In the ever-evolving landscape of capital infrastructure projects, government agencies find themselves performing an intricate dance. The heightened focus on the timely and budget-conforming ...

When asked about his team's prospects for the upcoming baseball season, Yogi Berra supposedly replied, "It's tough to make predictions, especially about the future." The same can be said about ...

This paper examines the feasibility of rule-based forecasting, a procedure that applies forecasting expertise and domain knowledge to produce forecasts according to features of the data. We developed ...

Time series forecasting is a powerful machine learning method that leverages historical time-stamped data to predict future events and help reduce uncertainty from business conditions — for ...

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 ...

Various statistical forecasting methods exist designed for use with slow-moving products, new product introductions, stable mature products and products with erratic demand. Determining which ...

The aim of this paper is to investigate the performance of the Phillips curve to forecast inflation in a high inflation emerging market country by taking Turkey as a case. For this purpose, we compare ...

As you will see, there are many techniques available for forecasting purposes, which makes it difficult for people to select the most appropriate technique. In fact, there is rarely one best technique ...