Explaining Monetary Spillovers: The Matrix Reloaded
This paper relies on a high‐frequency identification approach to provide new insights into monetary policy spillovers by major central banks. Our long and broad sample (1999–2019, from four major economies to 47 advanced and emerging market economies) allows us to accurately identify the properties...
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Veröffentlicht in: | Journal of money, credit and banking credit and banking, 2023-09, Vol.55 (6), p.1535-1568 |
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creator | KEARNS, JONATHAN SCHRIMPF, ANDREAS XIA, FAN DORA |
description | This paper relies on a high‐frequency identification approach to provide new insights into monetary policy spillovers by major central banks. Our long and broad sample (1999–2019, from four major economies to 47 advanced and emerging market economies) allows us to accurately identify the properties of spillovers and to shed light on different transmission channels. We find that spillovers by the Fed to foreign interest rates are economically large, but more surprisingly, document an intensification of spillovers by the European Central Bank over time. Spillovers are more significant to bond yields in advanced economies than they are to those in emerging markets. Differentiating across key spillover channels, we find strongest support for a financial links channel, but weaker evidence for the macroeconomic links channel and foreign exchange regime channel. |
doi_str_mv | 10.1111/jmcb.12996 |
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Differentiating across key spillover channels, we find strongest support for a financial links channel, but weaker evidence for the macroeconomic links channel and foreign exchange regime channel.</description><subject>Central banks</subject><subject>Emerging markets</subject><subject>financial integration</subject><subject>Foreign exchange</subject><subject>high‐frequency data</subject><subject>Interest rates</subject><subject>Market economies</subject><subject>Monetary policy</subject><subject>monetary policy spillovers</subject><subject>Spillover effect</subject><issn>0022-2879</issn><issn>1538-4616</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kMtOwzAQRS0EEqWw4QsisUNK8Ts2O6jKS62QoKytxJmAqzQOdkvbvyclSOy4m9kcnZm5CJ0TPCJdrhZLW4wI1VoeoAERTKVcEnmIBhhTmlKV6WN0EuMCY6wFJwPEJtu2zl3jmvdk5htY5WGXvLaurv0XhHidzD8gmeWr4LbJC9Q-L6E8RUdVXkc4-51D9HY3mY8f0unz_eP4ZppaTjOZEq2hKIWijJTCAhEC46LClmUFFJbkgpagFbUZlJxoXuVcyaJgSnNuyy5siC56bxv85xriyiz8OjTdSkOVkJJxlmUdddlTNvgYA1SmDW7ZvWEINvtSzL4U81NKByc9DNY3Lv6hSmLaXSH2COmRjath94_MPM3Gt732G6Ghbd4</recordid><startdate>202309</startdate><enddate>202309</enddate><creator>KEARNS, JONATHAN</creator><creator>SCHRIMPF, ANDREAS</creator><creator>XIA, FAN DORA</creator><general>Ohio State University Press</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>202309</creationdate><title>Explaining Monetary Spillovers: The Matrix Reloaded</title><author>KEARNS, JONATHAN ; SCHRIMPF, ANDREAS ; XIA, FAN DORA</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4276-199ebd58231d5ce15500bf0c37bebc1a52de982c7ed4194fa486bb38944cdddd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Central banks</topic><topic>Emerging markets</topic><topic>financial integration</topic><topic>Foreign exchange</topic><topic>high‐frequency data</topic><topic>Interest rates</topic><topic>Market economies</topic><topic>Monetary policy</topic><topic>monetary policy spillovers</topic><topic>Spillover effect</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>KEARNS, JONATHAN</creatorcontrib><creatorcontrib>SCHRIMPF, ANDREAS</creatorcontrib><creatorcontrib>XIA, FAN DORA</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><jtitle>Journal of money, credit and banking</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>KEARNS, JONATHAN</au><au>SCHRIMPF, ANDREAS</au><au>XIA, FAN DORA</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Explaining Monetary Spillovers: The Matrix Reloaded</atitle><jtitle>Journal of money, credit and banking</jtitle><date>2023-09</date><risdate>2023</risdate><volume>55</volume><issue>6</issue><spage>1535</spage><epage>1568</epage><pages>1535-1568</pages><issn>0022-2879</issn><eissn>1538-4616</eissn><abstract>This paper relies on a high‐frequency identification approach to provide new insights into monetary policy spillovers by major central banks. 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subjects | Central banks Emerging markets financial integration Foreign exchange high‐frequency data Interest rates Market economies Monetary policy monetary policy spillovers Spillover effect |
title | Explaining Monetary Spillovers: The Matrix Reloaded |
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