Sinem Derindere Köseoğlu – författare

Defining the value of an entire company can be challenging, especially for large, highly competitive business markets. While the main goal for many companies is to increase their market value, understanding the advanced techniques and determining the best course of action to maximize profits can puzzle both academic and business professionals alike. Valuation Challenges and Solutions in Contemporary Businesses provides emerging research exploring theoretical and practical aspects of income-based, market-based, and asset-based valuation approaches and applications within the financial sciences. Featuring coverage on a broad range of topics such as growth rate, diverse business, and market value, this book is ideally designed for financial officers, business professionals, company managers, CEOs, corporate professionals, academicians, researchers, and students seeking current research on the challenging aspects of firm valuation and an assortment of possible solution-driven concepts.

​This book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in real financial world situations. It offers solutions on how to logically analyze the enormous amount of structured and unstructured data generated every moment in the finance sector. This data can be used by companies, organizations, and investors to create strategies, as the finance sector rapidly moves towards data-driven optimization.This book provides an efficient resource, addressing all applications of data analytics in the finance sector. International experts from around the globe cover the most important subjects in finance, including data processing, knowledge management, machine learning models, data modeling, visualization, optimization for financial problems, financial econometrics, financial time series analysis, project management, and decision making. The authors provide empirical evidence as examples of specific topics. By combining both applications and theory, the book offers a holistic approach. Therefore, it is a must-read for researchers and scholars of financial economics and finance, as well as practitioners interested in a better understanding of financial data analytics.

​This book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in real financial world situations. It offers solutions on how to logically analyze the enormous amount of structured and unstructured data generated every moment in the finance sector. This data can be used by companies, organizations, and investors to create strategies, as the finance sector rapidly moves towards data-driven optimization.This book provides an efficient resource, addressing all applications of data analytics in the finance sector. International experts from around the globe cover the most important subjects in finance, including data processing, knowledge management, machine learning models, data modeling, visualization, optimization for financial problems, financial econometrics, financial time series analysis, project management, and decision making. The authors provide empirical evidence as examples of specific topics. By combining both applications and theory, the book offers a holistic approach. Therefore, it is a must-read for researchers and scholars of financial economics and finance, as well as practitioners interested in a better understanding of financial data analytics.

This book sheds new light on the most important contemporary and emerging startup valuation topics. Drawing on the first-hand professional experience of practitioners, professionals, and startup experts from various fields of finance, combined with a sound academic foundation, it offers a practical guide to startup valuation and presents applications, practical examples, and case studies of real startup ecosystems.The book discusses pressing questions, such as: Why are startups in California are higher valued than those in New York? Or why do startups based in London receive higher valuations than those in Paris, Berlin, or Milan, even when they are based in similarly-sized economies, share the same industries, and often even have the same investors? Answering these questions, the authors present key topics, such as hierarchical and segmented approaches to startup valuation, business plans, and sensitivity analysis, many methods such as venture capital valuation, first Chicago valuation, scorecard valuation, Dave Berkus valuation, risk factor summation valuation, and discounted cash flow valuation, in addition to business valuation by data envelopment analysis and real options analysis, as well as critical conceptual issues in the valuation such as expected returns of the venture capital and price versus value concepts, among others.The book will help angel investors, venture capitalists, institutional investors, crowd-based fractional investors, and investment fund professionals understand how to use basic and advanced analytics for a more precise valuation that helps them craft their long-term capital-raising strategy and keep their funding requests in perspective. It will also appeal to students and scholars of finance and business interested in a better understanding of startup valuation.

This book sheds new light on the most important contemporary and emerging startup valuation topics. Drawing on the first-hand professional experience of practitioners, professionals, and startup experts from various fields of finance, combined with a sound academic foundation, it offers a practical guide to startup valuation and presents applications, practical examples, and case studies of real startup ecosystems.The book discusses pressing questions, such as: Why are startups in California are higher valued than those in New York? Or why do startups based in London receive higher valuations than those in Paris, Berlin, or Milan, even when they are based in similarly-sized economies, share the same industries, and often even have the same investors? Answering these questions, the authors present key topics, such as hierarchical and segmented approaches to startup valuation, business plans, and sensitivity analysis, many methods such as venture capital valuation, first Chicago valuation, scorecard valuation, Dave Berkus valuation, risk factor summation valuation, and discounted cash flow valuation, in addition to business valuation by data envelopment analysis and real options analysis, as well as critical conceptual issues in the valuation such as expected returns of the venture capital and price versus value concepts, among others.The book will help angel investors, venture capitalists, institutional investors, crowd-based fractional investors, and investment fund professionals understand how to use basic and advanced analytics for a more precise valuation that helps them craft their long-term capital-raising strategy and keep their funding requests in perspective. It will also appeal to students and scholars of finance and business interested in a better understanding of startup valuation.