Dr. Nils Andri Bundi
Dr. Nils Andri Bundi
ZHAW
School of Engineering
Technikumstrasse 81
8400 Winterthur
Work at ZHAW
Position
Senior Lecturer
Focus
- Blockchain & Decentralized Finance
- Quantitative Finance
- Network Theory
Education and Continuing education
Education
PhD / Financial Engineering
Stevens Institute of Technology
01 / 2014 - 07 / 2022
Network
Membership of networks
ORCID digital identifier
Social media
Projects
- Large Scale Data-Driven Financial Risk Modelling / Team member / completed
- Real-time price anomaly detection for market data quality monitoring / Project leader / completed
- Automation and industrialization of quantitative research / Team member / completed
- Algorithmic Contract Types Unified Standards / Team member / completed
- RENERG2 – RENewable enERGies in future energy supply / Team member / completed
- Risk- and Finance-Lab / Team member / completed
Publications
-
Wildi, Marc; Bundi, Nils Andri; et al.,
2019.
Bitcoin and market-(in)efficiency : a systematic time series approach.
Digital Finance.
1(1), pp. 47-65.
Available from: https://doi.org/10.1007/s42521-019-00004-z
-
Stockinger, Kurt; Bundi, Nils Andri; Heitz, Jonas; Breymann, Wolfgang,
2019.
Scalable architecture for big data financial analytics : user-defined functions vs. SQL.
Journal of Big Data.
6(46).
Available from: https://doi.org/10.1186/s40537-019-0209-0
-
Breymann, Wolfgang; Bundi, Nils; Heitz, Jonas; Micheler, Johannes; Stockinger, Kurt,
2019.
Large-scale data-driven financial risk assessment.
In:
Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, eds.,
Applied data science : lessons learned for the data-driven business.
Cham:
Springer.
pp. 387-408.
Available from: https://doi.org/10.1007/978-3-030-11821-1_21
-
Stockinger, Kurt; Heitz, Jonas; Bundi, Nils Andri; Breymann, Wolfgang,
2018.
Large-scale data-driven financial risk modeling using big data technology[paper].
In:
2018 IEEE/ACM 5th International Conference on Big Data Computing Applications and Technologies (BDCAT).
5th International Conference on Big Data Computing, Applications and Technologies (BDCAT), Zurich, Switzerland, 17-20 December 2018.
IEEE.
pp. 206-207.
Available from: https://doi.org/10.1109/BDCAT.2018.00033