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Coefficient tests are framed as hypotheses on theory-implied parameter values. Out-of-sample R2 is defined explicitly in the notes.",192   "units_stated_in_notes": false,193   "standard_errors_description": "bootstrap"194  },195  "figures": {196   "uncertainty_shown": "unclear"197  },198  "conclusion": {199   "bounded_claims": false,200   "policy_implications": false,201   "open_questions": false,202   "restates_contribution": true203  },204  "hedging": {205   "level": "low",206   "typical_devices": [207    "'suggest' in abstract",208    "'in principle'",209    "quoted 'loses' acknowledging a competitor win"210   ]211  },212  "claim_evidence": [213   {214    "claim": "Expected stock return can be expressed via market risk-neutral variance and stock excess risk-neutral variance with no free parameters",215    "evidence_type": "equation_or_proof",216    "evidence_ref": "Section I"217   },218   {219    "claim": "Formula's panel forecasting coefficients are consistent with theory-implied values",220    "evidence_type": "table",221    "evidence_ref": "Tables II-V"222   },223   {224    "claim": "Formula beats out-of-sample competitors at horizons from 3 to 24 months",225    "evidence_type": "table",226    "evidence_ref": "Table IX"227   },228   {229    "claim": "Formula mostly beats competitors that use in-sample information on characteristics",230    "evidence_type": "table",231    "evidence_ref": "Table X"232   },233   {234    "claim": "Model implies more time-series and cross-sectional variation in expected returns than CAPM",235    "evidence_type": "figure",236    "evidence_ref": "Figures 1, 9"237   }238  ],239  "structural_summary": "The paper opens by stating a derived formula and its option-based inputs. It then lists distinctive features and contrasts them with the CAPM and factor models. The introduction previews in-sample and out-of-sample results, illustrates with firm examples, and positions the work against the idiosyncratic-volatility and option-forecasting literatures. The theory section is followed by variance measurement, tests of the theory-implied coefficients, a check against characteristics, out-of-sample R2 comparisons, and a conclusion restating the distinctive features. Appendices cover implied correlation and the block bootstrap.",240  "writing_profile_keywords": [241   "parameter-free theory",242   "option-implied variance",243   "cross-section of expected returns",244   "out-of-sample R2",245   "CAPM comparison",246   "confident tone"247  ],248  "confidence": 0.8,249  "notes": "The roadmap and the related-literature discussion are merged in the same introduction paragraph. Significance-test conventions are unclear from the excerpts. Robustness evidence is spread across subsample estimates (Figure 7), characteristic controls (Section IV), and the appendix and Internet Appendix."250 },251 "deterministic_checks": {252  "roadmap_regex": false,253  "contribution_regex_in_intro": false,254  "magnitude_in_abstract": false,255  "abstract_n_sentences": 4,256  "intro_n_paragraphs": 11,257  "intro_n_words": 1371,258  "causal_words_in_abstract": 0,259  "hedge_words_in_abstract": 1,260  "stars_mentioned": false,261  "clustered_se_mentioned": false,262  "internet_appendix_mentioned": true,263  "section_roles_rule": {264   "0": "introduction",265   "1": "theory",266   "2": "other",267   "3": "theory",268   "4": "other",269   "5": "data",270   "6": "conclusion",271   "7": "appendix",272   "8": "appendix"273  }274 },275 "schema_valid": true,276 "code_version": "87c73cd-dirty"277}
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