What You Should Know About Investing In Commodities
Recent strong performance has attracted a lot of neophytes. They may have much to learn.
Recent strong performance has attracted a lot of neophytes. They may have much to learn.
After years in the investing wilderness, commodities are hot again. And it looks as if the rally may continue for at least the foreseeable future, some analysts say.
The speed of the rally has been striking. The Refinitiv/CoreCommodity CRB Index, which tracks a basket of commodities selected to represent prices of futures contracts across the whole sector, doubled from April 2020 through mid-February.
That performance follows a yearslong period when the index trended lower. And the surge is now attracting investors of all types—from veterans to neophytes.
The latter would do well to understand some of the basics in how commodity investing works. Commodities typically get grouped into three broad buckets: energy, foodstuffs and materials. Each has endemic risks, including weather, local and geopolitics.
Each also offers the possibility of direct investment, in the commodities themselves, or indirect investment, through vehicles such as mutual funds and exchange-traded funds. For the relatively inexperienced, direct investing in commodities can be particularly challenging, in part because of additional costs and risks generally not found in other types of investing. We’ll get to those details in a moment.
What follows is a look at some of the basics of commodity investing.
The price of each commodity gets determined by the supply and demand dynamics for that item. For instance, last year bad weather in Brazil hurt the coffee crop and pushed up the cost of beans. Likewise, an attack on an oil-refining plant in the Middle East will tend to disrupt supplies and spark an energy-market rally.
Commodity markets are global. What happens in one country can have an impact on commodity prices world-wide. Therefore, all commodity investors should keep an eye on what’s happening not just in the U.S. but around the world.
While even just the risk of war can send prices higher for commodities, particularly those that originate in the countries directly involved, actual invasion tends to send those prices even higher. That is exactly what happened with the conflict between Ukraine and Russia as both countries are leading exporters of foodstuffs. Although the invasion began on Feb. 24, prices were rising long before. A bushel of wheat is fetching $13.48, up 77% from $7.61 at the beginning of February on fears that global supplies would be disrupted. Likewise, corn prices have rallied 21% over the same period. Such surges added to those already happening in the commodity markets. Even before the war, unfavourable weather- and pandemic-related disruptions across the world were reducing supplies and sending prices higher when production couldn’t keep up with demand.
Sometimes a price change in one commodity causes the cost of another one to move as well. One typical example is in livestock farming. Farmers sometimes switch from feeding hogs or cattle with costly grain to less-pricey alternatives. They might decide to buy corn from arable farmers instead of wheat or vice versa depending on the relative prices. In turn, those prices change to reflect the new demand for each product. This phenomenon shouldn’t be too surprising. Imagine if the cost of aged blue Stilton increases at the supermarket; at least some people will likely switch to a less-expensive cheese.
Unlike commodity traders and other professionals whose direct positions in oil or grain might change from second to second, average investors in commodities will have longer time frames in mind for their commodity-related holdings. But a simple buy-and-hold strategy here won’t help you accumulate wealth as it would in the stock market.
Commodity prices can frequently trend lower for decades. New technologies, such as better farming techniques or methods of mineral extraction, have allowed supplies to increase over time, depressing prices.
For instance, oil hit a record high of around $147 a barrel in 2008 versus the current price of $115.68. Likewise, Arabica coffee prices peaked at $3.35 a pound in 1977 versus $2.24 now. When these prices get adjusted for inflation, the declines look starker.
Thus, even for individual investors in commodity-related investments, timing in these markets can be critical. Whether you think of your investment as short term or long term, investors need to pay attention to buy at the right moment and sell at an auspicious one. Lean-hog prices tripled from 37 cents a pound in April 2020 to $1.20 in June 2021 before collapsing to 72 cents in October. Anyone not ready for such swings will be in for a shock and an emotional roller coaster.
Adding commodities to a larger balanced portfolio can also help reduce risks as commodity prices tend to have low correlation to other assets such as stocks and bonds. That means when the S&P 500 falls, commodity prices may go up, or down, or not move at all.
One more advantage to investing directly in commodities rather than commodity companies is that a layer of risk is removed. When investing in stock there is always the possibility that management may make mistakes even when the underlying sector economics are favorable.
