Financial Data Science- two questions need answered in report format

Two question need answered in report format
q1. Company Description Provide a well-researched company description including any significant corporate actions in the last six months. (word limit: 250 words).
Company Name
Ramsay Health Care Limited    ASX    Healthcare

q2. Critical overview of the Fama-French three Factor Model Provide a well-researched critical overview of the Fama-French Three Factor Model. The review should highlight the assumptions of the model and their validity. All references must be cited. (word limit: 250 words)
Notes:
–    You can use publicly available information from company website and ASX
–    The word count mentioned in the questions is the maximum word count and excludes any figures and/or tables.
–    Both, in-text and end text citations are required. End text references are excluded from the page limit
–    Use Harvard Style

o    Recommended Sources and reading list: (you can use other sources too)

•    https://www.ramsayhealth.com
•    https://www2.asx.com.au/markets/company/rhc
•    Chapter-16 from D. Ruppert, D.S. Matteson, Statistics and Data Analysis for Financial Engineering, Springer Texts in Statistics
•    Chapter 4-6 from https://singh1985.github.io/RforResearch/index.html
•    Rees, M. (2015). Building Blocks: Selected Excel Functions and Tools. In Financial Modelling in Practice (pp. 1-48). Hoboken, NJ, USA: John Wiley & Sons.
•    Fairhurst, D. (2015). Using Excel in Financial Modelling. In Using Excel for Business Analysis (pp. 71-92). Hoboken, NJ, USA: John Wiley & Sons.
•    Pfaff, B. (2013). Financial Risk Modelling and Portfolio Optimization with R. New York: John Wiley & Sons, Incorporated.
•    Hands-On Programming with R (1st ed.). (2014).
•    Härdle, Wolfgang, Chen, Cathy Yi – Hsuan, Overbeck, Ludger, & Springer – Verlag Gmbh. (2017). Applied quantitative finance (Statistics and computing). Berlin, Germany: Springer.
•    Choe, G., & Springer International Publishing Ag. (2016). Stochastic analysis for finance with simulations

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