140年来小麦价格波动:每日价格波动范围分析

Marco Haase, H. Zimmermann, M. Huss
{"title":"140年来小麦价格波动:每日价格波动范围分析","authors":"Marco Haase, H. Zimmermann, M. Huss","doi":"10.2139/ssrn.3825678","DOIUrl":null,"url":null,"abstract":"This paper analyzes daily wheat price volatility over an observation period of more than 140 years, using daily high and low prices of futures contracts traded at the Chicago Board of Trade (CBOT), starting in 1877. We find that volatility differences between the identified regimes is much more important than volatility differences within the regimes, even when conditioning on state variables such as business cycles or inflation. Our findings suggest that the neglect of regimes can lead to a severe misinterpretation of the results when volatilities are correlated with exogenous variables. Further, historical volatility estimates derived from average price data, as is typically done in literature, are upward biased. The bias ranges between 0% and 22% across regimes. The magnitude potentially explains contradictory findings on volatility patterns in earlier studies.","PeriodicalId":139826,"journal":{"name":"SWIFT Institute Research Paper Series","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Wheat Price Volatility Over 140 Years: An Analysis of Daily Price Ranges\",\"authors\":\"Marco Haase, H. Zimmermann, M. Huss\",\"doi\":\"10.2139/ssrn.3825678\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper analyzes daily wheat price volatility over an observation period of more than 140 years, using daily high and low prices of futures contracts traded at the Chicago Board of Trade (CBOT), starting in 1877. We find that volatility differences between the identified regimes is much more important than volatility differences within the regimes, even when conditioning on state variables such as business cycles or inflation. Our findings suggest that the neglect of regimes can lead to a severe misinterpretation of the results when volatilities are correlated with exogenous variables. Further, historical volatility estimates derived from average price data, as is typically done in literature, are upward biased. The bias ranges between 0% and 22% across regimes. The magnitude potentially explains contradictory findings on volatility patterns in earlier studies.\",\"PeriodicalId\":139826,\"journal\":{\"name\":\"SWIFT Institute Research Paper Series\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SWIFT Institute Research Paper Series\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3825678\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SWIFT Institute Research Paper Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3825678","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文利用1877年开始在芝加哥期货交易所(CBOT)交易的期货合约的每日最高价和最低价,分析了140多年来小麦价格的每日波动。我们发现,即使在商业周期或通货膨胀等状态变量的条件下,已确定制度之间的波动率差异比制度内部的波动率差异重要得多。我们的研究结果表明,当波动性与外生变量相关时,忽视制度可能导致对结果的严重误解。此外,从平均价格数据得出的历史波动率估计,正如文献中通常做的那样,是向上偏倚的。不同制度的偏差在0%到22%之间。这个幅度可能解释了早期研究中关于波动性模式的矛盾发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wheat Price Volatility Over 140 Years: An Analysis of Daily Price Ranges
This paper analyzes daily wheat price volatility over an observation period of more than 140 years, using daily high and low prices of futures contracts traded at the Chicago Board of Trade (CBOT), starting in 1877. We find that volatility differences between the identified regimes is much more important than volatility differences within the regimes, even when conditioning on state variables such as business cycles or inflation. Our findings suggest that the neglect of regimes can lead to a severe misinterpretation of the results when volatilities are correlated with exogenous variables. Further, historical volatility estimates derived from average price data, as is typically done in literature, are upward biased. The bias ranges between 0% and 22% across regimes. The magnitude potentially explains contradictory findings on volatility patterns in earlier studies.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信