Results 21 to 30 of about 1,495 (237)
This study investigated the impact of the introduction of the VN30-Index futures contract on the daily returns anomaly for the Ho Chi Minh Stock Exchange (HOSE).
Loc Dong Truong, H. Swint Friday
doaj +1 more source
ANALISIS EFEK MUSIM HUJAN DAN KEMARAU TERHADAP HARGA BERAS
This study analyzes the effects of the rainy and dry seasons on rice prices. Autoregressive and Moving Average (ARMA) and Autoregressive Conditional Heteroskedasticity / Generalized Autoregressive Conditional Heteroskedasticity (ARCH / GARCH) with a ...
Kumara Jati
doaj +1 more source
Generalized Autoregressive Conditional Heteroskedasticity [PDF]
Abstract A natural generalization of the ARCH (Autoregressive Conditional Heteroskedastic) process introduced in Engle (1982) to allow for past conditional variances in the current conditional variance equation is proposed. Stationarity conditions and autocorrelation structure for this new class of parametric models are derived.
openaire +3 more sources
Are soft commodities markets affected by the Halloween effect?
Within the last three decades commodity markets, including soft commodities markets, have become more and more like financial markets. As a result, prices of commodities may exhibit similar patterns or anomalies as those observed in the behaviour of ...
Monika Krawiec, Anna Górska
doaj +1 more source
How influential is monetary policy on Ibovespa returns and volatility? [PDF]
PurposeIs monetary policy neutral to Ibovespa index returns and volatility? To approximate neutrality, the Brazilian Government has implemented a system in which the financial sector’s economic agents contribute to their daily predictions about future ...
Joilson Giorno +2 more
doaj +1 more source
This paper extends the conditional autoregressive range (CARR) model to the multivariate CARR (MCARR) model and further to the two-stage MCARR-return model to model and forecast volatilities, correlations and returns of multiple financial assets.
Shay Kee Tan +2 more
doaj +1 more source
Functional Generalized Autoregressive Conditional Heteroskedasticity
Heteroskedasticity is a common feature of financial time series and is commonly addressed in the model building process through the use of autoregressive conditional heteroskedastic and generalized autoregressive conditional heteroskedastic (GARCH) processes.
Aue, Alexander +2 more
openaire +3 more sources
Modeling Contagion of Financial Markets: A GARCH-EVT Copula Approach
To better assess the financial contagion through the VaR, several recent studies used copula models. In the same context, this paper addresses the inefficiency of the classical approach such as a normal distribution in modeling the tail risk, by using ...
Gueï Cyrille Okou, Amine Amar
doaj +1 more source
A TEST OF THE EFFICIENCY OF THE FOREIGN EXCHANGE MARKET IN INDONESIA
We test whether the Indonesian foreign exchange market is efficient. Since empirical evidence has been inconclusive, we employ a new generalized autoregressive conditional heteroskedasticity–based unit root test to examine the Efficient Market Hypothesis
Bernard Njindan Iyke
doaj +1 more source
Modeling the interaction across international conventional and Islamic stock indices
Islamic financial instruments have been experiencing rapid growth in the last 50 years. Despite the unique motivation in formulating them, namely based on Syariah law, their movement might link to those of the conventional ones.
Abdul Hakim +3 more
doaj +1 more source

