Survival Kit for an Equity Analyst
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portes grátis
Survival Kit for an Equity Analyst
The Essentials You Must Know
Horie, Shin
John Wiley & Sons Inc
10/2021
208
Dura
Inglês
9781119822448
15 a 20 dias
454
Descrição não disponível.
Preface: Why I Wanted to Write This Book xi
Introduction: How to Approach Company Analysis xv
List of Acronyms xix
Part I: Lessons From the Past: My Story as an Analyst 1
From Fish Cakes to Computer Numerical Control (1988-1995) 2
Not Just a Japanese Tourist - Becoming a China H-share Analyst (1996-1998) 5
A Truly Global Research Experience - Semiconductor Analyst (1998-2007) 7
New Lexicon: Clinical Trial, Cap Rate, Embedded Value, Metal Spread (2008-2013) 11
Importing DM Experience to EM: From Japan to Asia-Pacific (2014-2017) 13
Connecting the Dots: From Asia to Global (2018-now) 16
Part II: Laying the Groundwork 19
Chapter 1: Understand the 'Character' of the Industry 21
Six Basic Steps for Forecasting Industry Growth 22
TAM Growth Rate 27
Ten Additional Angles for Testing Forecasts 28
Chapter 2: Assess the Earnings Drivers in Different Industries 37
Hyper Growth - Internet, Fintech, Biotechnology 45
Secular Growth - Software, Medical Technology 48
Cyclical - Capital Goods, Transport, Energy,
Commodities, Chemicals, Autos 49
Cyclical Growth - Semiconductor, Electronic Components, Technology Hardware, Clean Energy 54
Stable - Consumer Staples, Retail, Consumer Discretionary, Pharmaceutical, Media, Business Services 58
Interest Rate Sensitive - REITs, Property Developers, Banks, Insurance 63
Regulated - Utilities, Telecoms 66
Chapter 3: Identify the 'Personality' of the Company 71
Product and Service 71
Origin and History 72
Management Profile 73
Ownership Structure 73
Value Chain 74
Competitive Moat 75
Track Record of Strategic Decisions 76
Corporate Culture by Country 77
Earnings Guidance Track Record 77
Controversy Record 78
Management Quality - A Framework 78
Part III: Analyse and Apply the Findings 83
Chapter 4: Put Findings into the Earnings Model 85
Segmental Revenue Forecast 87
Income Statement Forecast 88
Balance Sheet Forecast 95
Cash Flow Forecast 98
How to Put Cyclicality into Long-term Earnings Forecasts 100
Quarterly Forecasts can be Helpful 100
A Birdseye View is Helpful 101
Financial and Property Sectors are Unique 101
Chapter 5: Summarize All Thoughts 105
A Suggested Method for Creating a Practical Scorecard 105
Chapter 6: Find the Appropriate Valuation Framework 109
Hyper Growth - Internet, Biotechnology 112
Secular Growth - Software, Medical Technology 114
Cyclical - Capital Goods, Transport, Energy,
Commodities, Chemicals, Autos 115
Cyclical Growth - Semiconductor, Technology Hardware, Clean Energy 116
Stable - Consumer Staples, Retail, Consumer Discretionary, Pharmaceutical, Media, Business Services 117
Interest Rate Sensitive - Banks, Emerging Market Banks, Insurance, Property, REITs 118
Regulated - Utilities, Telecoms 120
Conglomerates 121
Additional Considerations on Valuation 124
Chapter 7: Differentiation versus Street 131
Is the View Actually Different? 131
Where is the Difference? 132
What is Driving the Difference? 133
Value of an Undifferentiated Conclusion 134
Part IV: What to Research and How to Power the Analysis 135
Chapter 8: How to Generate Exciting Ideas 137
1: Burning Questions 137
2: Products to Solve Problems 138
3: Forgotten New Technologies 138
4: 'Little Stories' 139
5: New Language 140
6: B2B and Orphan Stocks 140
7: The Second or Third Derivatives of Structural Changes 141
8: Local Trends 141
9: Inputs from the Real World 141
Chapter 9: How to Deal with Disruptors, Emerging Markets, ESG, and Downturns 145
How to Forecast and Value 'Disruptors' 145
How Should Emerging Markets be Looked at? 149
How to Think about ESG Issues 151
How to Cope with Economic Downturns 155
Chapter 10: Using Soft Skills to Power the Analysis 157
How to Build a Relationship with Companies 157
How to Leverage the Team 159
How to Communicate Ideas Effectively 161
