Forecasting is a common data science task that helps organizations with capacity planning,
goal setting, and anomaly detection. Despite its importance, there are serious challenges …

… Taylor was diagnosed with terminal cancer. He continued to contribute to and guide this
edition of Introduction to Qualitative Research Methods to the end. We dedicate this book to him …

Diffusion models for volatility have been used to price options while ARCH models
predominate in descriptive studies of asset volatility. This paper compares a discrete‐time …

This book contains several innovative models for the prices of financial assets. First published
in 1986, it is a classic text in the area of financial econometrics. It presents ARCH and …

The use of polymer-supported reagents and scavengers provides an attractive and practical
method for the clean and efficient preparation of novel chemical libraries with potential …

Recent increases in suicide rates internationally have focused attention on suicide as an
important area of public health concern. In this review, strategies developed by various …

Our society is increasingly relying on the digitized, aggregated opinions of others to make
decisions. We therefore designed and analyzed a large-scale randomized experiment on a …

The information content of implied volatilities and intraday returns is compared, in the context
of forecasting index volatility over horizons from 1 to 20 days. Forecasts of two measures of …

MANY hormones, neurotransmitters and growth factors, on binding to G protein-coupled
receptors or receptors possessing tyrosine kinase activity, increase intracellular levels of the …

… Moving beyond purely theoretical models, Stephen Taylor applies methods supported by …
Stephen Taylor provides a comprehensive introduction to the dynamic behavior of asset …