Commodity investors typically don’t operate in the cash market, meaning they don’t purchase physical materials such as metals, oil, or foodstuffs. Instead, traders mostly buy or sell futures contracts in the hope of benefiting from the increase or decrease in prices. These contracts are legally binding agreements to buy or sell a specific volume of a commodity on a specific date in the future.
Ultimately, the prices in the futures market and those in the cash market will tend to converge. That’s why commodity producers and consumers use futures to hedge the risks of market price movements.
Most stocks pay dividends to investors, meaning you can make money even if the share prices don’t move. Pretty much the opposite is true for commodity investors. It costs money to own commodities. For example, a buyer of 100 ounces of gold bullion will need to cover the costs of storage and insurance for the metal. While such expenses can be low for precious metals, they can stack up faster for crude oil and grains such as wheat and corn as more extensive facilities are needed to hold the stuff.
For fund investors, there are many choices. More than 150 mutual funds and ETFs cover the sector. Unfortunately, that means much due diligence is required. In short, it’s essential to understand what the fund owns and what its strategy is.
Just as with stocks, there are both passive funds (those that track a benchmark index) and active ones (those that follow a discretionary investing strategy).
In the passive category, some track the price of single commodities, such as SPDR Gold Shares ETF (GLD) and Invesco DB Gold Fund (DGL), which track slightly different benchmarks. Likewise, there is an ETF for wheat, Teucrium Wheat (WEAT). There are also passive funds that are designed to track groups of commodities, such as Invesco DB Base Metals (DBB), or the whole sector, such as iShares S&P GSCI Commodity-Indexed Trust (GSG).
Actively managed funds, such as the active ETF First Trust Global Tactical Commodity Strategy Fund (FTGC), make decisions on what commodities to buy or sell.
There are a couple of wrinkles to watch out for with all types of funds. First, average investors should avoid any fund that uses leverage to enhance performance. Such funds often promise to deliver two or three times the performance of a given commodity. While that means such funds can deliver multiplied profits, they also magnify losses.
Other funds claim that they’ll mimic an inverse performance so that if a commodity’s price falls, the fund will increase in value by a similar amount. This isn’t the same as a hedge against losses unless the trade is made specifically to diversify risk within a larger portfolio. Another problem with these funds is that there can be significant tracking errors. These funds are best left to sophisticated investors.
It’s also worth being cautious about exchange-traded notes, or ETNs. This type of investment can expose investors to the risk that the fund company goes bust. ETFs and mutual funds protect investors against such events.
As with all investing, investors should find funds with low expense ratios. Annual fund expenses mainly range from 0.5% to 1%. Leveraged funds tend to have expenses of 1% and more. These compare with costs of 0.09% for SPDR S&P 500 ETF, which tracks the S&P 500.
Investing guru Jim Rogers famously made a boatload of money during the 1970s investing in the commodity markets while material prices and food costs jumped. And there will likely be other people who do similarly again.
However, even the most sophisticated investors sometimes come unstuck, such as the Hunt brothers. In 1980 they accumulated major positions in the silver futures market using borrowed money. But a change in exchange rules led to a price drop, and quickly the brothers couldn’t cover their obligations. In other words, be careful in the commodity markets.
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Geoffrey Hinton hopes the prize will add credibility to his claims about the dangers of AI technology he pioneered
The newly minted Nobel laureate Geoffrey Hinton has a message about the artificial-intelligence systems he helped create: get more serious about safety or they could endanger humanity.
“I think we’re at a kind of bifurcation point in history where, in the next few years, we need to figure out if there’s a way to deal with that threat,” Hinton said in an interview Tuesday with a Nobel Prize official that mixed pride in his life’s work with warnings about the growing danger it poses.
The 76-year-old Hinton resigned from Google last year in part so he could talk more about the possibility that AI systems could escape human control and influence elections or power dangerous robots. Along with other experienced AI researchers, he has called on such companies as OpenAI, Meta Platforms and Alphabet -owned Google to devote more resources to the safety of the advanced systems that they are competing against each other to develop as quickly as possible.
Hinton’s Nobel win has provided a new platform for his doomsday warnings at the same time it celebrates his critical role in advancing the technologies fueling them. Hinton has argued that advanced AI systems are capable of understanding their outputs, a controversial view in research circles.
“Hopefully, it will make me more credible when I say these things really do understand what they’re saying,” he said of the prize.
