Publication:
Essays on market liquidity and monetary policy

dc.contributor.advisor Panchenko, Valentyn en_US
dc.contributor.author Rai, Alan en_US
dc.date.accessioned 2022-03-21T12:04:53Z
dc.date.available 2022-03-21T12:04:53Z
dc.date.issued 2013 en_US
dc.description.abstract The first essay examines the ability of financial market illiquidity to predict key Australian and U.S. macroeconomic variables. I analyse whether illiquidity's predictive ability is state-contingent, drawing on recent theoretical work on the potential for a state-contingent relationship. Using a Markov regime switching model, I uncover strong evidence that the predictive power of illiquidity is state-contingent, with much higher predictability in states associated with historical periods of economic and financial stress. Furthermore, economic growth forecasts from Markov regime switching models that include market liquidity in the set of predictor variables are statistically better than forecasts from Markov switching models that exclude market liquidity. Gorton and Metrick (2010, 2011) argue that a run on the repo market played a key role in the collapse of shadow banks, while Krishnamurthy, Nagel and Orlov (2011) argue the collapse was chiefly due to a run on asset-backed commercial paper (ABCP). In order to assess the validity of these arguments, the second essay empirically examines the link between market liquidity and funding liquidity in various U.S corporate bond markets. Over the entire 2005-09 sample period, I find weak evidence of predictive ability among these variables. Where significant, repos are found to have higher predictive ability than ABCP. In addition, unsecured funding liquidity is found to have as much predictive ability as repos. These findings partially support Gorton and Metrick (2010, 2011), but do not support Krishnamurthy et al. (2011). I also find that the relationship between market liquidity and funding liquidity is state-contingent, a finding which supports the theoretical literature on the existence of nonlinear, regime-switching behaviour. The final essay assesses the impact, on credit market spreads, of the various unconventional policies introduced by the U.S. Federal Reserve, between mid-2007 and early 2009. I also examine the impact of fiscal policies announced during this period, as well as the stance of conventional monetary policy. I find that fiscal policy announcements exerted a significant and destabilising influence on market spreads. Furthermore, while the multitude of unconventional monetary policy initiatives were effective in reducing market spreads, the efficacy of these policies was undermined by the Federal Reserve's inability to achieve its macroeconomic objectives. en_US
dc.identifier.uri http://hdl.handle.net/1959.4/52432
dc.language English
dc.language.iso EN en_US
dc.publisher UNSW, Sydney en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/au/ en_US
dc.subject.other Bond spreads en_US
dc.subject.other Asset-backed commercial paper en_US
dc.subject.other Bid-ask spread en_US
dc.subject.other Federal Funds rate en_US
dc.subject.other London interbank offered rate en_US
dc.subject.other Monetary policy en_US
dc.subject.other Regime switching en_US
dc.subject.other Sale and repurchase agreement en_US
dc.subject.other Trading volume en_US
dc.subject.other Vector autoregression en_US
dc.subject.other Fiscal policy en_US
dc.subject.other Taylor rule en_US
dc.title Essays on market liquidity and monetary policy en_US
dc.type Thesis en_US
dcterms.accessRights open access
dcterms.rightsHolder Rai, Alan
dspace.entity.type Publication en_US
unsw.accessRights.uri https://purl.org/coar/access_right/c_abf2
unsw.identifier.doi https://doi.org/10.26190/unsworks/15968
unsw.relation.faculty Business
unsw.relation.originalPublicationAffiliation Rai, Alan, Economics, Australian School of Business, UNSW en_US
unsw.relation.originalPublicationAffiliation Panchenko, Valentyn, Economics, Australian School of Business, UNSW en_US
unsw.relation.school School of Economics *
unsw.thesis.degreetype PhD Doctorate en_US
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