Equity asset valuation / / Jerald E. Pinto [and four others]

• Record Nr.: UNINA9910460856303321
• Pubbl/distr/stampa: Hoboken, New Jersey : , : Wiley, , 2015; ©2015
• ISBN: 1-119-10462-9
• Edizione: [Third edition.]
• Descrizione fisica: 1 online resource (622 p.)
• Collana: CFA Institute Investment Series
• Disciplina: 332.6
• Soggetti: Investment analysis; Securities - Valuation; Investments - Valuation; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
• Nota di contenuto: Equity Asset Valuation; Contents; Foreword; Preface; Acknowledgments; About the CFA Institute Investment Series; Chapter 1 Equity Valuation: Applications & Processes; Learning Outcomes; 1. Introduction; 2. Value Definitions and Valuation Applications; 2.1. What Is Value?; 2.2. Applications of Equity Valuation; 3. The Valuation Process; 3.1. Understanding the Business; 3.2. Forecasting Company Performance; 3.3. Selecting the Appropriate Valuation Model; 3.4. Converting Forecasts to a Valuation; 3.5. Applying the Valuation Conclusion: The Analyst's Role and Responsibilities; 4. Communicating Valuation Results4.1. Contents of a Research Report; 4.2. Format of a Research Report; 4.3. Research Reporting Responsibilities; 5. Summary; References; Problems; Chapter 2 Return Concepts; Learning Outcomes; 1. Introduction; 2. Return Concepts; 2.1. Holding Period Return; 2.2. Realized and Expected (Holding Period) Return; 2.3. Required Return; 2.4. Expected Return Estimates from Intrinsic Value Estimates; 2.5. Discount Rate; 2.6. Internal Rate of Return; 3. The Equity Risk Premium; 3.1. Historical Estimates; 3.2. Forward-Looking Estimates; 4. The Required Return on Equity; 4.1. The Capital Asset Pricing Model4.2. Multifactor Models; 4.3. Build-; Up Method Estimates of the Required Return on Equity; 4.4. The Required Return on Equity: International Issues; 5. The Weighted Average Cost of Capital; 6. Discount Rate Selection in Relation to Cash Flows; 7. Summary; References; Problems; Chapter 3 Introduction to Industry and Company Analysis; Learning Outcomes; 1. Introduction; 2. Uses of Industry Analysis; 3. Approaches to Identifying Similar Companies; 3.1. Products and/or Services Supplied; 3.2. Business-Cycle Sensitivities; 3.3. Statistical Similarities; 4. Industry Classification Systems4.1. Commercial Industry Classification Systems; 4.2. Governmental Industry Classification Systems; 4.3. Strengths and Weaknesses of Current Systems; 4.4. Constructing a Peer Group; 5. Describing and Analyzing an Industry; 5.1. Principles of Strategic Analysis; 5.2. External Influences on Industry Growth, Profitability, and Risk; 6. Company Analysis; 6.1. Elements That Should be Covered in a Company Analysis; 6.2. Spreadsheet Modeling; 7. Summary; References; Problems; Chapter 4 Industry and Company analysis; Learning Outcomes; 1. Introduction; 2. Financial Modeling: An Overview2.1. Income Statement Modeling: Revenue; 2.2. Income Statement Modeling: Operating Costs; 2.3. Income Statement Modeling: Non-Operating Costs; 2.4. Income Statement Modeling: Other Items; 2.5. Balance Sheet and Cash Flow Statement Modeling; 2.6. Scenario Analysis and Sensitivity Analysis; 3. The Impact of Competitive Factors on Prices and Costs; 4. Inflation and Deflation; 4.1. Sales Projections with Inflation and Deflation; 4.2. Cost Projections with Inflation and Deflation; 5. Technological Developments; 6. Long-Term Forecasting; 7. Building a Model; 7.1. Industry Overview

Binary data analysis of randomized clinical trials with noncompliance / / Kung-Jong Lui

