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Persistence in the Russian stock market volatility indices

Caporale, Guglielmo Maria; Gil-Alaña, Luis A.; … - 2018

volatility índices (namely the originally created RTSVX and the new RVI that has replaced it), using daily data over the period …

Persistent link: https://www.econbiz.de/10011903723

Political news and stock market reactions : evidence from Turkey over the period 2008-2017

Karime, Sleiman; Sayilir, Özlem - In: International journal of management and economics 55 (2019) 2, pp. 83-98

volatility of Borsa Istanbul 100 Index (BIST-100). Sample data cover the period from January 2008 to December 2017. The main … nonlinear volatility models (symmetric and asymmetric Generalized AutoRegressive Conditional Heteroskedasticity [GARCH …]-type models) were used to model and estimate BIST-100 volatility in response to political news. The findings of the paper …

Persistent link: https://www.econbiz.de/10012131511

Technical analysis accuracy at Macedonian Stock Exchange

Ivanovski, Zoran; Ivanovska, Nadica; Narasanov, Zoran - In: UTMS journal of economics / University of Tourism and … 8 (2017) 2, pp. 105-118

The main task of this paper is to determine accuracy of some of widely used technical analysis techniques for MBI-10 stocks price forecast at MSE. We are testing accuracy of several technical analysis techniques: MACD (Moving-Average Convergence/Divergence), RSI (Relative Strength Index),...

Persistent link: https://www.econbiz.de/10011780553

The spectre of terrorism and the stock market

Hanna, Alan J.; Turner, John D.; Walker, Clive B. - 2022

returns and increased volatility on the UK stock market. …

Persistent link: https://www.econbiz.de/10013428887

Stock market volatility response to COVID-19 : evidence from Thailand

Suthasinee Suwannapak; Surachai Chancharat - In: Journal of risk and financial management : JRFM 15 (2022) 12, pp. 1-9

This study investigated how stock market volatility responded dynamically to unexpected changes during the COVID-19 … pandemic and the resulting uncertainty in Thailand. Using a multivariate GARCH-BEKK model, the conditional volatility dynamics …, the interlinkages, and the conditional correlations between stock market volatility and the increasing rate of COVID-19 …

Persistent link: https://www.econbiz.de/10014284290

Conditional volatility and correlations of weekly returns and the VaR analysis of 2008 stock market crash

Pesaran, Bahram; Pesaran, M. Hashem - 2010

return correlations using weekly returns on futures markets and investigate the extent to which multivariate volatility …

Persistent link: https://www.econbiz.de/10003965868

Evaluating density forecasts with an application to stock market returns

Raaij, Gabriela de; Raunig, Burkhard - 2002

Density forecasts have become quite important in economics and finance. For example, such forecasts play a central role in modern financial risk management techniques like Value at Risk. This paper suggests a regression based density forecast evaluation framework as a simple alternative to other...

Persistent link: https://www.econbiz.de/10011431370

Testing volatility in Nigeria stock market using GARCH models

Atoi, Ngozi V. - In: CBN journal of applied statistics 5 (2014) 2, pp. 65-93

The contributions of error distributions have been ignored while modeling stock market volatility in Nigeria and … studies have shown that the application of appropriate error distribution in volatility model enhances efficiency of the model … asymmetric volatility models each in Normal, Student's-t and generalized error distributions with the view to selecting the best …

Persistent link: https://www.econbiz.de/10011489480

Realized Wishart-GARCH : a score-driven multi-Asset volatility model

Hansen, Peter Reinhard; Janus, Paweł; Koopman, Siem Jan - 2016

We propose a novel multivariate GARCH model that incorporates realized measures for the variance matrix of returns. The key novelty is the joint formulation of a multivariate dynamic model for outer-products of returns, realized variances and realized covariances. The updating of the variance...

Persistent link: https://www.econbiz.de/10011520881

Precious metals under the microscope : a high-frequency analysis

Caporin, Massimiliano; Ranaldo, Angelo; Velo, Gebriel G. - 2014

financial assets with fat tails, asymmetry, periodic behaviors in the conditional variances, and volatility clustering. The gold …

Persistent link: https://www.econbiz.de/10010407214