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Michael McDonald is a researcher and professor of finance at Fairfield University. He has extensive programming skills in SAS, Stata, Python, R, and SQL, among other programming languages. His past work experience includes using these programming languages to analyze big data sets in finance and economics and develop trading strategies based on data mining. He has done extensive work in investment banking, at tech startups, hedge funds, and on a wide variety of consulting projects. He has a track record of authoring creative and practical course materials for a variety of subject areas across business disciplines.
Michael's core knowledge is focused on financial markets and investment decision-making. He has helped advise firms on capital investments, valuation issues, and capital allocation to enhance business strategy. He is the author of multiple research studies addressing complex questions across the finance discipline. Michael's work has been cited by the Wall Street Journal, Bloomberg, the CFA Institute, and many others.