An Introduction to Analysis of Financial Data with R
Mega Sale! Save 21% on the An Introduction to Analysis of Financial Data with R by Wiley at Translate This Website. Hurry! Limited time offer. Offer valid only while supplies last. 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
Product Description & Reviews
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.
Features & Highlights
|Item Weight:||1.54 pounds|
|Item Size:||1.1 x 9.2 x 9.2 inches|
|Package Weight:||1.54 pounds|
|Package Size:||6.3 x 1.1 x 1.1 inches|
Have questions about this item, or would like to inquire about a custom or bulk order?
If you have any questions about this product by Wiley, contact us by completing and submitting the form below. If you are looking for a specif part number, please include it with your message.
Related Best Sellers
By American Library Association
ean: 9780838989432, isbn: 0838989438,
An academic library,s budget and expenditures demonstrate its accountability, effectiveness, efficiency, and sustainability to its institution. All library managers must understand and manage budgets, from planning through implementation, reporting, and conducting audits. Budgeters also need familiarity with the use of metrics, the ability to relate the use of the data gathered to improved performance and organizational efficiency, and automated management information systems to effectively
By Oxford University Press
mpn: numerous figures, ean: 9780198526650, isbn: 0198526652,
Financial markets are a fascinating example of 'complexity in action': a real-world complex system whose evolution is dictated by the decisions of crowds of traders who are continually trying to win in a vast global 'game'. This book draws on recent ideas from the highly- topical science of complexity and complex systems, to address the following questions: how do financial markets behave? Why do financial markets behave in the way that they do? What can we do to minimize risk, given this
ean: 9780199755479, isbn: 0199755477,
Finance is a topic that requires much computation, and in today's business world that computation is done almost entirely using Excel software. Despite this, existing finance textbooks continue to rely heavily on hand calculators. Business school students--whose background in Excel software is often weak when they come into finance courses--find that when they leave the academic environment they have to relearn both finance and the software. Addressing this issue, Principles of Finance with
ean: 9780470015384, isbn: 0470015381,
This book introduces the reader to the C++ programming language andhow to use it to write applications in quantitative finance (QF)and related areas. No previous knowledge of C or C++ is required-- experience with VBA, Matlab or other programming languageis sufficient. The book adopts an incremental approach; startingfrom basic principles then moving on to advanced complex techniquesand then to real-life applications in financial engineering. Thereare five major parts in the book: C++
By McGraw Hill
ean: 9780070568242, isbn: 0070568243,
Special Purpose Series In French and Spanish With a growing number of companies looking for employees who can ''speak the business'' in a foreign language, individuals will find the competition for jobs fiercer than ever. Everyone can prepare for these challenges by choosing from this unique series..
ean: 9781119037996, isbn: 1119037999,
Supercharge options analytics and hedging using the power ofPython Derivatives Analytics with Python shows you how toimplement market-consistent valuation and hedging approaches usingadvanced financial models, efficient numerical techniques, and thepowerful capabilities of the Python programming language. Thisunique guide offers detailed explanations of all theory, methods,and processes, giving you the background and tools necessary tovalue stock index options from a sound foundation. You'll
ean: 9781119167914, isbn: 1119167914,
Leverage Python for expert-level volatility and variance derivative tradingListed Volatility and Variance Derivatives is a comprehensive treatment of all aspects of these increasingly popular derivatives products, and has the distinction of being both the first to cover European volatility and variance products provided by Eurex and the first to offer Python code for implementing comprehensive quantitative analyses of these financial products. For those who want to get started right away, the
ean: 9780470398128, isbn: 0470398124,
This book is designed to start with simple examples that progressively develop the reader's confidence to take on more complex tasks. There is very little theoretical discussion about computer science, operations research algorithms, mathematics, or finance. The thrust of the book is to teach the reader to break complex tasks down into simple tasks. It then looks to implement those simple tasks into VBA code using a critical subset of the features of the language. The tentative contents is: (1)