Design patterns are the cutting-edge paradigm for programming in object-oriented lan- guages. Here they are discussed in the context of implementing financial models in C++. Assuming only a basic knowledge of C++ and mathematical finance, the reader i
In this paper, we propose a novel simple but empirically very consistent stochastic model for stock price dynamics and option pricing, which not only has the same ana- lyticity as log-normal and Black-Scholes model, but can also capture and explain
The book uses a range of products from the network economy to outline strategies for pricing information goods. These range from the obvious (introductory pricing, competitive upgrades, basic versus deluxe) through to more complex strategies such as
This paper reviews the use of Monte Carlo simulation in the field of financial engineering. It focuses on several interesting topics and introduces their recent development, including path generation, pricing American-style deriva- tives, evaluating G
Abstract. We give the background and required tools for applying quasi-Monte Carlo methods eciently to problems in computational - nance, and survey recent developments in this eld.We describe methods for pricing european path-dependent options, an
We investigate the problem of efficient resource control for elastic traffic over the EDCA (Enhanced Distributed Channel Access) and HCCA (Hybrid Coordination Function - HCF - Controlled Channel Access) mechanisms of IEEE 802.11e. Our approach consi
Featuring international contributors from both industry and academia, Numerical Methods for Finance explores new and relevant numerical methods for the solution of practical problems in finance. It is one of the few books entirely devoted to numeric
In this document, we present the WINNER+ initial report on system aspects of flexible spectrum use. The document presents preferred spectrum use in WINNER+ and Digital Dividend concepts. In addition, specific innovative techniques related to intra-o
The theory and practice of finance draws heavily on probability theory. All MBA programs prepare finance majors for their career in the profession by requiring one generalist course in probability theory and statistics attended by all business major
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