<![CDATA[Actuary Fellow - Home]]>Sun, 29 Mar 2020 20:05:41 -0700Weebly<![CDATA[ActuaryFellow Giveback Program]]>Wed, 18 Dec 2019 17:56:24 GMThttps://actuaryfellow.weebly.com/home/actuaryfellow-giveback-programHi Fellows,
Thank you for choosing us as your study buddy. 
​
By introducing the ActuaryFellow Giveback program, we integrate social good into our business model. The program allocates a portion of our revenues for charitable giving and let you direct donations to charities of your choice.  
  • Each student is given at least $50 of charitable giving fund.
  • You can direct your giving funds to multiple charities, but each donation must be an increment of $25.
  • Soon after your purchase, we would send you a donation form to specify the donation amount and the charities of your choice. This can include charitable fundraising campaigns of your colleagues, friends, or family members.

Together we can make our community better!
Cheers,
Ryan
I have been volunteering as a mentor with Apex for Youth since 2016. I have witnessed the growth of my mentee and how much he has benefited from the program in terms of public speaking, confidence building, and time/stress management.  
​
Apex For Youth is run by a team of passionate educators with a high level of professionalism. I strongly recommend it for your choice!
Picture
]]><![CDATA[Constructing Efficient Frontier with Python]]>Thu, 17 Oct 2019 01:26:46 GMThttps://actuaryfellow.weebly.com/home/constructing-efficient-frontier-with-pythonI find it fun to apply the concepts from Exam 9 in the real world, especially the concepts on portfolio management.  In BKM Chapter 7, we learn about the Markowitz Portfolio Selection Model and the Efficient Frontier.  In this post, we take the concepts further with Python and construct an efficient frontier for a portfolio with multiple securities.   

Introduction:
For simplicity, we work with a portfolio with 4 stocks; you could modify the codes to include as many stocks as you would like.   

The codes are written in Python along with commentaries, which make it less difficult to follow.  Even if you are new to Python, it is NOT too hard to follow. 

Section 1 shows how to pull stock prices from the Internet and organize them. 
(You could skip this section if you are not familiar the Python libraries used.  The dataset is saved and reloaded in Section 2.)

Section 2 shows the calculation of expected returns and standard deviation for random portfolios and portfolios on the efficient frontier, as well as the plot for efficient frontier.  Matrix operation and optimization are used (Thank God, this is not tested on Exam 9!!)

Let's get the fun started!
]]><![CDATA[Effective Use of TI-30XS Data Feature (Mini Excel) Part 2]]>Mon, 29 Apr 2019 02:12:12 GMThttps://actuaryfellow.weebly.com/home/effective-use-of-ti-30xs-data-feature-mini-excel-part-2Video Lesson #2: Covariance share 2010Q14
]]><![CDATA[Effective Use of TI-30XS Data Feature (Mini Excel)]]>Mon, 29 Apr 2019 02:07:55 GMThttps://actuaryfellow.weebly.com/home/effective-use-of-ti-30xs-data-feature-mini-excelVideo Lesson #1: Convexity 2018Q4
]]><![CDATA[Exam-taking Tips]]>Thu, 25 Apr 2019 15:42:42 GMThttps://actuaryfellow.weebly.com/home/exam-taking-tips

Post-it flag:
https://www.amazon.com/Post-Janeiro-Collection-Dispenser-683-RIO2/dp/B00QL3TCA4
​

]]>