Vorlesungsverzeichnis

Suchen Sie hier über ein Suchformular im Vorlesungsverzeichnis der Leuphana.

Veranstaltungen von Prof. Dr. Henning Schröder


Lehrveranstaltungen

Masterforum Management & Sustainable Accounting and Finance (Kolloquium)

Dozent/in: Rainer Lueg, Henning Schröder

Termin:
Einzeltermin | Fr, 18.04.2025, 14:15 - Fr, 18.04.2025, 17:45 | C 6.320 Seminarraum | | LUEG
Einzeltermin | Fr, 11.07.2025, 10:15 - Fr, 11.07.2025, 13:45 | C 12.108 Seminarraum | | SCHROEDER / C12.108

Quantitative Research Methods - Übung für Management & Sustainable Accounting and Finance (Übung)

Dozent/in: Henning Schröder

Termin:
wöchentlich | Dienstag | 10:15 - 13:45 | 24.05.2025 - 11.07.2025 | C 14.001 Seminarraum

International Finance (Seminar)

Dozent/in: Henning Schröder

Termin:
wöchentlich | Donnerstag | 14:15 - 15:45 | 07.04.2025 - 11.07.2025 | C 6.316 Seminarraum

Inhalt: This course introduces the fundamentals of international financial management, exploring issues that multinational firms face and how they make international financial decisions. From an investor’s perspective, currencies as well as international equity and bond markets represent opportunities that complement domestic investments. The focus is on concepts in financial decision making with an emphasis on both theoretical foundations and practical applications. The aim of the course is to provide students with solid knowledge about international finance, enabling them to understand and evaluate financial decisions in an international context. Course content: Block 1: Foreign Exchange Market and Risks - FX Market Structure, Forward Markets, and Exchange Rate Systems - International Parity Conditions - Exchange Rate Determination, Transaction Risk, and Forecasting Exchange Rates Block 2: International Capital Markets & Investments - International Debt Markets - International Equity Markets and International Diversification Foreign Currency Options Block 3: International Corporate Finance - International Capital Budgeting - Risk Management

Bachelor-Kolloquium Management & Sustainable Accounting and Finance (Seminar)

Dozent/in: Rainer Lueg, Henning Schröder

Termin:
Einzeltermin | Fr, 11.04.2025, 14:15 - Fr, 11.04.2025, 18:30 | C 12.015 Seminarraum | | LUEG
Einzeltermin | Fr, 04.07.2025, 10:00 - Fr, 04.07.2025, 14:15 | C 7.013 Seminarraum | Schröder

Quantitative Research Methods - additional tutorial (Vorlesung)

Dozent/in: Henning Schröder, Laura Venz

Termin:
wöchentlich | Dienstag | 12:15 - 13:45 | 07.04.2025 - 24.05.2025 | C 14.006 Seminarraum | --

Inhalt: The module Quantitative Research Methods deals with the theoretical background and statistical analyses necessary to understand quantitative approaches in management research. Specifically, the course deals with measurement and statistical analysis of numerical data, including deductive hypothesis testing, modeling linear relationships, and multivariate analysis. This course has the following aims:  1) It will help students to grasp the importance of quantitative methods in management research.  2) It will give students the opportunity to understand the links between the statistical background and its practical implementation.  3) It will offer students the possibility to acquire basic knowledge in statistical analysis 4) It will provide students with the opportunity to understand, design and implement quantitative research methods. LECTURE CONTENT --- Building a Quantitative Research Model: Theory utilization and research models (“conceptualization”), quantitative research designs ("procedure"), and variable measurement (“operationalization”) Analyzing a Quantitative Research Model: Linear Models including moderation, mediation and their combination Research Ethics and Open Science Understanding and Evaluating Quantitative Research Papers --- EXERCISES Apply the concepts from the lecture to real-world research models, data, and publications. --- ADDITIONAL TUTORIAL Module premise: Assumes students have a Master's degree with relevant prior knowledge. Reality check: Experience shows that some students may lack certain foundational knowledge. Course limitation: It is not possible to cover all gaps during the course. Additional support: Voluntary tutorials offered during the first half of the semester. Flexible topics: Tutorials will be adjusted based on students needs. Student involvement: Students are encouraged to share topic requests for upcoming tutorials.

Empirical Research Design and Causal Inference: Applications and Reflections (Seminar)

Dozent/in: Henning Schröder

Termin:
wöchentlich | Mittwoch | 10:15 - 11:45 | 07.04.2025 - 11.07.2025 | C 6.317 Seminarraum

Inhalt: The course aims to introduce students to empirical research methods and applied data analysis. It will help participants to better understand common empirical research designs frequently applied in the field social sciences. Specifically, the course discusses how these methods are used in top-tier research papers and provides an introduction on how to apply the discussed methods to real-world archival data using statistical software. The first part of the course reviews econometric fundamentals and introduces students to the widely used statistical software STATA (available via a Campus license). In the second part of the course the focus will be on endogeneity issues, causal inference, and empirical identification strategies. The course is well suited for students who want to work with archival data in future research projects or during their master thesis. Participants should have at least a basic knowledge in statistics. However, this course will not resemble the statistics courses students might have taken. Instead, the course is designed to be more hands-on and discussion-oriented. The goal is to demystify the key concepts and fundamentals of modern empirical analysis, to provide practical skills, and to encourage students to develop their own empirical research projects.