What Types of Training Should New Analysts Ask for? 163
Time Management 165
Part V: Recap and Closing Thoughts 169
About the Author 173
Acknowledgements 175
Index 177
Introduction: How to Approach Company Analysis xv
List of Acronyms xix
Part I: Lessons From the Past: My Story as an Analyst 1
From Fish Cakes to Computer Numerical Control (1988-1995) 2
Not Just a Japanese Tourist - Becoming a China H-share Analyst (1996-1998) 5
A Truly Global Research Experience - Semiconductor Analyst (1998-2007) 7
New Lexicon: Clinical Trial, Cap Rate, Embedded Value, Metal Spread (2008-2013) 11
Importing DM Experience to EM: From Japan to Asia-Pacific (2014-2017) 13
Connecting the Dots: From Asia to Global (2018-now) 16
Part II: Laying the Groundwork 19
Chapter 1: Understand the 'Character' of the Industry 21
Six Basic Steps for Forecasting Industry Growth 22
TAM Growth Rate 27
Ten Additional Angles for Testing Forecasts 28
Chapter 2: Assess the Earnings Drivers in Different Industries 37
Hyper Growth - Internet, Fintech, Biotechnology 45
Secular Growth - Software, Medical Technology 48
Cyclical - Capital Goods, Transport, Energy,
Commodities, Chemicals, Autos 49
Cyclical Growth - Semiconductor, Electronic Components, Technology Hardware, Clean Energy 54
Stable - Consumer Staples, Retail, Consumer Discretionary, Pharmaceutical, Media, Business Services 58
Interest Rate Sensitive - REITs, Property Developers, Banks, Insurance 63
Regulated - Utilities, Telecoms 66
Chapter 3: Identify the 'Personality' of the Company 71
Product and Service 71
Origin and History 72
Management Profile 73
Ownership Structure 73
Value Chain 74
Competitive Moat 75
Track Record of Strategic Decisions 76
Corporate Culture by Country 77
Earnings Guidance Track Record 77
Controversy Record 78
Management Quality - A Framework 78
Part III: Analyse and Apply the Findings 83
Chapter 4: Put Findings into the Earnings Model 85
Segmental Revenue Forecast 87
Income Statement Forecast 88
Balance Sheet Forecast 95
Cash Flow Forecast 98
How to Put Cyclicality into Long-term Earnings Forecasts 100
Quarterly Forecasts can be Helpful 100
A Birdseye View is Helpful 101
Financial and Property Sectors are Unique 101
Chapter 5: Summarize All Thoughts 105
A Suggested Method for Creating a Practical Scorecard 105
Chapter 6: Find the Appropriate Valuation Framework 109
Hyper Growth - Internet, Biotechnology 112
Secular Growth - Software, Medical Technology 114
Cyclical - Capital Goods, Transport, Energy,
Commodities, Chemicals, Autos 115
Cyclical Growth - Semiconductor, Technology Hardware, Clean Energy 116
Stable - Consumer Staples, Retail, Consumer Discretionary, Pharmaceutical, Media, Business Services 117
Interest Rate Sensitive - Banks, Emerging Market Banks, Insurance, Property, REITs 118
Regulated - Utilities, Telecoms 120
Conglomerates 121
Additional Considerations on Valuation 124
Chapter 7: Differentiation versus Street 131
Is the View Actually Different? 131
Where is the Difference? 132
What is Driving the Difference? 133
Value of an Undifferentiated Conclusion 134
Part IV: What to Research and How to Power the Analysis 135
Chapter 8: How to Generate Exciting Ideas 137
1: Burning Questions 137
2: Products to Solve Problems 138
3: Forgotten New Technologies 138
4: 'Little Stories' 139
5: New Language 140
6: B2B and Orphan Stocks 140
7: The Second or Third Derivatives of Structural Changes 141
8: Local Trends 141
9: Inputs from the Real World 141
Chapter 9: How to Deal with Disruptors, Emerging Markets, ESG, and Downturns 145
How to Forecast and Value 'Disruptors' 145
How Should Emerging Markets be Looked at? 149
How to Think about ESG Issues 151
How to Cope with Economic Downturns 155
Chapter 10: Using Soft Skills to Power the Analysis 157
How to Build a Relationship with Companies 157
How to Leverage the Team 159
How to Communicate Ideas Effectively 161
What Types of Training Should New Analysts Ask for? 163
Time Management 165
Part V: Recap and Closing Thoughts 169
About the Author 173
Acknowledgements 175
Index 177
