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Information and capital flows: The determinants of transactions in financial assets

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TLDR
In this paper, the authors show that a gravity model explains international transactions in financial assets at least as well as goods trade transactions, and support the hypothesis that informational asymmetries are responsible for the strong negative relationship between asset trade and distance.
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This article is published in European Economic Review.The article was published on 2001-05-01 and is currently open access. It has received 468 citations till now. The article focuses on the topics: Asset (economics) & Gravity model of trade.

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Book ChapterDOI

Gravity Equations: Workhorse,Toolkit, and Cookbook

TL;DR: In this article, the estimation and interpretation of gravity equations for bilateral trade is discussed, and several theory-consistent estimation methods are presented. But the authors argue against sole reliance on any one method and instead advocate a toolkit approach.
Journal ArticleDOI

The determinants of cross-border equity flows

TL;DR: In this paper, the authors explore a new panel data set on bilateral gross cross-border equity flows between 14 countries, 1989-1996, and show that a "gravity" model explains international transactions in financial assets at least as well as goods trade transactions.
Journal ArticleDOI

The Determinants of Cross-Border Equity Flows

TL;DR: The authors applied a new approach to a new panel data set on bilateral gross cross-border equity flows between 14 countries, 1989-96, and found that the geography of information heavily determines the pattern of international transactions.
Posted Content

Information Immobility and the Home Bias Puzzle

TL;DR: In this article, the authors model investors, endowed with a small home information advantage, who choose what information to learn before they invest, and find that even when home investors can learn what foreigners know, they choose not to: Investors profit more from knowing information others do not know.
Journal ArticleDOI

Information Immobility and the Home Bias Puzzle

TL;DR: In this paper, the authors model investors, endowed with a small home information advantage, who choose what information to learn before they invest, and find that even when home investors can learn what foreigners know, they choose not to: Investors profit more from knowing information others do not know.
References
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Book

The Microstructure Approach to Exchange Rates

TL;DR: In this paper, the authors focus on the economics of financial information and how microstructure tools help to clarify the types of information most relevant to exchange rates, and show how exchange-rate behavior previously thought to be particularly puzzling can be explained using the micro-structure approach.
Journal ArticleDOI

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.
Journal ArticleDOI

Financial super-markets: size matters for asset trade

TL;DR: In this article, the authors present a two-country model with an endogenous number of financial assets, where the interaction of a risk diversification motive and market segmentation explains those facts.
Posted Content

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.
Journal ArticleDOI

The Geography of Equity Listing: Why Do European Companies List Abroad?

TL;DR: In this article, the aggregate trends in the foreign listings of companies and analyzes both their distinctive pre-listing characteristics and their postlisting performance relative to other companies are analyzed and the cross-listings of European companies appear to have sharply different motivations and consequences depending on whether they crosslist in the United States or within Europe.
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Frequently Asked Questions (8)
Q1. What are the contributions in "Information and capital #ows: the determinants of transactions in "nancial assets" ?

The authors show that a gravity model explains international transactions in `` nancial assets at least as well as goods trade transactions. The authors strengthen it by investigating the roles of explicit informational variables, as well as distance, in explaining separately cross-border trade in corporate equities, corporate bonds, and government bonds. 

In future work, the authors plan to extend this analysis to cross-border bank loans and to foreign direct investment. The authors will also investigate the determinants of asset holdings in order to compare them with their results on # ows, so that a coherent theory of asset trade can be constructed which should take full account of the viscosities of the so-called global international capital market. 

The overall goodness of "t of these regressions is remarkably strong } with four explanatory variables, the authors are capturing 70% of the variance of transactions #ows in the pooled regressions, and the &between' R s are 0.84 and 0.86. 

Their measure of the foreign country's "nancial wealth is the sum of the market capitalization of its equity, bond markets and bank claims. 

Another relevant type of information for investors may be of a more strictly "nancial nature: how liquid is the market, who are the other investors participating, or what are the covariances of the assets. 

One consequence of using the dummy variables for each year is that the authors cannot use US "nancial wealth as a second scale variable, because the year dummies will absorb its e!ect. 

The elasticity of the volume of transactions by foreigners in US stock markets with respect to the total US stock market capitalization is very close to unity. 

This is the only case so far in their work where distance appears not to be signi"cant (except in column (1)) } indeed, it takes a positive coe$cient in the regressions with telephone tra$c, which however appears fairly strongly.