Paperback ISBN: 9781009307413
Paperback publication date: 20 March 2025
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Quantitative Research Methods in Corporate Finance
Exemplified by Stata, Python, and R
, University of Gothenburg
Online ISBN: 9781009307383
Online publication date:
20 March 2025
Hardback ISBN: 9781009307437
Hardback publication date: 20 March 2025
Focused on empirical methods and their applications to corporate finance, this innovative text equips students with the knowledge to analyse and critically evaluate quantitative research methods in corporate finance, and conduct computer-aided statistical analyses on various types of datasets. Chapters demonstrate the application of basic econometric models in corporate finance (as opposed to derivations or theorems), backed up by relevant research. Alongside practical examples and mini case studies, computer lab exercises enable students to apply the theories of corporate finance and make stronger connections between theory and practice, while developing their programming skills. All of the Stata code is provided (with corresponding Python and R code available online), so students of all programming abilities can focus on understanding and interpreting the analyses.
Focused on empirical methods and their applications to corporate finance, this innovative text equips students with the knowledge to analyse and critically evaluate quantitative research methods in corporate finance, and conduct computer-aided statistical analyses on various types of datasets. Chapters demonstrate the application of basic econometric models in corporate finance (as opposed to derivations or theorems), backed up by relevant research. Alongside practical examples and mini case studies, computer lab exercises enable students to apply the theories of corporate finance and make stronger connections between theory and practice, while developing their programming skills. All of the Stata code is provided (with corresponding Python and R code available online), so students of all programming abilities can focus on understanding and interpreting the analyses.
Satellite Remote Sensing for Water Management
, University of Washington
Online ISBN: 9781009453509
Expected online publication date:
September 2025
Paperback ISBN: 9781009453530
Paperback publication date: 04 September 2025
Hardback ISBN: 9781009453493
Hardback publication date: 04 September 2025
This textbook reflects the changing landscape of water management by combining the fields of satellite remote sensing and water management. Divided into three major sections, it begins by discussing the information that satellite remote sensing can provide about water, and then moves on to examine how it can address real-world management challenges, focusing on precipitation, surface water, irrigation management, reservoir monitoring, and water temperature tracking. The final part analyses governance and social issues that have recently been given more attention as the world reckons with social justice and equity aspects of engineering solutions. This book uses case studies from around the globe to demonstrate how satellite remote sensing can improve traditional water practices and includes end-of-chapter exercises to facilitate student learning. It is intended for advanced undergraduate and graduate students in water resource management, and as reference textbook for researchers and professionals.
This textbook reflects the changing landscape of water management by combining the fields of satellite remote sensing and water management. Divided into three major sections, it begins by discussing the information that satellite remote sensing can provide about water, and then moves on to examine how it can address real-world management challenges, focusing on precipitation, surface water, irrigation management, reservoir monitoring, and water temperature tracking. The final part analyses governance and social issues that have recently been given more attention as the world reckons with social justice and equity aspects of engineering solutions. This book uses case studies from around the globe to demonstrate how satellite remote sensing can improve traditional water practices and includes end-of-chapter exercises to facilitate student learning. It is intended for advanced undergraduate and graduate students in water resource management, and as reference textbook for researchers and professionals.
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