2018
DOI: 10.4236/jamp.2018.62033
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The Arc-Sine Laws for the Skew Brownian Motion and Their Interpretation

Abstract: We consider the skew Brownian motion as a solution of some stochastic differential equation. We prove for the skew Brownian motion the analogues of the arc-sine laws for Wiener process. Unlike of existing results, we are forced to consider a stochastic differential equation with discontinuous diffusion coefficient. Possible interpretations of obtained results are suggested.

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Cited by 7 publications
(6 citation statements)
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References 17 publications
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“…The proposed model of barrier options pricing will be enhanced using recent studies of applications of random processes [9][10][11][12][13][14][15][16][17] and computer technologies [15][16][17][18][19].…”
Section: Conclusion and Prospects For Further Researchmentioning
confidence: 99%
“…The proposed model of barrier options pricing will be enhanced using recent studies of applications of random processes [9][10][11][12][13][14][15][16][17] and computer technologies [15][16][17][18][19].…”
Section: Conclusion and Prospects For Further Researchmentioning
confidence: 99%
“…The study of world electoral systems and the search for ways to detect and to avoid possible election manipulations will be enhanced using results and methods of recent studies of applications of random processes [17,18,19,20,21,22,23,24,25] and computer technologies [24,26,27].…”
Section: Conclusion and Prospects For Further Researchmentioning
confidence: 99%
“…The proposed model will be enhanced using recent studies of random processes [16][17][18][19][20][21][22] and soft computing methods and new recommendations components will be generated for the estimation of the statistical parameters to detect election frauds [23][24][25][26][27].…”
Section: General Conclusion and Prospects For Further Researchmentioning
confidence: 99%