Spillover effect

About: Spillover effect is a research topic. Over the lifetime, 7869 publications have been published within this topic receiving 167367 citations.

Africa's Growth Tragedy: A Retrospective, 1960-89

Abstract: Problems associated with Sub-Saharan Africa's slow growth are low school attainment, political instability, poorly developed financial systems, large black-market exchange-rate premia, large government deficits, and inadequate infrastructure. Improving policies alone boosts growth substantially. But if neighboring countries adopt a policy change together, the effects on growth are more than double what they would have been if one country had acted alone. Africa's economic history since 1960 fits the classical definition of tragedy: potential unfulfilled, with disastrous consequences. Easterly and Levine use one methodology - cross-country regressions - to account for Sub-Saharan Africa's growth performance over the past 30 years and to suggest policies to promote growth over the next 30 years. They statistically quantify the relationship between long-run growth and a wider array of factors than any previous study. They consider such standard variables as initial income to capture convergence effects, schooling, political stability, and indicators of monetary, fiscal, trade, exchange rate, and financial sector policies. They also consider such new measures as infrastructure development, cultural diversity, and economic spillovers from neighbors' growth. Their analysis: - Improves substantially on past attempts to account for the growth experience of Sub-Saharan African countries. - Shows that low school attainment, political instability, poorly developed financial systems, large black-market exchange-rate premia, large government deficits, and inadequate infrastructure are associated with slow growth. - Finds that Africa's ethnic diversity tends to slow growth and reduce the likelihood of adopting good policies. - Identifies spillovers of growth performance between neighboring countries. The spillover effects of growth have implications for policy strategy. Improving policies alone boosts growth substantially, but if neighboring countries act together, the effects on growth are much greater. Specifically, the results suggest that the effect of neighbors' adopting a policy change is 2.2 times greater than if a single country acted alone. This paper - a joint product of the Macroeconomics and Growth Division and the Finance and Private Sector Development Division, Policy Research Department - is part of a larger effort in the department to understand the link between policies and growth. The study was funded by the Bank's Research Support Budget under the research project Patterns of Growth (RPO 678-26).

The Dark Side of International Cross‐Listing: Effects on Rival Firms at Home

Abstract: We analyse the stock price impact of firms' US cross-listing on home-market rival firms. Using an empirical event study approach we find negative cumulative average abnormal returns for the rival firms around both the listing and announcement of listing dates. The evidence suggests both positive and negative spillover effects on rival firms, where the dominant effect is that investors see rivals at a relative disadvantage to the cross-listing firm. As firms cross-list in the US and commit to the increased disclosure and investor protection associated with the US listing, they are better able to take advantage of growth opportunities relative to their non cross-listing counterparts, and this results in negative spillover effects on rival firms. Our results are consistent with the idea that firms cross-list as a means to reduce agency costs of controlling shareholders and thus are able to exploit growth opportunities as they have better access to external finance.

Spillover Risks on Cryptocurrency Markets: A Look from VAR-SVAR Granger Causality and Student’s-t Copulas

Abstract: This paper contributes a shred of quantitative evidence to the embryonic literature as well as existing empirical evidence regarding spillover risks among cryptocurrency markets. By using VAR (Vector Autoregressive Model)-SVAR (Structural Vector Autoregressive Model) Granger causality and Student’s-t Copulas, we find that Ethereum is likely to be the independent coin in this market, while Bitcoin tends to be the spillover effect recipient. Our study sheds further light on investigating the contagion risks among cryptocurrencies by employing Student’s-t Copulas for joint distribution. This result suggests that all coins negatively change in terms of extreme value. The investors are advised to pay more attention to ‘bad news’ and moving patterns in order to make timely decisions on three types (buy, hold, and sell).