Research
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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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0.7%1.4%2.1%2.8% · May 199819922001200920172026
48 results for blockchain technology

Quantum crypto-economics models price risks in blockchain technology.

problem Quantum technology's potential to undermine blockchain security.
method Building financial models to price quantum risk in blockchain scenarios.
result Quantum crypto-economics models can assess and price quantum risks in blockchain.

This paper explores crypto, blockchain, and Metaverse risks and opportunities.

problem Understanding crypto crashes and blockchain technologies.
method Interdisciplinary approach combining fintech, machine learning, and risk assessment.
result Blockchain technologies will continue to dominate, but discerning genuine projects is crucial.

Blockchain and AI improve invoice financing for supply chains.

problem Challenges in invoice financing for upstream suppliers in complex supply chains.
method Combining blockchain and AI technologies to solve financing issues.
result Atomic crosschain functionality enables informed decisions under uncertainty.

This study evaluates Algorand and Ethereum 2.0 for blockchain trilemma challenges.

problem Balancing decentralization, security, and scalability in blockchain systems.
method Comparative analysis of Algorand and Ethereum 2.0 using metrics for decentralization, scalability, and security.
result Each system has strengths in addressing the blockchain trilemma, providing insights for other blockchain technologies.

Blockchain technology shows significant results and huge potential for serving as an interweaving fabric that goes through every industry and market, allowing decentralized and secure value exchange, thus connecting our civilization like never before. The standard approach for asset value predictions is based on market…

2018-10-15abs ↗pdf ↗

This paper examines anomalies and frauds in blockchain networks and proposes detection techniques.

problem Anomalies and frauds undermine blockchain networks' integrity and security.
method Statistical and machine learning methods, game-theoretic solutions, digital forensics, reputation-based systems, and risk assessment techniques.
result Practical applications and insights for enhancing blockchain network security.

Blockchain is a distributed database that keeps a chronologically-growing list (chain) of records (blocks) secure from tampering and revision. While computerisation has changed the nature of a ledger from clay tables in the old days to digital records in modern days, blockchain technology is the first true innovation i…

2016-12-06abs ↗pdf ↗

This paper examines market misconduct in DeFi and proposes regulatory solutions.

problem Novel forms of market misconduct in DeFi.
method Comprehensive analysis, comparative study, empirical measurements, and tailored regulatory framework investigation.
result Identification of key areas for regulatory enhancement in DeFi.

Blockchain protocol improves traditional mutual funds with performance fees and investor protection.

problem Operational issues and performance fees in traditional mutual funds.
method Developed a blockchain protocol that integrates features of mutual funds and hedge funds.
result Blockchain can simplify performance fee calculations and protect investors.

Study evaluates digital transformation impact on financial performance using LLMs.

problem Measuring and understanding the impact of digital transformation on financial performance.
method Constructed DT indicators from company reports; analyzed effects of different digital technologies.
result Digital transformation improves financial performance, but varies by technology.

ChainNet uses blockchain graph topological features to predict cryptocurrency prices.

problem Capturing network dynamics of blockchain graphs to predict cryptocurrency prices.
method Persistent homology for computing topological features of blockchain graphs.
result Topological features outperform standard graph features in predicting cryptocurrency price dynamics.

New method improves blockchain analysis by handling temporal changes and scalability.

problem Limited focus on evolving nature and scalability of blockchain transaction networks.
method Incremental approach with Metropolis-Hastings random walks.
result Comparable performance in node classification tasks with reduced computational overhead.

This study measures decentralization in blockchain finance governance.

problem Defining and measuring decentralization in blockchain finance applications.
method Aggregating and analyzing empirical data of four finance applications to calculate coefficients for governance token distribution.
result Gauges for objective evaluation of token governance capabilities and limitations.

This paper analyzes Ethereum blockchain using topology and geometry to uncover crypto-token price dynamics.

problem Lack of understanding on crypto-token price dynamics from blockchain data.
method Topological data analysis and functional data depth.
result Ethereum blockchain provides insights into crypto-token price dynamics not accessible with conventional methods.

We discuss several uses of blockchain (and, more generally, distributed ledger) technologies outside of cryptocurrencies with a pragmatic view. We mostly focus on three areas: the role of coin economies for what we refer to as data malls (specialized data marketplaces); data provenance (a historical record of data and …

2018-02-21abs ↗pdf ↗

This paper explores IT governance for CBDC adoption in financial markets.

problem Adopting CBDC requires new IT governance models in financial markets.
method Systematic Literature Review (SLR) of 14 studies on IT resources and governance models.
result Many IT resources and preliminary IT designs for CBDC governance identified.

DAM improves cryptocurrency trend forecasting using multimodal data.

problem Simplistic merging of sentiment data in cryptocurrency trend forecasting.
method Dual Attention Mechanism (DAM) integrating financial metrics and sentiment analysis.
result DAM outperforms conventional models by up to 20% in prediction accuracy.

Flash crash on Ethereum shows social coordination can destabilize blockchain systems.

problem Interconnected socio-technical systems can be fragile due to social coordination.
method Analyzed the 2017 Ethereum flash-crash to illustrate the fragility of blockchain systems.
result Emergent centralization can lead to catastrophic cascades in interconnected systems.

Study on decentralization in DAOs and its effect on financial efficiency in DeFi.

problem Understanding the impact of decentralization on financial efficiency in blockchain-based governance.
method Analysis using Gini coefficient as an inequality indicator, comparing ROI of token owners.
result Real decentralization affects financial efficiency positively in DeFi.

FinML-Chain integrates blockchain data for financial machine learning.

problem Challenges in financial machine learning, including missing data, lack of transparency, and incompatible data sources.
method Blockchain technology integrated with machine learning techniques to address financial market challenges.
result Framework generates datasets for analyzing economic mechanisms, advancing financial research.

Paper develops security model and pricing for stable digital currency in quantum blockchain network.

problem Securing and pricing stable digital currency in a quantum blockchain network.
method Developed a block-based quantum channel networking technology and a FinTech platform model with dynamic pricing.
result Established a generalized IoB security model using quantum channel networking and QKD.

Blockchain funds balance risk and return for various investors.

problem Creating diversified portfolios with risk parity for different risk appetites.
method Developed three funds (Alpha, Beta, Gamma) with distinct risk and return profiles, setting weights inversely proportional to risk.
result Blockchain enables investors to select their preferred risk-return combination and allocate wealth accordingly.

Paper proposes using blockchain for trustable machine learning with streaming layer and synthetic data.

problem Machine learning results are not fully trusted due to mutable data and difficulty in automation.
method Blockchain technology for immutable data storage and smart contracts for automation. Server, streaming, and smart contract implementations.
result A compact binary model format for streaming layer and synthetic data generation for limited training data.

Framework for responsible LLM deployment with human involvement and decentralized technologies.

problem Challenges in deploying LLMs for high-stakes decisions, including data security and accountability.
method Interactive human involvement through multiple iterations, decentralized technologies, and automated auditing.
result Enhanced security and accountability in LLM deployment for financial decisions.

Bitcoin mining costs remain stable despite increased activity.

problem Stability of Bitcoin mining costs despite rising energy consumption.
method Estimation of global energy cost over a decade, considering changing oil costs and technological improvements.
result The cost of Bitcoin mining has remained relatively stable since 2010, relative to the volume of transactions.