in this paper we compared multivariate garch models toestimate value-at-risk. we used a portfolio of weekly indexesincluding tedpix, klse, xu100 during ten years. to estimatevalue-at-risk, first we estimated ccc, dcc of engle, dcc of tseand tsui, dynamic equi correlation models by oxmetrics. then,optimum lags were estimated by minimizing the information criteria.to estimate var, the models accu...

Penelitian ini bertujuan untuk menguji adanya contagion effect dari krisis Argentina dan Turki ke negara-negara Asia dengan menggunakan model DCC-MGARCH. Data yang digunakan adalah data harian harga penutupan indeks saham diperoleh Thomson Reuters DataStream mencakup periode 2 Januari 2014 hingga 17 Mei 2019. Hasil penelitian menunjukkan bahwa terjadi di Malaysia, Korea, Thailand, Filipina, sed...

Þrátt fyrir fjölda svefnrannsókna á undanförnum árum er enn margt huldu um útbreiðslu svefnvenja meðal ungmenna. Nægur nætursvefn mikilvægur þroska, heilsu og námsgetu ungs fólks. Markmið rannsóknarinnar var að skoða hvort svefnlengd íslenskra skólanema samræmdist svefnráðleggingum, hver meðalsvefnlengd nemendanna væri munur tíðni ráðlagðs svefns milli einstakra hópa nemenda.Landskönnunin „Heil...

We analyze a fixed-point algorithm for reinforcement learning (RL) of optimal portfolio mean-variance preferences in the setting multivariate generalized autoregressive conditional-heteroskedasticity (MGARCH) with small penalty on trading. A numerical solution is obtained using neural network (NN) architecture within recursive RL loop. theorem proves that NN approximation error has big-oh bound...

JEL classification: E32 C32 How similar is the price behavior of oil, natural gas, and coal? Are there any interactions among these three fuel prices and their volatilities? Using the Yatchew and Dimitropoulos (2016) annual data for the United States, over the period from 1870 to 2014, and state-of-the-art econometric methodology, we explore for spillovers and interactions among the three energ...

This paper investigates (i) the volatility of Indonesian Islamic, SRI, and Conventional equities, (ii) their serial correlation, (iii) dynamic correlation relationship during COVID-19 pandemic. Using MGARCH-DCC, our findings suggest that Islamic index is most volatile but performs more efficiently than others exhibits no co-movement with SRI Pandemic crisis. The study empirically shows resilien...

Our research explores how the COVID-19 pandemic has influenced asymmetric spillover effects in oil and gold markets. Through a VAR(p)-BEKK-AGARCH(1,1) model fitted to daily price data, 1) we find evidence of only from market that this effect is stronger during 2) conclude negative information shock larger impact on return volatility compared positive intensified pandemic.