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Different methodologies and uses of the Hurst exponent in econophysics

Nieves López García, María de las; Ramos-Requena, J. P. - In: Estudios de economía aplicada : revista promovida por … 37 (2019) 2, pp. 107-119

Persistent link: https://www.econbiz.de/10012063553

Evidence of intraday multifractality in European stock markets during the recent coronavirus (covid-19) outbreak

Aslam, Faheem; Mohti, Wahbeeah; Ferreira, Paulo - In: International Journal of Financial Studies : open … 8 (2020) 2/31, pp. 1-13

This study assesses how the coronavirus pandemic (COVID-19) affects the intraday multifractal properties of eight European stock markets by using five-minute index data ranging from 1 January 2020 to 23 March 2020. The Hurst exponents are calculated by applying multifractal detrended fluctuation...

Persistent link: https://www.econbiz.de/10012239424

Multifractal analysis of volatility for detection of herding and bubble : evidence from CNX Nifty HFT

Ghosh, Bikramaditya; Kozarević, Emira - In: Investment management and financial innovations 16 (2019) 3, pp. 182-193

Persistent link: https://www.econbiz.de/10012159372

Heterogeneous speculators and stock market dynamics : a simple agent-based computational model

Schmitt, Noemi; Schwartz, Ivonne; Westerhoff, Frank H. - 2020

crashes, excess volatility, serially uncorrelated returns, fat-tailed return distributions and volatility clustering, thereby … regimes with high volatility originate from the fact that speculators extract stronger trading signals out of past stock price …

Persistent link: https://www.econbiz.de/10012257370

Predictability and herding of bourse volatility : an econophysics analogue

Ghosh, Bikramaditya; Krishna, Mysore Chidambareswaran; … - In: Investment management and financial innovations 15 (2018) 2, pp. 317-326

Persistent link: https://www.econbiz.de/10012055468

Heterogeneous speculators and stock market dynamics : a simple agent-based computational model

Schmitt, Noemi; Schwartz, Ivonne; Westerhoff, Frank H. - In: The European journal of finance 28 (2022) 13/15, pp. 1263-1282

Persistent link: https://www.econbiz.de/10013532181

Econophysical bourse volatility : global evidence

Ghosh, Bikramaditya; Krishna Mysore Chidambareswaran - In: Journal of central banking theory and practice 9 (2020) 2, pp. 87-107

Financial Reynolds number (Re) has been proven to have the capacity to predict volatility, herd behaviour and nascent … embedded volatility, herd behaviour and nascent bubble. Overall the volatility distribution has been found to be Gaussian in … nature, as far as volatility, herd behaviour and nascent bubble are concerned. …

Persistent link: https://www.econbiz.de/10012305755

Econophysics : quantitative studies of equity and credit markets

Schäfer, Rudi - 2012

Persistent link: https://www.econbiz.de/10010420139

Multifractal models, intertrade durations and return volatility

Segnon, Mawuli - 2015

Persistent link: https://www.econbiz.de/10011299266

Comparative volatility study on India VIX by GARCH and Shannon's entropy form a behavioural finance viewpoint

Ghosh, Bikramaditya; Nisha, Nabila - In: International journal of applied business and economic … 16 (2018) 2, pp. 317-324

Persistent link: https://www.econbiz.de/10012007315

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