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Author: John B. Guerard Publisher: SAS Institute ISBN: 1635266890 Category : Computers Languages : en Pages : 277
Book Description
Choose statistically significant stock selection models using SAS® Portfolio and Investment Analysis with SAS®: Financial Modeling Techniques for Optimization is an introduction to using SAS to choose statistically significant stock selection models, create mean-variance efficient portfolios, and aggressively invest to maximize the geometric mean. Based on the pioneering portfolio selection techniques of Harry Markowitz and others, this book shows that maximizing the geometric mean maximizes the utility of final wealth. The authors draw on decades of experience as teachers and practitioners of financial modeling to bridge the gap between theory and application. Using real-world data, the book illustrates the concept of risk-return analysis and explains why intelligent investors prefer stocks over bonds. The authors first explain how to build expected return models based on expected earnings data, valuation ratios, and past stock price performance using PROC ROBUSTREG. They then show how to construct and manage portfolios by combining the expected return and risk models. Finally, readers learn how to perform hypothesis testing using Bayesian methods to add confidence when data mining from large financial databases.
Author: John B. Guerard Publisher: SAS Institute ISBN: 1635266890 Category : Computers Languages : en Pages : 277
Book Description
Choose statistically significant stock selection models using SAS® Portfolio and Investment Analysis with SAS®: Financial Modeling Techniques for Optimization is an introduction to using SAS to choose statistically significant stock selection models, create mean-variance efficient portfolios, and aggressively invest to maximize the geometric mean. Based on the pioneering portfolio selection techniques of Harry Markowitz and others, this book shows that maximizing the geometric mean maximizes the utility of final wealth. The authors draw on decades of experience as teachers and practitioners of financial modeling to bridge the gap between theory and application. Using real-world data, the book illustrates the concept of risk-return analysis and explains why intelligent investors prefer stocks over bonds. The authors first explain how to build expected return models based on expected earnings data, valuation ratios, and past stock price performance using PROC ROBUSTREG. They then show how to construct and manage portfolios by combining the expected return and risk models. Finally, readers learn how to perform hypothesis testing using Bayesian methods to add confidence when data mining from large financial databases.
Author: SAS Institute Publisher: SAS Press ISBN: 9781555446239 Category : Computers Languages : en Pages : 243
Book Description
Whether you want to analyze risk and return of stocks individually or in portfolios, this book gives you lots of examples to copy and use "as is" or you can easily adapt them to your specific needs. The SAS example code is thoroughly explained--for each procedure, for each statement, and for each option. Even if you're a novice, you can quickly learn the fundamentals of SAS software, and easily gain programming experience. You will be able to select assets to build your portfolio; value stocks, bonds, and options; evaluate portfolio performance; analyze fundamental data; and perform risk analysis.
Author: Publisher: ISBN: 9781607649113 Category : Econometrics Languages : en Pages : 0
Book Description
Annotation Provides detailed reference material for using SAS/ETS software and guides you through the analysis and forecasting of features such as univariate and multivariate time series, cross-sectional time series, seasonal adjustments, multiequational nonlinear models, discrete choice models, limited dependent variable models, portfolio analysis, and generation of financial reports, with introductory and advanced examples for each procedure. You can also find complete information about two easy-to-use point-and-click applications: the Time Series Forecasting System, for automatic and interactive time series modeling and forecasting, and the Investment Analysis System, for time-value of money analysis of a variety of investments.
Author: SAS Institute Publisher: SAS Institute ISBN: 9781612903842 Category : COMPUTERS Languages : en Pages : 3468
Book Description
Provides detailed reference material for using SAS/ETS software and guides you through the analysis and forecasting of features such as univariate and multivariate time series, cross-sectional time series, seasonal adjustments, multiequational nonlinear models, discrete choice models, limited dependent variable models, portfolio analysis, and generation of financial reports, with introductory and advanced examples for each procedure. You can also find complete information about two easy-to-use point-and-click applications: the Time Series Forecasting System, for automatic and interactive time series modeling and forecasting, and the Investment Analysis System, for time-value of money analysis of a variety of investments.
