Dry bulk shipping moves in long cycles of earnings, investment, and returns. A central question for any buyer is whether the level of industry-wide ordering carries information about the return on a vessel acquired today. Four decades of market data indicate that it does, and that the direction runs against what a strong freight market suggests.
Greenwood and Hanson, in a 2015 study published in the Quarterly Journal of Economics, examined monthly Clarksons data on dry bulk charter rates, secondhand prices, and the order book from 1976 to 2011. They measured the realised return to an investor who bought a five-year-old Panamax in the secondhand market, leased it on the time-charter market, and sold it later. Those returns varied enormously, from a low of minus 76 percent in the year to December 2008 to a high of plus 86 percent in the year to June 1979. The variation followed a pattern: high industry investment forecast low subsequent returns.
The starting point is the behaviour of earnings. The supply of bulk carriers is fixed in the short run, because building and delivering a new ship takes between 18 and 36 months. When demand for seaborne transport rises against a fixed fleet, charter rates climb quickly. Over the following months and years, owners order ships, the fleet grows, and rates fall back toward their long-run level.
Earnings therefore mean-revert strongly. In the data, monthly earnings are 96 percent correlated with the following month and only 20 percent correlated with earnings a year earlier. A high charter rate today says little about the charter rate two years out. The level of earnings also became more volatile over time: its monthly standard deviation was 2.15 million dollars before 2002 and 5.4 million dollars from 2002 onward, against a long-run mean near 2.5 million dollars.
Secondhand prices track earnings closely, with a correlation of 87 percent over the full period. The two move together because a ship is worth the cash flow it can earn. The link is imperfect in one important respect. When earnings are high, prices rise by proportionally less, which lifts the ratio of earnings to price. That pattern is consistent with owners understanding, at some level, that elevated earnings will fade.
Prices still move too much. Measured against the present value of plausible future cash flows at a constant discount rate, secondhand prices are far more volatile than the underlying earnings justify. At cyclical peaks, a constant-discount-rate calculation implies that buyers paid more than 100 percent above the level fundamentals would support.
The cycle around the 2008 peak shows the scale. A five-year-old Panamax leased for 5,325 dollars a day and sold for 14 million dollars in 2001. By December 2007 the same vessel commanded 61,000 dollars a day and 89 million dollars, a charter rate more than ten times higher and a price more than five times higher. By 2011 both had returned close to their 2001 levels.
The order book is where this tension becomes usable. Outstanding orders for new ships stood below 10 percent of the active fleet in December 2001, near the start of the boom. By August 2008 they exceeded 75 percent of the fleet. The first state preceded years of high returns; the second preceded the steepest collapse in the sample.
Across the full period the relationship is systematic. Industry investment, measured as deliveries net of demolitions, is negatively correlated with subsequent two-year returns, with a correlation of about minus 0.35. The forecasting regressions imply expected one-year-forward excess returns ranging from minus 43 percent at investment peaks to plus 16 percent at troughs. Demolition activity, a measure of disinvestment, carries the opposite sign: heavy scrapping forecasts high future returns.
A buyer acquiring tonnage when the order book is thin and demolition is high has the cycle in support. A buyer acquiring when the order book is swollen faces the reverse, even with current earnings strong.
A reasonable objection is that a competitive market should price this out. If heavy ordering reliably preceded weak returns, buyers would withhold capital at the top, and the pattern would close. Greenwood and Hanson attribute its persistence to two expectational errors working together.
Owners over-extrapolate demand shocks, treating a temporary jump in rates as more durable than it proves to be. They also partially neglect the investment response of competitors, underestimating how much new capacity the same high rates are calling forth across the rest of the industry. Each owner orders as though the boom will hold and as though rivals will stay idle. The combined effect is that the fleet overshoots, rates fall further than expected, and ships ordered at the peak deliver into a weak market. Formal estimation of their model finds that both errors are needed to fit the data; either one alone leaves the behaviour unexplained.
The practical use of this evidence is in timing. The order book and the demolition rate are observable in real time and require no view on the next move in freight. They indicate the state of the cycle and the direction in which returns are likely to be biased from current levels.
An acquisition made when the order book sits near record highs carries cyclical downside even when current earnings are strong, because the capacity that will depress future rates is already contracted and on its way to delivery. An acquisition made when ordering is subdued and older tonnage is leaving the fleet stands on firmer ground.
The four decades behind this evidence end in 2011, and the magnitudes will differ in any single cycle. The mechanism holds. Time-to-build still fixes supply in the short run, capacity still overshoots, and the order book still records the overshoot before it arrives. For a buyer weighing a significant capital commitment, the level of industry ordering is among the few observable measures that speak directly to the return on capital, and it often runs counter to the prevailing mood.