Results 21 to 30 of about 185,692 (261)
Stat, 2023 Lévy processes are useful tools for analysis and modeling of jump‐diffusion processes. Such processes are commonly used in the financial and physical sciences. One approach to building new Lévy processes is through subordination, or a random time change.
Caitlin M. Berry, William Kleiber
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SOME PRICING TOOLS FOR THE VARIANCE GAMMA MODEL [PDF]
International Journal of Theoretical and Applied Finance, 2020 We establish several closed pricing formulas for various path-independent payoffs, under an exponential Lévy model driven by the Variance Gamma process. These formulas take the form of quickly convergent series and are obtained via tools from Mellin transform theory as well as from multidimensional complex analysis.
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Pricing Embedded Options Using Fast Fourier Transform to Compare Variance Gamma and Black-Scholes-Merton Model Efficiency [PDF]
Iranian Journal of FinanceEmbedded options are virtually new instruments identical to options in many aspects except their non-tradable nature. Testing the efficiency of the Variance Gamma and Black-Scholes-Merton model on these instruments would provide a vision of transitioning
Alireza Barati, Maryam Khalili Araghi
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Econometrics, 2020 Time-varying parameter (TVP) models are very flexible in capturing gradual changes in the effect of explanatory variables on the outcome variable.
Annalisa Cadonna +2 more
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Pricing and Hedging Index Options under Mean-Variance Criteria in Incomplete Markets
Computation, 2023 This paper studies the portfolio selection problem where tradable assets are a bank account, and standard put and call options are written on the S&P 500 index in incomplete markets in which there exist bid–ask spreads and finite liquidity.
Pornnapat Yamphram +2 more
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Stationary-increment Student and variance-gamma processes [PDF]
Journal of Applied Probability, 2006 A continuous-time model with stationary increments for asset price {P t } is an extension of the symmetric subordinator model of Heyde (1999), and allows for skewness of returns. In the setting of independent variance-gamma-distributed returns the model resembles closely that of Madan, Carr, and Chang ...
Finlay, Richard, Seneta, Eugene
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Étude théorique de la compression de spin nucléaire par mesure quantique non destructive en continu
Comptes Rendus. Physique, 2021 We propose to take advantage of the very weak coupling of the ground-state helium-3 nuclear spin to its environment to produce very long-lived macroscopic quantum states, here nuclear spin squeezed states, in a gas cell at room temperature.
Serafin, Alan +4 more
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Option Pricing in a Dynamic Variance-Gamma Model [PDF]
, 2011 We present a discrete time stochastic volatility model in which the conditional distribution of the logreturns is a Variance-Gamma, that is a normal variance-mean mixture with Gamma mixing density. We assume that the Gamma mixing density is time varying and follows an affine Garch model, trying to capture persistence of volatility shocks and also ...
MERCURI, LORENZO, BELLINI, FABIO
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Mathematics, 2021 Recently, maintaining a complex mechanical system at the appropriate times is considered a significant task for reliability engineers and researchers. Moreover, the development of advanced mechanical systems and the dynamics of the operating environments
Marwa Belhaj Salem +2 more
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A matrix approach to the statistics of longevity in heterogeneous frailty models
Demographic Research, 2014 Background: The gamma-Gompertz model is a fixed frailty model in which baseline mortality increasesexponentially with age, frailty has a proportional effect on mortality, and frailty at birth follows a gamma distribution.
Hal Caswell
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