Attention to the tail(s) : global financial conditions and exchange rate risks
Gespeichert in:
| Autor*in: |
Eguren-Martin, Fernando [verfasserIn] Sokol, Andrej [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: IMF economic review - Internationaler Währungsfonds, Heidelberg : Springer Nature, 2010, 70(2022), 3 vom: Sept., Seite 487-519 |
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| Übergeordnetes Werk: |
volume:70 ; year:2022 ; number:3 ; month:09 ; pages:487-519 |
| Links: |
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| DOI / URN: |
10.1057/s41308-022-00160-0 |
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| Katalog-ID: |
1821573102 |
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| 982 | |2 26 |1 00 |x DE-206 |b We document how the entire distribution of exchange rate returns responds to changes in global financial conditions. We measure global financial conditions as the common component of country-specific financial condition indices, computed consistently across a large panel of developed and emerging economies. Using quantile regression, we provide a characterisation and ranking of the tail behaviour of a large sample of currencies in response to a tightening of global financial conditions, corroborating (and quantifying) some of the prevailing narratives about safe haven and risky currencies. Compared to most standard approaches, our methodology delivers a more nuanced picture of exchange rate behaviour, allowing for example to make probabilistic statements about the likelihood of observing large swings in returns given the prevailing global financial environment. We also identify macroeconomic fundamentals associated with different tail dynamics: currencies of countries with higher interest rates, low levels of international reserves and large fiscal deficits display more marked increases in the likelihood of large losses in response to a tightening of global financial conditions. | ||
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10.1057/s41308-022-00160-0 doi (DE-627)1821573102 (DE-599)KXP1821573102 DE-627 ger DE-627 rda eng Eguren-Martin, Fernando verfasserin aut Attention to the tail(s) global financial conditions and exchange rate risks Fernando Eguren-Martin, Andrej Sokol 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Exchange rates (dpeaa)DE-206 Financial conditions indices (dpeaa)DE-206 Global financial cycle (dpeaa)DE-206 Quantile regression (dpeaa)DE-206 Tail risks (dpeaa)DE-206 Sokol, Andrej verfasserin aut Enthalten in Internationaler Währungsfonds IMF economic review Heidelberg : Springer Nature, 2010 70(2022), 3 vom: Sept., Seite 487-519 Online-Ressource (DE-627)636510522 (DE-600)2576115-8 (DE-576)333370155 2041-417X nnns volume:70 year:2022 number:3 month:09 pages:487-519 https://link.springer.com/content/pdf/10.1057/s41308-022-00160-0.pdf Verlag lizenzpflichtig https://doi.org/10.1057/s41308-022-00160-0 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2937 GBV_ILN_2941 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 70 2022 3 9 487-519 26 01 0206 4208449624 x1z 10-11-22 26 00 DE-206 We document how the entire distribution of exchange rate returns responds to changes in global financial conditions. We measure global financial conditions as the common component of country-specific financial condition indices, computed consistently across a large panel of developed and emerging economies. Using quantile regression, we provide a characterisation and ranking of the tail behaviour of a large sample of currencies in response to a tightening of global financial conditions, corroborating (and quantifying) some of the prevailing narratives about safe haven and risky currencies. Compared to most standard approaches, our methodology delivers a more nuanced picture of exchange rate behaviour, allowing for example to make probabilistic statements about the likelihood of observing large swings in returns given the prevailing global financial environment. We also identify macroeconomic fundamentals associated with different tail dynamics: currencies of countries with higher interest rates, low levels of international reserves and large fiscal deficits display more marked increases in the likelihood of large losses in response to a tightening of global financial conditions. |
| spelling |
10.1057/s41308-022-00160-0 doi (DE-627)1821573102 (DE-599)KXP1821573102 DE-627 ger DE-627 rda eng Eguren-Martin, Fernando verfasserin aut Attention to the tail(s) global financial conditions and exchange rate risks Fernando Eguren-Martin, Andrej Sokol 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Exchange rates (dpeaa)DE-206 Financial conditions indices (dpeaa)DE-206 Global financial cycle (dpeaa)DE-206 Quantile regression (dpeaa)DE-206 Tail risks (dpeaa)DE-206 Sokol, Andrej verfasserin aut Enthalten in Internationaler Währungsfonds IMF economic review Heidelberg : Springer Nature, 2010 70(2022), 3 vom: Sept., Seite 487-519 Online-Ressource (DE-627)636510522 (DE-600)2576115-8 (DE-576)333370155 2041-417X nnns volume:70 year:2022 number:3 month:09 pages:487-519 https://link.springer.com/content/pdf/10.1057/s41308-022-00160-0.pdf Verlag lizenzpflichtig https://doi.org/10.1057/s41308-022-00160-0 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2937 GBV_ILN_2941 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 70 2022 3 9 487-519 26 01 0206 4208449624 x1z 10-11-22 26 00 DE-206 We document how the entire distribution of exchange rate returns responds to changes in global financial conditions. We measure global financial conditions as the common component of country-specific financial condition indices, computed consistently across a large panel of developed and emerging economies. Using quantile regression, we provide a characterisation and ranking of the tail behaviour of a large sample of currencies in response to a tightening of global financial conditions, corroborating (and quantifying) some of the prevailing narratives about safe haven and risky currencies. Compared to most standard approaches, our methodology delivers a more nuanced picture of exchange rate behaviour, allowing for example to make probabilistic statements about the likelihood of observing large swings in returns given the prevailing global financial environment. We also identify macroeconomic fundamentals associated with different tail dynamics: currencies of countries with higher interest rates, low levels of international reserves and large fiscal deficits display more marked increases in the likelihood of large losses in response to a tightening of global financial conditions. |
