Cryptocurrency/Blockchain Assets

The Specter (and Spectra) of Miner Extractable Value

The Specter (and Spectra) of Miner Extractable Value ArXiv ID: 2310.07865 “View on arXiv” Authors: Unknown Abstract Miner extractable value (MEV) refers to any excess value that a transaction validator can realize by manipulating the ordering of transactions. In this work, we introduce a simple theoretical definition of the ‘cost of MEV’, prove some basic properties, and show that the definition is useful via a number of examples. In a variety of settings, this definition is related to the ‘smoothness’ of a function over the symmetric group. From this definition and some basic observations, we recover a number of results from the literature. ...

Initial Coin Offerings

Initial Coin Offerings ArXiv ID: ssrn-3166709 “View on arXiv” Authors: Unknown Abstract This paper examines the market for initial coin offerings (ICOs). ICOs are smart contracts based on blockchain technology that are designed for entrepreneurs to Keywords: Initial Coin Offerings (ICOs), Smart Contracts, Blockchain, Cryptocurrency, Entrepreneurial Finance, Cryptocurrency/Blockchain Assets Complexity vs Empirical Score Math Complexity: 2.0/10 Empirical Rigor: 3.0/10 Quadrant: Philosophers Why: The paper appears to be an empirical study of a new financial market (ICOs) using observational data, which typically involves descriptive statistics, regression analysis, and event studies rather than advanced mathematical derivations. While it uses real-world data, the focus is on market analysis and implications rather than backtest-ready algorithmic trading code or rigorous performance metrics. flowchart TD A["Research Goal Examine the ICO Market via Blockchain Smart Contracts"] --> B["Methodology: Data Collection Token Attributes, Issuer Info, Market Data"] B --> C["Methodology: Market Analysis Price, Liquidity, Returns"] C --> D["Computational Process Statistical Analysis of Token Economics & Issuance"] D --> E{"Key Findings & Outcomes"} E --> F["ICOs as Efficient Entrepreneurial Finance Tools"] E --> G["Token Price Determinants Identified"] E --> H["Blockchain Transparency Enhances Market Trust"]

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: Investigate blockchain's disruptive potential across industries, funding, & regions"] --> B["Data Source: Blockchain Venture Database (n = 2,601)"] B --> C["Methodology: Descriptive Statistics & Cluster Analysis"] C --> D["Computational Process: Classify Ventures by Industry/Region & Calculate Funding Distributions"] D --> E["Key Findings/Outcomes: 1. Non-Financial sectors emerging 2. Strong VC concentration 3. Regional Innovation Hubs"]