Results 61 to 70 of about 36,906 (198)

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

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

Application of Copula Models in Stock Market Analysis

open access: yesInformatika
Objectives. The objective of the study is to use copula models to analyze shares of the Russian stock market and describe changes in the relationship between the shares before and during the coronavirus infection (COVID-19).Methods.
A. M. Kendys, M. M. Troush
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

Comparing GARCH Models by Introducing Fuzzy Asymmetric Realized GARCH [PDF]

open access: yesمدلسازی اقتصادسنجی, 2018
Estimation of conditional variance has lots of application reflecting economic, especially financial economics, social economics and political economics’ risk and volatility research.
Esmaiel Abounoori, Mohammad Amin Zabol
doaj   +1 more source

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

Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates [PDF]

open access: yes
Tourism is a major source of service receipts for many countries, including Taiwan. The two leading tourism countries for Taiwan, comprising a high proportion of world tourist arrivals to Taiwan, are Japan and USA, which are sources of short and long ...
McAleer, M.J., Chang, C-L.
core   +2 more sources

Shock‐Triggered Asymmetric Response Stochastic Volatility

open access: yesJournal of Forecasting, Volume 45, Issue 1, Page 217-240, January 2026.
ABSTRACT We propose a novel asymmetric stochastic volatility model (STAR‐SV) in which the leverage parameter adjusts to the magnitude of past shocks. This flexible specification captures both the leverage effects and their propagation more effectively than standard asymmetric volatility models.
J. Miguel Marin, Helena Veiga
wiley   +1 more source

POT parameter estimates, VaRq(Z) and following Bayesian MS-GJR-GARCH(1,1) Frank and Student’s-t copula-EVT models.

open access: yes, 2018
POT parameter estimates, VaRq(Z) and following Bayesian MS-GJR-GARCH(1,1) Frank and Student’s-t copula-EVT models.
Haslifah M. Hasim (4839987)   +2 more
core   +1 more source

Unveiling Complex Seasonality in Stock Price Forecasting Using a Seasonal‐Adjusted Hybrid Machine Learning Approach

open access: yesApplied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
In emerging financial markets, stock price forecasting is challenged by nonstationarity, irregular trading calendars, and evolving structural dynamics that limit the effectiveness of conventional linear models. This study develops and evaluates a seasonal‐adjusted hybrid machine learning framework to forecast the daily closing stock prices of Square ...
K. M. Zahidul Islam   +9 more
wiley   +1 more source

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