Elizabeth Collins – författare

Incorporate economic moat analysis for profitable investing Why Moats Matter is a comprehensive guide to finding great companies with economic moats, or competitive advantages. This book explains the investment approach used by Morningstar, Inc., and includes a free trial to Morningstar's Research.Economic moats—or sustainable competitive advantages—protect companies from competitors. Legendary investor Warren Buffett devised the economic moat concept. Morningstar has made it the foundation of a successful stock-investing philosophy.Morningstar views investing in the most fundamental sense: For Morningstar, investing is about holding shares in great businesses for long periods of time. How can investors tell a great business from a poor one? A great business can fend off competition and earn high returns on capital for many years to come. The key to finding these great companies is identifying economic moats that stem from at least one of five sources of competitive advantage—cost advantage, intangible assets, switching costs, efficient scale, and network effect. Each source is explored in depth throughout this book.Even better than finding a great business is finding one at a great price. The stock market affords virtually unlimited opportunities to track prices and buy or sell securities at any hour of the day or night. But looking past that noise and understanding the value of a business's underlying cash flows is the key to successful long-term investing. When investors focus on a company's fundamental value relative to its stock price, and not where the stock price sits today versus a month ago, a day ago, or five minutes ago, investors start to think like owners, not traders. And thinking like an owner will makes readers better investors.The book provides a fundamental framework for successful long-term investing. The book helps investors answer two key questions: How can investors identify a great business, and when should investors buy that business to maximize return?Using fundamental moat and valuation analysis has led to superior risk-adjusted returns and made Morningstar analysts some of the industry's top stock-pickers. In this book, Morningstar shares the ins and outs of its moat-driven investment philosophy, which readers can use to identify great stock picks for their own portfolios.

Incorporate economic moat analysis for profitable investing

Why Moats Matter is a comprehensive guide to finding great companies with economic moats, or competitive advantages. This book explains the investment approach used by Morningstar, Inc., and includes a free trial to Morningstar''s Research.

Economic moats—or sustainable competitive advantages—protect companies from competitors. Legendary investor Warren Buffett devised the economic moat concept. Morningstar has made it the foundation of a successful stock-investing philosophy.

Morningstar views investing in the most fundamental sense: For Morningstar, investing is about holding shares in great businesses for long periods of time. How can investors tell a great business from a poor one? A great business can fend off competition and earn high returns on capital for many years to come. The key to finding these great companies is identifying economic moats that stem from at least one of five sources of competitive advantage—cost advantage, intangible assets, switching costs, efficient scale, and network effect. Each source is explored in depth throughout this book.

Even better than finding a great business is finding one at a great price. The stock market affords virtually unlimited opportunities to track prices and buy or sell securities at any hour of the day or night. But looking past that noise and understanding the value of a business''s underlying cash flows is the key to successful long-term investing. When investors focus on a company''s fundamental value relative to its stock price, and not where the stock price sits today versus a month ago, a day ago, or five minutes ago, investors start to think like owners, not traders. And thinking like an owner will makes readers better investors.

The book provides a fundamental framework for successful long-term investing. The book helps investors answer two key questions: How can investors identify a great business, and when should investors buy that business to maximize return?

Using fundamental moat and valuation analysis has led to superior risk-adjusted returns and made Morningstar analysts some of the industry''s top stock-pickers. In this book, Morningstar shares the ins and outs of its moat-driven investment philosophy, which readers can use to identify great stock picks for their own portfolios.

Incorporate economic moat analysis for profitable investing

Why Moats Matter is a comprehensive guide to finding great companies with economic moats, or competitive advantages. This book explains the investment approach used by Morningstar, Inc., and includes a free trial to Morningstar''s Research.

Economic moats—or sustainable competitive advantages—protect companies from competitors. Legendary investor Warren Buffett devised the economic moat concept. Morningstar has made it the foundation of a successful stock-investing philosophy.

Morningstar views investing in the most fundamental sense: For Morningstar, investing is about holding shares in great businesses for long periods of time. How can investors tell a great business from a poor one? A great business can fend off competition and earn high returns on capital for many years to come. The key to finding these great companies is identifying economic moats that stem from at least one of five sources of competitive advantage—cost advantage, intangible assets, switching costs, efficient scale, and network effect. Each source is explored in depth throughout this book.

