Study of Correlation between Volatility of Stock, Exchange and Gold Coin Markets in Iran with DCC-GARCH Model [PDF]
Faslnāmah-i Pizhūhish/Nāmah-i Iqtisādī, 2014 The aim of this paper is to investigate the behavior of stock, exchange and gold coin markets and their correlations structure by using the DCC-GARCH model and the daily data for the period from 23 July 2011 to 22 September 2013 in Iran.
Firouz Fallahi +3 more
doaj
The analysis of interest rate mean and volatility spillover to the industrial production index and stock markets: The case of China [PDF]
Empirical results found the parameter estimates for the CCC-MGARCH models display that the short run persistence is positive and significant and the positive and significant ARCH and GARCH term show the ARCH and GARCH effect exist in these models.
Ching-Chun Wei
core
A note on the determinants of non‐fungible tokens returns
International Journal of Finance &Economics, Volume 30, Issue 3, Page 3201-3211, July 2025.Abstract We aim to identify the determinants of non‐fungible tokens (NFTs) returns. The 10 most popular NFTs based on their price, trading volume, and market capitalisation are examined. Twenty‐three potential drivers of the returns of each NFT are considered.
Theodore Panagiotidis +1 more
wiley +1 more source
Practical volatility and correlation modeling for financial market risk management [PDF]
, 2005 What do academics have to offer market risk management practitioners in financial institutions? Current industry practice largely follows one of two extremely restrictive approaches: historical simulation or RiskMetrics.
Andersen, Torben G. +3 more
core +2 more sources
Tarım Ekonomisi DergisiÖzet Amaç: Günümüz dünyasında, jeopolitik gerilimler ve çatışmalar, küresel ekonomi üzerinde derin etkiler yaratabilmektedir. 2020'de başlayan COVID-19 pandemisi ve ardından meydana gelen Rusya-Ukrayna savaşı da özellikle emtia piyasaları üzerinden küresel ölçekte olumsuz etkilere sebep olmuştur.
Asuman Eşlik +2 more
openaire +2 more sources
MIDAS models in banking sector – systemic risk comparison
Managerial Economics, 2018 This paper shows the application of MIDAS based models in systemic risk assessment in banking sector. We consider two popular measures of systemic risk i.e. Marginal Expected Shortfall and Delta Conditional Value at Risk. The GARCH-MIDAS model is used in
Henryk Gurgul +2 more
doaj +1 more source
Short-term effect of COVID-19 pandemic on cryptocurrency markets: A DCC-GARCH model analysis. [PDF]
Heliyon, 2023 Ben-Ahmed K, Theiri S, Kasraoui N.
europepmc +1 more source
Spillover Effect of Food Producer Price Volatility in Indonesia
EconomiesFood price volatility is a persistent challenge in Indonesia, where agriculture is central to food security and rural livelihoods. While price transmission has been studied, little is known about how volatility spreads sub-nationally in archipelagic ...
Anita Theresia +3 more
doaj +1 more source
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2015 The article points out the possibilities of using static D-Vine copula ARMA-GARCH model for estimation of 1 day ahead market Value at Risk. For the illustration we use data of the four companies listed on Prague Stock Exchange in range from 2010 to 2014.
Václav Klepáč, David Hampel
doaj +1 more source
An empirical investigation of investor sentiment and volatility of realty sector market in India: an application of the DCC-GARCH model. [PDF]
SN Bus Econ, 2023 Pillada N, Rangasamy S.
europepmc +1 more source