In quantitative risk management, it is important and challenging to find sharp bounds for the distribution of the sum of dependent risks with given marginal distributions, but an unspecified dependence structure. These bounds are directly related to the problem of obtaining the worst...

I compare the performance of the index-based time series approach and the cross-sectional approach in estimating factor loadings of non-traded assets, and show that the latter likely provides less biased and more efficient estimates. I then use the cross-sectional approach to estimate the...

If realized house prices have the wealth effect and the collateral effect on the economy, anticipated house price changes should have similar economic effects. This paper empirically analyzes the effects of single family home sales, which are shown to be able to predict house prices in the...

Home value risk is among the largest financial risks for American households, and the distribution of home value risk across homeowners has important policy implications. This paper empirically examines spatial variation in home value risk across 99 neighborhoods in metropolitan Denver. Four...

The influence of nanoparticles (NP) on the accumulation of heavy metals in the paddy crust (PC) was unclear. This experiment explored the potential effects and mechanism of TiO2 NP with different particle sizes on Cd removal by PC from waterbody. All the TiO2 with size of 25 nm (T25), 100 nm...

We evaluate the effects of data dimension on the asymptotic normality of the empirical likelihood ratio for high-dimensional data under a general multivariate model. Data dimension and dependence among components of the multivariate random vector affect the empirical likelihood directly through...

In this paper we derive the asymptotic normality and a Berry-Esseen type bound for the kernel conditional density estimator proposed in Ould-Saïd and Cai (2005) [26] when the censored observations with multivariate covariates form a stationary [alpha]-mixing sequence.