Even better than finding a great business is finding one at a great price. The stock market affords virtually unlimited opportunities to track prices and buy or sell securities at any hour of the day or night. But looking past that noise and understanding the value of a business''s underlying cash flows is the key to successful long-term investing. When investors focus on a company''s fundamental value relative to its stock price, and not where the stock price sits today versus a month ago, a day ago, or five minutes ago, investors start to think like owners, not traders. And thinking like an owner will makes readers better investors.

The book provides a fundamental framework for successful long-term investing. The book helps investors answer two key questions: How can investors identify a great business, and when should investors buy that business to maximize return?

Using fundamental moat and valuation analysis has led to superior risk-adjusted returns and made Morningstar analysts some of the industry''s top stock-pickers. In this book, Morningstar shares the ins and outs of its moat-driven investment philosophy, which readers can use to identify great stock picks for their own portfolios.

Incorporate economic moat analysis for profitable investing Why Moats Matter is a comprehensive guide to finding great companies with economic moats, or competitive advantages. This book explains the investment approach used by Morningstar, Inc., and includes a free trial to Morningstar's Research.Economic moats—or sustainable competitive advantages—protect companies from competitors. Legendary investor Warren Buffett devised the economic moat concept. Morningstar has made it the foundation of a successful stock-investing philosophy.Morningstar views investing in the most fundamental sense: For Morningstar, investing is about holding shares in great businesses for long periods of time. How can investors tell a great business from a poor one? A great business can fend off competition and earn high returns on capital for many years to come. The key to finding these great companies is identifying economic moats that stem from at least one of five sources of competitive advantage—cost advantage, intangible assets, switching costs, efficient scale, and network effect. Each source is explored in depth throughout this book.Even better than finding a great business is finding one at a great price. The stock market affords virtually unlimited opportunities to track prices and buy or sell securities at any hour of the day or night. But looking past that noise and understanding the value of a business's underlying cash flows is the key to successful long-term investing. When investors focus on a company's fundamental value relative to its stock price, and not where the stock price sits today versus a month ago, a day ago, or five minutes ago, investors start to think like owners, not traders. And thinking like an owner will makes readers better investors.The book provides a fundamental framework for successful long-term investing. The book helps investors answer two key questions: How can investors identify a great business, and when should investors buy that business to maximize return?Using fundamental moat and valuation analysis has led to superior risk-adjusted returns and made Morningstar analysts some of the industry's top stock-pickers. In this book, Morningstar shares the ins and outs of its moat-driven investment philosophy, which readers can use to identify great stock picks for their own portfolios.

Life, death, and everything in-between . . . This, is the story of The Crossroads of Zil. A tale about a little girl lost within her own story, ends up getting a second chance, as she leaves behind the life she once knew and ventures to a place beyond her imagination. Meeting fantastic characters along the way, the girl learns and discovers from each about their own uniqueness and how all of them play a part in the overall design of life and the girl herself. You are invited to take an incredible journey, as you follow along a little girls travels, taking her down the roads of an unforgettable land, and finding not only herself but, The Crossroads of Zil.

Statistics for Psychology is an interactive, highly visual, and accessible guide to the statistical practices you will encounter as a psychology student. Its software-agnostic approach keeps the focus on the core principles, rather than getting bogged down in complicated formulae and jargon. This book is based on the authors′ BPS commended programme. It focusses on providing the strong foundational understanding you’ll need to use statistics confidently and creatively rather than the software-specific way in which statistics is often taught. This edition includes: new content throughout on being a responsible researcher, a new chapter to support you in presenting your research to a critical audience, carefully designed graphics to explain statistical principles, "your turn" exercises to test your understanding of each chapter.

This book is the ideal guide for students approaching statistics and research methods in psychology for the first time.  Roger Watt is Emeritus Professor of Psychology at the University of Stirling. Elizabeth Collins is a researcher with a PhD in Psychology. 

Statistics for Psychology is an interactive, highly visual, and accessible guide to the statistical practices you will encounter as a psychology student. Its software-agnostic approach keeps the focus on the core principles, rather than getting bogged down in complicated formulae and jargon. This book is based on the authors' BPS commended programme. It focusses on providing the strong foundational understanding you’ll need to use statistics confidently and creatively rather than the software-specific way in which statistics is often taught. This edition includes: new content throughout on being a responsible researcher, a new chapter to support you in presenting your research to a critical audience, carefully designed graphics to explain statistical principles, “your turn” exercises to test your understanding of each chapter.

This book is the ideal guide for students approaching statistics and research methods in psychology for the first time.  Roger Watt is Emeritus Professor of Psychology at the University of Stirling. Elizabeth Collins is a researcher with a PhD in Psychology.