Liquidity commonality and risk management

dc.contributor.authorSupper, Hendrik
dc.contributor.authorWeiß, Gregor N.F.
dc.date.accessioned2012-03-07T10:13:13Z
dc.date.available2012-03-07T10:13:13Z
dc.date.issued2012-03-07
dc.description.abstractWe propose to model the joint distribution of bid-ask spreads and log returns of a stock portfolio by using Autoregressive Conditional Double Poisson and GARCH processes for the marginals and vine copulas for the dependence structure. By estimating the joint multivariate distribution of both returns and bid-ask spreads from intraday data, we incorporate the measurement of commonalities in liquidity and comovements of stocks and bid-ask spreads into the forecasting of three types of liquidity-adjusted Value-at-Risk (L-IVaR). In a preliminary analysis, we document strong extreme comovements in liquidity and strong tail dependence between bid-ask spreads and log returns across the firms in our sample thus motivating our use of a vine copula model. Furthermore, the backtesting results for the L-IVaR of a portfolio consisting of five stocks listed on the NASDAQ show that the proposed models perform well in forecasting liquidity-adjusted intraday portfolio profits and losses.en
dc.identifier.urihttp://hdl.handle.net/2003/29380
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-4178
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB 823 ; 09/2012en
dc.subjectcommonalityen
dc.subjectliquidityen
dc.subjectliquidity-adjusted intraday Value-at- Risken
dc.subjectvine copulasen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleLiquidity commonality and risk managementen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access

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