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
A few months ago, when reviewing our trades on US Treasury futures, I was so delighted, I drafted a bragging article titled “How we knew yields would collapse?” summarizing the results of our trading. That performance was entirely generated by my I-System model, first built in 1999. I still find myself awestruck that this works… We generated profitable trades through both the bear and the bull market in bonds, literally without needing to know a single thing about the market fundamentals. The trades were strictly based on the knowledge framework built into the system more than 20 years ago (by the way, our strategies are still generating excellent signals in those same markets). Continue reading
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
In the age of central bank quantitative easing, trend following has become an unpopular investment strategy, even earning tiself a bad name as trend following funds performed miserably compared to bonds, equities, and passive index funds. Below is a chart put together by AutumnGold showing a growing gap between Managed Futures funds the S&P 500 and Barclay’s Aggregate Bond index. Managed futures funds are a good proxy for trend following performance as most of them apply systematic trend following strategies in one way or another.
Afer popping, Japan’s 1980s bull market gave way to an 82% drop over the following 20 years.
Three decades later, Japanes equities are still more than 40% below peak valuations.
One of the most effective methods of navigating the boom/bust cycles has been the systematic trend following.
Sooner or later a crash is coming, and it may be terrific
Roger Babson, 5 Sep. 1929
If everybody indexed, the only word you could use is chaos, catastrophe. The markets would fail
Jack Bogle, founder of The Vanguard Group
As of December 2018, passive index funds controlled 17.2% of the stock of all U.S. publicly traded companies, up from only 3.5% in 2000. The 5-fold increase was in part the consequence of the ongoing stock market growth, which now has the distinction of being the longest running bull market ever recorded. Buoyed in large part by central banks’ unprecedented quantitative easing (QE) programs, the rising stocks have lulled many investors into complacency.
- Quantitative strategies have become increasingly popular in trading and investing
- The experience with using them has been mixed, largely as a result of three categories of problems
- Still, quantitative approach is well worth exploring and offers important advantages to their users
Over the past few years, the use of quantitative strategies has become increasingly popular in trading and investment management. According to JPMorgan, passive and quantitative investors now account for 60% of equity assets under management (vs. 30% ten years ago) and only about 10% of trading volumes originate from fundamental discretionary traders. Appealing new buzzwords like, robo-advising, artificial intelligence and machine learning stoked the imagination of many investors and boosted the quantitative trading gold rush. Continue reading
Investors exert a great deal of intellectual effort to determine the correct valuation of securities. Economic value is central to our decision making and it plays a major role in our intuitive psyche. In daily life, when we buy a loaf of bread or a tank of gasoline, we tend to have a good idea about what we think is cheap and what’s expensive. We like bargains, don’t enjoy being ripped off, and in the same way we’re inclined to shop for value as consumers, we find value investing intuitively appealing. But here’s the critical difference between buying goods and investing: shopping for investments is speculative while buying stuff isn’t, and speculation activates the part of our mental circuitry that can heat up to a boiling point and overwhelm any rational consideration of value. Continue reading