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The delay is treated as exogenous, and an expected delay is predicted mainly from hour of day. Trading at the security-second and filing level is related to expected versus unexpected delay through panel regressions, tobit and multinomial logit models.",28 "key_assumptions": [29 "The length of the delay until public release is exogenous to filing content and firm characteristics.",30 "Informed traders can form expectations about the delay from observable factors such as time of day.",31 "Trades during the private window reflect trading by those with access to the leaked filings."32 ],33 "threats_addressed": [34 "Endogenous timing of disclosure, addressed by the accidental leak and the exogenous delay.",35 "Censoring of time to first trade, addressed with a two-sided tobit model.",36 "Expected and unexpected delay components separated."37 ],38 "causal_language_strength": 3,39 "uses_causal_claim": true40 },41 "abstract_moves": {42 "question": {43 "present": true,44 "sentence_index": 145 },46 "gap": {47 "present": true,48 "sentence_index": 149 },50 "method": {51 "present": true,52 "sentence_index": 153 },54 "results": {55 "present": true,56 "sentence_index": 257 },58 "magnitude": {59 "present": false,60 "sentence_index": -161 },62 "contribution": {63 "present": true,64 "sentence_index": 365 }66 },67 "introduction": {68 "moves": [69 {70 "paragraph_index": 0,71 "move": "motivation"72 },73 {74 "paragraph_index": 0,75 "move": "identification_defense"76 },77 {78 "paragraph_index": 1,79 "move": "mechanism_or_theory_sketch"80 },81 {82 "paragraph_index": 1,83 "move": "preview_of_approach"84 },85 {86 "paragraph_index": 2,87 "move": "preview_of_approach"88 },89 {90 "paragraph_index": 2,91 "move": "preview_of_results"92 },93 {94 "paragraph_index": 3,95 "move": "preview_of_results"96 },97 {98 "paragraph_index": 4,99 "move": "contribution_statement"100 },101 {102 "paragraph_index": 4,103 "move": "related_literature_positioning"104 },105 {106 "paragraph_index": 5,107 "move": "roadmap"108 }109 ],110 "contribution_paragraph_index": 4,111 "contribution_types": [112 "new_evidence",113 "new_theory_or_model",114 "new_identification"115 ],116 "roadmap_present": true,117 "literature_positioning_location": "inside_introduction"118 },119 "section_roles": [120 {121 "idx": 0,122 "role": "introduction"123 },124 {125 "idx": 1,126 "role": "data"127 },128 {129 "idx": 2,130 "role": "theory"131 },132 {133 "idx": 3,134 "role": "results"135 },136 {137 "idx": 4,138 "role": "conclusion"139 }140 ],141 "results_presentation": {142 "economic_significance_discussed": false,143 "statistical_significance_language": "unclear",144 "magnitude_statements_in_intro": false145 },146 "robustness": {147 "location": "none_seen",148 "types": []149 },150 "tables": {151 "convention_notes": "Table notes define the dependent variable, its unit (seconds, $1,000, basis points), the sample (Trimmed Sample defined in Figure 2), the unit of observation (security-second or filing) and the estimator (panel, tobit, multinomial logit). Standard errors are not visible in the excerpts.",152 "units_stated_in_notes": true,153 "standard_errors_description": "unclear"154 },155 "figures": {156 "uncertainty_shown": "unclear"157 },158 "conclusion": {159 "bounded_claims": true,160 "policy_implications": false,161 "open_questions": false,162 "restates_contribution": true163 },164 "hedging": {165 "level": "moderate",166 "typical_devices": [167 "'consistent with' the model's predictions or hypotheses",168 "'appears to' when describing the cause of the leak",169 "'quasi-natural experiment' framing"170 ]171 },172 "claim_evidence": [173 {174 "claim": "The delay until public release can be predicted mainly by the hour of the trading day.",175 "evidence_type": "table",176 "evidence_ref": "Table II; Figure 2"177 },178 {179 "claim": "A longer expected delay reduces informed trading intensity in both dollar value and number of trades.",180 "evidence_type": "table",181 "evidence_ref": "Table III"182 },183 {184 "claim": "A longer expected delay increases the time until the first trade after the leak.",185 "evidence_type": "table",186 "evidence_ref": "Table IV"187 },188 {189 "claim": "Limit orders are preferred over market orders when the expected delay is longer and market conditions are favorable.",190 "evidence_type": "table",191 "evidence_ref": "Table V"192 },193 {194 "claim": "Information disseminates faster in large-cap, high-turnover stocks and when market activity is high.",195 "evidence_type": "table",196 "evidence_ref": "Table VI"197 },198 {199 "claim": "Optimal insider strategy and price dynamics under a random, exponentially distributed stopping time.",200 "evidence_type": "equation_or_proof",201 "evidence_ref": "Section II"202 }203 ],204 "structural_summary": "The introduction opens with an institutional anecdote (an accidental leak of SEC filings) and frames it as a lab-like natural experiment. It then sketches a model adapted from Caldentey and Stacchetti, previews the empirical measures and Kyle-consistent findings, and positions the paper against the information-transmission and leakage literatures before giving a roadmap. The body proceeds from institutional background and data, to the model, to empirical tests. A short conclusion restates the findings as consistent with the hypotheses.",205 "writing_profile_keywords": [206 "natural experiment",207 "informed trading",208 "random stopping time",209 "Kyle model",210 "trade-level data",211 "model-guided empirics",212 "institutional anecdote"213 ],214 "confidence": 0.8,215 "notes": "Section I is labeled 'literature' by the rule, but its content is institutional background and data. 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