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William L. Griever
Researcher at Federal Reserve System
Publications - 6
Citations - 1083
William L. Griever is an academic researcher from Federal Reserve System. The author has contributed to research in topics: Unit investment trust & Investment banking. The author has an hindex of 6, co-authored 6 publications receiving 1048 citations. Previous affiliations of William L. Griever include Government of the United States of America.
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Information costs and home bias: an analysis of US holdings of foreign equities
TL;DR: In this article, the authors test the home bias in equity holdings using high quality cross-border holdings data and quantitative measures of barriers to international investment and find that countries whose firms do not alleviate information costs by opting into the US regulatory environment are more severely underweighted in US equity portfolios.
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Information costs and home bias: an analysis of U.S. holdings of foreign equities
TL;DR: In this paper, the authors explore the role of information costs in determining the country distribution of U.S. investors' equity holdings using a comprehensive new data set on U. S. ownership of foreign stocks.
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The U.S. System for Measuring Cross-Border Investment in Securities: A Primer with a Discussion of Recent Developments
TL;DR: In this article, the authors look at how well the data shed light on these topics and the implications of the design of the system for data analysis, as well as anticipated changes to the system and international efforts to improve data collection systems worldwide.
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Understanding U.S. Cross-Border Securities Data
TL;DR: In this paper, the authors present current data on U.S. cross-border securities holdings and transactions and describe the system that collects the data and discuss how to make the best use of the information available by avoiding common misinterpretations of the data.
Journal ArticleDOI
The U.S. System for Measuring Cross-Border Investment in Securities: A Primer with a Discussion of Recent Developments
TL;DR: In this paper, the authors look at how well the data shed light on these topics and discuss the design of the system's design and the implications of the design for data analysis, as well as anticipated changes to the system and international efforts to improve data collection systems worldwide.