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Equity analysis; company analysis; company analysis guide; company analysis handbook; earnings drivers; company profiling; company profiles; company valuation; company modeling; industry analysis; equity research analyst handbook
Preface: Why I Wanted to Write This Book xi
Introduction: How to Approach Company Analysis xv
List of Acronyms xix
Part I: Lessons From the Past: My Story as an Analyst 1
From Fish Cakes to Computer Numerical Control (1988-1995) 2
Not Just a Japanese Tourist - Becoming a China H-share Analyst (1996-1998) 5
A Truly Global Research Experience - Semiconductor Analyst (1998-2007) 7
New Lexicon: Clinical Trial, Cap Rate, Embedded Value, Metal Spread (2008-2013) 11
Importing DM Experience to EM: From Japan to Asia-Pacific (2014-2017) 13
Connecting the Dots: From Asia to Global (2018-now) 16
Part II: Laying the Groundwork 19
Chapter 1: Understand the 'Character' of the Industry 21
Six Basic Steps for Forecasting Industry Growth 22
TAM Growth Rate 27
Ten Additional Angles for Testing Forecasts 28
Chapter 2: Assess the Earnings Drivers in Different Industries 37
Hyper Growth - Internet, Fintech, Biotechnology 45
Secular Growth - Software, Medical Technology 48
Cyclical - Capital Goods, Transport, Energy,
Commodities, Chemicals, Autos 49
Cyclical Growth - Semiconductor, Electronic Components, Technology Hardware, Clean Energy 54
Stable - Consumer Staples, Retail, Consumer Discretionary, Pharmaceutical, Media, Business Services 58
Interest Rate Sensitive - REITs, Property Developers, Banks, Insurance 63
Regulated - Utilities, Telecoms 66
Chapter 3: Identify the 'Personality' of the Company 71
Product and Service 71
Origin and History 72
Management Profile 73
Ownership Structure 73
Value Chain 74
Competitive Moat 75
Track Record of Strategic Decisions 76
Corporate Culture by Country 77
Earnings Guidance Track Record 77
Controversy Record 78
Management Quality - A Framework 78
Part III: Analyse and Apply the Findings 83
Chapter 4: Put Findings into the Earnings Model 85
Segmental Revenue Forecast 87
Income Statement Forecast 88
Balance Sheet Forecast 95
Cash Flow Forecast 98
How to Put Cyclicality into Long-term Earnings Forecasts 100
Quarterly Forecasts can be Helpful 100
A Birdseye View is Helpful 101
Financial and Property Sectors are Unique 101
Chapter 5: Summarize All Thoughts 105
A Suggested Method for Creating a Practical Scorecard 105
Chapter 6: Find the Appropriate Valuation Framework 109
Hyper Growth - Internet, Biotechnology 112
Secular Growth - Software, Medical Technology 114
Cyclical - Capital Goods, Transport, Energy,
Commodities, Chemicals, Autos 115
Cyclical Growth - Semiconductor, Technology Hardware, Clean Energy 116
Stable - Consumer Staples, Retail, Consumer Discretionary, Pharmaceutical, Media, Business Services 117
Interest Rate Sensitive - Banks, Emerging Market Banks, Insurance, Property, REITs 118
Regulated - Utilities, Telecoms 120
Conglomerates 121
Additional Considerations on Valuation 124
Chapter 7: Differentiation versus Street 131
Is the View Actually Different? 131
Where is the Difference? 132
What is Driving the Difference? 133
Value of an Undifferentiated Conclusion 134
Part IV: What to Research and How to Power the Analysis 135
Chapter 8: How to Generate Exciting Ideas 137
1: Burning Questions 137
2: Products to Solve Problems 138
3: Forgotten New Technologies 138
4: 'Little Stories' 139
5: New Language 140
6: B2B and Orphan Stocks 140
7: The Second or Third Derivatives of Structural Changes 141
8: Local Trends 141
9: Inputs from the Real World 141
Chapter 9: How to Deal with Disruptors, Emerging Markets, ESG, and Downturns 145
How to Forecast and Value 'Disruptors' 145
How Should Emerging Markets be Looked at? 149
How to Think about ESG Issues 151
How to Cope with Economic Downturns 155
Chapter 10: Using Soft Skills to Power the Analysis 157
How to Build a Relationship with Companies 157
How to Leverage the Team 159
How to Communicate Ideas Effectively 161
What Types of Training Should New Analysts Ask for? 163
