The world's first DSF-R Conference!

The International Conference on Data Science in Finance with R
Demystifying the buzz around Artificial Intelligence in Finance

September 13-14, 2018 in Vienna

DSF-R Conference

The DSF-R (International Conference of Data Science in Finance with R) is the annual conference hosted by the Academy of Data Science in Finance in cooperation with WU Vienna. The conference aims to bring academics and finance professionals together to discuss all applications of contemporary Data Science approaches to the area of Finance. These topics include Machine Learning, Deep Learning, Artificial Intelligence, Sentiment Analysis and Prescriptive Analytics.

Mission Statement

This conference has been created to demystify the buzz around Artificial Intelligence (AI) and to focus on reality instead of hype. The collaboration of academic practicioners and practical academics will show how everyone in the Finance Industry can benefit from the unprecedented progress in Data Science technologies.


Platinum Sponsors


Gold Sponsors


Silver Sponsors




Program Overview

[Day 1]
Applied Talks

Day One is focused on talks by industry experts and academics on Finance related applications of Data Science. The whole spectrum of possible applications will be covered.

WHAT can be done!

[Day 2]
Technical Sessions

Day Two is meant to provide in-depth discussion on new and cutting edge technologies, including all contemporary AI for Finance methods like Deep Learning and Sentiment Analysis.

HOW it can be done!

Social Events

The conference will be accompanied by networking events in the beautiful city of Vienna. Be sure to be able to spend the weekend after the conference in Vienna too!

ENJOY Vienna!

Conference Program

Wednesday, 12.9. 18:00-22:00 / Welcome Reception at WU Vienna

Thursday, 13.9. 08:45-09:00 / Opening Session

Ronald Hochreiter
Academy of Data Science in Finance
Welcome to the DSF-R 2018

Thursday, 13.9. 09:00-10:30 / Financial Time-Series Analysis using R

Gregor Kastner
WU Vienna
Dealing with stochastic volatility in time-series using the R packages stochvol and factorstochvol
Kris Boudt
Vrije Universiteit Amsterdam
Downside risk evaluation with R package GAS
Nermina Mumic
TU Vienna
Fraud detection using time-dependent compositional data and robust filtering

Thursday, 13.9. 10:30-11:00 / Coffee Break - sponsored by OpenMetrics.Solutions

Thursday, 13.9. 11:00-12:30 / Blockchain and Cryptocurrency Analysis

Bernhard Pfaff
Looking under the hood: Investigating the blockchain with R
Hermann Elendner
Humboldt-Universität zu Berlin
Liquidity and Resiliency of Crypto-currency Markets
Branka Hadji Misheva
University of Pavia
Network-based VAR models to detect interdependencies between crypto prices

Thursday, 13.9. 12:30-14:00 / Lunch - sponsored by Invesco

Thursday, 13.9. 14:00-15:30 / Cryptoeconomics, Cryptocurrenies and Market Efficiency

Stefan Voigt
WU Vienna
Limits to Arbitrage in Markets with Stochastic Latency
Paolo Pagnottoni
University of Pavia
Vector error correction models to measure price connectedness between bitcoin exchange prices
Evgeniia Filippova
WU Vienna
Cryptoeconomics @ WU

Thursday, 13.9. 15:30-16:00 / Coffee Break

Thursday, 13.9. 16:00-17:30 / Asset Management

Tobias Setz
Using R in a productive asset management environment
Thomas Keil
Raiffeisen Research
A blueprint for deriving multiple efficient and coherent asset allocations for premium and private banking clients in CEE
Zehra Eksi
WU Vienna
Pairs Trading Under Drift Uncertainty and Risk Penalization

Thursday, 13.9. 19:00-22:00 / Conference Dinner at Sky Restaurant, 1010 Vienna
Sponsored by Raiffeisen Bank International

Friday, 14.9. 9:00-10:00 / Data Science and how to build successful AI business applications

Ronald Hochreiter
Academy of Data Science in Finance
What is a Data Scientist? What is Data Science?
Mario Annau
Let’s play together: Collaborative Data Science

Friday, 14.9. 10:00-11:00 / Processing Financial Data with R

Jochen Papenbrock
Explainable Processing of Complex Financial Data in R/R-Shiny
Michael Mifek
Raiffeisen Centrobank
Regulatory Calculations with R

Friday, 14.9. 11:00-11:30 / Coffee Break - sponsored by Quantargo

Friday, 14.9. 11:30-13:00 / Text Mining and Sentiment Analysis

Florian Schwendinger
WU Vienna
An In-Depth Tutorial on Natural Language Processing with R
Samuel Borms
Universite de Neuchatel
The R package sentometrics to compute, aggregate and predict with textual sentiment
Mihai Lupu
Research Studios Austria
Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models

Friday, 14.9. 13:00-14:00 / Lunch

Friday, 14.9. 14:00-15:30 / Technical Advances with R

Joel Gotsch, Ihor Shylo
Raiffeisen Bank International
R for Machine Learning & AI at RBI AG
Christoph Bodner, Thomas Laber
Post AG
Scaling R in the Cloud: A Case Study from Post AG

Friday, 14.9. 15:30-16:00 / Coffee Break

Friday, 14.9. 16:00-17:00 / Credit Risk Analytics

Laura Vana
WU Vienna
A Credit Risk Application of Multivariate Ordinal Regression Models using the R package mvord
Mathieu Mercadier
Universite de Limoges
Credit Spread Approximation and improvement using random forest regression

Friday, 14.9. 18:00-22:00 / Farewell Beer at Schweizerhaus

Conference Code of Conduct

DSF-R 2018 is dedicated to providing a harassment-free conference experience for everyone regardless of gender, sexual orientation, disability or any feature that distinguishes human beings. For more information, please see the R Consortium code of conduct.

Organizing Committee

Angela Bitto-Nemling

Angela Bitto-Nemling


Alexander Eisl

Alexander Eisl

Ronald Hochreiter


Christian Ochs


Stefan Theußl


The conference will take place at the new campus of the WU Vienna University of Economics and Business (WU Vienna).

Contact us

Academy of Data Science in Finance e.V.
Scheimpfluggasse 1/15
1190 Wien, Österreich