L
Luc Laeven
Researcher at European Central Bank
Publications - 360
Citations - 40776
Luc Laeven is an academic researcher from European Central Bank. The author has contributed to research in topics: Financial crisis & Deposit insurance. The author has an hindex of 93, co-authored 355 publications receiving 36916 citations. Previous affiliations of Luc Laeven include World Bank & Center for Economic and Policy Research.
Papers
More filters
BookDOI
International Evidence on the Value of Product and Geographic Diversity
TL;DR: This paper examined the effect of product and geographic diversification on firm value for a sample of 1,914 corporations in 18 countries and found that insider ownership is associated with less diversification, across both product and geographical segments, suggesting that insiders view corporate diversification as value destroying.
Journal ArticleDOI
Financial Markets and Green Innovation
Philippe Aghion,Lena Boneva,Johannes Breckenfelder,Luc Laeven,Conny Olovsson,Alexander Popov,Elena Rancoita +6 more
TL;DR: In this paper , an endogenous model of directed technical change with government policy and financial markets is proposed to stimulate green innovation in low-carbon technologies, concluding that governments can play a catalytic role in stimulating green innovation while the role of central banks is limited.
Posted Content
Capital Structure and International Debt Shifting
TL;DR: In this article, a model that relates a multinational firm's optimal debt policy to taxation and to non-tax factors such as the desire to prevent bankruptcy is presented, which yields the predictions that a multinational's indebtedness in a country depends on national tax rates and differences between national and foreign tax rates.
Posted Content
Tracking Variation in Systemic Risk at US Banks During 1974-2013
TL;DR: In this paper, the authors propose a theoretically based and easy-to-implement way to measure the systemic risk of financial institutions using publicly available accounting and stock market data, and apply their model to quarterly data over the period 1974-2013.