Results 1 to 10 of about 287 (128)
Theoretical and Empirical Differences between Diagonal and Full BEKK for Risk Management [PDF]
The purpose of the paper is to explore the relative biases in the estimation of the Full BEKK model as compared with the Diagonal BEKK model, which is used as a theoretical and empirical benchmark.
David E Allen +2 more
exaly +9 more sources
BEKKs: An R Package for Estimation of Conditional Volatility of Multivariate Time Series
We describe the R package BEKKs, which implements the estimation and diagnostic analysis of a prominent family of multivariate generalized autoregressive conditionally heteroskedastic (MGARCH) processes, the so-called BEKK models.
Markus J. Fülle +3 more
doaj +6 more sources
A Study of the Machine Learning Approach and the MGARCH-BEKK Model in Volatility Transmission [PDF]
This study analyzes the volatility spillover effects in the US stock market (S&P500) and cryptocurrency market (BGCI) using intraday data during the COVID-19 pandemic. As the potential drivers of portfolio diversification, we measure the asymmetric volatility transmission on both markets.
Prashant Joshi +2 more
exaly +3 more sources
This study examines the impact, conditional correlation and volatility spillover effect of remittances, foreign direct investment and inflation rate on GDP in Bangladesh, Pakistan, and Sri-Lanka, three Asian nations that are particularly vulnerable ...
Md Jamal Hossain
exaly +3 more sources
کارایی مدلهای پویای اقتصادسنجی جهت پوشش ریسک متقاطع بازده سهام و قرارداد آتی سکه در بازار سرمایه تهران [PDF]
هدف از انجام مطالعه حاضر، بررسی کارایی مدل های پویای اقتصاد سنجی (BEKK-GARCH,CCC-GARCH) جهت پوشش ریسک متقاطع بازده سهام و قرارداد آتی سکه در بورس اوراق بهادار تهران با استفاده از دادههای روزانه طی سالهای 1392-1398 است. لذا محقق جهت تشخیص کارایی مدل های
صدف سلیمی +3 more
doaj +1 more source
Multivariate Variance Targeting in the BEKK-GARCH Model [PDF]
This paper considers asymptotic inference in the multivariate BEKK model based on (co-)variance targeting (VT). By de finition the VT estimator is a two-step estimator and the theory presented is based on expansions of the modifi ed likelihood function, or estimating function, corresponding to these two steps.
Pedersen, Rasmus Søndergaard +1 more
openaire +4 more sources
Abstract Estimating time-varying conditional covariance matrices of financial returns play important role in portfolio analysis, risk management, and financial econometrics research. The availability of high-frequency financial data can provide an additional data source for dynamic covariance modeling. In this paper, we propose to use
Manabu Asai, Mike K. P. So
openaire +3 more sources
Revealing asymmetric spillover effects in hazelnut, gasoline, and exchange rate markets in Turkey: The VECM-BEKK-MGARCH approach [PDF]
The study used the VECM-BEKK-MGARCH method to model the volatility transmission between the markets of gasoline, exchange rates, and the hazelnut market for the period of 21.07.2005-20.3.2018.
Askan Emine +2 more
doaj +1 more source
The Fiction of Full BEKK [PDF]
The purpose of the paper is to show that univariate GARCH is not a special case of multivariate GARCH, specifically the Full BEKK model, except under parametric restrictions on the off-diagonal elements of the random coefficient autoregressive coefficient matrix, provides the regularity conditions that arise from the underlying random coefficient ...
Chang, Chia-Lin, McAleer, Michael
openaire +4 more sources
Multivariate Hyper-Rotated GARCH-BEKK
Abstract For large multivariate models of generalized autoregressive conditional heteroskedasticity (GARCH), it is important to reduce the number of parameters to cope with the ‘curse of dimensionality’. Recently, Laurent, Rombouts and Violante (2014 “Multivariate Rotated ARCH Models” Journal ...
Manabu Asai, Michael McAleer
openaire +3 more sources

