Taylan Mavruk – författare

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.

This book helps readers understand the widely documented distortion in the portfolio choice of individual investors toward proximate firms – the proximity bias phenomenon. First, it recapitulates the fundamentals of modern portfolio theory. It then goes on to describe and demonstrate different approaches on how to measure proximity bias and identifies and examines potential motives and reasons for such a bias. In addition, the book presents new analysis on the financial effects of individual investors’ proximity bias, explaining and contributing with possible policy implications on their portfolio distortion. This book will be of interest to students and researchers, as well as decision-makers in business firms and households.