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These are fed into a calibrated recursive-preference multicountry model, whose moments are compared with data. 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GMM standard errors are reported in parentheses, and Wald-test p-values in brackets.",161 "units_stated_in_notes": true,162 "standard_errors_description": "unclear"163 },164 "figures": {165 "uncertainty_shown": "mixed"166 },167 "conclusion": {168 "bounded_claims": true,169 "policy_implications": false,170 "open_questions": true,171 "restates_contribution": true172 },173 "hedging": {174 "level": "moderate",175 "typical_devices": [176 "'good, but not perfect, alignment'",177 "explicit acknowledgment of unmatched cross-country spread",178 "'broadly consistent with the data'",179 "stated directions for future research"180 ]181 },182 "claim_evidence": [183 {184 "claim": "G-10 countries differ substantially in exposure to global long-run growth news, but not to short-run shocks",185 "evidence_type": "table",186 "evidence_ref": "Table I"187 },188 {189 "claim": "Homogeneous-exposure recursive risk sharing generates the forward premium anomaly but not carry-trade returns",190 "evidence_type": "table",191 "evidence_ref": "Table III"192 },193 {194 "claim": "Heterogeneous exposure replicates HML-FX and HML-NFA carry-trade properties and cross-sectional patterns",195 "evidence_type": "figure",196 "evidence_ref": "Figures 3, 5, 6; Table III"197 },198 {199 "claim": "Low-exposure countries' NFA deteriorates and high-exposure currencies appreciate after negative global long-run shocks",200 "evidence_type": "figure",201 "evidence_ref": "Figures 7, 8; Table IV"202 },203 {204 "claim": "GMM estimates are close to the calibration; the EZ model is not rejected while CRRA is strongly rejected",205 "evidence_type": "table",206 "evidence_ref": "Table V"207 }208 ],209 "structural_summary": "The paper opens with an empirical stylized fact: G-10 countries are exposed heterogeneously to global long-run growth news. It then builds a multicountry Epstein-Zin risk-sharing model with long- and short-run shocks and calibrates it. A homogeneous-exposure benchmark is shown to fail on carry-trade returns, and heterogeneous exposure resolves that failure. Further testable predictions on NFA dynamics and exchange-rate responses are checked against the data, followed by a GMM test of the moment restrictions. The conclusion acknowledges imperfect fit and sets out a future research agenda.",210 "writing_profile_keywords": [211 "structural general equilibrium",212 "long-run risk",213 "recursive preferences",214 "carry trade",215 "model-data moment comparison",216 "news shocks",217 "net foreign assets"218 ],219 "confidence": 0.8,220 "notes": "Introduction excerpts are truncated, so the explicit list of contributions and any roadmap may be cut off. Section I is empirical data and estimation, but it is labeled 'data' because its main role is measuring exposures. 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