The Book of Alternative Data: A Guide for Investors, Traders and Risk Managers - Tapa dura

Acerca del autor

ALEXANDER DENEV is Head of AI, Financial Services - Risk Advisory at Deloitte LLP. Prior to that he led Quantitative Research & Advanced Analytics at IHS Markit. Previously, he held roles at the Royal Bank of Scotland, Societe Generale, and European Investment Bank. Denev is a visiting lecturer at the University of Oxford where he graduated with a degree in Mathematical Finance. He is author of numerous papers and books on novel methods of financial modeling with applications ranging from stress testing to asset allocation.

SAEED AMEN is the founder of Cuemacro, where he consults on systematic trading. For 15 years, he has developed systematic trading strategies and quantitative indices including at major investment banks, Lehman Brothers and Nomura. He is also a visiting lecturer at Queen Mary University of London and a co-founder of the Thalesians, a quant think tank.

De la contraportada

As investors search for innovative methods to generate superior returns, many are turning to alternative data. Alternative datasets already exist, for those who know where to look and who have the resources to acquire them. The difficulty lies in knowing how to analyze this data appropriately, generate signal from the noise, and act on alternative data insights to make investment decisions. The Book of Alternative Data: A Guide for Investors, Traders, and Risk Managers is the first book to comprehensively instruct readers in the process of making money by investing with alternative data.

Automotive supply chain data, satellite imagery, survey data, mobile phone location data, social media, and credit card transaction data are a few of the alternative data sources that investors and risk managers can use to generate a competitive edge. This book provides detailed case studies demonstrating how to locate and assess such datasets. More importantly, the authors present an end-to-end process for alternative data analysis and investing, so readers will be able to extract value from any source of alternative data, now and in the future.

Because alternative datasets are more expensive, more difficult to use, and generally newer than traditional data, the risks involved can be considerable. The Book of Alternative Data clarifies the murky waters of alternative data, helping readers understand and manage the unique risks. Alternative data can be easy to misinterpret, opening the possibility for costly errors. Legality and compliance are also major concerns. This book thoroughly addresses these and other considerations, leaving institutional investors and risk managers with a basis of knowledge that will enable them to extract the maximum value from alternative data.

For further resources related to the book, please see https://www.cuemacro.com/altdata

De la solapa interior

As investors search for innovative methods to generate superior returns, many are turning to alternative data. Alternative datasets already exist, for those who know where to look and who have the resources to acquire them. The difficulty lies in knowing how to analyze this data appropriately, generate signal from the noise, and act on alternative data insights to make investment decisions. The Book of Alternative Data: A Guide for Investors, Traders, and Risk Managers is the first book to comprehensively instruct readers in the process of making money by investing with alternative data.

Automotive supply chain data, satellite imagery, survey data, mobile phone location data, social media, and credit card transaction data are a few of the alternative data sources that investors and risk managers can use to generate a competitive edge. This book provides detailed case studies demonstrating how to locate and assess such datasets. More importantly, the authors present an end-to-end process for alternative data analysis and investing, so readers will be able to extract value from any source of alternative data, now and in the future.

Because alternative datasets are more expensive, more difficult to use, and generally newer than traditional data, the risks involved can be considerable. The Book of Alternative Data clarifies the murky waters of alternative data, helping readers understand and manage the unique risks. Alternative data can be easy to misinterpret, opening the possibility for costly errors. Legality and compliance are also major concerns. This book thoroughly addresses these and other considerations, leaving institutional investors and risk managers with a basis of knowledge that will enable them to extract the maximum value from alternative data.

For further resources related to the book, please see https: //www.cuemacro.com/altdata