1{"text": "{\"genre\":\"mixed_theory_empirical\",\"subfield\":\"asset_pricing\",\"subfield_secondary\":\"international_finance\",\"primary_method\":\"reduced_form_regression\",\"identification\":{\"estimand\":\"Cross-sectional risk premium (portfolio alpha) of firms in low versus high shipping-cost industries, and the sign of the price of foreign productivity shock risk\",\"strategy\":\"Portfolio sorts on industry shipping costs and weight-to-value, with five-factor Fama-French alphas; conditional sorts on size and profitability; betas on Chinese import growth; checks of earnings-announcement returns and analyst forecast errors; a calibrated Melitz-type GE model\",\"key_assumptions\":[\"Shipping costs capture structural, slow-moving barriers to trade that determine exposure to globalization\",\"Five-factor alphas reflect compensation for priced risk rather than mispricing\",\"Chinese import growth proxies for foreign productivity shocks\"],\"threats_addressed\":[\"loadings on known risk factors\",\"mispricing or a wedge between ex post realized and ex ante expected returns (tested with earnings announcements and analyst forecasts)\",\"sample specificity (European stocks, subperiods)\",\"weighting scheme (value-weighted portfolios)\"],\"causal_language_strength\":3,\"uses_causal_claim\":true},\"abstract_moves\":{\"question\":{\"present\":true,\"sentence_index\":0},\"gap\":{\"present\":false,\"sentence_index\":-1},\"method\":{\"present\":true,\"sentence_index\":1},\"results\":{\"present\":true,\"sentence_index\":2},\"magnitude\":{\"present\":true,\"sentence_index\":2},\"contribution\":{\"present\":true,\"sentence_index\":5}},\"introduction\":{\"moves\":[{\"paragraph_index\":0,\"move\":\"motivation\"},{\"paragraph_index\":1,\"move\":\"preview_of_approach\"},{\"paragraph_index\":1,\"move\":\"mechanism_or_theory_sketch\"},{\"paragraph_index\":2,\"move\":\"preview_of_approach\"},{\"paragraph_index\":3,\"move\":\"preview_of_results\"},{\"paragraph_index\":3,\"move\":\"robustness_mention\"},{\"paragraph_index\":4,\"move\":\"preview_of_results\"},{\"paragraph_index\":4,\"move\":\"tension_or_puzzle\"},{\"paragraph_index\":5,\"move\":\"mechanism_or_theory_sketch\"},{\"paragraph_index\":6,\"move\":\"preview_of_results\"},{\"paragraph_index\":7,\"move\":\"mechanism_or_theory_sketch\"},{\"paragraph_index\":8,\"move\":\"related_literature_positioning\"},{\"paragraph_index\":8,\"move\":\"contribution_statement\"},{\"paragraph_index\":9,\"move\":\"contribution_statement\"},{\"paragraph_index\":10,\"move\":\"related_literature_positioning\"},{\"paragraph_index\":11,\"move\":\"related_literature_positioning\"},{\"paragraph_index\":12,\"move\":\"related_literature_positioning\"},{\"paragraph_index\":13,\"move\":\"roadmap\"}],\"contribution_paragraph_index\":9,\"contribution_types\":[\"new_evidence\",\"new_theory_or_model\"],\"roadmap_present\":true,\"literature_positioning_location\":\"inside_introduction\"},\"section_roles\":[{\"idx\":0,\"role\":\"introduction\"},{\"idx\":1,\"role\":\"results\"},{\"idx\":2,\"role\":\"theory\"},{\"idx\":3,\"role\":\"conclusion\"}],\"results_presentation\":{\"economic_significance_discussed\":true,\"statistical_significance_language\":\"unclear\",\"magnitude_statements_in_intro\":true},\"robustness\":{\"location\":\"within_results\",\"types\":[\"subsample\",\"alternative_measure\",\"alternative_sample_period\",\"alternative_specification\",\"sensitivity_to_parameters\"]},\"tables\":{\"convention_notes\":\"Table notes define how shipping costs and weight-to-value are constructed, give the sample (exchanges, SIC range, period), and state that monthly alphas are multiplied by 12 to annualize. Panels split the shipping-cost and weight-to-value sorts. The calibration tables give parameter sources and report simulated moments with Newey-West standard errors.