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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
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Study on Dynamic Risk Measurement Based on ARMA-GJR-AL Model [PDF]
This paper established the ARMA-GJR-AL model of dynamic risk VaR and CVaR measurement. Considering from aspects of the correlation and volatility and residual distribution characteristics, studying the dynamic risk measures of VaR and CVaR based on ARMA-GJR-AL model.
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Abstract Aims Impaired insulin sensitivity is an under‐recognised risk in Type 1 diabetes but is challenging to measure with ‘gold‐standard’ euglycaemic clamps. Adding stable‐isotope glucose distinguishes hepatic and muscle insulin action (assessed by endogenous glucose production [EGP] and glucose infusion rate [GIR], respectively).
Andrzej S. Januszewski +6 more
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GRG Non-Linear and ARWM Methods for Estimating the GARCH-M, GJR, and log-GARCH Models
Numerous variants of the basic Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models have been proposed to provide good volatility estimating and forecasting. Most of the study does not work Excel’s Solver to estimate GARCH-type models.
Didit Budi Nugroho +5 more
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Background Our aim was to update an existing model of communication ability for children with rare neurodevelopmental disorders (NDDs) by centring caregiver and family perspectives. This project is part of a larger initiative to improve the measurement of communication ability for these children in the context of clinical trials.
Christina K. Zigler +31 more
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Summary Herbarium specimens are widely distributed in space and time, thereby capturing diverse conditions. We reconstructed specimen ‘lived’ climate from knowledge of germination cues and collection dates for 14 annual species in the Streptanthus (s.l.) clade (Brassicaceae) to ask: which climate attributes best explain specimen phenological stage and ...
Megan Bontrager +6 more
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Determination of Value-at-Risk in UNVR Stocks Using ARIMA-GJR-GA RCH Model
Stocks are investment instruments that are in great demand by investors as a basis for storing finances. The most important thing in investing is the return and risk of loss obtained from investing in stocks. Risk measurement is carried out using Value-at-Risk and Conditional Value-at-Risk.
Rizki Apriva Hidayana +2 more
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Objective Suicide has been linked to distinct impairments in emotional face processing. This magnetoencephalography (MEG) study used a multimodal design to address how cortisol dysregulation, often reported in individuals with suicidal thoughts and behaviors, affects emotional face processing.
Steven J. Lamontagne +6 more
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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
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A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets
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
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