The paper investigates the determinants of the US$/€ exchange rate since its introduction in 1999, with a special focus on the recent subprime mortgage and sovereign debt financial crises. The econometric model is grounded on the asset pricing theory of exchange rate determination, which posits that current Exchange rate fluctuations are determined by the entire path of current and future revisions in expectations about fundamentals. In this perspective, we innovate the literature by conditioning on Fama-French and Charart risk factors, which directly measures changing market expectations about the economic outlook, as well as on new financial condition indexes and a large set of macroeconomic variables. The macro-finance augmented econometric model has a remarkable in-sample and out of sample predictive ability, largely outperforming a standard autoregressive specification neglecting macro-financial information. We also document a stable relationship between the US$/€-Charart momentum conditional correlation (CCW) and the euro area business cycle, potentially exploitable also within a system of early warning indicators of macro-financial imbalances. Comparison with available measures of economic sentiments shows that CCW yields a more accurate assessment, signaling a progressive weakening in euro area economic conditions since June 2014, consistent with the sluggish and scattered recovery from the sovereign debt crisis and the new Greek solvency crisis exploded in late spring/early summer 2015

Morana, C. (2017). The US$/€ exchange rate: Structural modeling and forecasting during the recent financial crises. JOURNAL OF FORECASTING, 36, 919-935 [10.1002/for.2430].

The US$/€ exchange rate: Structural modeling and forecasting during the recent financial crises

MORANA, CLAUDIO
2017

Abstract

The paper investigates the determinants of the US$/€ exchange rate since its introduction in 1999, with a special focus on the recent subprime mortgage and sovereign debt financial crises. The econometric model is grounded on the asset pricing theory of exchange rate determination, which posits that current Exchange rate fluctuations are determined by the entire path of current and future revisions in expectations about fundamentals. In this perspective, we innovate the literature by conditioning on Fama-French and Charart risk factors, which directly measures changing market expectations about the economic outlook, as well as on new financial condition indexes and a large set of macroeconomic variables. The macro-finance augmented econometric model has a remarkable in-sample and out of sample predictive ability, largely outperforming a standard autoregressive specification neglecting macro-financial information. We also document a stable relationship between the US$/€-Charart momentum conditional correlation (CCW) and the euro area business cycle, potentially exploitable also within a system of early warning indicators of macro-financial imbalances. Comparison with available measures of economic sentiments shows that CCW yields a more accurate assessment, signaling a progressive weakening in euro area economic conditions since June 2014, consistent with the sluggish and scattered recovery from the sovereign debt crisis and the new Greek solvency crisis exploded in late spring/early summer 2015
Articolo in rivista - Articolo scientifico
US$/€ exchange rate, asset pricing theory of exchange rate determination, macroeconomic and financial determinants, risk factors, subprime mortgage financial crisis, sovereign debt crisis, early warning indicators of macroeconomic and financial stress, forecasting, multivariate GARCH model.
English
2017
36
919
935
none
Morana, C. (2017). The US$/€ exchange rate: Structural modeling and forecasting during the recent financial crises. JOURNAL OF FORECASTING, 36, 919-935 [10.1002/for.2430].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/141626
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