Results 41 to 50 of about 13,849,659 (169)
Forecasting, 2021 Overnight forecasting is a crucial challenge for revenue managers because of the uncertainty associated between demand and supply. However, there is limited research that focuses on predicting daily hotel demand.
Apostolos Ampountolas
doaj +1 more source
Meteorological Applications, Volume 33, Issue 3, May/June 2026.Rainfall across Ghana's agroecological zones is fragmented and volatile: extremes are localised, volatility regimes vary, forest rainfall leads savannas by 2–3 days, and the Transitional Zone records the most intense events, underscoring the need for zone‐specific adaptation for agriculture, water, and climate resilience.
Fred Fosu Agyarko +4 more
wiley +1 more source
A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets
Journal 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
Business 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
Forecasting Carbon Prices: A Literature Review
Journal 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
Journal 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]
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
Journal 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
, 2018 Back-testing results following Bayesian MS-GJR-GARCH(1,1) Student’s-t and Frank copula-EVT VaR models.
Haslifah M. Hasim (4839987) +2 more
core +1 more source
Applied 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