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Home Bias in Emerging Bond and Stock Markets

Authors
Kim, Byoung JoonYun, Young SupCin, Beom CheolKim, YoungJun
Issue Date
7월-2014
Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
Keywords
dynamic panel data regression models; flight to quality; home bias; informational asymmetries; return chasing
Citation
EMERGING MARKETS FINANCE AND TRADE, v.50, no.4, pp.95 - 124
Indexed
SSCI
SCOPUS
Journal Title
EMERGING MARKETS FINANCE AND TRADE
Volume
50
Number
4
Start Page
95
End Page
124
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/97999
DOI
10.2753/REE1540-496X500406
ISSN
1540-496X
Abstract
In this paper, we empirically examine sizes and sources of home bias in both bond and equity markets for twenty emerging countries and twenty-two developed countries over the 2001-11 sample period. The average size of home bias in both bond and stock markets is found to be much larger in emerging countries than in developed countries. Using the explanatory variables in two categories of economic development and market performance, we employ dynamic panel data regression models to analyze major sources of home bias. The main results are the following: First, market performance factors generally affect home bias more strongly than do economic development factors. Second, market factors including market return, volatility, and liquidity support various hypotheses under informational asymmetries, such as return chasing, risk aversion, and flight to quality. Third, among macroeconomic factors, it is shown that real gross domestic product growth has negative effects and country leverage has positive effects on a specific home bias, backing up the size-bias and the flight-to-quality hypotheses, respectively. Finally, and perhaps most important in this paper, the effect of bond market performance on equity home bias is found to be significantly stronger than the effect of equity market performance on bond home bias from the market interaction model estimation, suggesting that a policy design needs to begin with increasing bond market efficiency to reduce equity market home bias.
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