We proposed a method to estimate extreme conditional quantiles by combining quantile GARCH model of Xiao and Koenker (2009) and extreme value theory (EVT) approach. We first estimate the latent volatility process using the information of intermediate quantiles. We then apply EVT to the tail...

This note shows that the asymptotic variance of Chen’s [Chen, S., 2002. Rank estimation of transformation models. Econometrica 70 (4) 1683–1697] two-step estimator of the link function in a linear transformation model depends on the first-step estimator of the index coefficients.

We study the identification of a mixed proportional hazard model with lagged duration dependence when data provide multiple outcomes per stratum. Within strata variation is exploited to non-parametrically identify lagged duration dependence in more general models than in the literature.

In the aftermath of the financial crisis, this study investigates which underlying determinants cause bank rating transitions. We develop survival analysis models to explain credit transition hazards using macroeconomic factors and the rating history. We find that there exists a significant...

This paper investigates the Estimating Function method in the context of ACD modelling and appraises the properties of these estimates. A simulation study is conducted to demonstrate that these estimates are more efficient than the corresponding ML and QML estimates.

This paper uses quantile regression techniques to investigate the temporal dependence patterns of major exchange rates around the globe. Specifically, we estimate quantile autoregressive models for daily exchange rate returns of the USD/EUR, USD/JPY, USD/GBP, USD/AUD, USD/CHF and USD/CAD...

We investigate the impact of monetary conditions on stock market returns at different points on the return distributions. Our results reveal no association between stock returns and monetary environments at the lower quantiles. At the upper quantiles, however, we find that expansive monetary...

The causality between the real estate and stock markets of China remains a mystery in the literature. This paper investigates the non-linear causal relationship between real estate property and stock returns in China from the perspective of conditional quantiles. The results of the quantile...

Studies investigating the link between public employment and earnings inequality based on micro data typically make use of conditional quantile regressions. Such analysis reveals why earnings may be more or less dispersed among public-sector than private-sector workers, but does not allow...