The Mathematics of Money Management Risk Analysis Techniques for Traders

The Mathematics of Money Management: Risk Analysis Techniques for Traders

The Mathematics of Money Management: Risk Analysis Techniques for Traders
By Ralph Vince
Publisher: Wiley | 1992 | 400 Pages | ISBN: 0471547387 | PDF | 5.41 MB

Every futures, options, and stock markets trader operates under a set of highly suspect rules and assumptions. Are you risking your career on yours? Exceptionally clear and easy to use, The Mathematics of Money Management substitutes precise mathematical modeling for the subjective decision-making processes many traders and serious investors depend on. Step-by-step, it unveils powerful strategies for creating and using key money management formulas—based on the rules of probability and modern portfolio theory—that maximizes the potential gains for the level of risk you are assuming. With them, you’ll determine the payoffs and consequences of any potential trading decision and obtain the highest potential growth for your specified level of risk. You’ll quickly decide: What markets to trade in and at what quantities When to add or subtract funds from an account How to reinvest trading profits for maximum yield The Mathematics of Money Management provides the missing element in modern portfolio theory that weds optimal f to the optimal portfolio.

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Mechanics Complete Advanced Level Mathematics

Mechanics: Complete Advanced Level Mathematics

Martin Adams, "Mechanics: Complete Advanced Level Mathematics"
Trans-Atlantic Publications | 1999 | ISBN: 0748735593 | 616 pages | PDF | 35,1 MB

In text, hints support key areas, for example, specific calculations in worked examples. Clear, two-colour, labelled illustrations provide extra clarity and a visual aid to understanding. Numerous exercises, worked examples and clear explanations with questions and diagrams provide exceptional learning support. Applications and Activities provide extension material and further opportunities for coursework. Review and Technique exercises and Consolidation A and B exercises provide complete exam practice and course support.

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The Mathematics of Marriage Dynamic Nonlinear Models

The Mathematics of Marriage: Dynamic Nonlinear Models

The Mathematics of Marriage: Dynamic Nonlinear Models
By John Mordechai Gottman, James D. Murray, Catherine Swanson, Rebecca Tyson, Kristin R. Swanson
Publisher: The MIT Press | 2003 | 500 Pages | ISBN: 0262072262 | PDF | 18.33 MB

Divorce rates are at an all-time high. But without a theoretical understanding of the processes related to marital stability and dissolution, it is difficult to design and evaluate new marriage interventions. The Mathematics of Marriage provides the foundation for a scientific theory of marital relations. The book does not rely on metaphors, but develops and applies a mathematical model using difference equations. The work is the fulfillment of the goal to build a mathematical framework for the general system theory of families first suggested by Ludwig Von Bertalanffy in the 1960s. The book also presents a complete introduction to the mathematics involved in theory building and testing, and details the development of experiments and models. In one "marriage experiment," for example, the authors explored the effects of lowering or raising a couple’s heart rates. Armed with their mathematical model, they were able to do real experiments to determine which processes were affected by their interventions. Applying ideas such as phase space, null clines, influence functions, inertia, and uninfluenced and influenced stable steady states (attractors), the authors show how other researchers can use the methods to weigh their own data with positive and negative weights. While the focus is on modeling marriage, the techniques can be applied to other types of psychological phenomena as well.

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Symmetry in Chaos A Search for Pattern in Mathematics Art and Nature

Symmetry in Chaos: A Search for Pattern in Mathematics, Art, and Nature

Symmetry in Chaos: A Search for Pattern in Mathematics, Art, and Nature
By Michael Field, Martin Golubitsky
Publisher: Society for Industrial and Applied Mathematics; 2nd Revised edition edition | 2009 | 213 Pages | ISBN: 0898716721 | PDF | 163.03 MB

An impressive and beautiful exploration of an impressive and beautiful area of mathematics - the interplay between order and chaos. The images are breathtaking, the mathematics fundamental. Symmetry in Chaos is an important book, a work of art, and a joy to read. Ian Stewart, author of Why Beauty is Truth A classic in the interdisciplinary field of art and mathematics, this very well written book takes the ingenious idea of combining symmetry with chaos to construct stunning images that anyone can enjoy, in particular mathematicians, who can also appreciate the underlying mathematics. Beautiful art cannot be the result of just clever computer graphics. The artist must also have a keen sense of color and that intangible artistic sensibility, which is present in Symmetry in Chaos. Anyone interested in the relationship of art and mathematics should read this book. Nat Friedman, Director, International Society of the Arts, Mathematics and Architecture

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Difference Equations and Inequalities Theory Methods and Applications Pure and Applied Mathematics

Difference Equations and Inequalities: Theory, Methods, and Applications (Pure and Applied Mathematics)

Difference Equations and Inequalities: Theory, Methods, and Applications (Pure and Applied Mathematics)
By Ravi P. Agarwal
Publisher: CRC | 2000 | 1000 Pages | ISBN: 0824790073 | DJVU | 8.85 MB

A study of difference equations and inequalities. This second edition offers real-world examples and uses of difference equations in probability theory, queuing and statistical problems, stochastic time series, combinatorial analysis, number theory, geometry, electrical networks, quanta in radiation, genetics, economics, psychology, sociology, and other disciplines. It features 200 new problems, 400 additional references, and a new chapter on the qualitative properties of solutions of neutral difference equations.

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