Results 11 to 20 of about 2,588 (267)
Generalized Autoregressive Conditional Heteroskedasticity [PDF]
Journal of Econometrics, 1986 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.
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ANALISIS EFEK MUSIM HUJAN DAN KEMARAU TERHADAP HARGA BERAS
Jurnal Manajemen Industri dan Logistik, 2018 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
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Modeling Contagion of Financial Markets: A GARCH-EVT Copula Approach
Engineering Proceedings, 2023 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
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SUBGEOMETRICALLY ERGODIC AUTOREGRESSIONS WITH AUTOREGRESSIVE CONDITIONAL HETEROSKEDASTICITY
Econometric Theory, 2023 In this paper, we consider subgeometric (specifically, polynomial) ergodicity of univariate nonlinear autoregressions with autoregressive conditional heteroskedasticity (ARCH). The notion of subgeometric ergodicity was introduced in the Markov chain literature in the 1980s, and it means that the transition probability measures converge to the ...
Mika Meitz, Pentti Saikkonen
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How influential is monetary policy on Ibovespa returns and volatility? [PDF]
EconomiAPurposeIs 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
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Mathematics, 2022 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
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A TEST OF THE EFFICIENCY OF THE FOREIGN EXCHANGE MARKET IN INDONESIA
Buletin Ekonomi Moneter dan Perbankan, 2019 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
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Are soft commodities markets affected by the Halloween effect?
Agricultural Economics (AGRICECON), 2021 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
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Functional Generalized Autoregressive Conditional Heteroskedasticity
Journal of Time Series Analysis, 2016 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
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Forecasting Crude Oil Future Volatilities with a Threshold Zero-Drift GARCH Model
Mathematics, 2022 The recent price crash of the New York Mercantile Exchange (NYMEX) crude oil futures contract, which occurred on 20 April 2020, has caused history-writing movements of relative prices.
Tong Liu, Yanlin Shi
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