About the Author
Yuxing Yan graduated from McGill University with a PhD in nance. Over the
years, he has been teaching various nance 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 nance
and nancial 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, Pacic 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 nance:
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 nancial 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 nancial modeling. New features include
using a huge amount of public data related to economics, nance, and accounting;
an efcient way to retrieve data: 3 seconds for each time series; a free nancial
calculator, showing 50 nancial formulas instantly, 300 websites, 100 YouTube
videos, 80 references, paperless for homework, midterms, and nal exams; easy to
extend for instructors; and especially, no need to learn R.
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