Results 11 to 20 of about 2,971 (265)
Modeling and Forecasting the Volatility of NIFTY 50 Using GARCH and RNN Models
Economies, 2022 The stock market is constantly shifting and full of unknowns. In India in 2000, technological advancements led to significant growth in the Indian stock market, introducing online share trading via the internet and computers.
Vanshu Mahajan +2 more
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Volatility regimes of selected central European stock returns: a Markov switching GARCH approach
Journal of Business Economics and Management, 2022 This paper investigates the weekly stock market data of the Hungarian stock index BUX, the Czech stock index PX and the Polish stock index WIG20 spanning from January 7, 2001 to April 18, 2021.
Michaela Chocholatá
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Risks, 2023 The relevance of the development is determined by the possibility of testing a complex analytical methodology for forecasting the daily volatility of Bulgarian investment funds, which will support the investment community in making adequate investment ...
Mariana Petrova, Teodor Todorov
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Comparison and Forecasting of VaR Models for Measuring Financial Risk: Evidence from China
Discrete Dynamics in Nature and Society, 2022 With increasing extremal risk, VaR has been becoming a popular methodology because it is easy to interpret and calculate. For comparing the performance of extant VaR models, this paper makes an empirical analysis of five VaR models: simple VaR, VaR based
Yuling Wang, Yunshuang Xiang, Huan Zhang
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Stable Mixture GARCH Models [PDF]
SSRN Electronic Journal, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Broda, Simon A +4 more
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The application of the hybrid copula-GARCH approach in the simulation of extreme discharge values
Applied Water Science, 2022 Statistical analysis and simulation of annual maximum discharge values, while considering the corresponding maximum daily rainfall, provide a comprehensive view of flood management.
Mohammad Nazeri Tahroudi +2 more
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Financial Innovation, 2021 This study investigates the impact of economic policy uncertainty (EPU) on the volatility of European Union (EU) carbon futures prices and whether it has predictive power for the volatility of carbon futures prices.
Jian Liu +3 more
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Applied Computer Science, 2023 The objective of this research was to compare the effectiveness of the GARCH method with machine learning techniques in predicting asset volatility in the main Latin American markets.
Victor CHUNG, Jenny ESPINOZA
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Calculating Value at Risk: DCC-GARCH-Copula Approach [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2020 In this paper, in order to calculate portfolio market risk of 10 selected industries indices in Tehran Stock Exchange, two models of Value Risk (VaR) and Expected shortfall (ES) have been used.
Reza Taleblou, Mohammad Mahdi Davoudi
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Closing the GARCH gap: Continuous time GARCH modeling [PDF]
Journal of Econometrics, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Werker, B.J.M., Drost, F.C.
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