{"title":"Monetary policy expectations and financial Markets: A Quantile-on-Quantile connectedness approach","authors":"Nader Naifar","doi":"10.1016/j.najef.2025.102389","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates how the United States (US) monetary policy expectations impact various financial market segments using a quantile-on-quantile connectedness approach. It employs the USD 1-year interest rate swap (1YUSA) as a proxy for these expectations. It also examines the interconnectedness between these expectations and key financial markets, including stocks, bonds, exchange rates, and derivatives. The analysis reveals a complex, nonlinear relationship. The impact of monetary policy expectations varies significantly across different market conditions and quantiles. Strong connectedness is particularly evident during extreme market conditions, with heightened sensitivity during periods of economic uncertainty or anticipated policy shifts. The results demonstrate that monetary policy expectations disproportionately influence financial markets, particularly during market stress. The strongest effects appear in the lower quantiles of interest rates and the upper quantiles of market indices. These findings are crucial for policymakers and investors, providing deeper insights into the market’s response to monetary signals. They also enhance strategies for risk management and policy formulation in an increasingly volatile global financial environment.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"77 ","pages":"Article 102389"},"PeriodicalIF":3.8000,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"North American Journal of Economics and Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1062940825000294","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates how the United States (US) monetary policy expectations impact various financial market segments using a quantile-on-quantile connectedness approach. It employs the USD 1-year interest rate swap (1YUSA) as a proxy for these expectations. It also examines the interconnectedness between these expectations and key financial markets, including stocks, bonds, exchange rates, and derivatives. The analysis reveals a complex, nonlinear relationship. The impact of monetary policy expectations varies significantly across different market conditions and quantiles. Strong connectedness is particularly evident during extreme market conditions, with heightened sensitivity during periods of economic uncertainty or anticipated policy shifts. The results demonstrate that monetary policy expectations disproportionately influence financial markets, particularly during market stress. The strongest effects appear in the lower quantiles of interest rates and the upper quantiles of market indices. These findings are crucial for policymakers and investors, providing deeper insights into the market’s response to monetary signals. They also enhance strategies for risk management and policy formulation in an increasingly volatile global financial environment.
期刊介绍:
The focus of the North-American Journal of Economics and Finance is on the economics of integration of goods, services, financial markets, at both regional and global levels with the role of economic policy in that process playing an important role. Both theoretical and empirical papers are welcome. Empirical and policy-related papers that rely on data and the experiences of countries outside North America are also welcome. Papers should offer concrete lessons about the ongoing process of globalization, or policy implications about how governments, domestic or international institutions, can improve the coordination of their activities. Empirical analysis should be capable of replication. Authors of accepted papers will be encouraged to supply data and computer programs.