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  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0000-0003-0757-275X"
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   "@id": "https://wulfkaal.github.io/claims/2150377-019",
   "identifier": "kaal:claim:2150377-019",
   "text": "Comparison of the responding sample against the full registered population on Form ADV parameters shows the sample is not biased toward any particular subgroup of hedge fund advisers, and gives no indication that respondents differ from nonrespondents.",
   "abstract": "The descriptive statistics demonstrate that the sample is not biased and does not favor a particular subgroup of hedge fund advisers.189 There is no indication that respondents who did respond to the survey were different from individuals who did not respond.",
   "citation": "Wulf A. Kaal, Hedge Fund Manager Registration Under the Dodd-Frank Act (2012). SSRN: https://ssrn.com/abstract=2150377",
   "datePublished": "2012",
   "claim_type": "empirical",
   "confidence": "evidenced",
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   "scope_conditions": [
    "parameters reported on Form ADV such as organizational form, client numbers, adviser type, region, AUM, and advisory services"
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   "@id": "https://wulfkaal.github.io/claims/2389416-013",
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   "text": "Only about a fifth of the sample funds exceed the $150 million AUM registration threshold: roughly 79 percent of the 2,145 funds are below it, 17 percent are consistently above it, and 4 percent float across it.",
   "abstract": "About 79% of the entire sample of 2145 hedge funds consists of funds with AUM smaller than $150 million. Only 17% represents the \"Large\" subsample and 4% the \"Strategic\" subsample.",
   "citation": "Wulf A. Kaal, Barbara Luppi, Sandra Paterlini, Did the Dodd-Frank Act Impact Hedge Fund Performance (2014). SSRN: https://ssrn.com/abstract=2389416",
   "datePublished": "2014",
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   "text": "The near identity between respondents who reported completing Sections 2 through 5 of Form PF and respondents who reported quarterly filing shows the answers are internally consistent, which the author treats as evidence that the survey responses carry above average reliability.",
   "abstract": "The comparison of Questions 2 and 3 thus illustrates that the responses to both questions are internally consistent. The internal consistency of these responses suggests that the survey responses have an above average reliability.",
   "citation": "Wulf A. Kaal, Private Fund Disclosures Under the Dodd-Frank Act (2014). SSRN: https://ssrn.com/abstract=2447306",
   "datePublished": "2014",
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   "@id": "https://wulfkaal.github.io/claims/2816408-025",
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   "text": "About 73% of the sample of 3,424 hedge funds consists of funds with AUM larger than $150 million, and only 26% falls into the smaller subsample.",
   "abstract": "About 73% of the entire sample of 3,424 hedge funds consists of funds with AUM larger than $150 million. Only 26% represents the smaller subsample.",
   "citation": "Wulf A. Kaal, Barbara Luppi, Sandra Paterlini, Did the Dodd-Frank Act Impact Private Fund Performance  – Evidence from 2010 – 2015 (2016). SSRN: https://ssrn.com/abstract=2816408",
   "datePublished": "2016",
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   "text": "Smaller funds outperform larger funds in eight of twelve months in 2012, but performance varies strongly across the subsamples with no clearly dominant group on average.",
   "abstract": "Figure 1 shows that smaller funds outperform larger funds in the sample in eight of twelve months in 2012. There is a strong variability in the performance of the subsamples, with on average no clear dominant group.",
   "citation": "Wulf A. Kaal, Barbara Luppi, Sandra Paterlini, Did the Dodd-Frank Act Impact Private Fund Performance  – Evidence from 2010 – 2015 (2016). SSRN: https://ssrn.com/abstract=2816408",
   "datePublished": "2016",
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   "text": "Across the sampled DAOs, no single industry consistently outperforms the others on total score, indicating a diverse rather than sector determined performance landscape.",
   "abstract": "The data indicates that no single industry consistently outperforms others, suggesting a diverse performance landscape for DAOs across different sectors.",
   "citation": "Wulf A. Kaal, DAO Market Meta Analysis 2024 (2024). SSRN: https://ssrn.com/abstract=5254152",
   "datePublished": "2024",
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   "text": "The average decentralization score across the sampled DAOs is 4.25, with a maximum of 9 and a minimum of 1, showing wide variability in how decentralized these organizations actually are.",
   "abstract": "The average decentralization score across all DAOs is 4.25, with the highest score being 9 and the lowest being 1.",
   "citation": "Wulf A. Kaal, DAO Market Meta Analysis 2024 (2024). SSRN: https://ssrn.com/abstract=5254152",
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   "text": "The average attack resistance score across the sampled DAOs is 3.65 on a scale of 0 to 10, the lowest of the measured attributes alongside regulatory compliance.",
   "abstract": "This graph shows the attack resistance scores of various DAOs, with scores ranging from 0 to 10. The average score is 3.65",
   "citation": "Wulf A. Kaal, DAO Market Meta Analysis 2024 (2024). SSRN: https://ssrn.com/abstract=5254152",
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   "text": "The average regulatory compliance score across the sampled DAOs is 3.22, ranging from 1 to 9, and the distribution shows that many DAOs struggle with regulatory compliance while only a few achieve higher scores.",
   "abstract": "The average score is 3.22, with the highest score being 9 and the lowest score being 1. The distribution of scores suggests that many DAOs struggle with regulatory compliance, with only a few achieving higher scores.",
   "citation": "Wulf A. Kaal, DAO Market Meta Analysis 2024 (2024). SSRN: https://ssrn.com/abstract=5254152",
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   "text": "The average Work to Earn score across the sampled DAOs is 4.1, ranging from 1 to 9, indicating only moderate effectiveness of contributor reward mechanisms across the market.",
   "abstract": "The average score across all DAOs is 4.1, with the highest score being 9 and the lowest score being 1.",
   "citation": "Wulf A. Kaal, DAO Market Meta Analysis 2024 (2024). SSRN: https://ssrn.com/abstract=5254152",
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   "text": "The average organizational communication score across the sampled DAOs is 4.32, with a maximum of 10 and a minimum of 1, indicating only moderate communication effectiveness overall.",
   "abstract": "The average score is 4.32, indicating a moderate level of effectiveness in communication across these organizations. The highest score is 10, showing that some DAOs excel in this area, while the lowest score is 1",
   "citation": "Wulf A. Kaal, DAO Market Meta Analysis 2024 (2024). SSRN: https://ssrn.com/abstract=5254152",
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 "description": "11 claims in the published works of Wulf A. Kaal carry the concept tag 'descriptive-statistics'. Derived node: a roster, not an adjudicated definition."
}