Project portfolio benefits (PPBs) are typically regarded as a key feature for successful project portfolios in practice. However, there is little prescriptive knowledge that offers guidance on how to tackle the realisation and improvement of PPBs. To narrow this research gap, we develop a...

Statistical inferences for sample correlation matrices are important in high dimensional data analysis. Motivated by this, this paper establishes a new central limit theorem (CLT) for a linear spectral statistic (LSS) of high dimensional sample correlation matrices for the case where the...

We examine the role of acquirers’ familiarity with targets’ significant downside risks in M&A. We introduce a measure of a firm’s familiarity with another firm’s business downsides using similarity of their risk factor descriptions. We first show that this measure is distinct from...