Asset management, Commodity price, Commodity risk, Hedging, Market psychology, Market trends, Oil market, Risk management, Trading, Trend following

Trend following and the impact of unforeseen events

“Yes, but how can your system know if XYZ happens and markets go haywire?” This is one of the two most frequently asked questions about systematic trading strategies I’ve used over the last 20 years. Most traders tend to rely on analyses of supply and demand fundamentals to form a judgment about future price changes.

My contention is that this simply does not work and I can make a strong case to back this up (see here, here or here). I can also offer evidence that my systematic approach does work (see here or here) even if I know nothing about the supply and demand economics of most markets I cover. This usually elicits the objection that my system can’t know if some XYZ event might happen tomorrow  (recently, XYZ tended to refer to Trump tweets), upsetting the markets and rendering my strategies ineffective. Recent experience afforded me an (almost) perfect answer to this question (plus another important issue related to trend following). Continue reading

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Asset management, Behavioral finance, Commodity price, Commodity risk, Expertise, Hedging, Market research, Market trends, Risk management, Stock market, Trading, Trend following

Do trend followers move markets? (they do).

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

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Asset management, Commodity price, Market trends, Risk management, Trading, Trend following

How we knew yields would collapse?

While most market experts completely failed to predict this year’s collapse in interest rates (see the chart below), we traded the event profitably. In this article I summarize the the hows and the whys of our performance.

AgeOfQE_CTAsVsS&P500vsExperts

How did we know to short US T-Notes starting in Q4 2017, then reverse and go long in November of 2018? Did we know interest rates would first rise, then collapse at the fastest rate in 50 years? Are we so brilliant as forecasters? Did we have insider information? The answer is, none of the above.

We did not know what would happen – but profited from the events anyway. Here’s how: Continue reading

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Asset management, Behavioral finance, Commodity price, Economics, Hedging, Market research, Market trends, Oil market, Risk management, Trading, Trend following

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

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Commodity price, Commodity risk, Complexity, Economics, Expertise, Hedging, Market psychology, Market research, Market trends, Oil market, Risk management, Trend following

Market fundamentals, forecasting and the groupthink effect

Last month I had the privilege of meeting with Jaran Rystad of Rystad Energy to discuss strategic cooperation between our companies. On the occasion, he gave me a rather detailed presentation of his firm’s energy intelligence database. I must say, in my 20+ years trading in commodities markets this is by far the most impressive product of its kind I’ve ever seen. Even from the software engineering point of view, I was very impressed. For full disclosure, nobody asked nor encouraged me to write this. Much as you’d recommend a restaurant where you ate well or a doctor you respect, I wholeheartedly recommend Rystad Energy as a provider of energy market intelligence as a matter of giving credit where credit is due.

20190626_wJaranRystadCropped

Monaco, June 2019 – with Jarand Rystad

However, even with top notch data on economic supply and demand fundamentals, divining the future remains difficult and unlikely. John von Neumann rightly said that forecasting was “the most complex, interactive, and highly nonlinear problem that had ever been conceived of.” Continue reading

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Asset management, Behavioral finance, Hedging, Market psychology, Market research, Market trends, Risk management, Stock market, Trading, Trend following

Lessons Of Japan’s 1980s Bull Market

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.

Continue reading

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Commodity price, Commodity risk, Energy crisis, Hedging, Market psychology, Market trends, Oil market, Risk management, Trading, Trend following

Six Principles To Adopting Best Practices In Commodity Price Hedging

  • This week Sinopec disclosed the latest hedging mishap, losing $690 million amid last year’s oil price collapse.
  • Unless price risk management is organized as an integral part of core business operations, it can devolve into eratic and risky game of speculation that can cause massive damage.
  • The six simple but important guiding principles could help commodity firms create a world class risk management process and turn price risk into a source of value and competitive advantage.

This week Sinopec disclosed that it had incurred $690 million in losses in the fourth quarter of 2018. The losses were attributed to Unipec’s oil hedging bets. Unipec clearly took the wrong directional exposure to oil prices in the period when they staged a sharp, 40% collapse (October-December 2018). This much is understandable. However, such losses did not need to happen – I maintained heavy exposure to oil prices over the same period and not only avoided heavy losses but actually generated significant profits by simply adhering to a systematic trend-following model.

Continue reading

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