Introduction to Corporate Finance PDF Download
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Author: Laurence Booth
Publisher: John Wiley & Sons
ISBN: 1119561582
Category : Business & Economics
Languages : en
Pages : 818
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Book Description
The fifth edition of Introduction to Corporate Finance is a student friendly and engaging course that provides the most thorough, accessible, accurate, and current coverage of the theory and application of corporate finance within a uniquely Canadian context. Introduction to Corporate Finance will provide students with the skills they need to succeed not only in the course, but in their future careers.
Author: Laurence Booth
Publisher: John Wiley & Sons
ISBN: 1119561582
Category : Business & Economics
Languages : en
Pages : 818
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Book Description
The fifth edition of Introduction to Corporate Finance is a student friendly and engaging course that provides the most thorough, accessible, accurate, and current coverage of the theory and application of corporate finance within a uniquely Canadian context. Introduction to Corporate Finance will provide students with the skills they need to succeed not only in the course, but in their future careers.
Author: D. Kidwell
Publisher:
ISBN: 9780730360018
Category :
Languages : en
Pages :
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Book Description
Author: Andrew Metrick
Publisher: John Wiley and Sons
ISBN: 1118137884
Category : Business & Economics
Languages : en
Pages : 1153
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Book Description
This useful guide walks venture capitalists through the principles of finance and the financial models that underlie venture capital decisions. It presents a new unified treatment of investment decision making and mark-to-market valuation. The discussions of risk-return and cost-of-capital calculations have been updated with the latest information. The most current industry data is included to demonstrate large changes in venture capital investments since 1999. The coverage of the real-options methodology has also been streamlined and includes new connections to venture capital valuation. In addition, venture capitalists will find revised information on the reality-check valuation model to allow for greater flexibility in growth assumptions.
Author: Francois Longin
Publisher: John Wiley & Sons
ISBN: 1118650190
Category : Business & Economics
Languages : en
Pages : 638
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Book Description
A guide to the growing importance of extreme value risk theory, methods, and applications in the financial sector Presenting a uniquely accessible guide, Extreme Events in Finance: A Handbook of Extreme Value Theory and Its Applications features a combination of the theory, methods, and applications of extreme value theory (EVT) in finance and a practical understanding of market behavior including both ordinary and extraordinary conditions. Beginning with a fascinating history of EVTs and financial modeling, the handbook introduces the historical implications that resulted in the applications and then clearly examines the fundamental results of EVT in finance. After dealing with these theoretical results, the handbook focuses on the EVT methods critical for data analysis. Finally, the handbook features the practical applications and techniques and how these can be implemented in financial markets. Extreme Events in Finance: A Handbook of Extreme Value Theory and Its Applications includes: Over 40 contributions from international experts in the areas of finance, statistics, economics, business, insurance, and risk management Topical discussions on univariate and multivariate case extremes as well as regulation in financial markets Extensive references in order to provide readers with resources for further study Discussions on using R packages to compute the value of risk and related quantities The book is a valuable reference for practitioners in financial markets such as financial institutions, investment funds, and corporate treasuries, financial engineers, quantitative analysts, regulators, risk managers, large-scale consultancy groups, and insurers. Extreme Events in Finance: A Handbook of Extreme Value Theory and Its Applications is also a useful textbook for postgraduate courses on the methodology of EVTs in finance.
Author: Andrew T. Adams
Publisher: John Wiley & Sons
ISBN: 0470859180
Category : Business & Economics
Languages : en
Pages : 436
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Book Description
Investment Mathematics provides an introductory analysis of investments from a quantitative viewpoint, drawing together many of the tools and techniques required by investment professionals. Using these techniques, the authors provide simple analyses of a number of securities including fixed interest bonds, equities, index-linked bonds, foreign currency and derivatives. The book concludes with coverage of other applications, including modern portfolio theory, portfolio performance measurement and stochastic investment models.
Author: Ruey S. Tsay
Publisher: John Wiley & Sons
ISBN: 1119013461
Category : Business & Economics
Languages : en
Pages : 388
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Book Description
A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and applications, the book supplies readers with an accessible approach to financial econometric models and their applications to real-world empirical research. The author supplies a hands-on introduction to the analysis of financial data using the freely available R software package and case studies to illustrate actual implementations of the discussed methods. The book begins with the basics of financial data, discussing their summary statistics and related visualization methods. Subsequent chapters explore basic time series analysis and simple econometric models for business, finance, and economics as well as related topics including: Linear time series analysis, with coverage of exponential smoothing for forecasting and methods for model comparison Different approaches to calculating asset volatility and various volatility models High-frequency financial data and simple models for price changes, trading intensity, and realized volatility Quantitative methods for risk management, including value at risk and conditional value at risk Econometric and statistical methods for risk assessment based on extreme value theory and quantile regression Throughout the book, the visual nature of the topic is showcased through graphical representations in R, and two detailed case studies demonstrate the relevance of statistics in finance. A related website features additional data sets and R scripts so readers can create their own simulations and test their comprehension of the presented techniques. An Introduction to Analysis of Financial Data with R is an excellent book for introductory courses on time series and business statistics at the upper-undergraduate and graduate level. The book is also an excellent resource for researchers and practitioners in the fields of business, finance, and economics who would like to enhance their understanding of financial data and today's financial markets.
