Lévy processes and infinitely divisible distributions
Citations
13 citations
Cites background from "Lévy processes and infinitely divis..."
...When − = − /2, it is known that (see [23]) the fractional Laplacian is the infinitesimal...
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13 citations
13 citations
Cites background from "Lévy processes and infinitely divis..."
...3 in [16], 0 is regular for itself, and so P t is a strongly continuous semigroup of operators on C0(R \ 0) (see also [12])....
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...3 in [16], uz(x)/uz(0) is the Laplace transform of the distribution of τ0, Exe −zτ0 = uz(x) uz(0) , z > 0, x ∈ R....
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...Some more detailed results in this area have been obtained for spectrally negative Lévy processes, see, for example, [6] and Section 46 in [16]....
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...General references for Lévy processes are [3, 16]; for the properties of semigroups of killed Lévy processes, see [12] and the references therein....
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13 citations
Cites background or methods from "Lévy processes and infinitely divis..."
...Stochastic processes with stationary and independent increments (and with discontinuous sample paths in general), are called Lévy processes [48] and nowadays are widely-used in modeling of financial markets [31, 37, 41]....
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...Stochastic processes with stationary and independent increments (and with discontinuous sample paths in general), are called Lévy processes ( Sato, 1999 ) and nowadays are widely-used in modeling of financial markets ( Kou, 2002; Madan & Seneta, 1990; Merton, 1976 )....
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...For example, autoregressive models AR( p ) 1 Sato processes ( Sato, 1991 ), whose increments are independent but not neces- sarily stationary, can be used instead. https://doi.org/10.1016/j.ejor.2017.11.021 0377-2217/© 2017 Elsevier B.V....
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...Black & Scholes [5] priced options based on the assumption that stock prices follow a Brownian motion, whereas Sato [48] replaced the Brownian motion by a Levy process, which also assumes price increments (and consequently returns) to be independent....
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13 citations
Cites background from "Lévy processes and infinitely divis..."
...In the case where B is uniformly distributed in {−1,+1}, the field SΦ is symmetric and its marginals have a Skellam distribution with both parameters equal to νā/2 (see [30]), that is to say that they coincide with the difference of two independent Poisson random variables with parameter νā/2....
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References
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