2017
DOI: 10.17016/ifdp.2017.1201
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International Illiquidity

Abstract: We build a parsimonious international asset pricing model in which deviations of government bond yields from a fitted yield curve of a country measure the tightness of investors' capital constraints. We compute these measures at daily frequency for six major markets and use them to test the modelpredicted effect of funding conditions on asset prices internationally. Global illiquidity lowers the slope and increases the intercept of the international security market line. Local illiquidity helps explain the var… Show more

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Cited by 10 publications
(8 citation statements)
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References 45 publications
(86 reference statements)
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“…This is consistent with the mechanism whereby higher funding costs raise limits of arbitrage. In line with results in Malkhozov et al (2016), we find that the index for the US, UK, Canada, Germany and Switzerland are highly correlated. By contrast, the relative value index for the bond market in France and Italy diverged from that of other countries during the euro area sovereign crisis.…”
Section: Introductionsupporting
confidence: 90%
“…This is consistent with the mechanism whereby higher funding costs raise limits of arbitrage. In line with results in Malkhozov et al (2016), we find that the index for the US, UK, Canada, Germany and Switzerland are highly correlated. By contrast, the relative value index for the bond market in France and Italy diverged from that of other countries during the euro area sovereign crisis.…”
Section: Introductionsupporting
confidence: 90%
“…They find a commonality between illiquidity return premia across countries after controlling for other firm effects, which is not driven by and is distinct from variations in the level of global illiquidity. Malkhozov et al (2017) construct country-specific illiquidity indices from pricing deviations on government bonds, which demonstrate a high cross-correlation. Nevertheless, the measures show a pronounced idiosyncratic behavior, especially during country-specific political or economic events.…”
Section: (Il)-liquidity and Returnsmentioning
confidence: 99%
“…(), Huang, Lou, and Polk (), Novy‐Marx (), Boguth and Simutin (), and Malkhozov et al. () examine aspects of the betting‐against‐beta strategy. Dozens of funds have also been set up to take advantage of the low‐beta and closely related low‐volatility anomalies (see, for example, “Beat the Market—With Less Risk,” The Wall Street Journal , October 1, 2011, and “High Hopes for ‘Low Volatility’ Funds,” The Wall Street Journal , April 6, 2014).…”
mentioning
confidence: 99%