Fundamental Analysis For Dummies

Fundamental Analysis For Dummies

  • ISBN13: 9780470506455
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How to determine the true strength and stability of any business

What’s the key to multibillionaire Warren Buffett’s five-decade run as the most successful investor in history? Fundamental analysis. Now, Fundamental Analysis For Dummies puts this tried and true method for gauging any company’s true underlying value into sensible and handy step-by-step instructions..

In this easy-to-understand, practical, and savvy guide you’ll discover why this powerful tool is particularly important to investors in times of economic downturn and how it helps you assess a business’s overall financial performance by using historical and present data to forecast its future monetary value. You’ll also learn how to use fundamental analysis to spot bargains in the market, minimize your risk, and improve your overall investment skills.

  • Shows how to predict the future value of a business based on its current and historical financial data
  • Helps you guage a company’s performance against its competitors
  • Covers evaluation of internal management
  • Reveals how to determine if in a company’s credit standing is any jeopardy
  • Applies fundamental analysis to other investment vehicles, including currency, bonds, and commodities
  • Matt Krantz is a writer and reporter for USA TODAY and USATODAY.COM where he covers investments and financial markets

Read Fundamental Analysis For Dummies and find the bargains that could make you the next Warren Buffett!

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Market Models: A Guide to Financial Data Analysis Reviews

Market Models: A Guide to Financial Data Analysis

Market Models provides an authoritative and up-to-date treatment of the use of market data to develop models for financial analysis. Written by a leading figure in the field of financial data analysis, this book is the first of its kind to address the vital techniques required for model selection and development. Model developers are faced with many decisions, about the pricing, the data, the statistical methodology and the calibration and testing of the model prior to implementation. It is important to make the right choices and Carol Alexander’s clear exposition provides valuable insights at every stage.

In each of the 13 Chapters, Market Models presents real world illustrations to motivate theoretical developments. The accompanying CD contains spreadsheets with data and programs; this enables you to implement and adapt many of the examples. The pricing of options using normal mixture density functions to model returns; the use of Monte Carlo simulation to calculate the VaR of an options portfolio; modifying the covariance VaR to allow for fat-tailed P&L distributions; the calculation of implied, EWMA and ‘historic’ volatilities; GARCH volatility term structure forecasting; principal components analysis; and many more are all included.

Carol Alexander brings many new insights to the pricing and hedging of options with her understanding of volatility and correlation, and the uncertainty which surrounds these key determinants of option portfolio risk. Modelling the market risk of portfolios is covered where the main focus is on a linear algebraic approach; the covariance matrix and principal component analysis are developed as key tools for the analysis of financial systems. The traditional time series econometric approach is also explained with coverage ranging from the application cointegration to long-short equity hedge funds, to high-frequency data prediction using neural networks and nearest neighbour algorithms.

Throughout this text the emphasis is on understanding concepts and implementing solutions. It has been designed to be accessible to a very wide audience: the coverage is comprehensive and complete and the technical appendix makes the book largely self-contained.

Market Models: A Guide to Financial Data Analysis is the ideal reference for all those involved in market risk measurement, quantitative trading and investment analysis.

List Price: $ 155.00

Price: $ 75.00

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