As a first-time investor, researching on what financial instruments to invest in, I narrowed my options to two technology ETFs, JEPQ and QQQ. QQQ tracks the NASDAQ 100 index, meaning its fluctuations are tied to that of the NASDAQ 100. JEPQ tracks some of the top stocks in the NASDAQ 100, and sells covered calls to generate monthly dividends for investors. On paper, it seems like JEPQ is for more conservative investors, capping the potential gains with the calls, but also insuring against sharp falls. QQQ, on the other hand, is subject to the whims of the market, with the potential for large gains, but also the risk of steep falls. I wanted to leverage my expertise with data, and see if there were any patterns or trends that I could spot, that would give me a better chance of having success with my investments. For this, I used the daily price data for JEPQ and QQQ from May 4 th , 2022, to December 25 th , 2025. If I invested on Day 1, what would be my total return on Day x ? To an...
In the previous part of this project, I looked at the variables I was using, and some of the trends that I identified through a preliminary analysis. Part 2 of this project is dedicated to: - The research questions I formulated - The statistical analyses that I used for each question - The interpretation of my analysis - What conclusions I was able to draw to answer each research question Research Questions Based on my preliminary analysis of the variables that I was working with, I came up with more questions that I was interested in exploring, in addition to my original goal of figuring out whether the car or driver was more crucial to Formula 1 success. One of the first things that piqued my interest was how the different points systems affected overall scoring. While it was immediately clear that the change in point scoring systems from 10 points for a win to 25 points for a win resulted in drastic changes to the point totals, my hypothesis was ...