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1. |
Record Nr. |
UNINA9910138907703321 |
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Autore |
Damodaran Aswath |
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Titolo |
Damodaran on valuation : security analysis for investment and corporate finance / / Aswath Damodaran |
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Pubbl/distr/stampa |
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Hoboken, New Jersey : , : Wiley, , 2006 |
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©2006 |
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ISBN |
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1-119-20178-0 |
1-118-16108-4 |
0-470-04937-5 |
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Edizione |
[2nd ed.] |
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Descrizione fisica |
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1 online resource (1373 p.) |
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Collana |
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Disciplina |
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Soggetti |
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Corporations - Valuation - Mathematical models |
Capital assets pricing model |
Investment analysis |
Valoració d'empreses |
Models matemàtics |
Anàlisi financera |
Electronic books. |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cover; Contents; Title; Copyright; Dedication; Preface; Chapter 1: Introduction to Valuation; A Philosophical Basis for Valuation; Inside the Valuation Process; Approaches to Valuation; Role of Valuation; Conclusion; Part One: Discounted Cash Flow Valuation; Chapter 2: Estimating Discount Rates; What is Risk?; Cost of Equity; From Cost of Equity to Cost of Capital; Conclusion; Chapter 3: Measuring Cash Flows; Categorizing Cash Flows; Earnings; Tax Effect; Reinvestment Needs; From Firm to Equity Cash Flows; Conclusion; Chapter 4: Forecasting Cash Flows |
Structure of Discounted Cash Flow ValuationLength of Extraordinary Growth Period; Detailed Cash Flow Forecasts; Terminal Value; Estimation Approaches; Conclusion; Chapter 5: Equity Discounted Cash |
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Flow Models; Dividend Discount Models; FCFE (Potential Dividend) Discount Models; FCFE Versus Dividend Discount Model Valuation; Per Share Versus Aggregate Valuation; Conclusion; Chapter 6: Firm Valuation Models; Cost of Capital Approach; Adjusted Present Value Approach; Excess Return Models; Capital Structure and Firm Value; Conclusion; Part Two: Relative Valuation |
Chapter 7: Relative Valuation: First PrinciplesWhat is Relative Valuation?; Ubiquity of Relative Valuation; Reasons for Popularity and Potential Pitfalls; Standardized Values and Multiples; Four Basic Steps to Using Multiples; Reconciling Relative and Discounted Cash Flow Valuations; Conclusion; Chapter 8: Equity Multiples; Definitions of Equity Multiples; Distributional Characteristics of Equity Multiples; Analysis of Equity Multiples; Applications of Equity Multiples; Conclusion; Chapter 9: Value Multiples; Definition of Value Multiples; Distributional Characteristics of Value Multiples |
Analysis of Value MultiplesApplications of Value Multiples; Conclusion; Part Three: Loose Ends in Valuation; Chapter 10: Cash, Cross Holdings, and Other Assets; Cash and Near-Cash Investments; Financial Investments; Holdings in Other Firms; Other Nonoperating Assets; Conclusion; Appendix 10.1: Industry Averages: Cash Ratios-January 2005; Chapter 11: Employee Equity Options and Compensation; Equity-Based Compensation; Employee Options; Restricted Stock; Conclusion; Chapter 12: The Value of Intangibles; Importance of Intangible Assets; Independent and Cash-Flow-Generating Intangible Assets |
Firmwide Cash-Flow-Generating Intangible AssetsIntangible Assets with Potential Future Cash Flows; Conclusion; Appendix 12.1: Option Pricing Models; Chapter 13: The Value of Control; Measuring the Expected Value of Control; Manifestations of the Value of Control; Conclusion; Chapter 14: The Value of Liquidity; Measuring Illiquidity; Cost of Illiquidity: Theory; Cost of Illiquidity: Empirical Evidence; Dealing with Illiquidity in Valuation; Consequences of Illiquidity; Conclusion; Chapter 15: The Value of Synergy; What is Synergy?; Valuing Synergy; Dubious Synergies |
Evidence on Synergy-Value Created and Added |
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Sommario/riassunto |
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""Aswath Damodaran is simply the best valuation teacher around. If you are interested in the theory or practice of valuation, you should have Damodaran on Valuation on your bookshelf. You can bet that I do.""-- Michael J. Mauboussin, Chief Investment Strategist, Legg Mason Capital Management and author of More Than You Know: Finding Financial Wisdom in Unconventional Places In order to be a successful CEO, corporate strategist, or analyst, understanding the valuation process is a necessity. The second edition of Damodaran on Valuation stands out as the most reliable book for answe |
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2. |
Record Nr. |
UNINA9910787201303321 |
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Titolo |
