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1{2 "validation_errors": [],3 "doc_id": "jof_12765",4 "ontology_version": "1.0",5 "prompt_version": "1.0",6 "model": "claude-opus-5-5",7 "effort": "medium",8 "annotated_at": "2026-11-03T23:08:17+00:00",9 "source_sha256": "7bf1a8e2550a0c6bf66185f46f6a462ac2bc722c2cdfd1d8ee9af3dfbd9766bb",10 "parser": "pymupdf-jof-heuristics-1.3",11 "payload_chars": 21279,12 "usage": {13  "input": 7423,14  "output": 2087,15  "cache_read": 3968,16  "cache_write": 017 },18 "cost_usd": 0.072226,19 "request_id": "req_011CggqRLX1KiMN2ygSHLMHR",20 "annotation": {21  "genre": "mixed_theory_empirical",22  "subfield": "asset_pricing",23  "subfield_secondary": "corporate_finance (structural credit risk)",24  "primary_method": "structural_estimation",25  "identification": {26   "estimand": "Firm-level asset variance risk premium and jump risk premia, plus their contribution to credit spreads",27   "strategy": "Firm-by-firm simulated maximum likelihood estimation of a structural SVJ credit model on CDS term structures and option-implied equity volatility, where two observables are assumed accurately priced and the rest observed with error; nested-model likelihood ratio tests; calibration to representative Baa and Aa firms",28   "key_assumptions": [29    "Structural first-passage model with exogenous default boundary in the baseline",30    "Variance risk premium is affine (proportional) in asset variance",31    "Two observables are measured without error and the others with error",32    "Heston-type asset variance dynamics"33   ],34   "threats_addressed": [35    "Model misspecification via an extended affine risk premium alternative",36    "Short-maturity fit, addressed by adding jumps",37    "Endogenous default and optimal leverage, examined as extensions"38   ],39   "causal_language_strength": 2,40   "uses_causal_claim": false41  },42  "abstract_moves": {43   "question": {44    "present": true,45    "sentence_index": 046   },47   "gap": {48    "present": true,49    "sentence_index": 050   },51   "method": {52    "present": true,53    "sentence_index": 154   },55   "results": {56    "present": true,57    "sentence_index": 258   },59   "magnitude": {60    "present": false,61    "sentence_index": -162   },63   "contribution": {64    "present": true,65    "sentence_index": 366   }67  },68  "introduction": {69   "moves": [70    {71     "paragraph_index": 0,72     "move": "tension_or_puzzle"73    },74    {75     "paragraph_index": 1,76     "move": "literature_gap"77    },78    {79     "paragraph_index": 1,80     "move": "contribution_statement"81    },82    {83     "paragraph_index": 2,84     "move": "preview_of_approach"85    },86    {87     "paragraph_index": 3,88     "move": "preview_of_results"89    },90    {91     "paragraph_index": 3,92     "move": "contribution_statement"93    },94    {95     "paragraph_index": 4,96     "move": "preview_of_results"97    },98    {99     "paragraph_index": 5,100     "move": "related_literature_positioning"101    },102    {103     "paragraph_index": 6,104     "move": "mechanism_or_theory_sketch"105    },106    {107     "paragraph_index": 6,108     "move": "roadmap"109    }110   ],111   "contribution_paragraph_index": 1,112   "contribution_types": [113    "new_theory_or_model",114    "new_evidence",115    "resolution_of_puzzle"116   ],117   "roadmap_present": true,118   "literature_positioning_location": "inside_introduction"119  },120  "section_roles": [121   {122    "idx": 0,123    "role": "introduction"124   },125   {126    "idx": 1,127    "role": "theory"128   },129   {130    "idx": 2,131    "role": "theory"132   },133   {134    "idx": 3,135    "role": "robustness"136   },137   {138    "idx": 4,139    "role": "theory"140   },141   {142    "idx": 5,143    "role": "results"144   },145   {146    "idx": 6,147    "role": "robustness"148   },149   {150    "idx": 7,151    "role": "conclusion"152   }153  ],154  "results_presentation": {155   "economic_significance_discussed": true,156   "statistical_significance_language": "unclear",157   "magnitude_statements_in_intro": true158  },159  "robustness": {160   "location": "mixed",161   "types": [162    "alternative_specification",163    "sensitivity_to_parameters",164    "other"165   ]166  },167  "tables": {168   "convention_notes": "Calibration tables state the calibration targets (Sharpe ratio, default probability, recovery, rates) in their notes and compare risk-premium compositions. Estimation tables report cross-sectional quantiles of parameter estimates and RMSE pricing errors in basis points.",169   "units_stated_in_notes": true,170   "standard_errors_description": "unclear"171  },172  "figures": {173   "uncertainty_shown": "unclear"174  },175  "conclusion": {176   "bounded_claims": true,177   "policy_implications": false,178   "open_questions": false,179   "restates_contribution": true180  },181  "hedging": {182   "level": "moderate",183   "typical_devices": [184    "suggestive of",185    "possible link",186    "economically reasonable",187    "to the best of our knowledge"188   ]189  },190  "claim_evidence": [191   {192    "claim": "A reasonable asset variance risk premium lets the calibrated model match medium- and long-maturity spreads for Baa and Aa firms",193    "evidence_type": "table",194    "evidence_ref": "Tables I-II"195   },196   {197    "claim": "Jump risk premia help fit short-term spreads while the variance risk premium stays economically important",198    "evidence_type": "table",199    "evidence_ref": "Table V"200   },201   {202    "claim": "Firm-level asset variance risk premia are negative and significant for most firms; mean implied equity variance risk premium is about -16.7%",203    "evidence_type": "table",204    "evidence_ref": "Tables VII, IX"205   },206   {207    "claim": "The SVJ model dominates the nested SV and constant-volatility models in pricing performance",208    "evidence_type": "figure",209    "evidence_ref": "Figure 3; Table VIII"210   },211   {212    "claim": "The variance risk premium accounts for about 35% of five-year CDS spreads on average",213    "evidence_type": "figure",214    "evidence_ref": "Figure 4"215   },216   {217    "claim": "Debt Sharpe ratios exceed equity Sharpe ratios for levered firms, linking the credit spread and distress puzzles",218    "evidence_type": "figure",219    "evidence_ref": "Figure 2"220   }221  ],222  "structural_summary": "The paper opens by framing the credit spread puzzle and building on the insight that risk premia matter more than default probabilities. It then extends the Leland model with priced stochastic asset volatility and derives semi-closed-form solutions. Calibrations to representative Baa and Aa firms show the puzzle is resolved at medium and long maturities. An alternative risk-premium specification serves as a check, and jumps are added to fit short maturities. The SVJ model is estimated firm by firm with simulated maximum likelihood on CDS and option data, and spreads are decomposed into loss and premium components. Extensions to endogenous default and optimal leverage follow, and the conclusion recaps the findings.",223  "writing_profile_keywords": [224   "structural credit model",225   "puzzle resolution",226   "calibration then estimation",227   "nested model comparison",228   "variance risk premium",229   "firm-level estimation"230  ],231  "confidence": 0.8,232  "notes": "How statistical significance is reported is not visible in the excerpts. The estimation section includes data and methodology subsections; it is labeled as results."233 },234 "deterministic_checks": {235  "roadmap_regex": true,236  "contribution_regex_in_intro": true,237  "magnitude_in_abstract": false,238  "abstract_n_sentences": 6,239  "intro_n_paragraphs": 7,240  "intro_n_words": 1034,241  "causal_words_in_abstract": 0,242  "hedge_words_in_abstract": 0,243  "stars_mentioned": false,244  "clustered_se_mentioned": false,245  "internet_appendix_mentioned": true,246  "section_roles_rule": {247   "0": "introduction",248   "1": "theory",249   "2": "theory",250   "3": "robustness",251   "4": "theory",252   "5": "theory",253   "6": "robustness",254   "7": "conclusion"255  }256 },257 "schema_valid": true,258 "code_version": "87c73cd-dirty"259}
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