March 2020 market storm has been an important test of the I-System model and the way it navigated the unforeseen events. The results have been very encouraging and the system has done well in all affected markets. Last week I summarized its performance on Brent crude oil, Silver and US 30-year Bond. Here we take a look at how it performed in Russell 2000, S&P500 and Palladium markets. Continue reading
Tag Archives: Price risk
In October 2019 I predicted the current oil price collapse. How I knew? Here’s how:
In January last year, Reuters polled 1,000 oil market experts who basically agreed that oil would remain anchored in the $65-$70/bbl range through 2023. Only 3% of these experts thought that oil might rise to $90/bbl or more in 2020. I posted my analysis at this link: Market Fundamentals and Forecasting Groupthink. Later that year I published my own analysis, “Next Move in Oil Prices: $5-$10 Lower,” concluding that, …oil price will likely see another leg down… with Brent falling toward high $40s and WTI toward low $40s. Continue reading
Failure of price forecasting: the unit of account conundrum
In addition to the better understood challenges of market analysis, like access to timely and accurate data, there is another – rather massive, but usually completely ignored – problem that renders forecasting largely an exercise in futility.
Over the years I’ve written quite a bit on the unreliable nature of price forecasts based on the analysis of market supply and demand . Most recently, in “Market fundamentals, forecasting and the groupthink effect,” I discussed the problem of data quality as well as the very real problem of groupthink among leading analysts, providing an example of a staggeringly wrong oil price forecast they produced. Some of the very same experts later produced this gem: Continue reading
Groupthink in commodity price forecasting, its disastrous consequences and how to master price uncertainty
- In financial and commodity markets, large-scale price events are not predictable. Even so, most market professionals rely on forecasts most heavily in making forward-looking decisions.
- At times, this has disastrous consequences (see below)
- Large-scale price events are far and away the greatest source of external risk for commodity-related businesses. Their severity and frequency has been on the increase in recent years.
- An alternative approach to mastering uncertainty is to explore systematic trend-following strategies which, if used appropriately can turn price risk into a source of profit and hard to match competitive advantage
According to the latest Reuters survey, over one thousand energy market professionals expect the oil price to average between $65 and $70 a barrel in the years 2019 through 2023. Only 3% of respondents thought that Brent Crude Oil might increase above $90/bbl next year. So, market experts do not expect any surprises and largely agree that oil price will remain where it is. This groupthink reminds me of a similar situation some 15 years ago. Continue reading
Lessons in trend following: how we traded sugar
Sugar prices have soared on the CSCE (Coffee, Sugar and Cocoa exchange) from just over $0.10 per pound in August 2015 to over $0.23 at present – a fairly sharp jump by any standard, particularly after several years of continuously falling prices. I trade sugar using our trend-following model and to channel my inner Donald Trump – we’ve done tremendously well, generating a respectable grosss annualized return of nearly 10% per annum over a 5-year period. Now, the main reason I find this remarkable is that I know next to nothing about the fundamental economics of the sugar market. I know it goes into biscuits and beverages, that it comes from sugar cane or sugar beets, but that’s about it. Continue reading