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Financial time series: methods and models
Caporin, Massimiliano; Storti, Giuseppe - In: Journal of risk and financial management : JRFM 13 (2020) 5/86, pp. 1-3
The statistical analysis of financial time series is a rich and diversified research field whose inherent complexity requires an interdisciplinary approach, gathering together several disciplines, such as statistics, economics, and computational sciences. This special issue of the Journal of...
Persistent link: https://www.econbiz.de/10012304649
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Multivariate FIAPARCH modelling of financial markets with dynamic correlations in times of crisis
Karanasos, Menelaos; Yfanti, Stavroula; Karoglou, Michail - In: International review of financial analysis 45 (2016), pp. 332-349
Persistent link: https://www.econbiz.de/10011583871
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Breaks and outliers when modelling the volatility of the U.S. stock market
Chatzikonstanti, Vasiliki - In: Applied economics 49 (2017) 46, pp. 4704-4717
Persistent link: https://www.econbiz.de/10011844777
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How are structural breaks related to stock return volatility persistence? : evidence from China and Japan
Tsuji, Chikashi - In: Modern economy 9 (2018) 10, pp. 1635-1643
Persistent link: https://www.econbiz.de/10011958946
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Modeling and forecasting S&P 500 volatility : long memory, structural breaks and nonlinearity
Martens, Martin; Dijk, Dick van; Pooter, Michiel de - 2004
The sum of squared intraday returns provides an unbiased and almost error-free measure of ex-post volatility. In this … paper we develop a nonlinear Autoregressive Fractionally Integrated Moving Average (ARFIMA) model for realized volatility …, which accommodates level shifts, day-of-the-week effects, leverage effects and volatility level effects. Applying the model …
Persistent link: https://www.econbiz.de/10011335205
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Impact of the financial crisis on Indian commodity markets : structural breaks and volatility dynamics
Shalini, Velappan; Prasanna, Krishna - In: Energy economics 53 (2016), pp. 40-57
Persistent link: https://www.econbiz.de/10011660433
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The volatility of Romanian exchange rate : a GARCH approach
Pelinescu, Elena; Diaconaşu, Delia-Elena - In: Review of economics & finance 5 (2015) 4, pp. 92-99
Persistent link: https://www.econbiz.de/10011411168
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Modeling time-varying correlations in volatility between BRICS and commodity markets
Kang, Sang Hoon; McIver, Ron; Yoon, Seong-min - In: Emerging markets finance & trade : a journal of the … 52 (2016) 7/9, pp. 1698-1723
Persistent link: https://www.econbiz.de/10011594437
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Selected techniques of detecting structural breaks in financial volatility
Stawiarski, Bartosz - In: E-Finanse : finansowy kwartalnik internetowy 11 (2015) 1, pp. 32-43
breaks) in the volatility of financial time series. Comparative study of three techniques: ICSS, NPCPM and Cheng's algorithm … breaks in volatility, while Cheng's technique works well only when a single break occurs. …
Persistent link: https://www.econbiz.de/10011393264
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Structural breaks in volatility : the case of Chinese stock returns
Ni, Jinlan; Wohar, Mark E.; Wang, Beichen - In: The Chinese economy 49 (2016) 2, pp. 81-93
Persistent link: https://www.econbiz.de/10011619799