ABOUT
I'M Matt
I earned my PhD in Financial Economics from the University of New Orleans in 2019. Prior to that, I worked with financial planners during my MBA program at Northern Michigan University from 2012 to 2013.
During my MBA, I published research and received a Best Paper Award at the ASBBS Conference in Las Vegas, NV, for automating a simplified version of the CAN SLIM stock investing strategy. I expanded this research during my PhD in 2015, publishing an extended version of the paper that tracked an automated application of the strategy on the Dow Jones Index from 1999 to 2015.
After publishing this extended paper in 2018, I continued monitoring the strategy’s performance. From 2015 to 2021, the results consistently outperformed both the Dow Jones and S&P 500 indices.
In response to community interest, I decided to track the portfolio holdings in real-time for model $100,000 and $1,000,000 accounts. To complement this, I produce a monthly newsletter highlighting the companies that pass the strategy’s criteria.
BELIEF #1
I am unable to outperform the S&P 500 using automated and simplified investment strategies.
BELIEF #2
I am unable to enhance the process of identifying trends in passing stocks through technical analysis.
BELIEF #3
Rules that outperform the market are effective only within a specific time frame and are not applicable to both rising and falling market conditions.
Extending to Famous Investors
I co-authored a paper with my dissertation workshop and corporate finance professor, Tarun Mukherjee. Together, we benchmarked the CAN SLIM system against other well-known investor strategies from the American Association of Individual Investors (AAII.com) and explored ways to simplify the CAN SLIM strategy further. This research was published in Applied Finance Letters (AFL) in 2023.
I also authored a paper exploring the use of the Volume Price Confirmation Indicator (VPCI) as a factor model alongside other volume-based factors. The study found that VPCI demonstrated superior performance when applied to the Center for Research in Security Prices (CRSP) index. This was published in the Journal of Academy of Business and Economics (2022).
Two additional papers were published on related research. The first, appearing in the Journal of International Finance and Economics (2024), examined the integration of the Famous Investor Model with the Volume Price Confirmation Indicator (VPCI). The second, forthcoming in the Journal of Investing, explored the application of VPCI in combination with moving averages across major indices, including the S&P 500, Nasdaq, Russell 1000, Russell 2000, and Russell 3000.
#1 Identifies Top Investment Strategies
#2 Replicates those strategies according their creators
#3 Test the strategies keeping the best of the best
#4 Improves upon the strategies with Volume Analysis
#5 Provides subscribers with ideas allowing investors to invest better than the best
Buff Dormeir, CMT
