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Introduction to Blockchain Applications in Finance - Training Week

I. Introduction to Blockchain applications in finance (ASE) II. Scientific Writing (BFH)

Introduction to Blockchain Applications in Finance - Training Week
Introduction to Blockchain Applications in Finance - Training Week

Time & Location

03 Nov 2025, 09:00 – 07 Nov 2025, 17:00

Bucharest University of Economic Studies, Piața Romană 6, Room Robert Schuman, 010374 Bucharest, Romania

About the event

The training week provides a comprehensive introduction to Blockchain Applications in Finance, covering both the fundamentals of blockchain technology and its practical applications in financial markets.

Participants will explore a broad set of topics, including cryptocurrencies, decentralized finance (DeFi), tokenization of assets, NFTs, and central bank digital currencies (CBDCs). Risk assessment methods such as spectral risk measures, stochastic dominance, regime-switching models, and Financial Risk Meter (FRM) will also be presented, alongside advanced lectures on AI and blockchain integration.

The program combines academic lectures, industry case studies, panel discussions, and hands-on project sessions. By the end of the week, participants will:

  • Understand blockchain fundamentals and financial applications.

  • Analyze risks and systemic implications of blockchain-based assets.

  • Explore opportunities and limitations of DeFi, NFTs, and digital assets.

  • Engage with reproducible research through Quantlet and Quantinar.

  • Begin developing doctoral projects to be presented at final sessions.

Modules and Credits

This training week is part of the MSCA Digital Finance Doctoral Program:

  • 3–6 November: Foundation modules on blockchain, digital assets, and risk modeling (4 ECTS)

  • 7 November: Research writing and publishing tutorials (1 ECTS)

  • 30 January 2026: Final online group presentations

Prior Knowledge

Participants should have:

  • Basic understanding of finance, asset pricing, and risk measures

  • Programming experience in Python or R (data analysis, visualization, econometrics)

  • Knowledge of statistics, linear algebra, and time-series analysis

Time Schedule

Monday (03/11)
  • 08:50 - 09:20 → Registration

  • 09:20 – 09:30 → Welcome  – Constantin Marius Profiroiu (Vice-Rector for International Relations), Dorel Paraschiv (Vice-rector for Liaison with the Social and Business Environment, Student Cooperation)

  • 09:30 – 09:40 → Introduction to MSCA Digital Finance Training Week  – Daniel Traian Pele, Joerg Osterrieder

  • 09:40 – 10:40 → Blockchain Technology  – Wolfgang Karl Härdle

  • 11:00 – 12:00 → Blockchain for Social Good: The Case of Sarafu Network Community Asset Vouchers in Kenya  – Patricia Marcella Evite & Will Ruddick

  • 13:00 – 15:00 → Blockchain Business Models  – Frederik Bernard

  • 15:20 – 17:00 → Project: description and coding  – All

Tuesday (04/11)
  • 09:40 – 10:40 → Do Investors Buy Innovation: Market Responses to Ethereum Development Milestones  – Daniel Traian Pele

  • 11:00 – 12:00 → Stochastic Dominance in the Crypto Market  – Radu Lupu

  • 13:00 – 14:00 → Transformer CoVaR  – Weining Wang

  • 14:00 – 15:00 → No shortfall of ES estimators: Insights from cryptocurrency portfolios  – Matúš Horváth

  • 15:20 – 16:10 → Bayesian Estimation of Regime-Switching Bubbles with Time-Varying Probabilities  – Petre Caraiani

  • 16:10 – 17:00 → Project: description and coding  – All

Wednesday (05/11)
  • 09:40 – 10:40 → Blockchain Mechanism and Distributional Characteristics of Cryptos Wolfgang Karl Härdle

  • 11:00 – 12:00 → NFT and other Digital Assets  Wolfgang Karl Härdle

  • 13:00 – 14:00 → Rough Volatility and Correlated Jumps  Xiaorui Zuo

  • 14:10 – 15:10 → Pricing Kernels and Risk Premia  Julian Winkel

Thursday (06/11)
  • 09:00 – 09:45 → Stable Coin Risks  Daniel Traian Pele

  • 09:45 – 10:30 → Blockchain Characteristics and Systematic Risk: A Neural Network Based Factor Model for Cryptocurrencies  Alla Petukhina

  • 10:45 – 11:30 → Bubbles all the way down? Detecting and date-stamping bubble behaviours in NFT and DeFi markets  Lennart John Baals

  • 11:45 – 12:30 → Project Progress Presentations & Discussions  All

  • 13:30 – 13:45 → Review and Coordination of MSCA Digital Finance  Joerg Osterrieder

  • 13:45 – 14:35 → Blockchain in Finance: Research, Tools, and Visualisation Techniques  Liana Stanca

  • 14:50 – 15:40 → Financial Risk Measures with Applications to the Cryptocurrency Market  Rui Ren

  • 15:55 – 16:45 → Transmission Dynamics in Crypto Markets: Comparing Volatility and Liquidity Spillover Networks  Barbara Bedowska Sojka

Friday (07/11)

  • 08:30 – 10:30 → What Makes a Good Paper  Christina Sichtmann

  • 11:00 – 12:30 → The Review Process  Christina Sichtmann

  • 14:00 – 15:30 → Tutorial: Find Ideas and Develop a Vision  Christina Sichtmann

  • 16:00 – 18:00 → Tutorial: Establish a Writing Habit  Christina Sichtmann

Final Presentations (30/01/2026)
  • 13:00 - 16:00 → Final Group Presentations (Online)

Speakers

  • Alla Petukhina Hochschule für Technik und Wirtschaft Berlin (HTW Berlin), Germany

  • Barbara Bedowska Sojka University of Poznan, Poland

  • Christina Sichtmann Bern University of Applied Sciences, Switzerland

  • Daniel Traian Pele IDA Institute Digital Assets, Bucharest University of Economic Studies; Institute for Economic Forecasting, Romanian Academy, Romania;

  • Frederik Bernard University of Twente, Netherlands

  • Joerg Osterrieder Coordinator MSCA Digital Finance

  • Julian Winkel Royalton Partners, Luxembourg

  • Lennart John Baals University of Twente, Netherlands

  • Liana Stanca Babes-Bolyai University, Cluj-Napoca, Romania

  • Matúš Horváth Masaryk University Brno, Czech

  • Patricia Marcella Evite University of Naples Federico II, Italy

  • Petre Caraiani Institute for Economic Forecasting, Romanian Academy; Bucharest University of Economic Studies, Romania

  • Radu Lupu IDA Institute Digital Assets, Bucharest University of Economic Studies; Institute for Economic Forecasting, Romanian Academy, Romania;

  • Rui Ren University of Augsburg, Germany

  • Weining Wang School of Economics, University of Bristol, UK; IDA Institute Digital Assets, Bucharest University of Economic Studies, Romania

  • Will Ruddick Grassroots Economics Foundation, Kenya

  • Wolfgang Karl Härdle IDA Institute Digital Assets, Bucharest University of Economic Studies, Romania

  • Xiaorui Zuo Technische Universität Berlin, Germany


Accommodation Options and Transport Information


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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Horizon Europe: Marie Skłodowska-Curie Actions. Neither the European Union nor the granting authority can be held responsible for them. This project has received funding from the Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101119635

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