What This Document Is
This document serves as a detailed introduction and overview for FIN 620: Empirical Methods in Finance, offered at Washington University in St. Louis. It’s designed to orient students to the course’s structure, objectives, and expectations. It outlines the instructor’s background and research interests, and provides a roadmap for navigating the semester’s learning journey within the field of financial econometrics. The material focuses on applying quantitative techniques to real-world financial questions.
Why This Document Matters
This resource is crucial for any student enrolled in, or considering enrollment in, FIN 620. It’s best reviewed *before* the first class to gain a foundational understanding of the course’s demands and to begin preliminary preparation. It’s also a valuable reference throughout the semester for clarifying expectations regarding assignments, presentations, and the overall course grading scheme. Students interested in advanced financial modeling and empirical analysis will find this particularly helpful.
Common Limitations or Challenges
This document provides a high-level overview and does *not* contain the specific econometric techniques or detailed analyses that will be covered in lectures and readings. It doesn’t include solutions to exercises, the content of assigned research papers, or the full details of the in-class exam. It’s a guide to *what* will be learned, not *how* to learn it. Access to the full document is required to obtain the specifics of course policies and detailed assignment instructions.
What This Document Provides
* An introduction to the instructor’s academic background and research focus.
* A clear articulation of the course’s overarching learning objectives.
* An outline of the course’s three-pronged pedagogical approach (lectures, readings, exercises).
* A comprehensive overview of required and recommended reading materials.
* Details regarding study group formation and in-class presentation requirements.
* A breakdown of the course’s grading components and their respective weightings.
* Information about optional data exercises and available resources.
* Guidelines for student presentations, including time limits and content expectations.
* A description of the participation component and associated requirements.