Abstract:The paper proposes a class of financial market models which are based on inhomogeneous telegraph processes and jump diffusions with alternating volatilities. It is assumed that the jumps occur when the tendencies and volatilities are switching. We argue that such a model captures well the stock price dynamics under periodic financial cycles. The distribution of this process is described in detail. For this model we obtain the structure of the set of martingale measures. This incomplete model can be completed b… Show more
“…By Proposition 7.1, this model of the one risky asset is not complete. Nevertheless, the model can be completed, similarly as for the case of the telegraph-diffusion model, which has been studied before, see [16].…”
The traditional jump-telegraph processes are based on a Poisson process with alternating intensities. We develop a new model based on an alternating doubly stochastic Poisson process with random intensities of jumps. Moreover, in this model the jump-telegraph process performs additional jumps each time when the intensity changes at random. Martingale measures for this type of processes are described by using Girsanov's transformation. The market model based on the doubly stochastic jump-telegraph process is studied. A class of complete models is also considered.
“…By Proposition 7.1, this model of the one risky asset is not complete. Nevertheless, the model can be completed, similarly as for the case of the telegraph-diffusion model, which has been studied before, see [16].…”
The traditional jump-telegraph processes are based on a Poisson process with alternating intensities. We develop a new model based on an alternating doubly stochastic Poisson process with random intensities of jumps. Moreover, in this model the jump-telegraph process performs additional jumps each time when the intensity changes at random. Martingale measures for this type of processes are described by using Girsanov's transformation. The market model based on the doubly stochastic jump-telegraph process is studied. A class of complete models is also considered.
“…Telegraph-like processes have multiple applications including the applications to financial market modelling, see Di Mazi et al (1994), and then, Ratanov (1999); Di Crescenzo and Pellerey (2002). Nowadays, these applications became the theory of Markov-modulated market models based on telegraph processes with alternating velocities, see e. g. Ratanov (2007Ratanov ( , 2010; López and Ratanov (2014) (see also the survey in Kolesnik and Ratanov, 2013).…”
The paper concerns a piecewise linear process controlled by the set of velocities {c n } n≥0 consecutively switched after exponentially distributed, Exp(λ n), n ≥ 0, time intervals. The distribution of such process is studied in detail, including the distribution of the first passage time through the constant boundary. The processes which moves by alternating patterns and with a double jump component are also studied.
“…In general, this model has infinitely many equivalent martingale measures, which makes the market incomplete. The model can be completed by adding other assets; for the jump-diffusion model see Runggaldier (2003), and for the telegraph-jump-diffusion model (hidden Markov model) with constant parameters see Ratanov (2010).…”
Section: Introductionmentioning
confidence: 99%
“…If d = 2, the market model of asset pricing (with additive jumps superimposed on the diffusion) has been studied before in Ratanov (2010).…”
We study an incomplete market model, based on jump-diffusion processes with parameters that are switched at random times. The set of equivalent martingale measures is determined. An analogue of the fundamental equation for the option price is derived. In the case of the two-state hidden Markov process we obtain explicit formulae for the option prices. Furthermore, we numerically compare the results corresponding to different equivalent martingale measures.
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