Editing Chartered Financial Analyst (section)

===Quantitative methods===
This topic area is dominated by [[statistics]]: the topics are fairly broad, covering [[probability theory]], hypothesis testing, (multi-variate) regression, and time-series analysis. Other topics include [[time value of money]]—incorporating basic valuation and yield and return calculations—[[Modern portfolio theory#Risk and expected return|portfolio-related calculations]], and technical analysis.<ref>{{cite web|url=https://www.cfainstitute.org/CFA%20Program%20Study%20Session/2017_L1_SS02.pdf|archive-url=https://web.archive.org/web/20170204170154/https://www.cfainstitute.org/CFA%20Program%20Study%20Session/2017_L1_SS02.pdf|url-status=dead|archive-date=February 4, 2017|title=2017 Level I CFA Program Curriculum|publisher=CFA Institute|access-date=2017-02-03}}</ref>
Recent additions, as mentioned above, are a survey of [[machine learning]] and [[big data]].<ref>Discussion is top down; see: [https://www.cfainstitute.org/-/media/documents/study-session/2020-l2-ss3.ashx  Kathleen DeRose and Christophe Le Lanno (2020). "Machine Learning"].</ref>