Results 81 to 90 of about 2,339 (211)
Time-varying persistence in US inflation [PDF]
, 2016 The persistence property of inflation is an important issue not only for economists, but especially for central banks, given that the degree of inflation persistence determines the extent to which central banks can control inflation. Further, not only is
Caporin, Massimiliano, Gupta, Rangan
core +2 more sources
Long-Memory Models in Testing the Efficiency Market Hypothesis of the Algerian Exchange Market
Management Dynamics in the Knowledge Economy, 2022 The purpose of this study is to examine the Efficiency Market Hypothesis (EMH) from the perspective of the Algerian exchange rate market. We apply different tests of dependence, long memory, volatility clustering and unit root tests over the three main ...
Yassine BENZAI +2 more
doaj
Gestão & Produção, 2012 O presente estudo propõe uma análise comparativa de dez modelos de volatilidade para o cálculo do Value-at-Risk (VaR) para carteira teórica do Ibovespa, considerando a presença de memória longa na série temporal dos seus retornos diários.
Luiz Eduardo Gaio +1 more
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Long Memory in the Turkish Stock Market Return and Volatility [PDF]
This paper examines the dual long memory property of the Turkish stock market. The data set consists of daily returns, and long memory tests are carried out both for the returns and volatility.
Adnan Kasman, Erdost Torun
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Economies, 2019 The impact that oil market shocks have on stock markets of oil-related economies has several implications for both domestic and foreign investors. Thus, we investigate the role of the oil market in deriving the dynamic linkage between stock markets of ...
Manel Youssef, Khaled Mokni
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New practice for investors in Chinese stock market: From perspective of fractionally integrated realized GARCH model. [PDF]
Heliyon, 2023 Xiao M, Tao Z, Gu Z, Li Z, Chen X.
europepmc +1 more source
Application of FIGARCH and EWMA Models on Stock Indices PX and BUX [PDF]
Acta Oeconomica Pragensia, 2011 Volatility of the financial time series belongs to the crucial estimated parameters in finance (e.g. in risk management, derivative pricing). It is well known, that volatility varies in time, so that new approaches of volatility modeling have appeared.
openaire +1 more source
Performance of the Multifractal Model of Asset Returns (MMAR): Evidence from Emerging Stock Markets
International Journal of Financial Studies, 2016 In this study, the performance of the Multifractal Model of Asset Returns (MMAR) was examined for stock index returns of four emerging markets. The MMAR, which takes into account stylized facts of financial time series, such as long memory, fat tails and
Samet Günay
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Reexamining the linkages between inflation and output growth: A bivariate ARFIMA-FIGARCH approach [PDF]
In this paper, given recent theoretical developments that inflation can exhibit long memory properties due to the output growth process, we propose a new class of bivariate processes to simultaneously investigate the dual long memory properties in the ...
Feng Jiang, Mustafa Caglayan
core
A hybrid ExpAR-FIGARCH-ANN model for time series forecasting
Journal of Statistical Sciences and Computational IntelligenceFinancial time series forecast is challenging due to nonlinear mean dynamics, volatility clustering, and long-memory effects. Traditional hybrid models such as Autoregressive Integrated Moving Average – Generalised Autoregressive Conditional Heteroscedasticity (ARIMA–GARCH) and Fractional Generalised Integrated Autoregressive Conditional ...
Abba Bello Muhammad +5 more
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