\",\"units_stated_in_notes\":true,\"standard_errors_description\":\"mixed\"},\"figures\":{\"uncertainty_shown\":\"unclear\"},\"conclusion\":{\"bounded_claims\":true,\"policy_implications\":false,\"open_questions\":true,\"restates_contribution\":true},\"hedging\":{\"level\":\"moderate\",\"typical_devices\":[\"suggesting that\",\"can be consistent with\",\"we hope to stimulate\",\"we leave to future research\",\"may help rationalize\"]},\"claim_evidence\":[{\"claim\":\"Shipping costs vary substantially across industries, persist over time, and correlate negatively with trade flows\",\"evidence_type\":\"table\",\"evidence_ref\":\"Tables I-III\"},{\"claim\":\"The long high-SC, short low-SC portfolio earns about -7% per year, and five-factor alphas are large\",\"evidence_type\":\"table\",\"evidence_ref\":\"Tables IV-V\"},{\"claim\":\"The premium also holds in European stocks\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table VI\"},{\"claim\":\"No evidence of mispricing from earnings-announcement returns or analyst forecast errors\",\"evidence_type\":\"table\",\"evidence_ref\":\"Tables VII-VIII\"},{\"claim\":\"The premium is concentrated among small, less profitable firms, which load negatively on Chinese import growth\",\"evidence_type\":\"table\",\"evidence_ref\":\"Tables IX-X\"},{\"claim\":\"The premium is stronger in industries with high trade elasticity and strong business-stealing effects, as the model predicts\",\"evidence_type\":\"table\",\"evidence_ref\":\"Tables XI-XII\"},{\"claim\":\"With perfect risk-sharing the model fails; with limited risk-sharing consumption falls after foreign shocks\",\"evidence_type\":\"figure\",\"evidence_ref\":\"Figures 1-3, Table XIV\"}],\"structural_summary\":\"The introduction moves from the mixed domestic effects of globalization to an asset-pricing lens. It previews the shipping-cost measure, the portfolio results and robustness, and the displacement interpretation, which it frames as a puzzle. It then sketches the model, previews the calibration outcome, positions the paper in four literatures, and closes with a roadmap. Section I builds the measure and estimates the premium, with robustness and mispricing checks folded into the results. Section II develops and calibrates a Melitz-type model and tests its cross-sectional predictions. A short conclusion restates the findings and leaves alternative frictions to future work.\",\"writing_profile_keywords\":[\"portfolio sorts\",\"risk premium\",\"puzzle framing\",\"trade model with asset prices\",\"calibration\",\"limited risk-sharing\",\"shipping costs proxy\"],\"confidence\":0.8,\"notes\":\"The empirical part relies on portfolio sorts with factor alphas; reduced_form_regression is the closest method category. The excerpts do not show how significance is reported in the main tables.\"}", "json": {"genre": "mixed_theory_empirical", "subfield": "asset_pricing", "subfield_secondary": "international_finance", "primary_method": "reduced_form_regression", "identification": {"estimand": "Cross-sectional risk premium (portfolio alpha) of firms in low versus high shipping-cost industries, and the sign of the price of foreign productivity shock risk", "strategy": "Portfolio sorts on industry shipping costs and weight-to-value, with five-factor Fama-French alphas; conditional sorts on size and profitability; betas on Chinese import growth; checks of earnings-announcement returns and analyst forecast errors; a calibrated Melitz-type GE model", "key_assumptions": ["Shipping costs capture structural, slow-moving barriers to trade that determine exposure to globalization", "Five-factor alphas reflect compensation for priced risk rather than mispricing", "Chinese import growth proxies for foreign productivity shocks"], "threats_addressed": ["loadings on known risk factors", "mispricing or a wedge between ex post realized and ex ante expected returns (tested with earnings announcements and analyst forecasts)", "sample specificity (European stocks, subperiods)", "weighting scheme (value-weighted portfolios)"], "causal_language_strength": 3, "uses_causal_claim": true}, "abstract_moves": {"question": {"present": true, "sentence_index": 0}, "gap": {"present": false, "sentence_index": -1}, "method": {"present": true, "sentence_index": 1}, "results": {"present": true, "sentence_index": 2}, "magnitude": {"present": true, "sentence_index": 2}, "contribution": {"present": true, "sentence_index": 5}}, "introduction": {"moves": [{"paragraph_index": 0, "move": "motivation"}, {"paragraph_index": 1, "move": "preview_of_approach"}, {"paragraph_index": 1, "move": "mechanism_or_theory_sketch"}, {"paragraph_index": 2, "move": "preview_of_approach"}, {"paragraph_index": 3, "move": "preview_of_results"}, {"paragraph_index": 3, "move": "robustness_mention"}, {"paragraph_index": 4, "move": "preview_of_results"}, {"paragraph_index": 4, "move": "tension_or_puzzle"}, {"paragraph_index": 5, "move": "mechanism_or_theory_sketch"}, {"paragraph_index": 6, "move": "preview_of_results"}, {"paragraph_index": 7, "move": "mechanism_or_theory_sketch"}, {"paragraph_index": 