We examine deal-level data on private equity transactions in the UK initiated during the period 1996 to 2004 by mature private equity houses. We un-lever the deal-level equity return and adjust for (un-levered) return to quoted peers to extract a measure of "alpha" or abnormal performance of the...

Using deal-level data from transactions initiated by large private equity houses, we find that the abnormal performance of deals is positive on average, after controlling for leverage and sector returns. Higher abnormal performance is related to improvement in sales and operating margin during...

We examine deal-level data from 395 private equity transactions in Western Europe initiated by large private equity houses during the period 1991 to 2007. We un-lever the deal-level equity return and adjust for un-levered return to quoted peers to extract a measure of abnormal performance of the...

We examine deal-level data on private equity transactions in the UK initiated during the period 1996 to 2004 by mature private equity houses. We un-lever the deal-level equity return and adjust for (un-levered) return to quoted peers to extract a measure of quot;alphaquot; or abnormal...

This paper draws attention to the limitations of the standard unit root/cointegration approach to economic and financial modelling, and to some of the alternatives based on the idea of fractional integration, long memory models, and the random field regression approach to nonlinearity. Following...

This paper explores the power of two tests for nonlinearity against spurious nonlinear regression. Results show that while the BDS test is susceptible to spuriousness, an approach introduced by Peña and Rodriguez [Peña, D. and Rodriguez, J., 2005, Detecting nonlinearity in time series by model...

Random field regression models provide an extremely flexible way to investigate nonlinearity in economic data. This article introduces a new approach to interpreting such models, which may allow for improved inference about the possible parametric specification of nonlinearity.