Special issue on computational finance

Many of the papers in this special issue were initially presented at the 2nd International Workshop on Parallel and Distributed Computing in Finance (PDCoF) held in conjunction with The 23rd International Parallel and Distributed Processing Symposium (IPDPS). The papers were significantly revised, extended for consideration in this special issue. The purpose of this special issue is to bring together research work in the area of computational finance where complex finance models are studied using advanced algorithms and state-of-the-art computing resources. The main goal of this special issue is to provide a forum to disseminate new ideas, techniques, and research in computational finance with focus on computing issues. The papers in this special issue represent a wide variety of research activities in the topic area. These papers examine the current issues and problems in finance and transpire the computing challenges these problem render and how concurrency can be discovered in finance problems and how high performance computing could be employed to solve these problems in practice. The papers cover fundamental problems in finance (e.g., inhibiting effect of price limits in futures market, pricing derivatives using GPU, and interest rate derivatives), discover the computational issues therein, and report latest findings and understanding of financial modeling that have resulted with the use of parallel and distributed computing. We sincerely hope that these papers will have significant impact for future research in computational finance.