Advanced Guide To Matlab
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Accelerating MATLAB Performance
The MATLAB programming environment is often perceived as a platform suitable for prototyping and modeling but not for "serious" applications. One of the main complaints is that MATLAB is just too slow. Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with tho
Basic Statistics 2nd Edition
Author: P.K. Mohanty
language: en
Publisher: Scientific Publishers
Release Date: 2019-04-10
This book have been so organized to cater to the needs of the research scholars and students of Engineering, Commerce, Economics, BBA and MBA, Biotechnology, Applied Microbiology, Environmental Science and the many, who are required to learn the subject and to apply its techniques and methods in their sphere of work. The questions and problems have all been solved in a very simple, easy and comprehensive manner to suit the readers’ requirements. Wherever possible real world data, particularly from biology, industrial, agricultural and census data, etc have been taken in explaining various statistical techniques.
Handbook of Computational Finance
Author: Jin-Chuan Duan
language: en
Publisher: Springer Science & Business Media
Release Date: 2011-10-25
Any financial asset that is openly traded has a market price. Except for extreme market conditions, market price may be more or less than a “fair” value. Fair value is likely to be some complicated function of the current intrinsic value of tangible or intangible assets underlying the claim and our assessment of the characteristics of the underlying assets with respect to the expected rate of growth, future dividends, volatility, and other relevant market factors. Some of these factors that affect the price can be measured at the time of a transaction with reasonably high accuracy. Most factors, however, relate to expectations about the future and to subjective issues, such as current management, corporate policies and market environment, that could affect the future financial performance of the underlying assets. Models are thus needed to describe the stochastic factors and environment, and their implementations inevitably require computational finance tools.