Author: Ruey S. Tsay
Publisher: John Wiley & Sons
ISBN: 1118017099
Category : Mathematics
Languages : en
Pages : 724
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Book Description
This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods described. The author begins with basic characteristics of financial time series data before covering three main topics: Analysis and application of univariate financial time series The return series of multiple assets Bayesian inference in finance methods Key features of the new edition include additional coverage of modern day topics such as arbitrage, pair trading, realized volatility, and credit risk modeling; a smooth transition from S-Plus to R; and expanded empirical financial data sets. The overall objective of the book is to provide some knowledge of financial time series, introduce some statistical tools useful for analyzing these series and gain experience in financial applications of various econometric methods.
Author: Daniel Peña
Publisher: John Wiley & Sons
ISBN: 1119417384
Category : Mathematics
Languages : en
Pages : 562
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Book Description
Master advanced topics in the analysis of large, dynamically dependent datasets with this insightful resource Statistical Learning with Big Dependent Data delivers a comprehensive presentation of the statistical and machine learning methods useful for analyzing and forecasting large and dynamically dependent data sets. The book presents automatic procedures for modelling and forecasting large sets of time series data. Beginning with some visualization tools, the book discusses procedures and methods for finding outliers, clusters, and other types of heterogeneity in big dependent data. It then introduces various dimension reduction methods, including regularization and factor models such as regularized Lasso in the presence of dynamical dependence and dynamic factor models. The book also covers other forecasting procedures, including index models, partial least squares, boosting, and now-casting. It further presents machine-learning methods, including neural network, deep learning, classification and regression trees and random forests. Finally, procedures for modelling and forecasting spatio-temporal dependent data are also presented. Throughout the book, the advantages and disadvantages of the methods discussed are given. The book uses real-world examples to demonstrate applications, including use of many R packages. Finally, an R package associated with the book is available to assist readers in reproducing the analyses of examples and to facilitate real applications. Analysis of Big Dependent Data includes a wide variety of topics for modeling and understanding big dependent data, like: New ways to plot large sets of time series An automatic procedure to build univariate ARMA models for individual components of a large data set Powerful outlier detection procedures for large sets of related time series New methods for finding the number of clusters of time series and discrimination methods , including vector support machines, for time series Broad coverage of dynamic factor models including new representations and estimation methods for generalized dynamic factor models Discussion on the usefulness of lasso with time series and an evaluation of several machine learning procedure for forecasting large sets of time series Forecasting large sets of time series with exogenous variables, including discussions of index models, partial least squares, and boosting. Introduction of modern procedures for modeling and forecasting spatio-temporal data Perfect for PhD students and researchers in business, economics, engineering, and science: Statistical Learning with Big Dependent Data also belongs to the bookshelves of practitioners in these fields who hope to improve their understanding of statistical and machine learning methods for analyzing and forecasting big dependent data.
Author: CFP Board
Publisher: John Wiley & Sons
ISBN: 1119440904
Category : Business & Economics
Languages : en
Pages : 340
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Book Description
A Client-Centered approach to Financial Planning Practice built by Research for Practitioners The second in the CFP Board Center for Financial Planning Series, Client Psychology explores the biases, behaviors, and perceptions that impact client decision-making and overall financial well-being. This book, written for practitioners, researchers, and educators, outlines the theory behind many of these areas while also explicitly stating how these related areas directly impact financial planning practice. Additionally, some chapters build an argument based solely upon theory while others will have exclusively practical applications. Defines an entirely new area of focus within financial planning practice and research: Client Psychology Serves as the essential reference for financial planners on client psychology Builds upon and expands the body of knowledge for financial planning Provides insight regarding the factors that impact client financial decision-making from a multidisciplinary approach If you’re a CFP® professional, researcher, financial advisor, or student pursuing a career in financial planning or financial services, this book deserves a prominent spot on your professional bookshelf.
Author: W. Sean Cleary
Publisher: John Wiley & Sons
ISBN: 1118629582
Category : Business & Economics
Languages : en
Pages : 388
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Book Description
A concise and practical guide to preparing for the Canadian Securities Exam For anyone dreaming of a career in the Canadian finance industry, whether in banking, brokerage, financial planning, or mutual funds, passing the Canadian Securities Exam is the first step on the path to success. But there's a lot of material to know and almost everyone needs a helping hand. Thankfully, the Canadian Securities Exam Fast-Track Study Guide is the perfect quick-review tool covering all the basics you need to know. It includes "quick hits" of the key points in language that's straightforward and easy to understand. Fully updated to cover the latest topics added to the CSC curriculum, this is the perfect study guide for staying cool under pressure and getting the best score you can. An ideal way to prepare for the Canadian Securities Exam, this handy guide will have you fully prepped and ready to go in no time flat. An affordable, compact study guide that simply summarizes must-know information Features 400 sample questions, including multiple choice chapter review questions and two full practice exams, as well as cross-referencing to the CSC textbook Written by a professor of finance and the Director of the Master of Management in Finance program at Queen's School of Business, Queen's University Ideal for finance students who need a quick review of the vital information they need to pass the Canadian Securities Exam
