Monday, December 3, 2012
One, two, three, forex
Basics of foreign exchange
During the United States occupation of Iraq, at the American coffeehouse Starbucks, Bill Burbank made money by selling the same. From Middle Eastern suppliers, he bought 950 units of the Iraqi currency, the dinar, for a dollar – and sold them to Americans at the cafĂ© to the tune of 500 dinar for a buck. That was nearly double the original price.
Even amid the bloody occupation, speculators bought the dinar because they anticipated that Iraq would someday regain its feet and export oil, expanding its economy. As spending on Iraqi goods rose, demand for the dinar would increase, propelling its international price and blessing those who had bought it cheap.
That cunning typifies the market for foreign exchange (forex): Most currency trades are not to buy foreign goods but to take profits. In Kazakhstan’s stock exchange, dollar-and-tenge trades account for 99% of the forex market, averaging $4.8 billion (710 billion tenge) per month. Trading has been volatile but rising throughout 2012, according to data from the National Bank of Kazakhstan.
Most forex consists of bank deposits that traders swap – for example, a dollar account for a euro account. Swaps are easy in such a gargantuan market. By 1998, daily trading in traditional forex products alone, such as spot trades, was already $1.5 trillion. Future market growth will depend on whether expansion of world trade will offset the tendency to simplify transactions by adopting a major currency. The euro reduced forex trading between European countries, but entry of post-Soviet nations into world markets increased it, noted the New York branch of the U.S. central bank, the Federal Reserve.
Getting a head in the forex market
Half of all trades occur in the United Kingdom or the United States. Traders prefer London for its time zone; its morning corresponds to the late hours of Asian and Middle East markets, and its afternoon overlaps the morning hours of North American markets. By trading through London, a seller can find as many buyers as is possible, and vice versa, said the New York Fed.
Almost 90 percent of all trades involve the dollar, partly because it offers thick markets. Suppose that you would like to sell Kazakhstani tenge for Philippine pesos. Probably you will trade the tenge for dollars, then the dollars for pesos. The market for either currency in dollars is thicker than is the market of tenge for pesos, so the exchange rates for the dollar reflect better information. The dollar is a vehicle currency.
Between the two world wars, the dollar and the British pound sterling – so called because it was originally a pound of silver – were vehicle currencies. But as America's economy waxed and Britain's waned, the dollar supplanted the pound. Momentum for the dollar reinforced itself. As fewer people used the pound, it became harder to find someone who would sell it at the price you sought, so you would buy the dollar instead, explained the former Fed chairman Alan Greenspan. Someday (but certainly not today), the euro may challenge the dollar as the vehicle of choice, suggested Mark Wynne.
The dollar also plays a riskier role. In 2004 – and, for that matter, in 2012 -- speculators took advantage of low interest rates in the U.S. to borrow dollars in order to buy currencies that paid a higher rate of return. The dollar is a funding currency.
Since it is widely accepted, the dollar is convenient in black-market transactions such as drug deals. Here the euro may supplant the dollar. The largest U. S. denomination is the $100 bill, which is mostly held overseas, reported Michael Lambert and Kristin Stanton. The Europeans offer a 500-euro bill, worth about $650, which would enable black marketers to carry their ill-gotten gains inconspicuously.
International transactions both demand and supply foreign exchange. The Kazakhstani importer of a Japanese car must pay for it with yen. To obtain them, he pays tenge to his bank, which then cuts a check denominated in yen for the Japanese bank. The Kazakhstani bank’s yen come from Japanese importers of our oil, who pay their home currency to obtain tenge.
A generation or so ago, most forex trades paid for imports and exports. Today, financial transactions dominate the market. Mutual funds trade forex to improve their rates of return. So, speculators may plague any nation that tries to steady its exchange rate. When they assailed the franc in 1992, the finance minister recalled -- with a twinge of nostalgia -- that they had been decapitated during the French Revolution. Moral for risk lovers: Don’t lose your head. –Leon Taylor, tayloralmaty@gmail.com
Good reading
Federal Reserve Bank of New York. The foreign exchange market in the United States. Online. A worthy primer.
