{"title":"尼日利亚金融市场的波动传导","authors":"Ismail O. Fasanya , Mary A. Akinde","doi":"10.1016/j.jfds.2019.01.003","DOIUrl":null,"url":null,"abstract":"<div><p>This paper examines the return and volatility spillovers in the Nigerian Financial market. We specifically analyse the spillovers in the capital market, money market and foreign exchange market utilizing monthly data for the period January 2002 to June 2017. The paper employs the Diebold and Yilmaz (DY hereafter) (2009, 2012) approach to compute the total spillover, directional spillover, and net spillover indexes. We also consider the rolling window analyses to capture the secular and cyclical movement in the financial markets over the period of consideration. The paper observes weak degree of interdependence as well as cross-market spillovers among the financial instruments.</p><p>The stock market is the largest net receiver and sender of return spillovers to other markets, while the foreign exchange market is the net giver of volatility spillovers followed by the money market, and the stock market is the net recipient. In addition, return spillovers unveils slight trends and bursts while volatility spillovers show significant bursts but no trends. Concomitantly, the significant burst was attributed to the removal of currency peg in 2016 by the Central Bank of Nigeria. Our results are robust to the different VAR lag structure.</p></div>","PeriodicalId":36340,"journal":{"name":"Journal of Finance and Data Science","volume":"5 2","pages":"Pages 99-115"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jfds.2019.01.003","citationCount":"12","resultStr":"{\"title\":\"Volatility transmission in the Nigerian financial market\",\"authors\":\"Ismail O. Fasanya , Mary A. Akinde\",\"doi\":\"10.1016/j.jfds.2019.01.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper examines the return and volatility spillovers in the Nigerian Financial market. We specifically analyse the spillovers in the capital market, money market and foreign exchange market utilizing monthly data for the period January 2002 to June 2017. The paper employs the Diebold and Yilmaz (DY hereafter) (2009, 2012) approach to compute the total spillover, directional spillover, and net spillover indexes. We also consider the rolling window analyses to capture the secular and cyclical movement in the financial markets over the period of consideration. The paper observes weak degree of interdependence as well as cross-market spillovers among the financial instruments.</p><p>The stock market is the largest net receiver and sender of return spillovers to other markets, while the foreign exchange market is the net giver of volatility spillovers followed by the money market, and the stock market is the net recipient. In addition, return spillovers unveils slight trends and bursts while volatility spillovers show significant bursts but no trends. Concomitantly, the significant burst was attributed to the removal of currency peg in 2016 by the Central Bank of Nigeria. Our results are robust to the different VAR lag structure.</p></div>\",\"PeriodicalId\":36340,\"journal\":{\"name\":\"Journal of Finance and Data Science\",\"volume\":\"5 2\",\"pages\":\"Pages 99-115\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.jfds.2019.01.003\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Finance and Data Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2405918818300345\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Finance and Data Science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405918818300345","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 12
摘要
本文研究了尼日利亚金融市场的收益和波动溢出效应。我们利用2002年1月至2017年6月的月度数据,具体分析了资本市场、货币市场和外汇市场的溢出效应。本文采用Diebold和Yilmaz(下文称DY)(2009、2012)的方法计算总溢出、定向溢出和净溢出指标。我们还考虑了滚动窗口分析,以捕捉在考虑期间金融市场的长期和周期性运动。本文观察到金融工具之间存在较弱的相互依赖程度和跨市场溢出效应。股票市场是其他市场收益溢出效应的最大净接受者和发送者,外汇市场是波动溢出效应的净给予者,其次是货币市场,股票市场是净接受者。此外,回报溢出显示出轻微的趋势和爆发,而波动性溢出显示出显著的爆发,但没有趋势。与此同时,尼日利亚央行(Central Bank of Nigeria)在2016年取消了货币挂钩制度,这一重大突破也被归因于此。我们的结果对不同的VAR滞后结构具有鲁棒性。
Volatility transmission in the Nigerian financial market
This paper examines the return and volatility spillovers in the Nigerian Financial market. We specifically analyse the spillovers in the capital market, money market and foreign exchange market utilizing monthly data for the period January 2002 to June 2017. The paper employs the Diebold and Yilmaz (DY hereafter) (2009, 2012) approach to compute the total spillover, directional spillover, and net spillover indexes. We also consider the rolling window analyses to capture the secular and cyclical movement in the financial markets over the period of consideration. The paper observes weak degree of interdependence as well as cross-market spillovers among the financial instruments.
The stock market is the largest net receiver and sender of return spillovers to other markets, while the foreign exchange market is the net giver of volatility spillovers followed by the money market, and the stock market is the net recipient. In addition, return spillovers unveils slight trends and bursts while volatility spillovers show significant bursts but no trends. Concomitantly, the significant burst was attributed to the removal of currency peg in 2016 by the Central Bank of Nigeria. Our results are robust to the different VAR lag structure.