trinomial model
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Author(s):  
Wan Mohd Yaseer Mohd Abdoh ◽  
Khairu Azlan Abd Aziz ◽  
Wan Suhana Wan Daud ◽  
Noorsyiha Mustafa
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2015 ◽  
Vol 02 (01) ◽  
pp. 1550003 ◽  
Author(s):  
Satoshi Hosokawa ◽  
Koichi Matsumoto

This paper studies an interest rate derivative when there is the model risk in an interest rate model. We consider a mean reverting interest rate process whose volatility model is not known. Most of prices of interest rate derivatives cannot be determined uniquely, based on this interest rate model. We study the price bounds of a derivative and propose how to calculate the price bounds by a trinomial model. Further, we analyze the model risk of derivatives and their portfolios numerically.


2013 ◽  
Vol 6 (3) ◽  
pp. 195-201 ◽  
Author(s):  
Entit Puspita ◽  
◽  
Fitriani Agustina ◽  
Ririn Sispiyati ◽  
◽  
...  

2009 ◽  
Vol 17 (4) ◽  
pp. 295-308 ◽  
Author(s):  
John E. Savage ◽  
Mohammad Zubair

One of the challenges to achieving good performance on multicore architectures is the effective utilization of the underlying memory hierarchy. While this is an issue for single-core architectures, it is a critical problem for multicore chips. In this paper, we formulate the unified multicore model (UMM) to help understand the fundamental limits on cache performance on these architectures. The UMM seamlessly handles different types of multiple-core processors with varying degrees of cache sharing at different levels. We demonstrate that our model can be used to study a variety of multicore architectures on a variety of applications. In particular, we use it to analyze an option pricing problem using the trinomial model and develop an algorithm for it that has near-optimal memory traffic between cache levels. We have implemented the algorithm on a two Quad-Core Intel Xeon 5310 1.6 GHz processors (8 cores). It achieves a peak performance of 19.5 GFLOPs, which is 38% of the theoretical peak of the multicore system. We demonstrate that our algorithm outperforms compiler-optimized and auto-parallelized code by a factor of up to 7.5.


2008 ◽  
Vol 11 (05) ◽  
pp. 415-445 ◽  
Author(s):  
S. Z. XANTHOPOULOS ◽  
A. N. YANNACOPOULOS

We study the problem of determination of asset prices in an incomplete market proposing three different but related scenarios, based on utility pricing. One scenario uses a market game approach whereas the other two are based on risk sharing or regret minimizing considerations. Dynamical schemes modeling the convergence of the buyer and seller prices to a unique price are proposed. The case of exponential utilities is treated in detail, in the simplest possible example of an incomplete market, the trinomial model.


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