Time Management 165
Part V: Recap and Closing Thoughts 169
About the Author 173
Acknowledgements 175
Index 177
Introduction: How to Approach Company Analysis xv
List of Acronyms xix
Part I: Lessons From the Past: My Story as an Analyst 1
From Fish Cakes to Computer Numerical Control (1988-1995) 2
Not Just a Japanese Tourist - Becoming a China H-share Analyst (1996-1998) 5
A Truly Global Research Experience - Semiconductor Analyst (1998-2007) 7
New Lexicon: Clinical Trial, Cap Rate, Embedded Value, Metal Spread (2008-2013) 11
Importing DM Experience to EM: From Japan to Asia-Pacific (2014-2017) 13
Connecting the Dots: From Asia to Global (2018-now) 16
Part II: Laying the Groundwork 19
Chapter 1: Understand the 'Character' of the Industry 21
Six Basic Steps for Forecasting Industry Growth 22
TAM Growth Rate 27
Ten Additional Angles for Testing Forecasts 28
Chapter 2: Assess the Earnings Drivers in Different Industries 37
Hyper Growth - Internet, Fintech, Biotechnology 45
Secular Growth - Software, Medical Technology 48
Cyclical - Capital Goods, Transport, Energy,
Commodities, Chemicals, Autos 49
Cyclical Growth - Semiconductor, Electronic Components, Technology Hardware, Clean Energy 54
Stable - Consumer Staples, Retail, Consumer Discretionary, Pharmaceutical, Media, Business Services 58
Interest Rate Sensitive - REITs, Property Developers, Banks, Insurance 63
Regulated - Utilities, Telecoms 66
Chapter 3: Identify the 'Personality' of the Company 71
Product and Service 71
Origin and History 72
Management Profile 73
Ownership Structure 73
Value Chain 74
Competitive Moat 75
Track Record of Strategic Decisions 76
Corporate Culture by Country 77
Earnings Guidance Track Record 77
Controversy Record 78
Management Quality - A Framework 78
Part III: Analyse and Apply the Findings 83
Chapter 4: Put Findings into the Earnings Model 85
Segmental Revenue Forecast 87
Income Statement Forecast 88
Balance Sheet Forecast 95
Cash Flow Forecast 98
How to Put Cyclicality into Long-term Earnings Forecasts 100
Quarterly Forecasts can be Helpful 100
A Birdseye View is Helpful 101
Financial and Property Sectors are Unique 101
Chapter 5: Summarize All Thoughts 105
A Suggested Method for Creating a Practical Scorecard 105
Chapter 6: Find the Appropriate Valuation Framework 109
Hyper Growth - Internet, Biotechnology 112
Secular Growth - Software, Medical Technology 114
Cyclical - Capital Goods, Transport, Energy,
Commodities, Chemicals, Autos 115
Cyclical Growth - Semiconductor, Technology Hardware, Clean Energy 116
Stable - Consumer Staples, Retail, Consumer Discretionary, Pharmaceutical, Media, Business Services 117
Interest Rate Sensitive - Banks, Emerging Market Banks, Insurance, Property, REITs 118
Regulated - Utilities, Telecoms 120
Conglomerates 121
Additional Considerations on Valuation 124
Chapter 7: Differentiation versus Street 131
Is the View Actually Different? 131
Where is the Difference? 132
What is Driving the Difference? 133
Value of an Undifferentiated Conclusion 134
Part IV: What to Research and How to Power the Analysis 135
Chapter 8: How to Generate Exciting Ideas 137
1: Burning Questions 137
2: Products to Solve Problems 138
3: Forgotten New Technologies 138
4: 'Little Stories' 139
5: New Language 140
6: B2B and Orphan Stocks 140
7: The Second or Third Derivatives of Structural Changes 141
8: Local Trends 141
9: Inputs from the Real World 141
Chapter 9: How to Deal with Disruptors, Emerging Markets, ESG, and Downturns 145
How to Forecast and Value 'Disruptors' 145
How Should Emerging Markets be Looked at? 149
How to Think about ESG Issues 151
How to Cope with Economic Downturns 155
Chapter 10: Using Soft Skills to Power the Analysis 157
How to Build a Relationship with Companies 157
How to Leverage the Team 159
How to Communicate Ideas Effectively 161
What Types of Training Should New Analysts Ask for? 163
Time Management 165
Part V: Recap and Closing Thoughts 169
About the Author 173
Acknowledgements 175
Index 177
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.