• Record Nr.: UNINA9910813859003321
• Autore: Lui Kung-Jong
• Pubbl/distr/stampa: Chichester, West Sussex, United Kingdom, : John Wiley & Sons Inc., 2011
• ISBN: 1-283-40536-9; 9786613405364; 1-119-99160-9; 1-119-99161-7
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (332 p.)
• Collana: Statistics in practice
• Disciplina: 615.5072/4
• Soggetti: Clinical trials - Statistical methods; Drugs - Testing - Statistical methods
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Binary Data Analysis of Randomized Clinical Trials with Noncompliance; Contents; Preface; About the Author; 1 Randomized clinical trials with noncompliance: issues, definitions and problems of commonly used analyses; 1.1 Randomized encouragement design (RED); 1.2 Randomized consent designs; 1.2.1 Single-consent randomized design (SCRD); 1.2.2 Double-consent randomized design (DCRD); 1.3 Treatment efficacy versus programmatic effectiveness; 1.4 Definitions of commonly used terms and assumptions; 1.5 Most commonly used analyses for a RCT with noncompliance; Exercises; 2 Randomized clinical trials with noncompliance under parallel groups design 2.1 Testing superiority; 2.2 Testing noninferiority; 2.2.1 Using the difference in proportions; 2.2.2 Using the ratio of proportions; 2.2.3 Using the odds ratio of proportions; 2.3 Testing equivalence; 2.3.1 Using the difference in proportions; 2.3.2 Using the ratio of proportions; 2.3.3 Using the odds ratio of proportions; 2.4 Interval estimation; 2.4.1 Estimation of the proportion difference; 2.4.2 Estimation of the proportion ratio; 2.4.3 Estimation of the odds ratio; 2.5 Sample size determination; 2.5.1 Sample size calculation for testing superiority 2.5.2 Sample size calculation for testing noninferiority; 2.5.3 Sample size calculation for testing equivalence; 2.6 Risk model-based approach; 2.6.1 Constant risk additive model; 2.6.2 Constant risk multiplicative model; 2.6.3 Generalized risk additive model; 2.6.4 Generalized risk multiplicative model; Exercises; Appendix; 3 Randomized clinical trials with noncompliance in stratified sampling; 3.1 Testing superiority; 3.2 Testing noninferiority; 3.2.1 Using the difference in proportions; 3.2.2 Using the ratio of proportions; 3.2.3 Using the odds ratio of proportions 3.3 Testing equivalence; 3.3.1 Using the difference in proportions; 3.3.2 Using the ratio of proportions; 3.3.3 Using the odds ratio of proportions; 3.4 Interval estimation; 3.4.1 Estimation of the proportion difference; 3.4.2 Estimation of the proportion ratio; 3.4.3 Estimation of the odds ratio; 3.5 Test homogeneity of index in large strata; 3.5.1 Testing homogeneity of the proportion difference; 3.5.2 Testing homogeneity of the proportion ratio; 3.5.3 Test homogeneity of the odds ratio; Exercises; Appendix; 4 Randomized clinical trials with noncompliance under cluster sampling 4.1 Testing superiority; 4.2 Testing noninferiority; 4.2.1 Using the difference in proportions; 4.2.2 Using the ratio of proportions; 4.2.3 Using the odds ratio of proportions; 4.3 Testing equivalence; 4.3.1 Using the difference in proportions; 4.3.2 Using the ratio of proportions; 4.3.3 Using the odds ratio of proportions; 4.4 Interval estimation; 4.4.1 Estimation of the proportion difference; 4.4.2 Estimation of the proportion ratio; 4.4.3 Estimation of the odds ratio; 4.5 Sample size determination; 4.5.1 Sample size calculation for testing superiority
• Sommario/riassunto: It is quite common in a randomized clinical trial (RCT) to encounter patients who do not comply with their assigned treatment. Since noncompliance often occurs non-randomly, the commonly-used approaches, including both the as-treated (AT) and as-protocol (AP) analysis, and the intent-to-treat (ITT) (or as-randomized) analysis, are all well known to possibly produce a biased inference of the treatment efficacy. This book provides a systematic and organized approach to analyzing data for RCTs with noncompliance under the most frequently-encountered situations. These include parallel sampling,