2015
DOI: 10.1186/s13662-015-0590-8
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Actuarial approach in a mixed fractional Brownian motion with jumps environment for pricing currency option

Abstract: This research aims to investigate the strategy of fair insurance premium actuarial approach for pricing currency option, when the value of foreign currency option follows the mixed fractional Brownian motion with jumps and the European call and put currency option are presented. It has certain reference significance to avoiding foreign exchange risk.

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Cited by 24 publications
(16 citation statements)
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“…However, due to the absence of actual market transaction data, the market price of risk cannot be calculated. Since Bladt and Rydberg [44] proposed the use of actuarial pricing, this method has been widely used in options pricing [45]. As an important classical tool in actuarial pricing, the Esscher transform is widely used in options pricing and has a wide range of applications [46].…”
Section: Literature Reviewmentioning
confidence: 99%
“…However, due to the absence of actual market transaction data, the market price of risk cannot be calculated. Since Bladt and Rydberg [44] proposed the use of actuarial pricing, this method has been widely used in options pricing [45]. As an important classical tool in actuarial pricing, the Esscher transform is widely used in options pricing and has a wide range of applications [46].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Falkowski [59] proposed a fractional Black-Scholes pricing model with time-dependent volatility for options and derived the analytic formulae via an actuarial method. Shokrollahi and Klllçman [60] studied the strategy of fair insurance premium actuarial approach for pricing foreign currency option under the jump mixed fractional Brownian motion environment. A lot of the literature on options pricing using the actuarial approach could be found in [61][62][63][64].…”
Section: Introductionmentioning
confidence: 99%
“…However, continuous assumptions on the dynamics of assets ignore sudden shocks to asset returns due to the arrival of important information, since the financial crisis and significant business always result in sudden changes in firm values, which cannot be captured by continuous sample paths. To get around this problem and to take into account the long memory property, it is reasonable to use the mfBm with jumps model to capture fluctuations of the financial asset (see [27,30,31,33,36]).…”
Section: Introductionmentioning
confidence: 99%