Including disaggregate variables or using information extracted from the disaggregate variables into a forecasting model for an eco- nomic aggregate may improve the forecasting accuracy. In this paper we suggest to use boosting as a method to select the disaggregate variables which are most...

Purpose: The purpose of this paper is to examine how managers orchestrate, bundle and leverage resources from big data for value creation in emerging economies. Design/methodology/approach: The authors grounded the theoretical framework in two perspectives: the resource management and...

We analyze the design of bailout regimes when investment is distorted by a toomany-to-fail problem. The first-best allocation equalizes benefits from more banks investing in high-return projects with endogenously higher systemic risk due to more banks failing simultaneously. A standard bailout...

Purpose: This study empirically investigates how the COVID-infodemic manifests differently in different languages and in different countries. This paper focuses on the topical and temporal features of misinformation related to COVID-19 in five countries. Design/methodology/approach:...

Does securitization distort the foreclosure decisions of non-performing mortgages? In a model of mortgage-backed securitization with an endogenous foreclosure policy, we find that the securitizing bank adopts a tougher foreclosure policy than the first-best, despite resulting in higher loan...

Financing an investment off-balance sheet gives a bank the option, but not the obligation, to voluntarily support debt repayments using its on-balance sheet funds when the investment fails. Such flexibility, which is absent with on-balance sheet funding, allows the bank to signal information...