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The Limits of Mathematics and NP Estimation in ... - Chichilnisky

The Limits of Mathematics and NP Estimation in ... - Chichilnisky

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Recent Developments <strong>in</strong> SeasonalVolatility Models 11Recent Developments <strong>in</strong> Seasonal Volatility Models<strong>The</strong> Ψ-weights are Ψ j = φ j , j ≥ 1. <strong>The</strong>refore, ∑ ∞ j=0 Ψ2 j= 1 + φ 2 + φ 4 + ...= 1 . <strong>The</strong>n, the1 − φ2 kurtosis <strong>of</strong> y t is:K (y) = 6(σ2 b + β2 )[1 − (β 2 + σb 2)][1 − (β 2 + σ 2 {b1 − (3σb 4 + β4 + 6β 2 σb 2) + 3)]2σ 2 }1 − (3σb 4 + β4 + 6β 2 σb 2) exp v1 − φ 2 .Example 5.2. RCA with pure seasonal autoregressive [AR(1) s ]SVprocessy t =(β + b t )y t−1 + ɛ tɛ t = Z t e 1 2 h t(1 − ΦB s )h t = ω + v t<strong>The</strong> Ψ-weights are Ψ j = Φ j , j ≥ 1. <strong>The</strong>refore, ∑ ∞ j=0 Ψ2 j= 1 + Φ 2 + Φ 4 1+ ... =1 − Φ 2 . <strong>The</strong>n,the kurtosis <strong>of</strong> y t is:K (y) = 6(σ2 b + β2 )[1 − (β 2 + σb 2)][1 − (β 2 + σ 2 {1 − (3σb 4 + β4 + 6β 2 σb 2) + 3b )]2σ 2 }1 − (3σb 4 + β4 + 6β 2 σb 2) exp v1 − Φ 2 .Example 5.3. RCA with multiplicative seasonal autoregressive [AR(1)x(1) s ]SVprocessy t =(β + b t )y t−1 + ɛ tɛ t = Z t e 1 2 h t(1 − φB)(1 − ΦB s )h t = ω + v t<strong>The</strong> Ψ-weights are Ψ 1 = φ + Φ, <strong>and</strong>Ψ j =(φ + Φ)Ψ j−1 + φΦΨ j−2 , j ≥ 2. <strong>The</strong>n, the kurtosis<strong>of</strong> y t is:K (y) = 6(σ2 b + β2 )[1 − (β 2 + σb 2)][1 − (β 2 + σb 21 − (3σb 4 + β4 + 6β 2 σb 2) + 3)]21 − (3σb 4 + β4 + 6β 2 σb 2) eσ2 h twhere σh 2 (1 + φ s )σv2t=(1 − φ 2 )(1 − Φ 2 )(1 − Φφ s ) .Recently, Gong & Thavaneswaran (2009) discussed the filter<strong>in</strong>g <strong>of</strong> SV models. <strong>The</strong> prediction<strong>of</strong> discrete SV models can be obta<strong>in</strong>ed by us<strong>in</strong>g the recursive method proposed <strong>in</strong>Gong & Thavaneswaran (2009).6. Option pric<strong>in</strong>g with seasonal volatilityOption pric<strong>in</strong>g based on the Black-Scholes model is widely used <strong>in</strong> the f<strong>in</strong>ancial community.<strong>The</strong> Black-Scholes formula is used for the pric<strong>in</strong>g <strong>of</strong> European-style options. <strong>The</strong> modelhas traditionally assumed that the volatility <strong>of</strong> returns is constant. However, severalstudies have shown that asset returns exhibit variances that change over time. Duan (1995)proposes an option pric<strong>in</strong>g model for an asset with returns follow<strong>in</strong>g a GARCH process.Badescu & Kulpeger (2008); Elliot et al. (2006); Heston & N<strong>and</strong>i (2000) <strong>and</strong> others derivedclosed form option pric<strong>in</strong>g formulas for different models which are assumed to follow aGARCH volatility process. Most recently, Gong et al. (2010) derive an expression for the callprice as an expectation with respect to r<strong>and</strong>om GARCH volatility. <strong>The</strong> model is then evaluated41

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