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Dividend Research with ChatGPT

May 15, 20233 min read

also, white-collar jobs are doomed. see this video of stock research I was able to do with chatgpt to find a high yield REIT:

and then the article chatgpt wrote for me from the video transcript:

In a recent blog post on Alchemist Nation, we delved into the intricacies of real dividends, with a specific focus on Real Estate Investment Trusts (REITs). REITs pique our interest primarily because of their tax benefits, especially the manner in which dividends are deemed a return of capital. In most instances, these returns remain tax-free until your initial investment is recouped, shifting to excess only thereafter.

If we consider a REIT that offers an annual dividend yield of 16%, you will enjoy six tax-free years before the need to pay taxes on those dividends arises. This occurs because, at that point, you will have recouped your investment.

Recently, I had the chance to experiment with OpenAI's chat GPT model, specifically the upgraded 'plus' version, chat GPT-4. Among other inquiries, I asked the AI model to generate a list of REITs offering an annual dividend yield of over 12%. I selected this figure based on a discussion about a 12 cap rate and the fact that REITs are known to pay pretty well.

Despite a few technical difficulties, the AI model was able to locate several companies with a dividend yield over 12%. However, it should be noted that not all of these were REITs. The list included companies like Golar LNG Partners, Icahn Enterprises, Orchid Island Capital, Sculptor Capital Management, and Petrobras - Brasil. Among these, only Orchid Island Capital was identified as a REIT.

Orchid Island Capital is a specialty finance company that invests in residential mortgage-backed securities (RMBS). For tax purposes, Orchid is structured as a REIT, which allows the company to avoid federal income taxes on profits distributed as dividends to shareholders, provided it meets specific criteria, including distributing at least 90% of its taxable income to shareholders. Orchid operates under the aegis of Bimini Capital Management Inc., which provides it with the necessary management and analytical expertise to navigate the RMBS market.

Given that Orchid's performance can be impacted by factors such as changes in interest rates, the state of the housing market, and the creditworthiness of entities guaranteeing the RMBS, I decided to delve deeper into the company's current stock price, most recently announced dividend, trailing 12-month net income, and trailing 12-month cash flow. This is to ensure that the company has sufficient cash flow and profit to support its dividends and avoid falling into a "dividend trap."

Most of Orchid's RMBS are 30-year, 3-4% fixed-rate RMBS. This means they're securities backed by a pool of residential mortgages, and the interest rate is fixed for the life of the loan. They offer investors exposure to the housing market, specifically to a pool of fixed-rate home loans. However, the primary risk for these kinds of investments is the possibility of many borrowers defaulting on their loans, which could impact cash flows significantly, as we witnessed during the 2008-2010 financial crisis.

I also constructed a model that predicts the potential returns on an initial investment of $10,000 in Orchid's stock, under the assumption of reinvested dividends and certain market conditions, including a 20% drop in the stock's price and a 30% cut in the dividend level. In this bearish scenario, despite an initial drop in total capital value, the reinvested dividends started to offset the loss, bringing the investment back to a break-even point by the end of 2025.

Conclusively, while we know that there's a risk of insolvency in the scenario described, it's quite a complex process to predict the exact likelihood without a more detailed analysis or in this dialogue.

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Neal McSpadden

Neal went from owing the IRS over $1,300,000 to Zero and in so doing discovered the world of tax planning. Since 2011 he's helped tens of thousands of clients save hundreds of millions of dollars on overpaid income taxes.

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