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financial market that features volatility uncertainty. To have a mathematical consistent framework we use the notion of G … this more complex situation and consider stock price dynamics which exclude arbitrage opportunities. Due to volatility … claims and deduce explicit results in a Markovian setting. -- Pricing of contingent claims ; incomplete markets ; volatility …
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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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In a tractable stochastic volatility model, we identify the price of the smile as the price of the unspanned risks … traded in SPX option markets. The price of the smile reflects two persistent volatility and skewness risks, which imply a …-form and structural models of stochastic volatility …
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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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fluctuations of the volatility of the firm's market value of financial assets. The minimal version of the model depends on the …
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