Results 41 to 50 of about 2,339 (211)
Modeling and Forecasting the Volatility of Eastern European Emerging Markets
East Asian Economic Review, 2009 This study has attempted to seek a volatility forecasting model that can reflect sufficiently the long memory characteristic in the volatility of four Eastern European emerging stock markets, naThis study has attempted to seek a volatility forecasting ...
Sang Hoon Kang , Seong-Min Yoon
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Gestão & Produção, 2012 Neste trabalho foram avaliados os ajustes de cinco modelos para previsão da variância, utilizando-se uma série de preços de soja, uma commodity negociada na bolsa de mercadorias de Chicago (CBOT), com dados de alta frequência. Os modelos utilizados foram
Mario Domingues Simões +3 more
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Negative Return-Volume Relationship in Asian Stock Markets: Figarch-Copula Approach
Eurasian Journal of Economics and Finance, 2014 We explore the potential dependence among different Asian stock markets, using several different statistical models. Extreme return-volume dependence in Hong Kong Seng Index, Bombay Stock Exchange, Indonesia Composite Index and Bursa Malaysia has been examined by using FIGARCH-Copula and GARCH-Copula approach.
M. Naeem, J. Hao, LISEO, Brunero
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Modeling Sequences of Long Memory Positive Weakly Stationary Random Variables [PDF]
, 2002 In this paper we introduce a new class of covariance stationary long-memory models on the positive half-line. The overall structure of the models is related to that of GARCH processes of Engle (1982) and Bollerslev (1986), whereby sequence of random ...
Koulikov, Dmitri
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Evaluation of Dual Long Memory Properties with Emphasizing the Skewed and Fat-Tail Distribution: Evidence from Tehran Stock Exchange [PDF]
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2014 This paper investigates the presence of long memory in the Tehran stock market, using the ARFIMA, GPH, GSP and FIGARCH models. The data set consists of daily returns, and long memory tests are carried out both for the returns and volatilities of TEPIX ...
Mohammad Javad Mohagheghnia +3 more
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Fractional derivatives of random walks: Time series with long-time memory
, 2008 We review statistical properties of models generated by the application of a (positive and negative order) fractional derivative operator to a standard random walk and show that the resulting stochastic walks display slowly-decaying autocorrelation ...
G. Samorodnitsky +10 more
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Stochastic equilibrium of free trade under a FIGARCH volatility
, 2023 Abstract Free trade for some economists gains so much attention, the horrible thing is though when a nation doesn't knit relations with other countries because this would harm the future gains almost if land or property is rare: what i had tried to mention is the importance of free trade as far as consumption is concerned, if the national ...
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Cumhuriyet Science JournalThe research delved into analysing the stochastic characteristics of Nigeria's Real GDP, the exchange rate of the Naira to US Dollar, and the inflation rate employing Autoregressive fractionally integrated moving average (ARFIMA) and the Autoregressive ...
Ayoade Adewole
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A Hybrid LSTM Neural Network Approach for Modeling Periodical Long-Memory Characteristics in Financial Energy Index Time Series [PDF]
Mathematics and Modeling in FinanceForecasting financial market volatility has always been a major challenge in economics and financial engineering. In this study, a hybrid approach based on FIGARCH and PLM-GARCH models combined with Long Short-Term Memory (LSTM) neural networks is ...
Minou Yari +2 more
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Argomenti: Rivista di Economia, Cultura e Ricerca Sociale, 2020 We explore the time-varying conditional correlations of the Sovereing CDS spread returns for Germany, France, China and Japan against USA. We employ a cDCC-AR-FIGARCH model in order to capture potential contagion effects between the markets during the ...
Konstantinos Tsiaras, Theodore Simos
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