Robert L. Hetzel. German monetary history in the second half of the twentieth century: From the deutsche mark to the euro. Federal Reserve Bank of Richmond, Economic Quarterly. Spring 2002. Online. The source of the story about the French Revolution.
Craig Karmin, Bullish on Iraq: Average Joes place bets on the dinar. Wall Street Journal. April 23, 2004. Page A1. The source of the Starbucks story.
Mark Wynne. European Economic and Monetary Union (EMU). Federal Reserve Bank of Dallas, Expand Your Insight. February 1, 1999. Online.
References
Alan Greenspan. The euro as an international currency. Federal Reserve Board. November 30, 2001. Online.
Steve Johnson, Dollar drifting dangerously on overseas capital flows. Financial Times. March 19, 2004.
Michael J. Lambert and Kristin D. Stanton. Opportunities and challenges of the U.S. dollar as an increasingly global currency. Federal Reserve Board, Federal Reserve Bulletin. January 8, 2003. Online.
Friday, November 2, 2012
Pulling the trigger
When does stability destabilize?
Since February 2009, when the national economy was in the throes of a slowdown, the central bank has held the value of the currency to about 150 tenge to the United States dollar. This stability has surely made Kazakhstan more attractive to foreigners intent on building factories. But it also comes at a cost.
By defending the tenge’s foreign value, the National Bank deprives itself of the power to defend the currency's domestic value. Inflation may result. For example, suppose that world demand rises for the tenge, strengthening its foreign value to 120 tenge to the dollar. To bring the exchange rate back to 150 tenge, the National Bank may have to create more currency in order to satisfy the new demand. We thus have more tenge chasing the usual amount of products. Domestic prices will rise. In fact, Kazakhstan had an inflationary spike in April 2008, when consumer prices momentarily rose by more than 10% over the previous April. Although inflation is usually lower in Kazakhstan than in Russia, the former’s economy remains vulnerable to it.
What should sharpen our sense of danger is that a small open economy like ours faces a relatively large global demand for its currency. Changes in that demand can rock the tenge. When world oil prices escalate, demand will rise for Kazakhstani oil – and the tenge will rise, too. This is not an immediate problem, especially since one of our largest oil customers, China, has seen its economy cool off this year. But oil prices are volatile, and their sudden surge may force the National Bank to act so quickly as to create uncertainty about domestic prices. This may lead consumers to cut back spending – creating for themselves a nest egg – until they are surer of where the economy is headed. Due to less spending, Kazakhstan’s economy may stagnate.
In this light, we may be troubled that the rate of spending a tenge – called “velocity” -- has fallen steadily since 2000 (see the Notes). Velocity equals total spending on Kazakhstan products divided by the number of tenge. Evidently, the supply of tenge (cash and checking deposits) has long risen more rapidly than total spending has. The possibility of steep inflation someday is hard to dismiss. If, in some episode, the National Bank suddenly prints tenge in order to hold down the exchange rate, then it may trigger the inflation that has long remained latent. –Leon Taylor, tayloralmaty@gmail.com
Notes
1. For the M1 money supply, annual velocity has fallen from 4.0 in 2000 to 1.9 in 2011. The raw data for this calculation is from the National Bank of Kazakhstan.
Monday, October 29, 2012
Are we living in the fast lane?
Is the Age of Scarcity upon us?
If we could forecast the scarcity of such natural resources as oil, then we could remove much of the uncertainty in Central Asian economies that frightens investors. But analysts disagree over the extent of scarcity, largely because they differ over how to measure it.
Perhaps the most famous study of scarcity, by Harold Barnett and Chandler Morse, examined the cost of extracting resources in the United States from 1870 (the end of the Civil War era) to 1957. They treated rising extraction costs as signals of growing scarcity. In most extractive industries, unit costs fell, particularly after 1890. In fact, they fell even faster than those for non-extractive industries. The exception was the forestry.
Follow-up work found that extraction costs fell even more steeply from 1957 to 1970 – and that they kept falling in the 1970s for ferro alloys and nonferrous metals, noted a resource economist, Jeffrey Krautkraemer. However, extraction costs for coal and oil rose in the United States throughout the Seventies. Whether this was due to scarcity or to OPEC is a matter of conjecture.
