]

open access: yesراهبرد مدیریت مالی, 2020
هدف این مقاله برآورد ریسک سیستمی نظام بانکی کشور، ارزیابی تأثیر بحران بانکی بر کل اقتصاد و استخراج سهم نظام بانکی در ریسک سیستمی با استفاده از سنجه های مختلف در قالب یک تحلیل مقایسه‌ای است.
عبدالرضا شاکری   +2 more
doaj   +1 more source

On the stationarity of Dynamic Conditional Correlation models [PDF]

open access: yes, 2016
We provide conditions for the existence and the unicity of strictly stationary solutions of the usual Dynamic Conditional Correlation GARCH models (DCC-GARCH).
Fermanian, Jean-David, Malongo, Hassan
core   +1 more source

VOLATILITY SPILLOVER BETWEEN BIST 30 FUTURES AND SPOT MARKETS: A DCC-GARCH ANALYSES

open access: yesYönetim Bilimleri Dergisi, 2022
In terms of investors, it is essential to be aware of the flow of information across markets and build up investment policies in line with this information. The volatility spillover relationships between futures and spot markets contain important information in the context of optimal portfolio composing. In this study, the relevant relationship between
Esen KARA, Adem ANBAR, Özer ARABACI
openaire   +4 more sources

A Tail Dependence-Based MST and Their Topological Indicators in Modeling Systemic Risk in the European Insurance Sector

open access: yesRisks, 2020
In the present work, we analyze the dynamics of indirect connections between insurance companies that result from market price channels. In our analysis, we assume that the stock quotations of insurance companies reflect market sentiments, which ...
Anna Denkowska, Stanisław Wanat
doaj   +1 more source

Volatility Co-Movement between Bitcoin and Stablecoins: BEKK–GARCH and Copula–DCC–GARCH Approaches

open access: yesAxioms, 2022
This paper aims to investigate and measure Bitcoin and the five largest stablecoin market volatilities by incorporating various range-based volatility estimators to the BEKK- GARCH and Copula-DCC-GARCH models.
Kuo-Shing Chen, Shen-Ho Chang
doaj   +1 more source

Which Commodity Sectors Effectively Hedge Emerging Eastern European Stock Markets? Evidence from MGARCH Models

open access: yesCommodities, 2023
This study aims at examining whether hedging emerging Eastern Europe stock markets with commodities sectors can help in reducing market risks and whether it has the same effectiveness among different sectors.
Amel Melki, Ahmed Ghorbel
doaj   +1 more source

Volatility impulse response analysis for DCC‐GARCH models: The role of volatility transmission mechanisms [PDF]

open access: yesJournal of Forecasting, 2020
AbstractThis study introduces volatility impulse response functions (VIRF) for dynamic conditional correlation–generalized autoregressive conditional heteroskedasticity (DCC‐GARCH) models. In addition, the implications with respect to network analysis—using the connectedness approach of Diebold and Y lmaz (Journal of Econometrics, 2014, 182(1), 119–134)
openaire   +3 more sources

KORELASI DINAMIS PASAR SAHAM ASEAN DENGAN NILAI TUKAR DOLLAR AMERIKA SERIKAT (USD) DI ERA DONALD TRUMP

open access: yesJurnal Ilmu Sosial dan Humaniora, 2019
Pasca terpilihnya Donald Trump menjadi Presiden Amerika Serikat memberikan pengaruh terhadap perekonomian dunia dengan berbagai kebijakan yang ditetapkan, salah satunya memberi dampak pada pasar saham negara-negara ASEAN, oleh karena itu peneliti ingin ...
Yonatan Alvin Stefan   +1 more
doaj   +1 more source

Evaluating the Efficiency of Financial Assets as Hedges against Bitcoin Risk during the COVID-19 Pandemic

open access: yesMathematics, 2023
In the turbulent landscape of financial markets, Bitcoin has emerged as a significant focus for investors due to its highly volatile returns. However, the risks and uncertainties associated with it necessitate effective hedging strategies.
Li Wei   +4 more
doaj   +1 more source

Variation de risque mondial, local et de change sur les marches boursiers

open access: yesAcademic Finance, 2022
Objectif : étudier l’importance des risques mondiaux, locaux et de change Méthode :   MEDAFI et DCC-GARCH Résultats : le risque mondial, local et de change sont évalués et varient dans le temps.
Lamia SEBAI, siwar ELLOUZ
doaj  

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