5 reasons to apply for Alpha Kappa Psi

Eccles Students, you know that it's crucial to "get involved" this semester - by why choose Alpha Kappa Psi? Here are five of my favorite reasons:

1) You'll form close friendships with a diverse set of students from many majors, multiple colleges, and a plethora of life experiences, ambitions, and talents. Best of all? These "brothers" are top-tier individuals who spent the past year devoted to starting our chapter from the ground up. 

2) You'll gain experience in a startup-like environment, where you'll collaborate on projects as part of a committee, influence key decisions [even as a new member], wear many hats as the fraternity scales rapidly, and take on ownership of core pursuits & values to the fraternity. The market potential for AKPsi's impact is really quite infinite, and the potential for personal growth & development is enormous.

3) You'll meet AKPsi peers and alum throughout the country at leadership conferences and trainings - I myself connected with AKPsi peers when interning in a new state, and the friendships that ensued were incredible.

4) You'll receive hands-on experience mentoring your peers, and these people development skills are highly valued in the workplace.

5) The value you receive for the time and money you invest in the organization is among the highest ROIs at the University of Utah.

How to pick & pitch a stock

A seemingly infinite amount of research can be done when analyzing a stock. We can forecast thousands of factors to predict how they would impact a company, we can try to understand how hundreds of competitors interact in the industry, we think endlessly about the psychology of other investors in the marketplace and construct sensitivity analyses to quantify our level of certainty on any specific valuation. The reason I’m writing this post is to share a commonly used framework to evaluate a stock and build a stock pitch that can be used as a foundation for many further analyses.

Portfolio optimization using the efficient frontier and capital market line in Excel

Assuming that markets are efficient and that the assets in a portfolio aren’t perfectly correlated, we can reduce the total variance of a portfolio at any given expected return by combining assets in various weights.

Imagine a graph with risk on the X axis (measured as standard deviation of the asset’s historical returns) and dividend-adjusted return on the Y axis (measured as an average of historical return). We can plot every possible combination of risky assets in a portfolio to find the best possible return at each level of risk (and lowest possible risk for each level of expected return), and the resulting curve would have a higher return for any given level of risk than any individual asset.