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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

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

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

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

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

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

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

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

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

Abrupt changes in volatility : evidence from TEPIX Index in Tehran stock exchange

Araghi, Mansour Khalili; Ghazani, Majid Mirzaee - In: Iranian economic review : journal of University of Tehran 19 (2015) 3, pp. 377-393

Persistent link: https://www.econbiz.de/10011456700

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