Dr. Yuxing Yan graduated from McGill University with a PhD in
finance. Over the years, he has been teaching various finance
courses at eight universities: McGill University and Wilfrid
Laurier University (in Canada), Nanyang Technological University
(in Singapore), Loyola University of Maryland, UMUC, Hofstra
University, University at Buffalo, and Canisius College (in the
US).
His research and teaching areas include: market microstructure,
open-source finance and financial data analytics. He has 22
publications including papers published in the Journal of
Accounting and Finance, Journal of Banking and Finance, Journal of
Empirical Finance, Real Estate Review, Pacific Basin Finance
Journal, Applied Financial Economics, and Annals of Operations
Research.
He is good at several computer languages, such as SAS, R, Python,
Matlab, and C.
His four books are related to applying two pieces of open-source
software to finance: Python for Finance (2014), Python for Finance
(2nd ed., expected 2017), Python for Finance (Chinese version,
expected 2017), and Financial Modeling Using R (2016).
In addition, he is an expert on data, especially on financial
databases. From 2003 to 2010, he worked at Wharton School as a
consultant, helping researchers with their programs and data
issues. In 2007, he published a book titled Financial Databases
(with S.W. Zhu). This book is written in Chinese.
Currently, he is writing a new book called Financial Modeling Using
Excel — in an R-Assisted Learning Environment. The phrase
"R-Assisted" distinguishes it from other similar books related to
Excel and financial modeling. New features include using a huge
amount of public data related to economics, finance, and
accounting; an efficient way to retrieve data: 3 seconds for each
time series; a free financial calculator, showing 50 financial
formulas instantly, 300 websites, 100 YouTube videos, 80
references, paperless for homework, midterms, and final exams; easy
to extend for instructors; and especially, no need to learn R.
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