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1{2 "validation_errors": [],3 "doc_id": "jof_12617",4 "ontology_version": "1.0",5 "prompt_version": "1.0",6 "model": "claude-opus-5-5",7 "effort": "medium",8 "annotated_at": "2026-11-03T23:02:03+00:00",9 "source_sha256": "1d23cf336104e5b9bb63fa702a90feb0cf6c6d4ce512d6382127d12384a873b9",10 "parser": "pymupdf-jof-heuristics-1.3",11 "payload_chars": 24369,12 "usage": {13  "input": 8479,14  "output": 2508,15  "cache_read": 3968,16  "cache_write": 017 },18 "cost_usd": 0.08487,19 "request_id": "req_011CggpwSa757mg6NkeWrKJB",20 "annotation": {21  "genre": "mixed_theory_empirical",22  "subfield": "asset_pricing",23  "subfield_secondary": "corporate_finance (real investment / real options)",24  "primary_method": "reduced_form_regression",25  "identification": {26   "estimand": "Cross-sectional relation between stock-level capacity overhang (installed minus optimal capacity) and expected stock returns, net of standard pricing factors and characteristics",27   "strategy": "Recursive stochastic frontier estimation of capacity overhang, followed by value-weighted portfolio sorts with factor-model alphas and Fama-MacBeth regressions with characteristic controls",28   "key_assumptions": [29    "Capacity overhang is non-negative (one-sided distributional assumption)",30    "Optimal capacity determinants and overhang determinants are correctly separated",31    "Excluded adjustment costs (fixed, convex) do not invalidate the overhang estimate",32    "Real-time recursive estimation avoids look-ahead bias"33   ],34   "threats_addressed": [35    "Look-ahead bias, addressed by recursive estimation",36    "Results driven by micro stocks, addressed with size-subsample sorts",37    "Omitted pricing factors, addressed with CAPM, Q-theory and FF5 alphas",38    "Measurement validity, addressed by validation against investment behavior and survey capacity utilization",39    "Fixed and convex adjustment costs, discussed as a caveat"40   ],41   "causal_language_strength": 2,42   "uses_causal_claim": false43  },44  "abstract_moves": {45   "question": {46    "present": false,47    "sentence_index": -148   },49   "gap": {50    "present": false,51    "sentence_index": -152   },53   "method": {54    "present": true,55    "sentence_index": 056   },57   "results": {58    "present": true,59    "sentence_index": 160   },61   "magnitude": {62    "present": false,63    "sentence_index": -164   },65   "contribution": {66    "present": true,67    "sentence_index": 468   }69  },70  "introduction": {71   "moves": [72    {73     "paragraph_index": 0,74     "move": "motivation"75    },76    {77     "paragraph_index": 0,78     "move": "tension_or_puzzle"79    },80    {81     "paragraph_index": 0,82     "move": "literature_gap"83    },84    {85     "paragraph_index": 1,86     "move": "mechanism_or_theory_sketch"87    },88    {89     "paragraph_index": 2,90     "move": "preview_of_approach"91    },92    {93     "paragraph_index": 3,94     "move": "preview_of_results"95    },96    {97     "paragraph_index": 3,98     "move": "robustness_mention"99    },100    {101     "paragraph_index": 4,102     "move": "identification_defense"103    },104    {105     "paragraph_index": 5,106     "move": "contribution_statement"107    },108    {109     "paragraph_index": 5,110     "move": "related_literature_positioning"111    },112    {113     "paragraph_index": 6,114     "move": "related_literature_positioning"115    },116    {117     "paragraph_index": 6,118     "move": "contribution_statement"119    }120   ],121   "contribution_paragraph_index": 5,122   "contribution_types": [123    "new_evidence",124    "new_data_or_measure",125    "new_theory_or_model",126    "resolution_of_puzzle"127   ],128   "roadmap_present": false,129   "literature_positioning_location": "inside_introduction"130  },131  "section_roles": [132   {133    "idx": 0,134    "role": "introduction"135   },136   {137    "idx": 1,138    "role": "theory"139   },140   {141    "idx": 2,142    "role": "results"143   },144   {145    "idx": 3,146    "role": "conclusion"147   },148   {149    "idx": 4,150    "role": "appendix"151   },152   {153    "idx": 5,154    "role": "appendix"155   },156   {157    "idx": 6,158    "role": "appendix"159   }160  ],161  "results_presentation": {162   "economic_significance_discussed": true,163   "statistical_significance_language": "stars_and_tstats",164   "magnitude_statements_in_intro": true165  },166  "robustness": {167   "location": "mixed",168   "types": [169    "subsample",170    "alternative_measure",171    "alternative_specification"172   ]173  },174  "tables": {175   "convention_notes": "Table notes open with what the table presents and define the capacity proxy used (PPE plus