Results 31 to 40 of about 3,916 (205)

COVID-19 Pandemic and Volatility Persistence of the Nigerian Crude Oil Price

open access: yesJournal of Applied Sciences and Environmental Management, 2022
Impacts of COVID-19 pandemic on the global economy cannot be overemphasized, especially with Nigeria, which largely depends on crude oil as a major source of her revenue.
T. K. Samson, M. A. Raheem
doaj   +1 more source

Empirical Research on VAR Model Based on GJR-GARCH, EVT and Copula [PDF]

open access: yesScience Journal of Applied Mathematics and Statistics, 2015
In this paper, we establish GJR-GARCH models to extract the residuals of logarithmic returns of two index--- New York stock exchange composite index (NYA) and NASDAQ. and estimate the distribution function of the residuals utilizing Gaussian kernel method and Extreme Value Theory.
openaire   +1 more source

A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets

open access: yesJournal of Forecasting, Volume 45, Issue 3, Page 1261-1291, April 2026.
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley   +1 more source

The predictive capacity of GARCH-type models in measuring the volatility of crypto and world currencies.

open access: yesPLoS ONE, 2021
This paper provides a thorough overview and further clarification surrounding the volatility behavior of the major six cryptocurrencies (Bitcoin, Ripple, Litecoin, Monero, Dash and Dogecoin) with respect to world currencies (Euro, British Pound, Canadian
Viviane Naimy   +3 more
doaj   +1 more source

Does ESG Investing Pay off? Comparing the Performance of ESG and Traditional ETFs Across European and US Markets

open access: yesBusiness Strategy and the Environment, Volume 35, Issue 3, Page 3561-3606, March 2026.
ABSTRACT Investors have long recognized the importance of firms in promoting sustainability, leading to the rise of socially responsible investment (SRI). Specifically, there is a growing preference for exchange‐traded funds (ETFs) that prioritize environmental, social, and governance (ESG) principles.
Sandra Tenorio‐Salgueiro   +3 more
wiley   +1 more source

Comparison of Symmetrical; Asymmetrical; and Logarithmic Models Using GARCH; GJR-GARCH; and EGARCH Method in Forecasting Indonesia–USA Currency Volatility

open access: yesEkonometria
Aim: The main object of this study was to present a comparison between GARCH models, i.e. the standard GARCH model, asymmetric GJR-GARCH, and logarithmic EGARCH on exchange rate (IDR/USD) volatility.
Juwita Suwondo   +3 more
doaj   +1 more source

Forecasting Carbon Prices: A Literature Review

open access: yesJournal of Forecasting, Volume 45, Issue 2, Page 496-529, March 2026.
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis   +2 more
wiley   +1 more source

Forecasting the Volatility of Real Residential Property Prices in Malaysia: A Comparison of Garch Models

open access: yesReal Estate Management and Valuation, 2023
The presence of volatility in residential property market prices helps investors generate substantial profit while also causing fear among investors since high volatility implies a high return with a high risk.
Suleiman Ahmad Abubakar   +6 more
doaj   +1 more source

Estimation of value at risk by using gjr-garch copula based on block maxima

open access: yesIndonesian Journal of Statistics and Its Applications, 2021
This paper will discuss the risk estimation of a portfolio based on value at risk (VaR) using a copula-based asymmetric Glosten – Jagannathan – Runkle - Generalized Autoregressive Conditional Heteroskedasticity (GJR-GARCH). There is non-linear correlation for dependent model structure among the variables that lead to the inaccurate VaR estimation so ...
Hasna Afifah Rusyda   +2 more
openaire   +2 more sources

Informational Efficiency in Cryptocurrency Markets: A Bibliometric and Thematic Literature Review (2015–2024)

open access: yesJournal of Economic Surveys, Volume 40, Issue 1, Page 443-468, February 2026.
ABSTRACT Cryptocurrency markets are known for their wide price fluctuations, lack of central control, and fast‐paced development. These characteristics present serious challenges to traditional theories about how markets work and how prices reflect available information.
Giulia Fantini, Joy Jia, Chiara Oldani
wiley   +1 more source

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