Students

Ph.D. Students:

  • (2021-2023) Costanza Bosone , currently in internship at European Central Bank.

  • (2021-2023) Yana Kostiuk, currently in internship at European Central Bank.

  • (2018-2021) Alessandro Bitetto: Financial soundness indexes and risk management.

  • (2018-2021) Roberta Scaramozzino: credit risk management and textual analysis.

  • (2017-2020) Anca Mirela Toma: Fintech risk management.

  • (2015-2018) Nicola Giancarlo: Text analysis and Deep Learning in finance.

Master Thesis 2019-2020

  1. Barbara Tarantino: PEF analysis

  2. Marco DiBuono: financial soundness indexes

  3. Francesco Campanella: automotive

  4. Marco Caluzzi: ICos

    1. Daniel Alexei: THE TOKEN ECONOMY DESCRIBED BY AN EMPIRICALANALYSIS OF INITIAL COIN OFFERINGS (ICOs) MARKETDEFINED BY OPPORTUNITIES AND FRAUDS

  5. Murara Samuel: The utility of text mining: the analysis of PEF documents using SAS Contextual

  6. Andrea Pacifico

  7. Anna Bartsch: ICO Success Factors: a Regulatory and Statistical Approach on White Paper Disclosure Documents

  8. Jannis Poggensee Prediction of Exchange Rates Application and Evaluation of different Forecasting Approaches

  9. Ebxhi Xhindoli: Fintech’s impact on financial sector: Analysis of P2P lending platforms and traditional bank

  10. Andrea Bianchi: Visualizing Optimal Currency Areas via Self-Organizing Maps

  11. Maximilian Zueffle: THE IMPACT OF BRAIN DRAIN ON EMERGING MARKET ECONOMIE

  12. Anna Holzel: ‘Tech-ling’ mental health: a data science approach to investigate the psychological problem situation in the technology industry

Master Thesis 2017-2018

  1. Campasso Federico: ICO success drivers assessment (work in progress).

    1. Grignani Luca: TBD (work in progress).

  2. Andriolo Davide: Stock Market prediction through investors' mood: a comparison between Twitter and Stocktwits, graduated.

    1. Arenare Mattia: FORECASTING STOCK MARKETSTHROUGH INVESTOR SENTIMENT:AN ANALYSIS ON STOCKTWITS & SEEKING ALPHA, graduated.

    2. Brast Dominik: Tracking twitter based sentiment for financial Institutions, graduated.

    3. Briganti Federica: Assessing Uncertainty in financial markets with twitter data, graduated

    4. Catalano Mattia: A TEMPORAL ANALYSIS OF TOPICS IN FINANCE NEWS SPREAD RISK, graduated.

    5. Lipowschek Marko: Tracking twitter based sentiment for financial Institutions, graduated.

  1. Pinter Barbara: THE EFFECTS OF TWITTER SENTIMENT ON STOCK PRICE MOVEMENT THROUGH THE EXAMPLE OF ADIDAS AG (traineeship with German company).

  2. Poli Margherita Luisa: Venture Capital and Innovation, graduated.

  3. Nawied Bhatti: Sentiment Analysis An Investigation on Banks in the German-Speaking Region, graduated.

    1. Saccogna Alessandro: BLOCKCHAIN FOR BUSINESS: BLOCKCHAIN APPLICATIONS BEYOND CRYPTOCURRENCIES, graduated.

  1. Urbano Giulia: Governor Software & Machine Learning (traineeship with Governor, Dublin), graduated.

Master Thesis 2016-2017

  1. Giampa Miriam: Analyzig influential twitterer of a Fintech

  2. Girardi Yari: FINANCIAL MARKETS AND MOOD PERCEPTIONS: AN ANALYSIS THROUGH TWITTER DATA

  3. Marrazzo Giovanni: Sentiment analysis based on classifiers

  4. Perinati Luca: COMPARISON OF SENTIMENT ANALYSIS METHODS WITH R AND PYTHON

  5. Timo Camilla: Big data in the real world: The experimental project for an Italian bank through Watson IBM

Bachelor Thesis 2016-2017

Gurnari Marco: efficient implementation of Deep learning process within Python

Master Thesis 2015

  1. Stolz Liza: Migration in Europe, A sentiment analysis of Twitter Data

  2. Mazzarella Marta:

  3. Scibilla Marina: BIG DATA ANALYSIS TO ESTIMATE THE VALUE OF BANKS