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  3. DaDFiR3 - Data Driven Financial Risk and Regulatory Reporting DaDFiR3 - Data Driven Financial Risk and Regulatory Reporting

DaDFiR3 - Data Driven Financial Risk and Regulatory Reporting

The BRIDGE project DaDFiR3, with the participation of the ZHAW School of Engineering, the HSLU and the University of Zurich, is developing a digital infrastructure for banks and financial supervisors to enable automated real-time verification.

Brief information

School:

Computer Science and Information Technology

Status:

Ongoing

Period:

01.04.2022 - 31.03.2026

Overview

DaDFiR3 pursues the vision of a system for automated regulatory financial reporting, using financial contract-level data in combination with market data to produce the necessary analyses as required for internal and external supervision.

Content and objective

We will deploy an ICT infrastructure that provides a suitable ecosystem for forward-looking financial simulation and analysis. We will also further develop the financial mathematical toolset for risk analysis. Key elements of our technology are: (i) the ACTUS standard for digital representation of financial contracts; (ii) blockchain technology and smart contracts for decentralized finance; (iii) Big Data technology; (iv) state-of-the-art financial analytics. This infrastructure enables largely automated, situational risk assessment of individual financial institutions (microprudential supervisory activity) and, in the final development, of the entire financial system (macroprudential supervisory activity).

Scientific and societal context

Effective and efficient financial regulation serves to stabilize the financial system and thus the entire economy and society. The financial crisis of 2007-2009 demonstrated this impressively. Regulatory financial reporting is a key element.

With the new infrastructure, regulatory financial reports can be flexibly adapted to the respective needs and quickly produced. The currently considerable costs for the banks will be greatly reduced through automation. At the same time, the new DeFi area will also be included. The ultimate goal is an automated system similar to the worldwide daily weather forecast.

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Facts

Type of project

Forschung

Internal organisations involved
  • Data Intelligence F&E
Funding
  • Bridge - Discovery - HSLU Teil eines Konsortiums
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Links

  • DaDFiR3 Projektseite

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Persons involved: internal

Project manager
  • Tim Weingärtner
Member of project team
  • Chen-Da Liu Zhang
  • Pedro Reis Sá da Costa
  • Hongyan Sun
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Persons involved: external

External project manager
  • Wolfgang Breymann
External member of project team
  • Christoph Auth
  • Walter Farkas
  • Patrick Hauf

Publications

  • Article, review; peer reviewed (1)

    • Farkas, Walter; Fasser, Fabian; Reis Sá da Costa, Pedro & Weingärtner, Tim (20.10.2023). Deciphering DeFi: A Comprehensive Analysis and Visualization of Risks in Decentralized Finance. Journal of Risk and Financial Management, 2023, Vol. 16(10), doi: https://doi.org/10.3390/jrfm16100454

Brief information

School:

Computer Science and Information Technology

Status:

Ongoing

Period:

04/01/2022 - 03/31/2026

Project Head

Prof. Dr. Tim Weingärtner

Lecturer

+41 41 757 68 20

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