8, "move": "related_literature_positioning"}, {"paragraph_index": 8, "move": "contribution_statement"}, {"paragraph_index": 9, "move": "contribution_statement"}, {"paragraph_index": 10, "move": "related_literature_positioning"}, {"paragraph_index": 11, "move": "related_literature_positioning"}, {"paragraph_index": 12, "move": "related_literature_positioning"}, {"paragraph_index": 13, "move": "roadmap"}], "contribution_paragraph_index": 9, "contribution_types": ["new_evidence", "new_theory_or_model"], "roadmap_present": true, "literature_positioning_location": "inside_introduction"}, "section_roles": [{"idx": 0, "role": "introduction"}, {"idx": 1, "role": "results"}, {"idx": 2, "role": "theory"}, {"idx": 3, "role": "conclusion"}], "results_presentation": {"economic_significance_discussed": true, "statistical_significance_language": "unclear", "magnitude_statements_in_intro": true}, "robustness": {"location": "within_results", "types": ["subsample", "alternative_measure", "alternative_sample_period", "alternative_specification", "sensitivity_to_parameters"]}, "tables": {"convention_notes": "Table notes define how shipping costs and weight-to-value are constructed, give the sample (exchanges, SIC range, period), and state that monthly alphas are multiplied by 12 to annualize. Panels split the shipping-cost and weight-to-value sorts. The calibration tables give parameter sources and report simulated moments with Newey-West standard errors.", "units_stated_in_notes": true, "standard_errors_description": "mixed"}, "figures": {"uncertainty_shown": "unclear"}, "conclusion": {"bounded_claims": true, "policy_implications": false, "open_questions": true, "restates_contribution": true}, "hedging": {"level": "moderate", "typical_devices": ["suggesting that", "can be consistent with", "we hope to stimulate", "we leave to future research", "may help rationalize"]}, "claim_evidence": [{"claim": "Shipping costs vary substantially across industries, persist over time, and correlate negatively with trade flows", "evidence_type": "table", "evidence_ref": "Tables I-III"}, {"claim": "The long high-SC, short low-SC portfolio earns about -7% per year, and five-factor alphas are large", "evidence_type": "table", "evidence_ref": "Tables IV-V"}, {"claim": "The premium also holds in European stocks", "evidence_type": "table", "evidence_ref": "Table VI"}, {"claim": "No evidence of mispricing from earnings-announcement returns or analyst forecast errors", "evidence_type": "table", "evidence_ref": "Tables VII-VIII"}, {"claim": "The premium is concentrated among small, less profitable firms, which load negatively on Chinese import growth", "evidence_type": "table", "evidence_ref": "Tables IX-X"}, {"claim": "The premium is stronger in industries with high trade elasticity and strong business-stealing effects, as the model predicts", "evidence_type": "table", "evidence_ref": "Tables XI-XII"}, {"claim": "With perfect risk-sharing the model fails; with limited risk-sharing consumption falls after foreign shocks", "evidence_type": "figure", "evidence_ref": "Figures 1-3, Table XIV"}], "structural_summary": "The introduction moves from the mixed domestic effects of globalization to an asset-pricing lens. It previews the shipping-cost measure, the portfolio results and robustness, and the displacement interpretation, which it frames as a puzzle. It then sketches the model, previews the calibration outcome, positions the paper in four literatures, and closes with a roadmap. Section I builds the measure and estimates the premium, with robustness and mispricing checks folded into the results. Section II develops and calibrates a Melitz-type model and tests its cross-sectional predictions. A short conclusion restates the findings and leaves alternative frictions to future work.", "writing_profile_keywords": ["portfolio sorts", "risk premium", "puzzle framing", "trade model with asset prices", "calibration", "limited risk-sharing", "shipping costs proxy"], "confidence": 0.8, "notes": "The empirical part relies on portfolio sorts with factor alphas; reduced_form_regression is the closest method category. The excerpts do not show how significance is reported in the main tables."}, "model": "claude-opus-5-5", "stop_reason": "end_turn", "latency_s": 19.31, "usage": {"input": 8773, "output": 2352, "cache_read": 3968, "cache_write": 0}, "cost_usd": 0.082926, "request_id": "req_011CggqUyzLMpPtf6uLRAVKr", "cached": false, "ts": "2026-11-03T23:09:09+00:00", "effort": "medium"}