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Sudden and rapid changes in the economy leads to an increase in volatility. The fact that high volatility in financial … markets brings along an increase in risk made it necessary to model it. Modeling volatility, which is accepted as a measure of … risk, will benefit investors in their attitudes towards risk. The volatility of financial variables such as exchange rates …
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A class of semiparametric fractional autoregressive GARCH models (SEMIFAR-GARCH), which includes deterministic trends, difference stationarity and stationarity with short-and long-range dependence, and heteroskedastic model errors, is very powerful for modelling financial time series. This paper...
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To capture mean and variance asymmetries and time-varying volatility in financial time series, we generalize the … threshold stochastic volatility (THSV) model and incorporate a heavy-tailed error distribution. Unlike existing stochastic … volatility models, this model simultaneously accounts for uncertainty in the unobserved threshold value and in the time …
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