Saturday, March 23, 2024

Letter to Batch 33 of the Early Retirement Masterclass


Dear Students of Batch 33,

It's been a great honour and privilege to conduct a 5-Day Early Retirement Workshop for you.

Teaching this batch of students has been much more challenging than teaching earlier batches because we decided to transition to Quants Café as our back-testing tool. The tool is less than six months old, and I decided to transition into this when I can adequately perform the backtests to create stock screens for the program. Today's exercise raised some inadequacies in the new training materials, including more video materials and explanatory notes over the next few weeks. I will prioritise training videos and a lab sheet to make training future batches much easier.

Beyond the training in using the tools, the class has also created a very tight portfolio consisting of only 14 stocks. It brutally rejects most blue chips in favour of small caps and REITs. The final yield is exceptionally high at 7.48%.

The situation for the ERM portfolio will improve beginning around Q3 2024. It does not make sense that such a well-run city-state has its equities priced at a PE of around 10. For another, the situation involving REITs will likely turn around once the Fed begins lowering interest rates.

The conversation with the students is also something that keeps me going. I was unaware that the tourism momentum in Singapore has legs because Bruno Mars will be conducting a concert here in a few months. Discussing what authorities and companies are doing about scalpers is fascinating. As mundane as such discussions might seem, they paint a bullish picture of our local economy that justifies our tight portfolio that made two hospitality trust picks.

Lastly, I hope Batch 33 will participate actively in the FB group. I look forward to seeing you in the following community seminar slated for Q2 2024.

Hope to see you then!

Christopher Ng Wai Chung


1 comment:

  1. Beyond content knowledge, tuition sessions aim to enhance students' scientific skills such as observation, inference, analysis, and evaluation. Students learn how to apply these skills to solve problems and communicate scientific ideas effectively.

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