Diffusion Approximation of a Poisson Model for Cumulative Excess Returns

Verfasser / Beitragende:
[O. Pavlenko, A. Pola, Je. Carkovs]
Ort, Verlag, Jahr:
2015
Enthalten in:
Cybernetics and Systems Analysis, 51/5(2015-09-01), 772-781
Format:
Artikel (online)
ID: 605519250
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024 7 0 |a 10.1007/s10559-015-9770-5  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s10559-015-9770-5 
245 0 0 |a Diffusion Approximation of a Poisson Model for Cumulative Excess Returns  |h [Elektronische Daten]  |c [O. Pavlenko, A. Pola, Je. Carkovs] 
520 3 |a The paper analyzes the regressive equation for cumulative excess returns with residual conditional variances as a GARCH(1,1) process and statistical uncertainty as an AR(1) Gaussian process with correlation parameter ρ. Under assumption that the lengths of time intervals between transactions are independent exponentially distributed random variables with sufficiently small mean h, we derive diffusion approximation equations. The continuous time limit equation allows concluding that a stationary conditional variance exists. Moreover, we derive this stationary distribution as inverse gamma distribution and analyze the dependence of this distribution on the correlation parameter ρ. 
540 |a Springer Science+Business Media New York, 2015 
690 7 |a diffusion approximation  |2 nationallicence 
690 7 |a volatility of excess returns  |2 nationallicence 
690 7 |a correlation of regression residuals  |2 nationallicence 
700 1 |a Pavlenko  |D O.  |u Riga Technical University, Riga, Latvia  |4 aut 
700 1 |a Pola  |D A.  |u Riga Technical University, Riga, Latvia  |4 aut 
700 1 |a Carkovs  |D Je  |u Riga Technical University, Riga, Latvia  |4 aut 
773 0 |t Cybernetics and Systems Analysis  |d Springer US; http://www.springer-ny.com  |g 51/5(2015-09-01), 772-781  |x 1060-0396  |q 51:5<772  |1 2015  |2 51  |o 10559 
856 4 0 |u https://doi.org/10.1007/s10559-015-9770-5  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s10559-015-9770-5  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Pavlenko  |D O.  |u Riga Technical University, Riga, Latvia  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Pola  |D A.  |u Riga Technical University, Riga, Latvia  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Carkovs  |D Je  |u Riga Technical University, Riga, Latvia  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Cybernetics and Systems Analysis  |d Springer US; http://www.springer-ny.com  |g 51/5(2015-09-01), 772-781  |x 1060-0396  |q 51:5<772  |1 2015  |2 51  |o 10559