1{2 "validation_errors": [],3 "repairs": [],4 "doc_id": "jof_12868",5 "ontology_version": "1.0",6 "prompt_version": "1.0",7 "model": "claude-opus-5-5",8 "effort": "medium",9 "annotated_at": "2026-11-03T23:27:05+00:00",10 "source_sha256": "a57cb353d0aa2af43ea37974d8db2294b5384caa1be7d2f92e15337144105d33",11 "parser": "pymupdf-jof-heuristics-1.3",12 "payload_chars": 22344,13 "usage": {14 "input": 7161,15 "output": 2295,16 "cache_read": 3968,17 "cache_write": 018 },19 "cost_usd": 0.075338,20 "request_id": "req_011CggrrNBHK6QoQyEYrAUjs",21 "annotation": {22 "genre": "empirical",23 "subfield": "financial_intermediation_banking",24 "subfield_secondary": "corporate_finance (risk management, hedging)",25 "primary_method": "difference_in_differences",26 "identification": {27 "estimand": "Causal effect of financial institutions' net worth on the intensity of interest rate and foreign exchange hedging (intensive margin, scaled by assets).",28 "strategy": "Difference-in-differences with 2009 as the treatment year. Treatment is defined by below-median mortgage-weighted local house price changes, or alternatively by housing supply elasticity. Supplemented by triple differences by real estate exposure tercile, propensity score matching, placebo years, and IV using house price changes.",29 "key_assumptions": [30 "Parallel trends between treated and control institutions absent the house-price net worth shock",31 "House price shocks affect hedging only through net worth, not through risk exposures or lending opportunities",32 "Housing supply elasticity and house price changes are plausibly exogenous to institutions' hedging demand"33 ],34 "threats_addressed": [35 "Changes in lending opportunities (triple differences, FX hedging)",36 "Changes in risk exposures (exposures controlled; treatment shown not to affect exposures)",37 "Reduction in assets alone (hedging scaled by assets)",38 "Sophistication or fixed costs of hedging (intensive margin, institution fixed effects)",39 "Risk shifting (trading declines; results hold away from distress)",40 "Regulatory capital concerns",41 "Pre-trends (placebo tests)"42 ],43 "causal_language_strength": 4,44 "uses_causal_claim": true45 },46 "abstract_moves": {47 "question": {48 "present": true,49 "sentence_index": 050 },51 "gap": {52 "present": false,53 "sentence_index": -154 },55 "method": {56 "present": true,57 "sentence_index": 258 },59 "results": {60 "present": true,61 "sentence_index": 162 },63 "magnitude": {64 "present": false,65 "sentence_index": -166 },67 "contribution": {68 "present": true,69 "sentence_index": 570 }71 },72 "introduction": {73 "moves": [74 {75 "paragraph_index": 0,76 "move": "motivation"77 },78 {79 "paragraph_index": 0,80 "move": "literature_gap"81 },82 {83 "paragraph_index": 0,84 "move": "preview_of_results"85 },86 {87 "paragraph_index": 1,88 "move": "preview_of_approach"89 },90 {91 "paragraph_index": 1,92 "move": "preview_of_results"93 },94 {95 "paragraph_index": 2,96 "move": "preview_of_approach"97 },98 {99 "paragraph_index": 2,100 "move": "preview_of_results"101 },102 {103 "paragraph_index": 3,104 "move": "identification_defense"105 },106 {107 "paragraph_index": 3,108 "move": "mechanism_or_theory_sketch"109 },110 {111 "paragraph_index": 4,112 "move": "identification_defense"113 },114 {115 "paragraph_index": 5,116 "move": "related_literature_positioning"117 },118 {119 "paragraph_index": 5,120 "move": "tension_or_puzzle"121 },122 {123 "paragraph_index": 6,124 "move": "roadmap"125 }126 ],127 "contribution_paragraph_index": 0,128 "contribution_types": [129 "new_evidence",130 "new_identification",131 "resolution_of_puzzle"132 ],133 "roadmap_present": true,134 "literature_positioning_location": "inside_introduction"135 },136 "section_roles": [137 {138 "idx": 0,139 "role": "introduction"140 },141 {142 "idx": 1,143 "role": "theory"144 },145 {146 "idx": 2,147 "role": "data"148 },149 {150 "idx": 3,151 "role": "results"152 },153 {154 "idx": 4,155 "role": "robustness"156 },157 {158 "idx": 5,159 "role": "conclusion"160 },161 {162 "idx": 6,163 "role": "appendix"164 }165 ],166 "results_presentation": {167 "economic_significance_discussed": true,168 "statistical_significance_language": "unclear",169 "magnitude_statements_in_intro": true170 },171 "robustness": {172 "location": "mixed",173 "types": [174 "placebo",175 "alternative_measure",176 "alternative_specification",177 "subsample",178 "other"179 ]180 },181 "tables": {182 "convention_notes": "Table notes describe the panels, the estimators (pooled OLS, Tobit, fixed effects, DiD/DDD, PSM, IV first/second stage), the fixed effects included, sample restrictions, and data level (BHC). Variable definitions with regulatory codes, winsorization, and treatment/control balance appear in appendix tables. Standard error details are cut off in the excerpts.",183 "units_stated_in_notes": true,184 "standard_errors_description": "unclear"185 },186 "figures": {187 "uncertainty_shown": "unclear"188 },189 "conclusion": {190 "bounded_claims": true,191 "policy_implications": true,192 "open_questions": false,193 "restates_contribution": true194 },195 "hedging": {196 "level": "moderate",197 "typical_devices": [198 "consistent with the theory",199 "suggests",200 "not likely due to",201 "unlikely to be driving"202 ]203 },204 "claim_evidence": [205 {206 "claim": "Institutions with higher net worth hedge more, both across institutions and within institutions over time, controlling for exposures.",207 "evidence_type": "table",208 "evidence_ref": "Table II"209 },210 {211 "claim": "Institutions hit by house-price-driven net worth shocks cut hedging by up to one-half relative to controls.",212 "evidence_type": "table",213 "evidence_ref": "Table III; Figure 2"214 },215 {216 "claim": "The hedging reduction is larger for institutions with high real estate exposure (triple differences).",217 "evidence_type": "table",218 "evidence_ref": "Table III"219 },220 {221 "claim": "Treatment lowers net worth but does not change risk exposures.",222 "evidence_type": "table",223 "evidence_ref": "Table IV"224 },225 {226 "claim": "Placebo treatment years show no comparable effects, and results hold with an elasticity-based treatment definition.",227 "evidence_type": "table",228 "evidence_ref": "Tables V, VI"229 },230 {231 "claim": "Trading rises with net worth, which argues against risk shifting as the explanation.",232 "evidence_type": "table",233 "evidence_ref": "Table IX"234 },235 {236 "claim": "IV estimates using house prices confirm that net worth affects hedging, supporting external validity.",237 "evidence_type": "table",238 "evidence_ref": "Table VII"239 }240 ],241 "structural_summary": "The paper opens with policy relevance and a knowledge gap, then previews a stylized fact and a novel DiD design. A short theory section derives the hedging–financing trade-off hypothesis. Data and measurement follow, then results that move from stylized facts to DiD, DDD, PSM, treatment effects on mechanisms, and placebos. A section on external validity and alternative hypotheses (IV, distress, risk shifting, regulatory capital) precedes a conclusion that restates the findings and draws macroprudential implications.",242 "writing_profile_keywords": [243 "theory-guided empirics",244 "stylized fact",245 "difference-in-differences",246 "triple differences",247 "enumerated alternative explanations",248 "bank holding companies",249 "policy relevance"250 ],251 "confidence": 0.8,252 "notes": "The article is marked as retracted. Section IV is labeled theory by the rule but functions as robustness/alternative hypotheses, so it is annotated as robustness. The significance reporting convention is not visible in the excerpts."253 },254 "deterministic_checks": {255 "roadmap_regex": true,256 "contribution_regex_in_intro": false,257 "magnitude_in_abstract": false,258 "abstract_n_sentences": 6,259 "intro_n_paragraphs": 7,260 "intro_n_words": 974,261 "causal_words_in_abstract": 0,262 "hedge_words_in_abstract": 1,263 "stars_mentioned": false,264 "clustered_se_mentioned": false,265 "internet_appendix_mentioned": true,266 "section_roles_rule": {267 "0": "introduction",268 "1": "other",269 "2": "data",270 "3": "results",271 "4": "theory",272 "5": "conclusion",273 "6": "appendix"274 }275 },276 "schema_valid": true,277 "code_version": "87c73cd-dirty"278}