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P. Acworth, M. Broadie, and P. Glasserman. A comparison of some Monte Carlo and quasi Monte Carlo methods for option pricing. In H. Niederreiter, P. Hellekalek, G. Larcher, and P. Zinterhof, editors, Monte Carlo and Quasi-Monte Carlo Methods 1996, pages 1-18. Springer-Verlag, Berlin, 1998.
D. Arapov, V. Ivannikov, A. Kalinov, A. Lastovetsky, I. Ledovskih, and T. Lewis. A parallel language for modular distributed programming. In Proceedings of the 2nd Aizu International Symposium on Parallel Algorithms/Architectures Synthesis, pages 248-255, Aizu, Japan, March 1997. IEEE Computer Society.
G. Bird. Approach to translational equilbrium in a rigid sphere gas. Physics of Fluids, 6:1518, 1963.
CrossRef
G. Bird. Molecular Gas Dynamics and the Direct Simulation of Gas Flows. Claredon, Oxford, 1994.
J. R. Birge. Quasi-Monte Carlo approaches to option pricing. Technical report 94-19, Department of Industrial and Operations Engineering, University of Michigan, 1994.
F. Black and M. Scholes. The pricing of options and corporate liabilities. Journal of Political Economy, 81:637-654, 1973.
CrossRef
P. Boyle. Options: A Monte Carlo approach. Journal of Financial Economics, 4:323-338, 1977.
CrossRef
P. Boyle, M. Broadie, and P. Glasserman. Monte Carlo methods for security pricing. Journal of Economic Dynamics and Control, 21:1267-1321, 1997.
CrossRef
M. Broadie and P. Glasserman. Pricing American-Style Securities Using Simulation. Technical Report 96-12, Columbia - Graduate, School of Business, 1996. available at http://ideas.repec.org/p/fth/colubu/96-12.html. http://ideas.repec.org/p/fth/colubu/96-12.html
B. C. Bromley. Quasirandom Number Generators for Parallel Monte Carlo Algorithms. Journal of Parallel and Distributed Computing, 38(0132):101-104, 1996.
CrossRef
H. Faure. Discrepance de suites associees a un systeme de numeration (en dimension s). Acta Arithmetica, 41:337-351, 1982.
M. C. Fu. Pricing of financial derivatives via simulation. In C. Alexopoulos, K. Kang, W. Lilegdon, and D. Goldsman, editors, In Proceedings of the 1995 Winter Wimulation conference, pages 126-132, Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, 1995.
S. Galanti and A. Jung. Low-discrepancy sequences: Monte Carlo simulation of option prices. Journal of Derivatives, 5(1):63-83, 1997.
CrossRef
P. Glasserman. Monte Carlo Methods in Financial Engineering. Springer, New York, 2004.
D. Grant, G. Vora, and D. Weeks. Path-Dependent Options: Extending the Monte Carlo Simulation Approach. Management Science, 43(11):1589-1602, Nov 1997.
CrossRef
J. H. Halton. On the efficiency of certain quasirandom sequences of points in evaluating multidimensional integrals. Numerische Mathematik, 2:84-90, 1960.
CrossRef
J. Hull and A. White. The Pricing of Options on Assets with Stochastic Volatilities. Journal of Finance, 42:281-300, 1987.
CrossRef
J. C. Hull. Options, Futures, and Other Derivatives. Prentice Hall, Upper Saddle River, NJ, 7th edition, 2008.
A. G. Z. Kemna and A. C. F. Vorst. A Pricing Method for Options Based on Average Asset Values. Journal of Banking and Finance, 14:113-129, 1990.
CrossRef
L. Kuipers and H. Niederreiter. Uniform Distribution of Sequences. John Wiley & Sons, New York, 1974.
A. Lastovetsky. Adaptive parallel computing on heterogeneous networks with mpC. Parallel Computing, 28:1369-1407, 2002.
CrossRef
A. Lastovetsky. Parallel Computing on Heterogeneous Networks. John Wiley & Sons, 2003.
J. X. Li and G. L. Mullen. Parallel computing of a quasi-monte carlo algorithm for valuing derivatives. Parallel Computing, 26(5):641-653, 2000.
CrossRef
H. Niederreiter. Random Number Generation and Quasi-Monte Carlo Methods, volume 63 of CBMS-NSF Regional Conference Series in Appl. Math. SIAM, Philadelphia, PA, 1992.
G. Okten and A. Srinivasan. Parallel quasi-Monte Carlo methods on a heterogeneous cluster. In H. N. et al., editor, Proceedings of Fourth International Conference on Monte Carlo and Quasi-Monte Carlo, pages 406-421, Hong Kong, 2000.
S. H. Paskov and J. F. Traub. Faster valuation of financial derivatives. Journal of Portfolio Management, 22(1):113-120, Fall 1995.
CrossRef
S. Rakhmayil, I. Shiller, and R. K. Thulasiram. Cost of Option Pricing Errors Associated with Incorrect Estimates of the Underlying Assets Volatility: Parallel Monte Carlo Simulation. IMACS J. Mathematics and Computers in Simulation, (under review).
W. Schmid and A. Uhl. Techniques of parallel quasi-Monte Carlo integration with digital sequences and associated problems. Mathematics and computers in simulation, 55:249-257, 2000.
CrossRef
E. S. Schwartz and W. N. Torous. Prepayment and the Valuation of Mortgage-Backed Securities. Journal of Finance, 44(2):375-392, 1989.
CrossRef
I. M. Sobol. On the distribution of points in a cube and the approximate evaluation of integers. U.S.S.R. Computational Mathematics and Mathematical Physics, 7(4):86-112, 1967.
CrossRef
A. Srinivasan. Parallel and distributed computing issues in pricing financial derivatives through quasi monte carlo. In Proc. (CDRoM) 16th International Parallel and Distributed Processing Symposium (IPDPS 2002), Fort Lauderdale, FL, USA, 2002. IEEE Computer Society.
J. A. Tilley. Valuing American Options in a Path Simulation Model. Transactions of the Society of Actuaries, 45:83-104, 1993.
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International Journal of Aerospace Innovations


International Journal of Aerospace Innovations

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