intangibles, PPE, or total assets) and the optimal-capacity determinants. They point readers to the appendix variable-definition tables. Return timing (month t on t-1 characteristics) is stated explicitly. Panels separate specifications.",176   "units_stated_in_notes": false,177   "standard_errors_description": "unclear"178  },179  "figures": {180   "uncertainty_shown": "unclear"181  },182  "conclusion": {183   "bounded_claims": true,184   "policy_implications": false,185   "open_questions": false,186   "restates_contribution": true187  },188  "hedging": {189   "level": "moderate",190   "typical_devices": [191    "'suggests' / 'our evidence supports'",192    "'potentially explaining'",193    "explicit caveat paragraph on excluded adjustment costs",194    "'we try to close this gap'",195    "'unlikely to greatly distort'"196   ]197  },198  "claim_evidence": [199   {200    "claim": "An extended Pindyck-type real options model can yield positive, negative, or U-shaped expected return–capacity overhang relations.",201    "evidence_type": "equation_or_proof",202    "evidence_ref": "Section I; Figures 1-3; Appendix B Proposition 1"203   },204   {205    "claim": "The capacity overhang estimate tracks firm investment behavior and industry capacity utilization from surveys.",206    "evidence_type": "figure",207    "evidence_ref": "Figures 5-6; Section II.A.4"208   },209   {210    "claim": "Value-weighted high-minus-low capacity overhang portfolios earn about -12.5% per year, with t around -4.2.",211    "evidence_type": "table",212    "evidence_ref": "Table II"213   },214   {215    "claim": "The negative relation survives CAPM, Q-theory and five-factor adjustment, loading negatively on profitability factors.",216    "evidence_type": "table",217    "evidence_ref": "Table II; Figure 7"218   },219   {220    "claim": "The negative relation persists across size, reversibility and economic-state subsamples.",221    "evidence_type": "table",222    "evidence_ref": "Tables III-V"223   },224   {225    "claim": "Fama-MacBeth regressions yield significant negative capacity overhang premia, with t-statistics below -3.",226    "evidence_type": "table",227    "evidence_ref": "Table VI"228   },229   {230    "claim": "Capacity overhang helps explain momentum and profitability anomalies but not value and investment anomalies.",231    "evidence_type": "table",232    "evidence_ref": "Tables VII-IX"233   },234   {235    "claim": "Convex adjustment costs are negligible relative to other adjustment costs.",236    "evidence_type": "prior_literature",237    "evidence_ref": "Cooper and Haltiwanger (2006); Bloom (2009)"238   }239  ],240  "structural_summary": "The introduction opens with conflicting theoretical predictions about how capacity overhang relates to expected returns and notes that empirical work is scarce. It then sketches the model mechanism, previews a novel stochastic-frontier measure and the main return results with magnitudes, and defends the measure against excluded adjustment costs. Literature positioning and contributions, both empirical and theoretical, close the introduction. A theory section extends a real options model to generate testable shapes, with proofs in appendices. One long empirical section follows: measure construction and validation, then pricing tests (univariate and double sorts, state timing, Fama-MacBeth), then horse races against anomalies. A short conclusion restates the findings as support for divestment-option models.",241  "writing_profile_keywords": [242   "real options",243   "capacity overhang",244   "stochastic frontier",245   "portfolio sorts",246   "Fama-MacBeth",247   "anomaly horse races",248   "theory-guided measurement",249   "competing predictions"250  ],251  "confidence": 0.82,252  "notes": "Standard error treatment is not visible in the excerpts. Robustness tests appear within the results subsections, and an Internet Appendix is referenced, so location is coded as mixed. The empirical section mixes measurement design and results; it is coded as results."253 },254 "deterministic_checks": {255  "roadmap_regex": false,256  "contribution_regex_in_intro": true,257  "magnitude_in_abstract": false,258  "abstract_n_sentences": 5,259  "intro_n_paragraphs": 7,260  "intro_n_words": 1325,261  "causal_words_in_abstract": 0,262  "hedge_words_in_abstract": 0,263  "stars_mentioned": false,264  "clustered_se_mentioned": false,265  "internet_appendix_mentioned": true,266  "section_roles_rule": {267   "0": "introduction",268   "1": "theory",269   "2": "other",270   "3": "conclusion",271   "4": "appendix",272   "5": "appendix",273   "6": "appendix"274  }275 },276 "schema_valid": true,277 "code_version": "feb6c9e-dirty"278}
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