第一次全球化期间的伦敦货币市场和非英国银行贷款:来自巴西的证据

IF 1.5 1区 历史学 Q2 ECONOMICS Cliometrica Pub Date : 2024-04-15 DOI:10.1007/s11698-024-00284-5
Wilfried Kisling, Marco Molteni
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引用次数: 0

摘要

本研究探讨了第一波全球化浪潮期间伦敦货币市场(LMM)与非英国海外银行在外围经济体提供信贷之间的关系。利用 1889 年至 1913 年间的月度数据,我们发现德国巴西银行在巴西的授权信贷额与伦敦市场利率和浮动利率之间的利差之间存在正相关关系。我们的研究结果表明,对外国票据需求的增加和/或伦敦市场借贷成本的降低导致了信贷供应的增加。我们使用年度纳税额对市场利率和浮动利率之间利差的影响作为工具变量(IV),以证明这种关系是因果关系。尽管有大量文献介绍了伦敦作为全球金融中心的历史作用,对外国银行业历史的研究也越来越多,但关于两者之间联系的定量证据却很少。本研究填补了这一空白。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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The London money market and non-British bank lending during the first globalisation: evidence from Brazil

This study examines the relationship between the London money market (LMM) and the credit provision of non-British overseas banks in peripheral economies during the first wave of globalisation. Using monthly data between 1889 and 1913, we find a positive relationship between the amount of credit authorised by the German Brasilianische Bank für Deutschland in Brazil and the spread between the London market and floating rate. Our results suggest that increased demand for foreign bills and/or decreased borrowing costs in the LMM leads to an increase in credit supply. We use the impact of annual tax payments on the spread between the market and floating rate as an instrumental variable (IV) to show that this relationship is causal. Although there is a significant amount of literature on London’s historic role as a global financial centre and a growing number of studies on foreign banking history, little quantitative evidence is available about the connection between the two. This study bridges this gap.

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来源期刊
Cliometrica
Cliometrica Multiple-
CiteScore
2.70
自引率
18.80%
发文量
16
期刊介绍: Cliometrica provides a leading forum for exchange of ideas and research in all facets, in all historical periods and in all geographical locations of historical economics. The journal encourages the methodological debate, the use of economic theory in general and model building in particular, the reliance upon quantification to buttress the models with historical data, the use of the more standard historical knowledge to broaden the understanding and suggesting new avenues of research, and the use of statistical theory and econometrics to combine models with data in a single consistent explanation. The highest standards of quality are promoted. All articles will be subject to Cliometrica''s peer review process. On occasion, specialised topics may be presented in a special issue. Officially cited as: Cliometrica
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