arXiv research

We introduce blockchains and distributed ledgers and describe their potential applications to money and banking. The analysis compares public and private ledgers and outlines the suitability of various types of ledgers for different purposes. Furthermore, a few historical prototypes of blockchains and distributed ledge…

We study invariant metrics on Ledger-Obata spaces $F^m/\mathrm{diag}(F)$. We give the classification and an explicit construction of all naturally reductive metrics, and also show that in the case $m=3$, any invariant metric is naturally reductive. We prove that a Ledger-Obata space is a geodesic orbit space if and onl…

This study aims to improve communication between fragmented blockchain systems in finance.

In this paper, we study invariant Einstein metrics on Ledger-Obata spaces $F^m/\operatorname{diag}(F)$. In particular, we classify invariant Einstein metrics on $F^4/\operatorname{diag}(F)$ and estimate the number of invariant Einstein metrics on general Ledger-Obata spaces $F^{m}/\operatorname{diag}(F)$.

Cryptocurrencies use blockchain tech for secure transactions, offering new research opportunities.

Study reveals strong price correlations between major and alt-coins.

Decentralized finance uses blockchain for $70B in assets, differing from traditional finance.

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

Paper proposes a comprehensive taxonomy for crypto assets.

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…

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 …

A term structure model in which the short rate is zero is developed as a candidate for a theory of cryptocurrency interest rates. The price processes of crypto discount bonds are worked out, along with expressions for the instantaneous forward rates and the prices of interest-rate derivatives. The model admits function…

Study $π$-equigeodesic vectors in homogeneous fibrations.

In this paper, by modifying the argument shift method,we prove Liouville integrability of geodesic flows of normal metrics (invariant Einstein metrics) on the Ledger-Obata $n$-symmetric spaces $K^n/\diag(K)$, where $K$ is a semisimple (respectively, simple) compact Lie group.

This paper explains tax policy for crypto assets in a rapidly evolving tech landscape.

The paper explores how mining costs, rewards, and blockchain security are interconnected.

The paper assesses VASPs' solvency using multiple data sources.

Ideal attribution mechanisms track model interactions for faithful watermarks.

Money was invented to address the difficulty in the double coincidence of wants between the supply and demand when people exchanged their goods and services. There are two information states in society: one is the initial state that people have goods and services due to division of labor; the other is the final state t…

Paper presents a risk management framework for blockchain protocols.

This study categorizes RWA tokenization challenges and solutions.

Cryptocurrencies are distributed systems that allow exchanges of native tokens among participants, or the exchange of such tokens for fiat currencies in markets external to these public ledgers. The availability of their complete historical bookkeeping opens up the possibility of understanding the relationship between …

Method extracts taint flows to classify Bitcoin mining pools.

Blockchain technology and, in particular, blockchain-based cryptocurrencies offer us information that has never been seen before in the financial world. In contrast to fiat currencies, all transactions of crypto-currencies and crypto-tokens are permanently recorded on distributed ledgers and are publicly available. As …

We prove a monodromy theorem for local vector fields belonging to a sheaf satisfying the unique continuation property. In particular, in the case of admissible regular sheaves of local fields defined on a simply connected manifold, we obtain a global extension result for every local field of the sheaf. This generalizes…

DyFEn simulates blockchain for fee setting in payment channels.

Paper introduces Cycles Protocol to integrate trade credit into market clearing.

This paper examines interest rates and market efficiency in DeFi loanable funds protocols.

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

Study XRP network, propose Flow Index to analyze transaction frequencies.

This paper discusses the potential impacts of the so-called `initial coin offerings', and of several developments based on distributed ledger technology (`DLT'), on corporate governance. While many academic papers focus mainly on the legal qualification of DLT and crypto-assets, and most notably in relation to the pote…

Blockchain funds balance risk and return for various investors.

This research compiles knowledge on decentralized exchanges with AMM protocols.

The notion of a $Γ$-symmetric space is a generalization of the classical notion of a symmetric space, where a general finite abelian group $Γ$ replaces the group $Z_2$. The case $Γ=\Z_k$ has also been studied, from the algebraic point of view by V.Kac \cite{VK} and from the point of view of the differential geometry by…

The paper studies stability of Einstein metrics on non-simple Lie group homogeneous spaces.

The study analyzes how cross-chain interoperability affects decentralized lending protocols' performance.

Method preserves order in hierarchical clustering of ordered data.

Federated Learning is the current state of the art in supporting secure multi-party machine learning (ML): data is maintained on the owner's device and the updates to the model are aggregated through a secure protocol. However, this process assumes a trusted centralized infrastructure for coordination, and clients must…

Paper uses LLMs to detect financial anomalies.

Unfulfilled expectations from macro-economic initiatives during the Great Recession and the massive shift into globalization echo today with political upheaval, anti-establishment propaganda, and looming trade/currency wars that threaten domestic and international value chains. Once stable entities like the EU now look…

Quantum theory reinterprets financial pricing by focusing on observable price transitions.

A digital euro protocol offers complete privacy and offline transactions using Groth-Sahai proofs.

Threadneedle is a multi-agent simulation framework, based on a full double entry book keeping implementation of the banking system's fundamental transactions. It is designed to serve as an experimental test bed for economic simulations that can explore the banking system's influence on the macro-economy under varying a…

Financial markets are not random, but hard to predict due to hidden causes and strategic use.

In this article we continue the study of the geometry of $k$-D'Atri spaces, $$ $\leq n-1$ ($n$ denotes the dimension of the manifold)$,$ began by the second author. It is known that $k$-D'Atri spaces, $k\geq 1,$ are related to properties of Jacobi operators $R_{v}$ along geodesics, since she has shown that ${\…

The paper explores solutions to the distributional Bellman equation in reinforcement learning.

Proposes vMF distribution for skewed elliptical distributions.

Study calculates tail risk for various mixture distributions.