Alessio Brini

Journal article Environmetrics · July 1, 2026 This paper provides a framework for measuring honey-production risk that complements standard mean-based analyses by explicitly targeting downside tail risk. Using hive-weight data from a large sample of Italian hives over the period 2021–2024, downside ta ... Full text Cite

Modeling and simulating a startup ecosystem development with a delayed differential equation

Journal article Soft Computing · March 1, 2025 In our work, we model the dynamics of a startup ecosystem through a delayed differential equation that considers the system growth’s driving factors. The work presents a theoretical and numerical analysis to study the equilibrium and the stability of the d ... Full text Cite

A comparison of cryptocurrency volatility-benchmarking new and mature asset classes

Journal article Financial Innovation · December 1, 2024 The paper analyzes the cryptocurrency ecosystem at both the aggregate and individual levels to understand the factors that impact future volatility. The study uses high-frequency panel data from 2020 to 2022 to examine the relationship between several mark ... Full text Cite

Pricing cryptocurrency options with machine learning regression for handling market volatility

Journal article Economic Modelling · July 1, 2024 Pricing cryptocurrency options, crucial for risk management and market stabilization, presents unique challenges due to specific underlying dynamics like the inversion of the leverage effect. Classical option pricing models like Black–Scholes and Heston st ... Full text Cite

Reinforcement learning policy recommendation for interbank network stability

Journal article Journal of Financial Stability · August 1, 2023 In this paper, we analyze the effect of a policy recommendation on the performance of an artificial interbank market. Financial institutions stipulate lending agreements following a public recommendation and their individual information. The former is mode ... Full text Cite

Deep reinforcement trading with predictable returns

Journal article Physica A Statistical Mechanics and Its Applications · July 15, 2023 Classical portfolio optimization often requires forecasting asset returns and their corresponding variances in spite of the low signal-to-noise ratio provided in the financial markets. Modern deep reinforcement learning (DRL) offers a framework for optimiz ... Full text Cite

Assessing the resiliency of investors against cryptocurrency market crashes through the leverage effect

Journal article Economics Letters · November 1, 2022 By analyzing a large cross-section of cryptocurrencies, we document the absence of the leverage effect in this market. Unlike the equity market, investors exhibit less panicking behavior and appear indifferent to negative returns in terms of market partici ... Full text Cite