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10.1057/s41308-022-00160-0 doi (DE-627)1821573102 (DE-599)KXP1821573102 DE-627 ger DE-627 rda eng Eguren-Martin, Fernando verfasserin aut Attention to the tail(s) global financial conditions and exchange rate risks Fernando Eguren-Martin, Andrej Sokol 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Exchange rates (dpeaa)DE-206 Financial conditions indices (dpeaa)DE-206 Global financial cycle (dpeaa)DE-206 Quantile regression (dpeaa)DE-206 Tail risks (dpeaa)DE-206 Sokol, Andrej verfasserin aut Enthalten in Internationaler Währungsfonds IMF economic review Heidelberg : Springer Nature, 2010 70(2022), 3 vom: Sept., Seite 487-519 Online-Ressource (DE-627)636510522 (DE-600)2576115-8 (DE-576)333370155 2041-417X nnns volume:70 year:2022 number:3 month:09 pages:487-519 https://link.springer.com/content/pdf/10.1057/s41308-022-00160-0.pdf Verlag lizenzpflichtig https://doi.org/10.1057/s41308-022-00160-0 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2937 GBV_ILN_2941 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 70 2022 3 9 487-519 26 01 0206 4208449624 x1z 10-11-22 26 00 DE-206 We document how the entire distribution of exchange rate returns responds to changes in global financial conditions. We measure global financial conditions as the common component of country-specific financial condition indices, computed consistently across a large panel of developed and emerging economies. Using quantile regression, we provide a characterisation and ranking of the tail behaviour of a large sample of currencies in response to a tightening of global financial conditions, corroborating (and quantifying) some of the prevailing narratives about safe haven and risky currencies. Compared to most standard approaches, our methodology delivers a more nuanced picture of exchange rate behaviour, allowing for example to make probabilistic statements about the likelihood of observing large swings in returns given the prevailing global financial environment. We also identify macroeconomic fundamentals associated with different tail dynamics: currencies of countries with higher interest rates, low levels of international reserves and large fiscal deficits display more marked increases in the likelihood of large losses in response to a tightening of global financial conditions. |
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10.1057/s41308-022-00160-0 doi (DE-627)1821573102 (DE-599)KXP1821573102 DE-627 ger DE-627 rda eng Eguren-Martin, Fernando verfasserin aut Attention to the tail(s) global financial conditions and exchange rate risks Fernando Eguren-Martin, Andrej Sokol 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Exchange rates (dpeaa)DE-206 Financial conditions indices (dpeaa)DE-206 Global financial cycle (dpeaa)DE-206 Quantile regression (dpeaa)DE-206 Tail risks (dpeaa)DE-206 Sokol, Andrej verfasserin aut Enthalten in Internationaler Währungsfonds IMF economic review Heidelberg : Springer Nature, 2010 70(2022), 3 vom: Sept., Seite 487-519 Online-Ressource (DE-627)636510522 (DE-600)2576115-8 (DE-576)333370155 2041-417X nnns volume:70 year:2022 number:3 month:09 pages:487-519 https://link.springer.com/content/pdf/10.1057/s41308-022-00160-0.pdf Verlag lizenzpflichtig https://doi.org/10.1057/s41308-022-00160-0 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2937 GBV_ILN_2941 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 70 2022 3 9 487-519 26 01 0206 4208449624 x1z 10-11-22 26 00 DE-206 We document how the entire distribution of exchange rate returns responds to changes in global financial conditions. We measure global financial conditions as the common component of country-specific financial condition indices, computed consistently across a large panel of developed and emerging economies. Using quantile regression, we provide a characterisation and ranking of the tail behaviour of a large sample of currencies in response to a tightening of global financial conditions, corroborating (and quantifying) some of the prevailing narratives about safe haven and risky currencies. Compared to most standard approaches, our methodology delivers a more nuanced picture of exchange rate behaviour, allowing for example to make probabilistic statements about the likelihood of observing large swings in returns given the prevailing global financial environment. We also identify macroeconomic fundamentals associated with different tail dynamics: currencies of countries with higher interest rates, low levels of international reserves and large fiscal deficits display more marked increases in the likelihood of large losses in response to a tightening of global financial conditions. |
