There has never been an era in which quantifying risk and reward in liquid asset investing was more important. How about automating much of your risk/reward calculation, while using the most precise methods possible? How about an auto-backtesting feature that allows you to instantly see the prior prediction fit to data for individual stocks, so you know how much confidence to put in your stress-test scenarios?
Better still, how about the most precise stock market boom/bust indicator you can find?
View the real time market forecast for US GDP growth at a glance. What kind of changes in growth is the market signaling? Will policymakers do enough to offset problems? Update your economic forecasts.
Get alerts about coming stock market booms and busts to take full advantage of the volatility.
Construct or link stock portfolios and run scenarios revealing expected changes in stock prices in response to changes in GDP growth expectations and major stock indexes. What happens to the portfolio if there's a 2% recession? How about if growth suprises by .5 % on the upside?
Stock Stress-Tester Demo Video
Apple stock stress-test model fit-to-data example, during Covid_19 crisis.
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Send me a message, and I will get back to you soon to schedule a consultation.
Monday - Friday: 9am - 5pm
Saturday: By appointment
Sunday: Closed
I began my journey toward better understanding macroeonomics, and particularly its relationship to liquid asset prices, in 2007, as the Great Recession and financial crisis took hold. I did not see such a crisis coming, so I wanted to be in a position to better prepare for such crises in the future. I was fascinated with the idea that resources could be idle for years, even following recessions, revealing apparent market failures.
It turns out the primary market failure involves sticky wages and prices, but the larger problem with markets is the approach to regulation, which is poorly suited to the task. This, unfortunately, creates the need for software such as I'm producing.
I'm happy to say that I have discovered a way to precisely predict changes in broad stock indexes, given specific changes in GDP growth expecations. The approach does not rely on statistics, but instead is deterministic. Then, statistical methods are applied to predict changes in individual stock prices, based on predicted changes in the broad stock index.
Professionally, I have been a stockbroker for Merrill Lynch, and an independent financial advisor.
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