Hinton’s views have pitted him against factions of the AI community that believe dwelling on doomsday scenarios needlessly slows technological progress or distracts from more immediate harms, such as discrimination against minority groups .
“I think that he’s a smart guy, but I think a lot of people have way overhyped the risk of these things, and that’s really convinced a lot of the general public that this is what we should be focusing on, not the more immediate harms of AI,” said Melanie Mitchell, a professor at the Santa Fe Institute, during a panel last year.
Hinton visited Google’s Silicon Valley headquarters Tuesday for an informal celebration, and some of the company’s top AI executives congratulated him on social media.
On Wednesday, other prominent Googlers specialising in AI were also awarded a Nobel Prize. Demis Hassabis, chief executive of Google DeepMind, and John M. Jumper, director at the AI lab, were part of a group of three scientists who won the chemistry prize for their work on predicting the shape of proteins.
Hinton is sharing the Nobel Prize in physics with John Hopfield of Princeton University for their work since the 1980s on neural networks that process information in ways inspired by the human brain. That work is the basis for many of the AI technologies in use today, from ChatGPT’s humanlike conversations to Google Photos’ ability to recognise who is in every picture you take.
“Their contributions to connect fundamental concepts in physics with concepts in biology, not just AI—these concepts are still with us today,” said Yoshua Bengio , an AI researcher at the University of Montreal.
In 2012, Hinton worked with two of his University of Toronto graduate students, Alex Krizhevsky and Ilya Sutskever, on a neural network called AlexNet programmed to recognise images in photos. Until that point, computer algorithms had often been unable to tell that a picture of a dog was really a dog and not a cat or a car.
AlexNet’s blowout victory at a 2012 contest for image-recognition technology was a pivotal moment in the development of the modern AI boom, as it proved the power of neural nets over other approaches.
That same year, Hinton started a company with Krizhevsky and Sutskever that turned out to be short-lived. Google acquired it in 2013 in an auction against competitors including Baidu and Microsoft, paying $44 million essentially to hire the three men, according to the book “Genius Makers.” Hinton began splitting time between the University of Toronto and Google, where he continued research on neural networks.
Hinton is widely revered as a mentor for the current generation of top AI researchers including Sutskever, who co-founded OpenAI before leaving this spring to start a company called Safe Superintelligence.
Hinton received the 2018 Turing Award, a computer-science prize, for his work on neural networks alongside Bengio and a fellow AI researcher, Yann LeCun . The three are often referred to as the modern “godfathers of AI.”
By 2023, Hinton had become alarmed about the consequences of building more powerful artificial intelligence. He began talking about the possibility that AI systems could escape the control of their creators and cause catastrophic harm to humanity. In doing so, he aligned himself with a vocal movement of people concerned about the existential risks of the technology.
“We’re in a situation that most people can’t even conceive of, which is that these digital intelligences are going to be a lot smarter than us, and if they want to get stuff done, they’re going to want to take control,” Hinton said in an interview last year.
Hinton announced he was leaving Google in spring 2023, saying he wanted to be able to freely discuss the dangers of AI without worrying about consequences for the company. Google had acted “very responsibly,” he said in an X post.
In the subsequent months, Hinton has spent much of his time speaking to policymakers and tech executives, including Elon Musk , about AI risks.
Hinton cosigned a paper last year saying companies doing AI work should allocate at least one-third of their research and development resources to ensuring the safety and ethical use of their systems.
“One thing governments can do is force the big companies to spend a lot more of their resources on safety research, so that for example companies like OpenAI can’t just put safety research on the back burner,” Hinton said in the Nobel interview.
An OpenAI spokeswoman said the company is proud of its safety work.
With Bengio and other researchers, Hinton supported an artificial-intelligence safety bill passed by the California Legislature this summer that would have required developers of large AI systems to take a number of steps to ensure they can’t cause catastrophic damage. Gov. Gavin Newsom recently vetoed the bill , which was opposed by most big tech companies including Google.
Hinton’s increased activism has put him in opposition to other respected researchers who believe his warnings are fantastical because AI is far from having the capability to cause serious harm.
“Their complete lack of understanding of the physical world and lack of planning abilities put them way below cat-level intelligence, never mind human-level,” LeCun wrote in a response to Hinton on X last year.
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