Barnett and Morse explained that when extractors exhausted high-grade resources in most industries, they would discover low-grade resources in even greater abundance. Also, the rise in the price of a resource that has become scarce for a while would induce searches for new deposits and cheaper substitutes. Innovation has sharply cut extraction cost “even as the quality of exploited deposits has declined,” observed Krautkraemer.
Keep these data under your hat
Writing in 1963, Barnett and Morse didn’t consider the cost of energy in extraction. In 1991, Cutler Cleveland found that the costs of labor and manmade inputs (capital) in extraction had fallen because extractors were replacing these with fossil fuels. Were fuels becoming more scarce, then extraction costs in general should rise (which is exactly what some statistical studies of the Seventies didn’t find). Data on extraction cost are hard to collect, because producers regard them as confidential. And as a measure of scarcity, extraction cost is flawed because it looks backward; it does not directly reflect expectations of scarcity.
A measure that does reflect expectations is the cost of exploring for another unit of resources. An expected increase in profits down the road will fuel exploration and thus push up its cost at the margin.
Unless we find cheap new ways to extract resources, or to substitute for expensive ones, resource prices will eventually rise because of scarcity. The prices may follow a U-shaped curve over time, falling and then rising. In 1982, Margaret Slade reported evidence of this curve in the prices of 11 of 12 metals and fuels studied over the period from 1870 to 1978. Other studies confirm that the prices of exhaustible resources don’t always rise or fall. However, not all of such prices kept rising after the 1970s, which is what a U-curve price path might suggest.
It’s about time
Most statistical analyses of resource scarcity use data that change over time, called “time series.” An example is the annual price of oil from, say, 1970 to 2010. The methods used to examine time series have changed dramatically over the past 30 years. Old methods assumed that the basic traits of a time series did not change over time. For example, the price of oil would have the same basic average in any year, although random events – such as Mideast wars -- may cause the observed price to differ from this fundamental average in a particular year. Today, we know that most economic time series do change in basic ways over time. For example, the value of production in the United States – gross domestic product – has usually risen for two centuries. It would be difficult to argue that GDP has the same fundamental average now as it had in 1812. GDP is “nonstationary.” For such a time series, the usual statistical model is not accurate, because it assumes that given factors, such as the number of workers, will affect GDP in the same way over time when in fact the response of output to labor is changing. Unfortunately, this was the approach taken by many statistical studies of resource prices in the early Eighties.
One way to handle nonstationarity is to put the time series into a form with essential characteristics that do not change over time. Such a form is “stationary.” Although GDP may be nonstationary, the annual change in it may well be stationary. Another approach is to estimate a GDP model that explicitly controls for a time trend. In either case, once the time series is rendered stationary, we can apply the usual statistical techniques to it, since we no longer need to worry that the estimated parameters, which are assumed constant over time, may mislead us. We can then reverse-engineer the model in order to get forecasts of the original variable – say, in the level of GDP rather than its annual change. (The Notes offer an example.)
In 1996, Peter Berck and Mike Roberts took this approach in estimating the price paths of natural resources like oil. From an extension of Slade’s dataset, they used the annual price changes for their stationary time series. They found “only a weak supposition that natural resource prices will rise….We would predict rising prices but be much less surprised about being wrong than were the previous authors.” Price increases were most likely for zinc and copper. The Age of Scarcity remains a strong possibility, but it is not entirely clear that it already engulfs us. – Leon Taylor, tayloralmaty@gmail.com
Notes
Suppose that we estimate the following model for the price of oil in year t: P(t) = 2 P(t-1). According to this model, whenever the price of oil rises by one dollar in the previous year (t-1), it will rise by two dollars in the current year (t). This model may work fine for the time period over which it was estimated – say, from 1970 to 1990. But if the time series for oil prices is nonstationary, then the model may not fit other time periods. Using it to forecast the 2013 price of oil would be futile.
Suppose, then, that we estimate a model for the annual change in oil prices. Denote this change as D(t) = P(t) – P(t-1). Suppose that our new model is D(t) = .5 D(t-1). Also suppose that D(t) is stationary. Then the new model would fit time periods in general, and we could use it to forecast the 2013 price of oil. To do this, note that we can write the new model as P(t) – P(t-1) = .5 D(t-1). Rearrange this: P(t) = P(t-1) + .5 D(t-1). Specifying the values of these variables will give us the forecast: P(2013) = P(2012) + .5 D(2012). For example, if P(2012) is $100 and D(2012) is $10, then the forecast for 2013 is $105.
