Results 1 to 10 of about 71,229 (282)

Forecasting gains by using extreme value theory with realised GARCH filter

open access: yesIIMB Management Review, 2021
Early empirical evidence suggests that the realised generalised autoregressive conditional heteroskedasticity (GARCH) model provides significant forecasting gains over the standard GARCH models in volatility forecasting.
Samit Paul, Prateek Sharma
doaj   +1 more source

A Hybrid Model of Machine Learning Model and Econometrics’ Model to Predict Volatility of KSE-100 Index

open access: yesReviews of Management Sciences, 2022
Purpose: The purpose of this paper is to predict the volatility of the KSE-100 index using econometric and machine learning models. It also designs hybrid models for volatility forecasting by combining these two models in three different ways ...
Komal Batool   +2 more
doaj   +1 more source

Challenges of integrated variance estimation in emerging stock markets [PDF]

open access: yesZbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2019
Estimating integrated variance, using high frequency data, requires modelling experience and data crunching skills. Although intraday returns have attracted much attention in recent years, handling these data is challenging because of their ...
Josip Arnerić, Mario Matković
doaj   +1 more source

Performance of the Realized-GARCH Model against Other GARCH Types in Predicting Cryptocurrency Volatility

open access: yesRisks, 2023
Cryptocurrencies have increasingly attracted the attention of several players interested in crypto assets. Their rapid growth and dynamic nature require robust methods for modeling their volatility.
Rhenan G. S. Queiroz, Sergio A. David
doaj   +1 more source

Examining the periodic relationship between risk and return using the two-variable model approach [PDF]

open access: yesNew Applied Studies in Management, Economics & Accounting, 2023
The purpose of this research is to investigate the periodic relationship between risk and return using the two-variable model approach. The current research is of a descriptive type and in terms of purpose, it is in the correlation-regression research ...
Farshid Kazemi
doaj   +1 more source

Optimal Portfolio Allocation with Elliptical and Mixed Copulas

open access: yesIstanbul Business Research, 2023
This research aims to investigate the asset allocation performance of three different optimization methods commonly applied in the literature for a portfolio composed of univariate returns generated from Mixed and Elliptic copulas instead of historical ...
Cemile Özgür, Vedat Sarıkovanlık
doaj   +1 more source

Closing the GARCH gap: Continuous time GARCH modeling [PDF]

open access: yesJournal of Econometrics, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Werker, B.J.M., Drost, F.C.
openaire   +8 more sources

Multivariate GARCH Models [PDF]

open access: yesSSRN Electronic Journal, 2008
This article contains a review of multivariate GARCH models. Most common GARCH models are presented and their properties considered. This also includes nonparametric and semiparametric models. Existing specification and misspecification tests are discussed.
Silvennoinen, Annastiina   +1 more
openaire   +5 more sources

Carpo-metacarpal dislocation treatment

open access: yesPAMJ Clinical Medicine, 2020
We report the case of a young patient of 24 years, motorcyclist, victim of road accident, causing a closed trauma of the right wrist, the examination on admission finds a swollen, painful hand without vascular-nervous disorders, or compartment syndrome ...
Oussama Eladaoui, Abdelhak Garch
doaj   +1 more source

An exceptional localization of hydatidosis

open access: yesPAMJ Clinical Medicine, 2020
A 48-years-old woman, presenting a huge mass of the posterior surface of the thigh, fixed on the deep and superficial planes, evolving for 1 year. The patient has no particular pathological history, and no other signs were noted, including neither weight´
Oussama Eladaoui, Abdelhak Garch
doaj   +1 more source

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