4 papers
Predicting the success of new crypto-tokens: the Pump.fun case
Giulio Marino, Manuel Naviglio, Francesco Tarantelli +1
We study the dynamics of token launched on Pump.fun, a Solana-based launchpad platform, to identify the determinants of the token success. Pump.fun employs a bonding curve mechanis…
Why is the estimation of metaorder impact with public market data so challenging?
Manuel Naviglio, Giacomo Bormetti, Francesco Campigli +2
Estimating market impact and transaction costs of large trades (metaorders) is a very important topic in finance. However, using models of price and trade based on public market da…
Price manipulation schemes of new crypto-tokens in decentralized exchanges
Manuel Naviglio, Francesco Tarantelli, Fabrizio Lillo
Blockchain technology has revolutionized financial markets by enabling decentralized exchanges (DEXs) that operate without intermediaries. Uniswap V2, a leading DEX, facilitates th…
Score-Driven Exponential Random Graphs: A New Class of Time-Varying Parameter Models for Dynamical Networks
Domenico Di Gangi, Giacomo Bormetti, Fabrizio Lillo
Motivated by the increasing abundance of data describing real-world networks that exhibit dynamical features, we propose an extension of the Exponential Random Graph Models (ERGMs)…