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1{"text": "{\"genre\":\"mixed_theory_empirical\",\"subfield\":\"corporate_finance\",\"subfield_secondary\":\"corporate cash holdings / governance\",\"primary_method\":\"instrumental_variables\",\"identification\":{\"estimand\":\"Effect of financial portfolio size on the share of the portfolio held in risky assets; marginal value of risky versus safe financial assets\",\"strategy\":\"Panel regressions run by OLS and by 2SLS. Portfolio size is instrumented with unexpected operating cash flow innovations. Value tests regress stock returns and market-to-book on financial asset holdings, following the Faulkender–Wang approach.\",\"key_assumptions\":[\"Unexpected cash flow innovations shift portfolio size but affect portfolio composition only through size\",\"Fair value footnote disclosures accurately capture asset classes\"],\"threats_addressed\":[\"Joint determination of portfolio size and composition (endogeneity)\"],\"causal_language_strength\":3,\"uses_causal_claim\":true},\"abstract_moves\":{\"question\":{\"present\":true,\"sentence_index\":2},\"gap\":{\"present\":false,\"sentence_index\":-1},\"method\":{\"present\":true,\"sentence_index\":2},\"results\":{\"present\":true,\"sentence_index\":3},\"magnitude\":{\"present\":true,\"sentence_index\":1},\"contribution\":{\"present\":true,\"sentence_index\":4}},\"introduction\":{\"moves\":[{\"paragraph_index\":0,\"move\":\"motivation\"},{\"paragraph_index\":0,\"move\":\"tension_or_puzzle\"},{\"paragraph_index\":0,\"move\":\"preview_of_approach\"},{\"paragraph_index\":1,\"move\":\"preview_of_approach\"},{\"paragraph_index\":1,\"move\":\"mechanism_or_theory_sketch\"},{\"paragraph_index\":2,\"move\":\"mechanism_or_theory_sketch\"},{\"paragraph_index\":3,\"move\":\"preview_of_results\"},{\"paragraph_index\":4,\"move\":\"identification_defense\"},{\"paragraph_index\":4,\"move\":\"preview_of_results\"},{\"paragraph_index\":5,\"move\":\"preview_of_results\"},{\"paragraph_index\":5,\"move\":\"robustness_mention\"},{\"paragraph_index\":6,\"move\":\"contribution_statement\"},{\"paragraph_index\":6,\"move\":\"related_literature_positioning\"},{\"paragraph_index\":7,\"move\":\"policy_or_broader_implication\"}],\"contribution_paragraph_index\":6,\"contribution_types\":[\"new_evidence\",\"new_data_or_measure\",\"new_theory_or_model\"],\"roadmap_present\":false,\"literature_positioning_location\":\"both\"},\"section_roles\":[{\"idx\":0,\"role\":\"introduction\"},{\"idx\":1,\"role\":\"data\"},{\"idx\":2,\"role\":\"results\"},{\"idx\":3,\"role\":\"theory\"},{\"idx\":4,\"role\":\"results\"},{\"idx\":5,\"role\":\"results\"},{\"idx\":6,\"role\":\"conclusion\"},{\"idx\":7,\"role\":\"appendix\"},{\"idx\":8,\"role\":\"appendix\"},{\"idx\":9,\"role\":\"appendix\"},{\"idx\":10,\"role\":\"appendix\"}],\"results_presentation\":{\"economic_significance_discussed\":true,\"statistical_significance_language\":\"unclear\",\"magnitude_statements_in_intro\":true},\"robustness\":{\"location\":\"within_results\",\"types\":[\"alternative_measure\",\"alternative_specification\"]},\"tables\":{\"convention_notes\":\"Table notes define variables and write out the regression equations, including the 2SLS first stage. 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It introduces hand-collected fair value data made available by SFAS 157, then describes portfolio composition. A theory section sketches a precautionary-savings model extended to risky and illiquid assets, with the formal derivation in an internet appendix. Empirical tests follow: univariate sorts, then OLS/2SLS determinants (taxes, agency, CEO traits), then valuation and financing-source tests. The conclusion frames the findings as a largely unregulated shadow asset management industry.\",\"writing_profile_keywords\":[\"hand-collected data\",\"model-consistent predictions\",\"precautionary savings\",\"2SLS\",\"shadow hedge fund framing\",\"policy implications\",\"anecdotal motivation\"],\"confidence\":0.8,\"notes\":\"Theory is summarized in the main text and formally derived in an internet appendix. Standard error treatment is not visible in the excerpts. 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