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1{2 "validation_errors": [],3 "doc_id": "jof_12501",4 "ontology_version": "1.0",5 "prompt_version": "1.0",6 "model": "claude-opus-5-5",7 "effort": "medium",8 "annotated_at": "2026-11-03T22:58:00+00:00",9 "source_sha256": "a5bcb20feb92041e3cb674521d8e69fca008f3eab01e4f7c23ad1819a7b6e7fc",10 "parser": "pymupdf-jof-heuristics-1.3",11 "payload_chars": 23766,12 "usage": {13  "input": 8419,14  "output": 2343,15  "cache_read": 3968,16  "cache_write": 017 },18 "cost_usd": 0.08133,19 "request_id": "req_011CggpdcTRn5zCxq5bG1H3D",20 "annotation": {21  "genre": "mixed_theory_empirical",22  "subfield": "asset_pricing",23  "subfield_secondary": "international_finance",24  "primary_method": "structural_estimation",25  "identification": {26   "estimand": "Multiperiod exposures of interest-rate-sorted currency baskets to identified macroeconomic shocks, and the horizon-dependent prices of those exposures (shock exposure and shock price elasticities).",27   "strategy": "A structural VAR with stochastic variance for U.S. consumption growth, inflation, the nominal rate and basket exchange-rate growth, with cross-equation restrictions from recursive preferences. Structural shocks are identified through zero restrictions on the impact matrix. The model appears to be estimated with Bayesian methods, given that credible intervals are reported.",28   "key_assumptions": [29    "A representative U.S. agent with recursive preferences prices currency returns.",30    "The zero restrictions on the impact matrix correctly identify the structural shocks.",31    "Macro and exchange-rate dynamics follow a VAR with a single common stochastic variance factor.",32    "The foreign pricing kernel need not be modeled, so market completeness is not assumed."33   ],34   "threats_addressed": [35    "Comparison of unrestricted and restricted exposure elasticities.",36    "Statistical insignificance of risk premia at long horizons is acknowledged."37   ],38   "causal_language_strength": 2,39   "uses_causal_claim": false40  },41  "abstract_moves": {42   "question": {43    "present": true,44    "sentence_index": 045   },46   "gap": {47    "present": false,48    "sentence_index": -149   },50   "method": {51    "present": true,52    "sentence_index": 053   },54   "results": {55    "present": true,56    "sentence_index": 157   },58   "magnitude": {59    "present": false,60    "sentence_index": -161   },62   "contribution": {63    "present": true,64    "sentence_index": 465   }66  },67  "introduction": {68   "moves": [69    {70     "paragraph_index": 0,71     "move": "motivation"72    },73    {74     "paragraph_index": 0,75     "move": "preview_of_results"76    },77    {78     "paragraph_index": 1,79     "move": "preview_of_results"80    },81    {82     "paragraph_index": 1,83     "move": "preview_of_approach"84    },85    {86     "paragraph_index": 2,87     "move": "preview_of_approach"88    },89    {90     "paragraph_index": 3,91     "move": "preview_of_results"92    },93    {94     "paragraph_index": 4,95     "move": "preview_of_results"96    },97    {98     "paragraph_index": 4,99     "move": "related_literature_positioning"100    },101    {102     "paragraph_index": 5,103     "move": "preview_of_results"104    },105    {106     "paragraph_index": 5,107     "move": "policy_or_broader_implication"108    },109    {110     "paragraph_index": 6,111     "move": "preview_of_results"112    },113    {114     "paragraph_index": 6,115     "move": "related_literature_positioning"116    },117    {118     "paragraph_index": 7,119     "move": "literature_gap"120    },121    {122     "paragraph_index": 8,123     "move": "related_literature_positioning"124    },125    {126     "paragraph_index": 9,127     "move": "contribution_statement"128    },129    {130     "paragraph_index": 10,131     "move": "related_literature_positioning"132    },133    {134     "paragraph_index": 10,135     "move": "roadmap"136    }137   ],138   "contribution_paragraph_index": 9,139   "contribution_types": [140    "new_evidence",141    "new_theory_or_model"142   ],143   "roadmap_present": true,144   "literature_positioning_location": "inside_introduction"145  },146  "section_roles": [147   {148    "idx": 0,149    "role": "introduction"150   },151   {152    "idx": 1,153    "role": "results"154   },155   {156    "idx": 2,157    "role": "theory"158   },159   {160    "idx": 3,161    "role": "results"162   },163   {164    "idx": 4,165    "role": "conclusion"166   },167   {168    "idx": 5,169    "role": "appendix"170   },171   {172    "idx": 6,173    "role": "appendix"174   },175   {176    "idx": 7,177    "role": "appendix"178   },179   {180    "idx": 8,181    "role": "appendix"182   },183   {184    "idx": 9,185    "role": "appendix"186   },187   {188    "idx": 10,189    "role": "appendix"190   }191  ],192  "results_presentation": {193   "economic_significance_discussed": true,194   "statistical_significance_language": "confidence_intervals",195   "magnitude_statements_in_intro": true196  },197  "robustness": {198   "location": "appendix",199   "types": [200    "alternative_specification"201   ]202  },203  "tables": {204   "convention_notes": "Notes state model equations and identifying restrictions, data frequency and sample period. Uncertainty is reported as 95% credible intervals in parentheses rather than stars.",205   "units_stated_in_notes": true,206   "standard_errors_description": "none"207  },208  "figures": {209   "uncertainty_shown": "yes"210  },211  "conclusion": {212   "bounded_claims": true,213   "policy_implications": false,214   "open_questions": false,215   "restates_contribution": true216  },217  "hedging": {218   "level": "moderate",219   "typical_devices": [220    "'suggests' and 'qualitatively similar'",221    "explicitly noting statistical insignificance at long horizons",222    "deferring the economic origins of the shock to future research",223    "describing the study as complementary to existing work"224   ]225  },226  "claim_evidence": [227   {228    "claim": "The term structure of average carry log returns slopes slightly downward, from about 1.13% to 0.80% per quarter.",229    "evidence_type": "figure",230    "evidence_ref": "Figure 1"231   },232   {233    "claim": "Higher yield currencies have larger multiperiod exposures to interest rate and inflation shocks.",234    "evidence_type": "figure",235    "evidence_ref": "Figures 2-3; Table III"236   },237   {238    "claim": "Prices of the interest rate, inflation and consumption growth risks are positive, with the interest rate risk priced highest.",239    "evidence_type": "table",240    "evidence_ref": "Table VI; Figure 4"241   },242   {243    "claim": "The interest rate shock affects consumption with a lag and behaves like Bansal-Yaron long-run risk.",244    "evidence_type": "figure",245    "evidence_ref": "Figure 5"246   },247   {248    "claim": "Three-month currency risk premia decompose into contributions from the separate macro shocks.",249    "evidence_type": "table",250    "evidence_ref": "Table IV"251   },252   {253    "claim": "The variance shock is the sole driver of time variation in risk premia.",254    "evidence_type": "figure",255    "evidence_ref": "Figure D1"256   }257  ],258  "structural_summary": "Opens with a new stylized fact (a downward-sloping carry return term structure) and asks which macro risks it compensates. The introduction previews findings shock by shock, then positions the paper against term-structure and long-run risk work and lists facts future models must match. Section I sorts currencies into baskets and estimates a reduced-form VAR with exposure elasticities. Section II builds a recursive-preference pricing kernel and describes estimation. Section III reports exposure and price elasticities and links the interest rate shock to long-run risk. A short conclusion restates the findings, and appendices cover data, model solution and parameter estimates.",259  "writing_profile_keywords": [260   "first-person singular",261   "shock elasticities",262   "term structure",263   "structural VAR",264   "recursive preferences",265   "credible intervals",266   "stylized-fact motivation",267   "complementarity framing"268  ],269  "confidence": 0.8,270  "notes": "Section I mixes reduced-form evidence with model setup and is labeled results. The 'credible intervals' suggest Bayesian estimation. Robustness is limited to the unrestricted-versus-restricted comparison in Figure C1."271 },272 "deterministic_checks": {273  "roadmap_regex": true,274  "contribution_regex_in_intro": true,275  "magnitude_in_abstract": false,276  "abstract_n_sentences": 6,277  "intro_n_paragraphs": 11,278  "intro_n_words": 1501,279  "causal_words_in_abstract": 0,280  "hedge_words_in_abstract": 0,281  "stars_mentioned": false,282  "clustered_se_mentioned": false,283  "internet_appendix_mentioned": false,284  "section_roles_rule": {285   "0": "introduction",286   "1": "other",287   "2": "theory",288   "3": "results",289   "4": "conclusion",290   "5": "appendix",291   "6": "appendix",292   "7": "appendix",293   "8": "appendix",294   "9": "appendix",295   "10": "appendix"296  }297 },298 "schema_valid": true,299 "code_version": "feb6c9e-dirty"300}
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