• Corpus ID: 204509581

Networks of monetary flow at native resolution

  title={Networks of monetary flow at native resolution},
  author={Caroline Mattsson},
People and companies move money with every financial transaction they make. We aim to understand how such activity gives rise to large-scale patterns of monetary flow. In this work, we trace the movement of e-money through the accounts of a mobile money system using the provider's own transaction records. The resulting transaction sequences---balance-respecting trajectories---are data objects that represent observed monetary flows. Common sequential motifs correspond to known use-cases of… 

Figures and Tables from this paper

ICT in Business and the Public Sector

We use company transaction data to empirically describe the effects of Covid-19 on the Dutch economy. By using transaction data, we distinguish ourselves from previous work: the transaction data

Sarafu Community Inclusion Currency 2020–2021

We describe a dataset of account information and detailed transaction records for a digital complementary currency in Kenya. This “Sarafu system” initially encompassed several local, physical

MicroVelocity: rethinking the Velocity of Money for digital currencies

A novel framework to analyse the velocity of money in terms of the contribution of each individual agent, and to uncover the distributional determinants of aggregate velocity is proposed, which empirically finds is very heterogeneously distributed and strongly correlates with agents’ wealth.

Introducing Cashless Transaction Index based on the Effective Medium Approximation

The effective medium approximation (EMA) method is commonly used to estimate the effective conductivity development in composites containing two types of materials: conductors and insulators. The



Cyclic motifs in the Sardex monetary network

Analyses of transactions in a new monetary system (Sardex community currency) reveal that transaction cycles increase in prevalence over time and that economic activity within these cycles is higher compared to linear transactions through the network.

The topology of card transaction money flows

Do the Rich Get Richer? An Empirical Analysis of the Bitcoin Transaction Network

Investigating the microscopic statistics of money movement, it is found that sublinear preferential attachment governs the evolution of the wealth distribution and a scaling law between the degree and wealth associated to individual nodes is reported.

Mobile Money in Tanzania

A large individual-level data set of mobile money transactions in Tanzania shows that m-money ameliorates significant amounts of crime-related risk and proposes Pareto superior price.

Network and eigenvalue analysis of financial transaction networks

A dataset containing all financial transactions between the accounts of practically all major financial players within Austria over one year is studied, observing a significant dependence of network topology on the time scales of observation, and remarkably low correlation between node degrees and transaction volume.

Money Is What Money Does: Monetary Aggregation and the Equation of Exchange

  • P. Spindt
  • Economics
    Journal of Political Economy
  • 1985
This paper develops a method for distilling the transactions role of the array of monetary assets available to the public into a single aggregate measure of effective transactions balances. The

Mobile Money: The Economics of M-Pesa

Mobile money is a tool that allows individuals to make financial transactions using cell phone technology. In this paper, we report initial results of two rounds of a large survey of households in

From Transactions Data to Economic Statistics: Constructing Real-Time, High-Frequency, Geographic Measures of Consumer Spending

Access to timely information on consumer spending is important to economic policymakers. The Census Bureau's monthly retail trade survey is a primary source for monitoring consumer spending

Illiquidity in the Interbank Payment System Following Wide-Scale Disruptions

We show how the interbank payment system can become illiquid following wide-scale disruptions. Two forces are at play in such disruptions-operational problems and changes in participants' behavior.

The Home Economics of E-Money: Velocity, Cash Management, and Discount Rates of M-Pesa Users.

Examination of data on withdrawals shows a high frequency of small withdrawals and no response to "notches" in the price schedule, indicating that many users seem to have high implicit discount rates in M-Pesa.