Protean selves : first-person voices in twenty-first-century french and francophone / / edited by Adrienne Angelo and Erika Fülöp ; contributors, Jean Anderson [and thirteen others] |
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Pubbl/distr/stampa |
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Newcastle upon Tyne, England : , : Cambridge Scholars Publishing, , 2014 |
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©2014 |
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ISBN |
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Descrizione fisica |
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1 online resource (211 p.) |
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Disciplina |
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Soggetti |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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TABLE OF CONTENTS; ACKNOWLEDGEMENTS; INTRODUCTION; SECTION I; CHAPTER ONE; CHAPTER TWO; CHAPTER THREE; CHAPTER FOUR; SECTION II; CHAPTER FIVE; CHAPTER SIX; CHAPTER SEVEN; SECTION III; CHAPTER EIGHT; CHAPTER NINE; CHAPTER TEN; CHAPTER ELEVEN; SECTION IV; CHAPTER TWELVE; CHAPTER THIRTEEN; CONTRIBUTORS; INDEX |
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Sommario/riassunto |
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What does it mean to write ""I"" in postmodern society, in a world in which technological advances and increased globalization have complicated notions of authenticity, origins, and selfhood? Under what circumstances and to what extent do authors lend their scriptural authority to fictional counterparts? What role does naming, or, conversely, anonymity play vis-à-vis the writing and written ""I""? What aspects of identity are subject to (auto)fictional manipulations? And how do these complicated ... |
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3. |
Record Nr. |
UNINA9910743346603321 |
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Autore |
Uddin Mohammad Shorif |
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Titolo |
Computer Vision and Machine Learning in Agriculture, Volume 2 / / edited by Mohammad Shorif Uddin, Jagdish Chand Bansal |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
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ISBN |
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981-16-9991-7 |
981-16-9990-9 |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (269 pages) |
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Collana |
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Algorithms for Intelligent Systems, , 2524-7573 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Machine learning |
Robotics |
Agriculture |
Image processing - Digital techniques |
Computer vision |
Computational Intelligence |
Machine Learning |
Computer Imaging, Vision, Pattern Recognition and Graphics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Harvesting robots for smart agriculture -- Drone-based weed detection architectures using deep learning algorithms and real-time analytics -- A deep learning-based detection system of multi-class crops and orchards using a UAV -- Real-life agricultural data retrieval for large scale annotation flow optimization -- Design and analysis of IoT-based modern agriculture monitoring system for real time data collection -- Estimation of wheat yield based on precipitation and evapotranspiration using soft computing methods -- Coconut maturity recognition using convolutional neural network -- Agri food products quality assessment methods -- Medicinal plant recognition from leaf images using deep learning -- ESMO based plant leaf disease identification: A machine learning approach -- Deep learning-based cuali flower disease classification -- An Intelligent System for Crop Disease Identification |
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and Dispersion Forecasting in SriLanka -- Apple leaves diseases detection using deep convolutional neural networksand transfer learning -- A deep learning paradigm for detection and segmentation of plant leaves diseases -- Early-stage prediction of plant leaf diseases using deep learning models. |
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Sommario/riassunto |
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This book is as an extension of previous book “Computer Vision and Machine Learning in Agriculture” for academicians, researchers, and professionals interested in solving the problems of agricultural plants and products for boosting production by rendering the advanced machine learning including deep learning tools and techniques to computer vision algorithms. The book contains 15 chapters. The first three chapters are devoted to crops harvesting, weed, and multi-class crops detection with the help of robots and UAVs through machine learning and deep learning algorithms for smart agriculture. Next, two chapters describe agricultural data retrievals and data collections. Chapters 6, 7, 8 and 9 focuses on yield estimation, crop maturity detection, agri-food product quality assessment, and medicinal plant recognition, respectively. The remaining six chapters concentrates on optimized disease recognition through computer vision-based machine and deep learning strategies. |
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