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Nils Gimpl (MSc)

Frankfurt School

PhD candidate

German, English

Finance

Quantitative methods

> 85/h tutored

About

Hey, my name is Nils and I've been doing my doctorate at Frankfurt School since 2021. In my dissertation, I am investigating the influences of employee satisfaction, which employees disclose via social media, and their (financial) implications for companies. During my studies, I was able to gain relevant practical experience in the areas of corporate finance and controlling through my work at Siemens, Bosch and Horváth. In addition to my Master's degree in Business Analytics, I was able to further deepen my statistical methods and programming skills through further data science certificates (Johns Hopkins Data Science Specialization, Udacity Data Science Nanodegree etc.). In addition to my doctorate, I work as a research assistant at the Center for Performance Management & Controlling at Frankfurt School.

Academic track record

PhD at Frankfurt School of Finance - Dissertation in Social Finance

What you can learn from employees without speaking to them. Three essays on the electronic word of mouth of employees and its impact on the firm

Master of Science at University of Applied Sciences Düsseldorf - Master in Business Analytics

Predictive Performance of Value at Risk Models in Times of Financial Crises

Bachelor of Science at Technische Hochschule Nürnberg - Bachelor in Business Administration

Finding, Analysis and Realization of Working Capital Improvements with Business Analytics

Top publications

The Wisdom of Electronic Crowds - Employee Reviews as a Data Source in Finance, Accounting, Economics and Management Research: A Systematic Literature Review

European Accounting Association Annual Congress 2023

Putting the 'S' of ESG into Asset Pricing from a Frist-Hand Perspective. Employee Reviews and Stock Returns - Evidence from Germany, Austria, and Switzerland

European Accounting Association Annual Congress 2024

Nachhaltigkeit hält nur langsam Einzug ins Controlling

Controlling & Management Review

Skills and focus areas

FinanceAccountingInformation SystemsSystematic Literature ResearchRegression analyses including panel regressions (linear as well as GMM)Parametric statistical methodsNon-parametric statistical methodsSurvey ResearchMachine Learning (Trees, Forrests, XGBoost etc.)Deep Learning (CNNs, RNNs, FFNNs etc.)NLP (Basic Methods und Neural Networks)