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10.1057/s41308-022-00160-0 doi (DE-627)1821573102 (DE-599)KXP1821573102 DE-627 ger DE-627 rda eng Eguren-Martin, Fernando verfasserin aut Attention to the tail(s) global financial conditions and exchange rate risks Fernando Eguren-Martin, Andrej Sokol 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Exchange rates (dpeaa)DE-206 Financial conditions indices (dpeaa)DE-206 Global financial cycle (dpeaa)DE-206 Quantile regression (dpeaa)DE-206 Tail risks (dpeaa)DE-206 Sokol, Andrej verfasserin aut Enthalten in Internationaler Währungsfonds IMF economic review Heidelberg : Springer Nature, 2010 70(2022), 3 vom: Sept., Seite 487-519 Online-Ressource (DE-627)636510522 (DE-600)2576115-8 (DE-576)333370155 2041-417X nnns volume:70 year:2022 number:3 month:09 pages:487-519 https://link.springer.com/content/pdf/10.1057/s41308-022-00160-0.pdf Verlag lizenzpflichtig https://doi.org/10.1057/s41308-022-00160-0 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2937 GBV_ILN_2941 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 70 2022 3 9 487-519 26 01 0206 4208449624 x1z 10-11-22 26 00 DE-206 We document how the entire distribution of exchange rate returns responds to changes in global financial conditions. We measure global financial conditions as the common component of country-specific financial condition indices, computed consistently across a large panel of developed and emerging economies. Using quantile regression, we provide a characterisation and ranking of the tail behaviour of a large sample of currencies in response to a tightening of global financial conditions, corroborating (and quantifying) some of the prevailing narratives about safe haven and risky currencies. Compared to most standard approaches, our methodology delivers a more nuanced picture of exchange rate behaviour, allowing for example to make probabilistic statements about the likelihood of observing large swings in returns given the prevailing global financial environment. We also identify macroeconomic fundamentals associated with different tail dynamics: currencies of countries with higher interest rates, low levels of international reserves and large fiscal deficits display more marked increases in the likelihood of large losses in response to a tightening of global financial conditions. |
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Enthalten in IMF economic review 70(2022), 3 vom: Sept., Seite 487-519 volume:70 year:2022 number:3 month:09 pages:487-519 |
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26 00 DE-206 We document how the entire distribution of exchange rate returns responds to changes in global financial conditions. We measure global financial conditions as the common component of country-specific financial condition indices, computed consistently across a large panel of developed and emerging economies. Using quantile regression, we provide a characterisation and ranking of the tail behaviour of a large sample of currencies in response to a tightening of global financial conditions, corroborating (and quantifying) some of the prevailing narratives about safe haven and risky currencies. Compared to most standard approaches, our methodology delivers a more nuanced picture of exchange rate behaviour, allowing for example to make probabilistic statements about the likelihood of observing large swings in returns given the prevailing global financial environment. We also identify macroeconomic fundamentals associated with different tail dynamics: currencies of countries with higher interest rates, low levels of international reserves and large fiscal deficits display more marked increases in the likelihood of large losses in response to a tightening of global financial conditions Attention to the tail(s) global financial conditions and exchange rate risks Fernando Eguren-Martin, Andrej Sokol Exchange rates (dpeaa)DE-206 Financial conditions indices (dpeaa)DE-206 Global financial cycle (dpeaa)DE-206 Quantile regression (dpeaa)DE-206 Tail risks (dpeaa)DE-206 |
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3 |
| title_short |
Attention to the tail(s) |
| url |
https://link.springer.com/content/pdf/10.1057/s41308-022-00160-0.pdf https://doi.org/10.1057/s41308-022-00160-0 |
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Sokol, Andrej |
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| doi_str |
10.1057/s41308-022-00160-0 |
| up_date |
2024-07-04T21:22:46.749Z |
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code="j">2022</subfield><subfield code="e">3</subfield><subfield code="c">9</subfield><subfield code="h">487-519</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">01</subfield><subfield code="x">0206</subfield><subfield code="b">4208449624</subfield><subfield code="y">x1z</subfield><subfield code="z">10-11-22</subfield></datafield><datafield tag="982" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="b">We document how the entire distribution of exchange rate returns responds to changes in global financial conditions. We measure global financial conditions as the common component of country-specific financial condition indices, computed consistently across a large panel of developed and emerging economies. Using quantile regression, we provide a characterisation and ranking of the tail behaviour of a large sample of currencies in response to a tightening of global financial conditions, corroborating (and quantifying) some of the prevailing narratives about safe haven and risky currencies. Compared to most standard approaches, our methodology delivers a more nuanced picture of exchange rate behaviour, allowing for example to make probabilistic statements about the likelihood of observing large swings in returns given the prevailing global financial environment. We also identify macroeconomic fundamentals associated with different tail dynamics: currencies of countries with higher interest rates, low levels of international reserves and large fiscal deficits display more marked increases in the likelihood of large losses in response to a tightening of global financial conditions.</subfield></datafield></record></collection>
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7.3989506 |