One of the interesting aspects of the financial newsletter business is that an incorrect prediction of a market crash will probably drum-up a lot more new business than a correct prediction that there won’t be a crash. Hence, the never-ending popularity of crash-forecasting, despite the fact that such forecasts almost never pan out.

From the perspective of a newsletter writer or any other commentator on the financial markets, the best thing about forecasting a crash is the massively asymmetric reward-risk associated with it. If the market doesn’t crash this year, when it was supposed to according to your original forecast, then you can just say that the event has been delayed and will happen next year instead. You don’t have much to lose because people will soon forget the failed prediction and focus on the next prediction. And if it doesn’t happen next year, then just repeat the process because eventually the market will crash and your amazing prescience will be there for all to see. Furthermore, after you correctly predict a crash there will be thousands of people eager to find out your next big prediction and buy your newsletter/book. In other words, from the forecaster’s perspective the downside of making an incorrect crash forecast is trivial compared to the upside of making a correct crash forecast.

The point is that regardless of how many times you forecast a crash that never happens, you will only have to get lucky once and you will be set for life. From then on you can promote yourself, and be introduced in interviews, as the person who predicted the great crash of XXXX (insert year). From then on a large herd of ‘investors’ will hang on your every word and rush to buy your advice whenever your next big forecast hits the wires.

Having seen how the process works, I’m officially entering the crash forecasting business. My inaugural forecast is for the US stock market to crash during September-October of 2016.

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