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1{2 "validation_errors": [],3 "doc_id": "jof_12609",4 "ontology_version": "1.0",5 "prompt_version": "1.0",6 "model": "claude-opus-5-5",7 "effort": "medium",8 "annotated_at": "2026-11-03T23:01:58+00:00",9 "source_sha256": "d587694fb51b463ba5482a1a6bdc8fb45f3cc54e941a5e5842f8922875119e12",10 "parser": "pymupdf-jof-heuristics-1.3",11 "payload_chars": 19988,12 "usage": {13  "input": 6420,14  "output": 2070,15  "cache_read": 3968,16  "cache_write": 017 },18 "cost_usd": 0.067874,19 "request_id": "req_011CggpwKxzWwis9vkDqr1f2",20 "annotation": {21  "genre": "empirical",22  "subfield": "financial_intermediation_banking",23  "subfield_secondary": "household_finance",24  "primary_method": "reduced_form_regression",25  "identification": {26   "estimand": "Effect of a bank's proprietary sales of a stock on its retail customers' purchases of that stock, and the resulting performance consequences for those customers",27   "strategy": "Bank-stock-quarter panel regressions relating changes in customer holdings to changes in bank holdings. Causal interpretation is strengthened by forced sales at banks under 2008 SoFFin rescue conditions. Performance is compared through trading profit regressions and portfolio return tests across banks with and without proprietary trading desks.",28   "key_assumptions": [29    "Sales forced by SoFFin state-aid conditions are exogenous to stock-specific information",30    "Correlated bank and customer flows are not driven by market-making or by retail herding",31    "Customers of banks with and without trading desks are otherwise comparable (education compared)"32   ],33   "threats_addressed": [34    "market-making inventory",35    "retail herding / aggregate retail demand",36    "endogeneity of bank sales",37    "financial stocks",38    "customer composition differences"39   ],40   "causal_language_strength": 3,41   "uses_causal_claim": true42  },43  "abstract_moves": {44   "question": {45    "present": true,46    "sentence_index": 247   },48   "gap": {49    "present": false,50    "sentence_index": -151   },52   "method": {53    "present": true,54    "sentence_index": 155   },56   "results": {57    "present": true,58    "sentence_index": 359   },60   "magnitude": {61    "present": false,62    "sentence_index": -163   },64   "contribution": {65    "present": true,66    "sentence_index": 367   }68  },69  "introduction": {70   "moves": [71    {72     "paragraph_index": 0,73     "move": "motivation"74    },75    {76     "paragraph_index": 1,77     "move": "identification_defense"78    },79    {80     "paragraph_index": 1,81     "move": "preview_of_results"82    },83    {84     "paragraph_index": 1,85     "move": "mechanism_or_theory_sketch"86    },87    {88     "paragraph_index": 2,89     "move": "preview_of_results"90    },91    {92     "paragraph_index": 2,93     "move": "preview_of_approach"94    },95    {96     "paragraph_index": 3,97     "move": "policy_or_broader_implication"98    },99    {100     "paragraph_index": 3,101     "move": "related_literature_positioning"102    },103    {104     "paragraph_index": 3,105     "move": "contribution_statement"106    },107    {108     "paragraph_index": 4,109     "move": "related_literature_positioning"110    },111    {112     "paragraph_index": 4,113     "move": "contribution_statement"114    },115    {116     "paragraph_index": 5,117     "move": "roadmap"118    }119   ],120   "contribution_paragraph_index": 3,121   "contribution_types": [122    "new_evidence",123    "new_data_or_measure"124   ],125   "roadmap_present": true,126   "literature_positioning_location": "inside_introduction"127  },128  "section_roles": [129   {130    "idx": 0,131    "role": "introduction"132   },133   {134    "idx": 1,135    "role": "data"136   },137   {138    "idx": 2,139    "role": "results"140   },141   {142    "idx": 3,143    "role": "results"144   },145   {146    "idx": 4,147    "role": "conclusion"148   }149  ],150  "results_presentation": {151   "economic_significance_discussed": true,152   "statistical_significance_language": "unclear",153   "magnitude_statements_in_intro": false154  },155  "robustness": {156   "location": "within_results",157   "types": [158    "alternative_measure",159    "subsample",160    "alternative_specification",161    "other"162   ]163  },164  "tables": {165   "convention_notes": "Table notes describe each column's specification. Descriptive tables report counts, means, SDs and percentiles. Performance tables use t-tests with unequal variances and Wilcoxon tests. A variable-definitions table is placed last.",166   "units_stated_in_notes": true,167   "standard_errors_description": "unclear"168  },169  "figures": {170   "uncertainty_shown": "no_figures"171  },172  "conclusion": {173   "bounded_claims": true,174   "policy_implications": false,175   "open_questions": false,176   "restates_contribution": true177  },178  "hedging": {179   "level": "moderate",180   "typical_devices": [181    "'suggest' / 'evidence suggesting'",182    "'potential conflict of interest'",183    "'can be detrimental'",184    "admission that flows are not directly observed",185    "'reasonably exogenous'"186   ]187  },188  "claim_evidence": [189   {190    "claim": "Banks' proprietary stock sales coincide with purchases of the same stocks by their retail customers",191    "evidence_type": "table",192    "evidence_ref": "Tables III, V"193   },194   {195    "claim": "Forced sales under the 2008 state rescue conditions yield similar estimates, supporting a causal link",196    "evidence_type": "table",197    "evidence_ref": "Table VI"198   },199   {200    "claim": "The effect is stronger for illiquid stocks, in illiquid periods and for large positions, consistent with a price-impact motive",201    "evidence_type": "table",202    "evidence_ref": "Table IX"203   },204   {205    "claim": "Customers incur trading losses on stocks their bank sells, and these losses rise with the bank's profit on the same stock",206    "evidence_type": "table",207    "evidence_ref": "Table X"208   },209   {210    "claim": "Stocks banks sell to customers underperform other stocks in bank and customer portfolios",211    "evidence_type": "table",212    "evidence_ref": "Table XI"213   },214   {215    "claim": "Customers of banks with proprietary trading desks underperform customers of banks without such desks",216    "evidence_type": "table",217    "evidence_ref": "Table XII"218   }219  ],220  "structural_summary": "The introduction motivates the question with households' reliance on bank advice and banks' informational advantages. It then previews identification through forced sales under rescue conditions and previews the price-impact motive and performance results. It closes by linking the findings to bank-separation regulation and to the literatures on conflicts of interest and financial advice, followed by a roadmap. The body has a data section and two large results sections: stock flows (baseline, causality, robustness, channels, motives) and customer performance. A single-paragraph conclusion restates the findings.",221  "writing_profile_keywords": [222   "conflict of interest",223   "universal banks",224   "proprietary trading",225   "retail investors",226   "German regulatory data",227   "forced sales shock",228   "policy relevance",229   "question-driven abstract"230  ],231  "confidence": 0.82,232  "notes": "The abstract poses three numbered questions and answers all of them affirmatively. The conclusion excerpt is truncated, so whether it discusses policy implications there cannot be determined. Regulatory implications do appear in the introduction. The form of significance reporting in the regression tables is not visible in the excerpts."233 },234 "deterministic_checks": {235  "roadmap_regex": true,236  "contribution_regex_in_intro": true,237  "magnitude_in_abstract": false,238  "abstract_n_sentences": 4,239  "intro_n_paragraphs": 6,240  "intro_n_words": 1024,241  "causal_words_in_abstract": 0,242  "hedge_words_in_abstract": 0,243  "stars_mentioned": false,244  "clustered_se_mentioned": false,245  "internet_appendix_mentioned": false,246  "section_roles_rule": {247   "0": "introduction",248   "1": "data",249   "2": "other",250   "3": "other",251   "4": "conclusion"252  }253 },254 "schema_valid": true,255 "code_version": "feb6c9e-dirty"256}
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