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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp011544br53g
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dc.contributor.advisorWatson, Mark W.-
dc.contributor.authorCassard, Michel-
dc.date.accessioned2016-07-06T15:31:54Z-
dc.date.available2016-07-06T15:31:54Z-
dc.date.created2016-04-13-
dc.date.issued2016-07-06-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp011544br53g-
dc.description.abstractThis paper uses dynamic factor model estimation to create a novel index for US xed income nancial market liquidity. This liquidity measure spans the dimensions of liquidity and consider its dynamics. The index o ers insight into the current debate between policymakers and the private sector regarding the state of liquidity in US markets since the recent nancial crisis. The liquidity index depicts a new, lower liquidity level with higher liquidity volatility com- pared to pre-crisis, a result that had not been shown empirically before. The liquidity index is then incorporated into a large-scale factor augmented vector autoregressive model for US real and financial markets. This estimation offers some of the first quantitative insight into the relationship between liquidity and a rich set of US variables.en_US
dc.format.extent95 pages*
dc.language.isoen_USen_US
dc.titleUS Market Liquidity and Its Macroeconomic and Financial Implications: Constructing a Composite Liquidity Index Using Dynamic Factor Modelsen_US
dc.typePrinceton University Senior Theses-
pu.date.classyear2016en_US
pu.departmentEconomicsen_US
pu.pdf.coverpageSeniorThesisCoverPage-
Appears in Collections:Economics, 1927-2020

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