High-frequency traders and microstructure researchers must account for delays in published information; index and ``index plus'' fund managers pay liquidity costs when indices change; and, debt markets quote weighted-average metrics for loan portfolios and are concerned with prepayments and defaults. I consider statistical models for data delays; and, I propose metrics for similar waiting time risks: index-deletion, prepayment, and default. Using standard assumptions, these all may be nearly gamma-distributed. Small-sample density approximations are shown to be consistent under mild conditions. Finally, I discover an improved version of a metric currently used in rating CDOs.
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
8556.
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