Computational challenges in portfolio management
Computing in Science and Engineering
An introduction to Java 2 micro edition (J2ME); Java in small things
ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
J2ME in a nutshell
MobiMine: monitoring the stock market from a PDA
ACM SIGKDD Explorations Newsletter
M-Commerce: Technologies,Services,and Business Models
M-Commerce: Technologies,Services,and Business Models
Mobile commerce: framework, applications and networking support
Mobile Networks and Applications
Multithreaded Algorithms for Pricing a Class of Complex Options
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Mobile Commerce: A New Frontier for E-business
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 9 - Volume 9
Location management for mobile commerce applications in wireless Internet environment
ACM Transactions on Internet Technology (TOIT)
Mobile and Wireless Design Essentials
Mobile and Wireless Design Essentials
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 1 - Volume 1
J2ME application-layer end-to-end security for m-commerce
Journal of Network and Computer Applications
ICEC '05 Proceedings of the 7th international conference on Electronic commerce
A second order L0 stable algorithm for evaluating European options
International Journal of High Performance Computing and Networking
High performance computing for a financial application using fast fourier transform
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
Option pricing, maturity randomization and distributed computing
Parallel Computing
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The problem of growing computational complexity in the finance industry demands manageable, high-speed and real-time solutions in solving complex mathematical problems such as option pricing. In current option trading scenarios, determining a fair price for options "any time" and "anywhere" has become vital yet difficult computational problem. In this study, we have designed, implemented, and deployed an architecture for pricing options on-line using a hand-held device that is J2ME-based Mobile computing-enabled and is assisted by web mining tools. In our architecture, the client is a MIDP user interface, and the back end servlet runs on a standalone server bound to a known port address. In addition, the server uses table-mining techniques to mine real-time data from reliable web sources upon the mobile trader's directive. The server performs all computations required for pricing options since mobile devices have limited battery power, low bandwidth, and low memory. We have parallelized and implemented various computational techniques such as binomial lattice and finite differencing. To the best of our knowledge, this is one of the first studies that facilitate the mobile-enabled-trader to compute the price of an option in ubiquitous fashion. This architecture aims at providing the trader with various computational techniques to avail (to provide results from approximate to accurate results) while on-the-go and to make important and effective trading decisions using the results that will ensure higher returns on investments in options.