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Micro Data on Cross-Border Investments

September 28, 2020
by
Stanford Graduate School of Business
YouTube video player
Micro Data on Cross-Border Investments

TL;DR

Microdata analysis reveals that investors have a tendency to buy bonds denominated in their own currency, which explains patterns of cross-border investment.

Transcript

what i want to do in this session is actually dive into how one would actually use micro data to better understand global capital allocation and i'm going to do these do so mainly focusing in the context of my joint paper with brenton matteo international currencies and capital allocation and so mateo alluded to this idea um in his introductory ses... Read More

Key Insights

  • 💱 Investors display a home currency bias, favoring bonds denominated in their own currency.
  • 🔬 Foreign investors tend to avoid the local currency when investing in developed market economies.
  • 👻 Starting with a security-level dataset allows for a detailed examination of various factors impacting investment portfolios.
  • 🖐️ Currency plays a crucial role in determining the composition of global portfolios.
  • 👪 Home currency bias has significant implications for capital allocation across countries and firms.
  • 🏈 Foreign investors overwhelmingly buy bonds issued by American firms in U.S. dollars.
  • 😵 The microdata analysis highlights the importance of considering currency in understanding cross-border investment patterns.

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Questions & Answers

Q: What does the analysis reveal about the home currency bias of investors in international portfolios?

The analysis shows that investors have a tendency to buy bonds denominated in their own currency, resulting in a home currency bias in their portfolios.

Q: How does the analysis use microdata to understand the composition of international bond investment?

The analysis utilizes microdata from Morningstar, which provides individual portfolio holdings of mutual funds worldwide. This allows for a detailed examination of the securities held and their characteristics.

Q: What is the significance of starting with a security-level dataset in international macro research?

Starting with a security-level dataset provides researchers with the power to explore various factors driving aggregate patterns, such as currency composition, maturity, industry, underwriter, and market of issuance.

Q: How does the analysis demonstrate the relationship between currency and the amount of bonds an investor purchases?

The analysis runs a security-level regression to determine the influence of currency on bond purchases. The results show that securities issued in an investor's own currency are significantly more likely to be owned by that investor.

Summary & Key Takeaways

  • Microdata analysis focuses on the composition of international bond investment and highlights the importance of currency in shaping global portfolios.

  • Investors exhibit a strong home currency bias, tending to buy bonds denominated in their own currency.

  • The analysis shows that foreign investors overwhelmingly avoid the local currency when investing in developed market economies.


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