Daehwan Kim is a professor in the Department of Economics at Konkuk University, South Korea. His teaching and research interest is in the area of asset pricing, international finance, monetary economics, and applied microeconomics. He is a co-author of Quantitative Equity Portfolio Management: An Active Approach to Portfolio Construction and Management (McGraw Hill Library of Investment and Finance). Previously, he taught at American University in Bulgaria and worked for First Private Investment Management in Frankfurt, Germany. He has the experience of advising hedge funds and investment companies, and occassionally engages in consulting work for public entities as well. He holds a BA from Seoul National University and a PhD from Harvard University.
Period of affiliation:
2022 - 2023
Department of Economics at Konkuk University
The goal of my project is to understand the cross-country differences in the wealth-income ratio, a ratio of national wealth to GDP. Understanding the wealth-income ratio is important for three reasons: First, it is an indicator of the unequal distribution of wealth within a country and is highly relevant to the ongoing academic and policy discussion of inequality. Second, it is an indicator of the existence of a financial market bubble, an intensely debated topic in recent years given the rapidly rising asset prices in many advanced and developing economies. Third, it is closely related to the share of labor income, an important dimension of how national income is distributed across different actors. I aim to improve the existing analysis of the wealth-income ratio and to present a more satisfactory explanation of, among other things, the cross-country differences in the wealth-income ratio, the role of policies and institution, and the share of housing and other real-estate wealth. My analysis will be both theoretical and empirical. My empirical analysis will utilize data from international organizations and also from other individual researchers who have compiled and published related data online.