2019
DOI: 10.5089/9781484393161.001
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Nonresident Capital Flows and Volatility

Abstract: Malaysia's local currency debt market is one of the most liquid public debt markets in the world. In recent years, the growing share of nonresident holders of debt has been a source of concern for policymakers as a reason behind exchange rate volatility. The paper provides an overview of the recent developments in the conventional debt market. It builds an empirical two-stage model to estimate the main drivers of debt capital flows to Malaysia. Finally, it uses a GARCH model to test the hypothesis that nonresi… Show more

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Cited by 4 publications
(4 citation statements)
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“…The negative coefficient on VIX or FCI highlights the hot money nature of these portfolio flows and their susceptibility to exogenous factors (Models 3–5). This result is in line with Grigorian (2019) for Malaysia and Arslanalp and Tsuda (2015) who suggest that benchmark‐driven investors, who constitute a larger share of global portfolio flow decisions, are mostly sensitive to global shocks and less so to country‐specific factors.…”
Section: The Model Methods and Resultssupporting
confidence: 88%
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“…The negative coefficient on VIX or FCI highlights the hot money nature of these portfolio flows and their susceptibility to exogenous factors (Models 3–5). This result is in line with Grigorian (2019) for Malaysia and Arslanalp and Tsuda (2015) who suggest that benchmark‐driven investors, who constitute a larger share of global portfolio flow decisions, are mostly sensitive to global shocks and less so to country‐specific factors.…”
Section: The Model Methods and Resultssupporting
confidence: 88%
“…Using monthly data over 2007M1–2019M1, we specify the following equation: foreignholdings=ffalse(domestic,globalfalse)where the dependent variable represents foreign holdings of debt and/or equity, regressed on domestic and global variables. Similar independent variables, especially global factors, have been used in the literature (Bae, 2012; Baldacci, Gupta, & Mati, 2008; Grigorian, 2019; Koepke, 2018; Konopczak, 2015; Rey, 2015; Senga et al, 2018). Domestic factors include the rate of return on NTBs, Nigeria country specific risk (measured by ICRG risk index as explained above), measure of exchange rate pressure (12 months NDF and spread between Bureau de Change (BDC)‐official exchange rate) and a dummy representing the introduction of the I&E window.…”
Section: The Model Methods and Resultsmentioning
confidence: 99%
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