In the summer of 2006, U.S. national home price peaked, and simultaneously the U.S. home ownership rate also reached its highest level in history. Ever since then, the U.S. home ownership rate has shown steady decline, as some households are foreclosed out of their homes, and some households are...

During the recent housing recession and financial crisis, mortgage modification has been heavily promoted by government as a way to stabilize the housing and the national banking systems. Numerous programs, such as the Home Owners Preserving Equity (HOPE), Home Affordability Modification Program...

This paper examines real property tax as a determinant of tenure choice. The analysis is conducted in two stages. First, parameter estimates for a reduced-form homeownership model are obtained through multivariate analysis of data drawn from the U.S. Survey of Income and Program Participation...

Exploiting the intelligent stimuli-responsive fluorescent materials, which can selectively recognize lysozyme in fingerprints and enable high-contrast imaging, is still a challenge in detecting latent fingerprints (LFPs). Herein, aptamer functionalization and high-contrast reversible dual-color...

With increasing renewable energy penetration and the extension of the power system scale, accurate electricity price prediction has long become a challenging task. The complexity of electricity market information, insufficient model training, and the lack of model generalization ability limit...

Using a novel data set based on individual resumes of public firm employees, we propose a monthly index of aggregate labor flow that measures the dynamics of firm employment. We find that the index can predict the economic outputs significantly: an increase in the index leads to greater...

We examine the clustering behaviour of price and variance jumps using high-frequency data, modelled as a marked Hawkes process embedded in a bivariate jump-diffusion model. After de-periodisation of the intraday data, we find that the jumps of both individual stocks and a broad index exhibit...

Problem definition: Observing the retail industry inevitably evolving into omnichannel, we study an offline-channel planning problem that helps an omnichannel retailer make store location and location-dependent assortment decisions in its offline channel to maximize profit across both online and...