Author: Frank K. Reilly Publisher: Cengage AU ISBN: 0170416038 Category : Business & Economics Languages : en Pages : 1062
Book Description
This first Asia-Pacific edition of Reilly/Brown’s Investment Analysis and Portfolio Management builds on the authors’ strong reputations for combining solid theory with practical application and has been developed especially for courses across the Australia, New Zealand, and Asia-Pacific regions. The real-world illustrations and hands-on activities enhance an already rigourous, empirical approach to topics such as investment instruments, capital markets, behavioural finance, hedge funds, and international investment. The text also emphasises how investment practice and theory are influenced by globalisation.
Author: John B Guerard Jr Publisher: World Scientific ISBN: 9811222649 Category : Business & Economics Languages : en Pages : 817
Book Description
This book introduces the readers to the rapidly growing literature and latest results on financial, fundamental and seasonal anomalies, stock selection modeling and portfolio management. Fifty years ago, finance professors taught the Efficient Markets Hypothesis which states that the average investor could not outperform the stock market based on technical, seasonal and fundamental data. Many, if not most faculty and investors, no longer share that opinion. In this book, the authors report original empirical evidence that applied investment research can produce statistically significant stock selection and excess portfolio returns in the US, and larger excess returns in international and emerging markets.
Author: SAS Publishing Publisher: ISBN: 9781590479490 Category : Econometrics Languages : en Pages : 0
Book Description
Provides detailed reference material for using SAS/ETS software and guides you through the analysis and forecasting of features such as univariate and multivariate time series, cross-sectional time series, seasonal adjustments, multiequational nonlinear models, discrete choice models, limited dependent variable models, portfolio analysis, and generation of financial reports, with introductory and advanced examples for each procedure. You can also find complete information about two easy-to-use point-and-click applications: the Time Series Forecasting System, for automatic and interactive time series modeling and forecasting, and the Investment Analysis System, for time-value of money analysis of a variety of investments.
Author: Publisher: ISBN: 9781555442224 Category : Investment analysis Languages : en Pages : 0
Book Description
Improve your market timing and investment strategies by using SAS for technical analysis of stock market data. Numerous step-by-step examples show you how to generate practical results easily and quickly. Topics include forecasting with time-series models, using crossover models to generate trading signals, calculating and using of price and volume rates of change, momentum and relative strength indicators, and a variety of other indicators. This book is designed for users with little previous experience with SAS who want to perform technical analysis of stock market data.
Author: John B. Guerard Jr. Publisher: Springer Nature ISBN: 3030435474 Category : Business & Economics Languages : en Pages : 619
Book Description
This textbook presents a comprehensive treatment of the legal arrangement of the corporation, the instruments and institutions through which capital can be raised, the management of the flow of funds through the individual firm, and the methods of dividing the risks and returns among the various contributors of funds. Now in its second edition, the book covers a wide range of topics in corporate finance, from time series modeling and regression analysis to multi-factor risk models and the Capital Asset Pricing Model. Guerard, Gultekin and Saxena build significantly on the first edition of the text, but retain the core chapters on cornerstone topics such as mergers and acquisitions, regulatory environments, bankruptcy and various other foundational concepts of corporate finance. New to the second edition are examinations of APT portfolio selection and time series modeling and forecasting through SAS, SCA and OxMetrics programming, FactSet fundamental data templates. This is intended to be a graduate-level textbook, and could be used as a primary text in upper level MBA and Financial Engineering courses, as well as a supplementary text for graduate courses in financial data analysis and financial investments.
Author: John B. Guerard
Author: John B. Guerard
Author: SAS Institute
Author: 
Author: SAS Institute
Author: Frank K. Reilly
Author: Frank K. Reilly
Author: John B Guerard Jr
Author: SAS Publishing
Author: 
Author: John B. Guerard Jr.