扼杀投机:1903 年维也纳期货交易禁令的影响

IF 1.5 1区 历史学 Q2 ECONOMICS Cliometrica Pub Date : 2024-08-22 DOI:10.1007/s11698-024-00294-3
Laura Wurm
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引用次数: 0

摘要

期货交易如何影响现货价格的日内波动?本文利用二十世纪初一个独特的自然实验来检验当期货交易不复存在时会发生什么,为商品市场的历史研究做出了贡献。1903 年,为了消除投机行为,维也纳谷物市场禁止了期货交易。这一禁令的永久性使其成为使用差分法框架研究其对波动性影响的理想选择。布达佩斯市场的价格被用作对照,该市场在类似的条件下运行,拥有相同的收获区域,并包含在类似的法律框架中。布达佩斯市场是一个理想的对照市场,因为它不受禁令影响,而且法律禁止奥地利交易方迁移到该市场。本文发现,与布达佩斯相比,禁令实施后维也纳现货市场的现货价格日内波动性增大,定价准确性降低,因为该市期货市场的信息传递和风险分配功能不再得以维持。
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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Strangling speculation: the effect of the 1903 Viennese futures trading ban

How does futures trading affect the intra-day volatility of spot prices? This paper contributes to the historical work on commodity markets, by using a unique early twentieth-century natural experiment to test what happens when futures trading no longer exists. In 1903, in an attempt to eliminate speculative behavior, futures trading in the Viennese grain market was banned. The permanency of this ban makes it ideal for studying its effect on volatility, using a difference-in-difference framework. Prices from Budapest, a market operating under similar conditions, sharing the same harvest regions, and embedded in a similar legal framework, are used as a control. The Budapest market constitutes an ideal control because it was unaffected by the ban and any migration of Austrian trading parties to this market was prohibited by law. This paper finds an increased intra-day volatility of spot prices and lower pricing accuracy on the Viennese spot market after the ban in comparison with Budapest, as the information-transmission and risk-allocation functions of this city’s futures market were no longer maintained.

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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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