Paolo
d'Ascenzi
I work in finance, write about markets, and am developing ADHAM, an early-stage fintech research project.
My experience includes multi-country accounting, financial writing and the development of ADHAM, a research project on systematic investing, algorithmic methods, AI-assisted analysis, portfolio construction and risk. I try to keep process visible, assumptions clear and conclusions grounded in evidence.
Building a career across financial operations, markets and applied research.
Paolo's background combines a BSc in Banking, Finance and Insurance, investment banking training at the New York Institute of Finance, and practical experience in accounting and financial operations. Alongside his professional work, he writes about financial markets and develops ADHAM as an independent project. His interests sit where traditional finance meets data: understanding how structured research, systematic rules and modern analytical tools can support better judgement without replacing it.
Read full profileA factual record of work in progress.
Founder, ADHAM
Developing a fintech research project focused on systematic methods, market analysis and risk.
Financial Markets Writer
Writing regular market and macroeconomic commentary for Giornale Partite IVA.
AP Accountant Manager, GIS International
Supported multi-country accounting operations for Italy and South Africa from Ghent.
ADHAM
Algorithmic Data Hub & Analytical Management is an early-stage fintech research project exploring how data, systematic methods and AI-assisted analysis can support market research and risk monitoring. It is a developing body of work, not an investment service.
Independent notes on markets, methods and judgement.
View all researchAI in Financial Markets
This research note examines how artificial intelligence is reshaping financial research, from data processing and signal generation to real-time risk monitoring. It focuses on the role of machine learning in identifying non-linear relationships, filtering market noise, improving probabilistic decision-making, and supporting — not replacing — human judgement in investment analysis.
View research document Market Microstructure · Behavioural Finance · 2026Overnight Price Jumps and Short-Term Return Predictability
Overnight price jumps are rare but economically important discontinuities between the previous close and the next open. Large-sample evidence on 9,283 U.S. stocks from 1993 to 2021 shows that both positive and negative overnight jumps predict short-run returns with the opposite sign, consistent with temporary overreaction followed by correction once continuous trading resumes. The reversal is strongest immediately after the open and decays quickly as the holding horizon extends. The note also discusses what the move toward 23-hour U.S. equity trading may mean for this effect.
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Coming soon
A book about method when markets become noisy.
An accessible exploration of investment process, financial behaviour, risk and the practical use of analysis when uncertainty is high.
Discover the bookChartered Investment Banking Analyst
New York Institute of Finance
BSc Banking, Finance and Insurance
Università Cattolica del Sacro Cuore