The Macro-Finance
ℹ️ Preface
The Macro-Finance: Theory and Empirical Methods module provides students with cutting-edge insights into the intersection of macroeconomics and financial markets. The course explores eight key topic areas: central bank communication and the role of expectations; high-frequency analysis of news, surprises, and financial reactions; data science applications for extracting information from financial texts; financial globalization and its implications for risk sharing and spillovers; international capital market integration; capital controls and their effectiveness; and unconventional monetary policy tools including quantitative easing and tightening. Throughout these topics, students engage with contemporary research methods and empirical evidence to understand how central bank policies, global financial linkages, and market mechanisms shape economic outcomes in an increasingly integrated world. The module takes a multidisciplinary approach, combining elements of monetary economics, financial economics, and data science to equip students with a comprehensive understanding of modern macro-financial dynamics.
Instructor
Fatih’s research primarily focuses on monetary policy, central bank communications, and empirical finance. He previously worked at the University of Warwick and taught at different places such as the Warwick Business School and the Bank of England.
Tentative Course Outline
- Central Bank Communication and the Role of Expectations: ~ Lecture 1
- High-frequency Analysis: News, Surprises and Financial Reactions: ~ Lecture 2-3
- Finance Meets Data Science: Extracting Information from Text: ~ Lecture 3-4
- Dancing Together: Financial Globalisation, Risk Sharing, and Spillovers: ~ Lecture 5
- International Capital Market Integration: ~ Lecture 6
- Capital Controls: ~ Lecture 7
- Quantitative Easing, Quantitative Tightening, and Beyond: ~ Lecture 8