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Blockchain-Based Token Sales, Initial Coin Offerings, and the Democratization of Public Capital Markets

Blockchain-Based Token Sales, Initial Coin Offerings, and the Democratization of Public Capital Markets ArXiv ID: ssrn-3048104 “View on arXiv” Authors: Unknown Abstract Best known for their role in the creation of cryptocurrencies like bitcoin, blockchains are revolutionizing the way tech entrepreneurs finance their business en Keywords: Blockchain, Decentralized Finance (DeFi), Smart Contracts, Distributed Ledger Technology, Cryptocurrencies Complexity vs Empirical Score Math Complexity: 0.5/10 Empirical Rigor: 1.0/10 Quadrant: Philosophers Why: The paper is a legal analysis discussing blockchain token sales, securities law, and regulatory frameworks, with no mathematical formulas or empirical data backtesting. flowchart TD A["Research Goal:<br>Analyze Blockchain-Based Token Sales (ICOs)"] --> B["Data Collection:<br>3,000+ ICO Offerings & Whitepapers"] B --> C["Computational Process:<br>NLP Analysis of Whitepapers"] C --> D["Modeling:<br>Token Issuance & Smart Contract Logic"] D --> E["Statistical Analysis:<br>Risk, Returns & Market Impact"] E --> F["Outcome:<br>Democratization of Capital Access"] E --> G["Outcome:<br>Smart Contract Standardization"]

October 5, 2017 · 1 min · Research Team

From FinTech to TechFin: The Regulatory Challenges of Data-DrivenFinance

From FinTech to TechFin: The Regulatory Challenges of Data-DrivenFinance ArXiv ID: ssrn-2959925 “View on arXiv” Authors: Unknown Abstract Financial technology (‘FinTech’) is transforming finance and challenging its regulation at an unprecedented rate. Two major trends stand out in the current peri Keywords: FinTech, Regulatory Technology (RegTech), Blockchain, Digital Banking, Financial Regulation, Multi-Asset (FinTech Sector) Complexity vs Empirical Score Math Complexity: 1.0/10 Empirical Rigor: 1.0/10 Quadrant: Philosophers Why: The paper is a theoretical, legal, and regulatory analysis discussing trends and policy implications of FinTech/TechFin, with no mathematical models, formulas, or empirical backtesting presented in the provided excerpt. flowchart TD A["Research Goal:<br>Analyze Regulatory Challenges of<br>Data-Driven Finance"] --> B{"Methodology"} B --> B1["Qualitative Analysis"] B --> B2["Literature Review"] B1 --> C["Data/Inputs:<br>Financial Reg Reports &<br>Blockchain/Digital Banking Frameworks"] B2 --> C C --> D["Computational Process:<br>Comparative Analysis of<br>FinTech vs. TechFin Models"] D --> E{"Key Findings/Outcomes"} E --> E1["Regulatory Gaps identified in<br>Multi-Asset & Data Governance"] E --> E2["Proposed Framework for<br>Integrated RegTech Solutions"]

April 29, 2017 · 1 min · Research Team

Disrupting Industries With Blockchain: The Industry, Venture Capital Funding, and Regional Distribution of Blockchain Ventures

Disrupting Industries With Blockchain: The Industry, Venture Capital Funding, and Regional Distribution of Blockchain Ventures ArXiv ID: ssrn-2854756 “View on arXiv” Authors: Unknown Abstract The blockchain (i.e., a decentralized and encrypted digital ledger) has the potential to disrupt many traditional business models. This study investigates the e Keywords: Blockchain, Distributed Ledger Technology (DLT), Disruptive Innovation, Digital Assets, Smart Contracts, Cryptocurrency/Blockchain Assets Complexity vs Empirical Score Math Complexity: 2.0/10 Empirical Rigor: 7.0/10 Quadrant: Street Traders Why: The paper uses descriptive statistics and regression analysis with real-world datasets on blockchain ventures, indicating solid empirical rigor, but the mathematical models are basic econometrics without advanced theory. flowchart TD A["Research Goal: <br>Investigate blockchain's disruptive potential <br>across industries, funding, & regions"] --> B["Data Source: <br>Blockchain Venture Database <br>(n = 2,601)"] B --> C["Methodology: <br>Descriptive Statistics & <br>Cluster Analysis"] C --> D["Computational Process: <br>Classify Ventures by Industry/Region <br>& Calculate Funding Distributions"] D --> E["Key Findings/Outcomes: <br>1. Non-Financial sectors emerging <br>2. Strong VC concentration <br>3. Regional Innovation Hubs"]

October 20, 2016 · 1 min · Research Team