Business Forecasting
Business Forecasting

Author: John E. Hanke

Publisher: Pearson Educación

Published: 2005

Total Pages: 544

ISBN-13: 9789702607595

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This top-selling book presents, in a straightforward, application-driven manner, the basic statistical techniques necessary for preparing individual business forecasts and long-range plans. The emphasis is on the application of techniques by management for decision-making. This essential book provides understandable coverage of several important topics, often omitted from other books, including econometrics; autocorrelation analysis and the use of Box-Jenkins techniques; judgmental forecasting techniques; and the means of selecting the correct forecasting technique and analyzing data. The book also reviews statistical concepts prior to introducing material that requires an understanding of those concepts. The sixth edition of Business Forecasting has been revised to include instructions on using Excel spreadsheets and the statistical package MINITAB in forecasting. An essential reference for every professional in a business of any size, from large corporations to small family-run firms.

RETRACTED BOOK: 151 Trading Strategies
RETRACTED BOOK: 151 Trading Strategies

Author: Zura Kakushadze

Publisher: Springer

Published: 2018-12-13

Total Pages: 480

ISBN-13: 3030027929

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The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.

Estadística Descriptiva y Probabilidad
Estadística Descriptiva y Probabilidad

Author: Leandro González Támara

Publisher: Universidad Jorge Tadeo Lozano

Published: 2013-01-01

Total Pages: 237

ISBN-13: 9587251148

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Este es el libro guía de un curso universitario de Estadística Descriptiva y Probabilidad introductorio. Está escrito en un lenguaje sencillo y claro para favorecer el encuentro inicial con los conceptos básicos y también propone ideas de tipo didáctico a diferentes tipos de profesionales que se dedican a la enseñanza de esta disciplina. Es un libro diseñado para ser seguido en una clase presencial que motiva la discusión de diferentes temáticas y que puede ser considerado como texto de transición, porque permite a los estudiantes acercarse a los conceptos por medio de aplicaciones, mucho antes de concentrarse en aspectos teóricos. Por esta última razón se aconseja acompañarlo con otras referencias. El libro contiene seis capítulos. El primero, sobre estadística descriptiva, introduce el lenguaje de la estadística y muestra diferentes formas gráficas de resumir datos. El segundo capítulo gira en torno a los estadísticos de centro y dispersión, con énfasis en su interpretación. El tercer capítulo hace una introducción al concepto de regresión y muestra al estudiante cómo puede ser usada esta técnica. El capítulo cuatro aborda el concepto de probabilidad como fundamento para el estudio de las variables aleatorias. Las distribuciones de probabilidad binomial, de Poisson e hipergeométrica son tratadas en el capítulo cinco. Por último, en el capítulo seis, se estudia la distribución de probabilidad normal.

bookdown
bookdown

Author: Yihui Xie

Publisher: CRC Press

Published: 2016-12-12

Total Pages: 140

ISBN-13: 1351792601

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bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than traditional tools such as LaTeX and Word. The bookdown package inherits the simplicity of syntax and flexibility for data analysis from R Markdown, and extends R Markdown for technical writing, so that you can make better use of document elements such as figures, tables, equations, theorems, citations, and references. Similar to LaTeX, you can number and cross-reference these elements with bookdown. Your document can even include live examples so readers can interact with them while reading the book. The book can be rendered to multiple output formats, including LaTeX/PDF, HTML, EPUB, and Word, thus making it easy to put your documents online. The style and theme of these output formats can be customized. We used books and R primarily for examples in this book, but bookdown is not only for books or R. Most features introduced in this book also apply to other types of publications: journal papers, reports, dissertations, course handouts, study notes, and even novels. You do not have to use R, either. Other choices of computing languages include Python, C, C++, SQL, Bash, Stan, JavaScript, and so on, although R is best supported. You can also leave out computing, for example, to write a fiction. This book itself is an example of publishing with bookdown and R Markdown, and its source is fully available on GitHub.

Probability and Statistics for Finance
Probability and Statistics for Finance

Author: Svetlozar T. Rachev

Publisher: John Wiley & Sons

Published: 2010-07-30

Total Pages: 676

ISBN-13: 0470906324

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A comprehensive look at how probability and statistics is applied to the investment process Finance has become increasingly more quantitative, drawing on techniques in probability and statistics that many finance practitioners have not had exposure to before. In order to keep up, you need a firm understanding of this discipline. Probability and Statistics for Finance addresses this issue by showing you how to apply quantitative methods to portfolios, and in all matter of your practices, in a clear, concise manner. Informative and accessible, this guide starts off with the basics and builds to an intermediate level of mastery. • Outlines an array of topics in probability and statistics and how to apply them in the world of finance • Includes detailed discussions of descriptive statistics, basic probability theory, inductive statistics, and multivariate analysis • Offers real-world illustrations of the issues addressed throughout the text The authors cover a wide range of topics in this book, which can be used by all finance professionals as well as students aspiring to enter the field of finance.