This paper considers factor estimation from heterogenous data, where some of the variables are noisy and only weakly informative for the factors. To identify the irrelevant variables, we search for zero rows in the loadings matrix of the factor model. To sharply separate these irrelevant...

The COVID-19 pandemic has led to a changing environment for transnational migrant start-ups. These changes have posed many challenges concerning altering strategic behaviour and approaches to driving business. We explored transnational migrant start-ups' embeddedness in translocal...

Extant literature consistently documents that investors tilt their domestic equity portfolios towards regionally close stocks (local bias). We hypothesize that individual investors’ local bias is not limited to the domestic sphere but instead also determines their international investment...