Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

This module will develop your core econometrics skills. The first half of the module provides a grounding in key econometric techniques covering elements such as the classical linear regression model, ...

By avoiding black box construction, and large numbers of variables, the FTSE Russell financial conditions indicators allow ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

This is a preview. Log in through your library . Abstract We examine the second order properties of various quantities of interest in the partially linear regression ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

A semi-parametric generalization of the proportional hazards regression model is defined, whereby the hazard functions can cross for different values of the covariates. In the two-sample comparison, ...

Nanoparticles have diverse applications in modern science and industry, powering technologies like quantum-dot displays, nanocatalysts and drug delivery. Their unique physicochemical properties, which ...

Suropriya Saha and Ramin Golestanian from the department of Living Matter Physics at MPI-DS have now extended the model of non-reciprocal interactions. They investigated what would happen to the ...