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Introduction to Blockchain Applications in Finance - Training Week

I. Introduction to Blockchain applications in finance (ASE) II. History and Prospects of Digital Finance (UNA) III. Scientific Writing

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, București 010374, 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)
  • 09:30 – 09:40 → Welcome & 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 → No shortfall of ES estimators: Insights from cryptocurrency portfolios  – Matúš Horváth

  • 13:00 – 14:00 → Blockchain Business Models  – Frederik Bernard

  • 14:00 – 15:00 → Industry Lecture  – Cosmin Curticăpean

  • 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 → Stress testing CBDC adoption in a dual currency saving economy  – Cătălin Dumitrescu

  • 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 – 14:40 → Project: updates   All

  • 15:00 – 16:00 → Rough Volatility and Correlated Jumps  Xiaorui Zuo

  • 16:00 – 17:00 → Pricing Kernels and Risk Premia  Julian Winkle

Thursday (06/11)
  • 09:00 – 10:00 → FRM for Cryptos  Daniel Traian Pele

  • 10:00 – 11:00 → Blockchain Characteristics and Systematic Risk: A Neural Network Based Factor Model for Cryptocurrencies  Alla Petukhina

  • 11:20 – 12:00 → Project Progress Presentations & Discussions  All

  • 13:00 – 14:00 → Blockchain in Finance: Research, Tools, and Visualisation Techniques  Liana Stanca

  • 14:00 – 15:00 → Uncovering Hidden Structures: Latent Factor Models for Cryptocurrencies  Rui Ren

  • 15:20 – 16:20 → 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

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

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

  • Joerg Osterrieder Coordinator MSCA Digital Finance

  • Matúš Horváth Masaryk University Brno, Slovakia

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

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

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

  • Barbara Bedowska Sojka University of Poznan, Poland

  • Christina Sichtmann Bern University of Applied Sciences, Switzerland

  • Frederik Bernard University of Twente, Netherlands

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

  • Cosmin Curticăpean LENDOX CFTE - Centre for Finance, Technology and Entrepreneurship, Romania

  • Xiaorui Zuo National University of Singapore, Singapore

  • Julian Winkle Royalton Partners, Luxembourg

  • Rui Ren University of Augsburg, 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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