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Advanced Cash Flow Forecasting: Statistical Techniques

Virtual Seminar


Wednesdays, June 26, 2019 - July 10, 2019
2:00 PM - 4:00 PM Eastern Standard Time

$650 | $750
Management Services
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Statistical techniques provide extremely helpful tools for forecasting future cash flows. This seminar uses practical examples to show how various statistical methods can be used to forecast components of the cash budget. The advantages and disadvantages of each technique are discussed. The majority of the seminar covers the practical application of statistical methods using Excel; interpretation of the results is emphasized.

Learning Objectives

  • Apply univariate statistics to forecast cash flow components

  • Use time-series methods and smoothing techniques to forecast

  • Apply regression analysis to forecast components of the cash budget

  • Learn how to assess the adequacy of the cash flow forecast


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Bill Hu, PhD, CFA, CTP
Professor of Finance, Arkansas State University
As a recipient of the Excellence in Teaching award from the Neil Griffin College of Business at ASU, Dr. Hu keeps his classes current and relevant by reaching out to the finance industry onsite and online covering topics such as Revenue Forecasting, Financial Modeling, Integrated Financial Statements, Data Analytics and Visualization, Simulations, Big Data, and Excel. Over the years, he has trained thousands of finance professionals on these topics.

Dr. Hu's research includes pricing strategies, market microstructure, behavioral finance, etc. When writing doctoral essays in 2008, Dr. Hu applied machine learning (ML) to classify stock spam emails and disseminated the impacts of spam messages on financial markets in multiple research papers. Recently, he has started projects related to cryptocurrencies. Prior to the study of finance, Dr. Hu was a nanotechnologist and had a variety of scholarly articles and patents in the field of chemistry.