Martin Souchier

Martin Souchier
  • Assistant Professor of Finance

Contact Information

  • office Address:

    2318 Steinberg-Dietrich Hall
    3620 Locust Walk
    Philadelphia, PA 19104

Research Interests: Macroeconomics, Labor Markets, and Monetary Economics

Links: CV, Personal Website

Teaching

Past Courses

  • FNCE1010 - Monetary Econ & Glob Eco

    This is an intermediate-level course in macroeconomics and the global economy, including topics in monetary and international economics. The goal is to provide a unified framework for understanding macroeconomic events and policy, which govern the global economic environment of business. The course analyzes the determinants and behavior of employment, production, demand and profits; inflation, interest rates, asset prices, and wages; exchange rates and international flows of goods and assets; including the interaction of the real economy with monetary policy and the financial system. The analysis is applied to current events, both in the US and abroad. Students cannot receive credit for taking both FNCE 1010 and ECON 2200. Wharton students are required to take FNCE 1010.

  • FNCE9370 - Topics in Macro Finance

    This is an advanced course in quantitative theory applied to macro and finance models. It is intended for doctoral students in finance, economics and related fields. The course focuses on four broad theoretical literatures: (i) firm investment and growth; (ii) corporate, household and sovereign debt; (iii) asset pricing in general equilibrium; and (iv) equilibrium macro models with a financial sector. My approach is to develop and discuss in detail a unified framework that is suited to address most topics, usually covering a few central topics and the core papers. We then discuss the more recent literature, highlighting how authors combine and expand upon the core ideas. This part of the course usually relies on regular student presentations.

In the News

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In the News

Is Your AI System Ethical? Try This Assessment

The Prosocial AI Index offers business leaders a practical, auditable way to assess whether their AI systems are genuinely good, writes Wharton’s Cornelia Walther.…Read More

Knowledge @ Wharton - 2026/03/30
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