Good reading
J. A. Krautkraemer. Nonrenewable resource scarcity. Journal of Economic Literature 36(4). 1998. Pages 2065-2017.
References
Harold Barnett and Chandler Morse. Scarcity and growth: The economics of natural resource availability. Baltimore: Resources for the Future. 1963.
Peter Berck and Michael Roberts. Natural resource prices: Will they ever turn up? Journal of Environmental Economics and Management 31. 1996. Pages 65-78. Online as Working Paper 699, California Agricultural Experiment Station, Giannini Foundation of Agricultural Economics.
Cutler J. Cleveland. Natural resource scarcity and economic growth revisited: Economic and biophysical perspectives. In Robert Costanza, editor, Ecological economics: The science and management of sustainability. New York: Columbia University Press. 1991.
Margaret E. Slade. Trends in natural resource commodity prices: An analysis of the time domain. Journal of Environmental Economics and Management 9. 1982. Pages 122-137.
If we could forecast the scarcity of such natural resources as oil, then we could remove much of the uncertainty in Central Asian economies that frightens investors. But analysts disagree over the extent of scarcity, largely because they differ over how to measure it.
Perhaps the most famous study of scarcity, by Harold Barnett and Chandler Morse, examined the cost of extracting resources in the United States from 1870 (the end of the Civil War era) to 1957. They treated rising extraction costs as signals of growing scarcity. In most extractive industries, unit costs fell, particularly after 1890. In fact, they fell even faster than those for non-extractive industries. The exception was the forestry.
Follow-up work found that extraction costs fell even more steeply from 1957 to 1970 – and that they kept falling in the 1970s for ferro alloys and nonferrous metals, noted a resource economist, Jeffrey Krautkraemer. However, extraction costs for coal and oil rose in the United States throughout the Seventies. Whether this was due to scarcity or to OPEC is a matter of conjecture.
Barnett and Morse explained that when extractors exhausted high-grade resources in most industries, they would discover low-grade resources in even greater abundance. Also, the rise in the price of a resource that has become scarce for a while would induce searches for new deposits and cheaper substitutes. Innovation has sharply cut extraction cost “even as the quality of exploited deposits has declined,” observed Krautkraemer.
Keep these data under your hat
Writing in 1963, Barnett and Morse didn’t consider the cost of energy in extraction. In 1991, Cutler Cleveland found that the costs of labor and manmade inputs (capital) in extraction had fallen because extractors were replacing these with fossil fuels. Were fuels becoming more scarce, then extraction costs in general should rise (which is exactly what some statistical studies of the Seventies didn’t find). Data on extraction cost are hard to collect, because producers regard them as confidential. And as a measure of scarcity, extraction cost is flawed because it looks backward; it does not directly reflect expectations of scarcity.
A measure that does reflect expectations is the cost of exploring for another unit of resources. An expected increase in profits down the road will fuel exploration and thus push up its cost at the margin.
Unless we find cheap new ways to extract resources, or to substitute for expensive ones, resource prices will eventually rise because of scarcity. The prices may follow a U-shaped curve over time, falling and then rising. In 1982, Margaret Slade reported evidence of this curve in the prices of 11 of 12 metals and fuels studied over the period from 1870 to 1978. Other studies confirm that the prices of exhaustible resources don’t always rise or fall. However, not all of such prices kept rising after the 1970s, which is what a U-curve price path might suggest.
It’s about time
Most statistical analyses of resource scarcity use data that change over time, called “time series.” An example is the annual price of oil from, say, 1970 to 2010. The methods used to examine time series have changed dramatically over the past 30 years. Old methods assumed that the basic traits of a time series did not change over time. For example, the price of oil would have the same basic average in any year, although random events – such as Mideast wars -- may cause the observed price to differ from this fundamental average in a particular year. Today, we know that most economic time series do change in basic ways over time. For example, the value of production in the United States – gross domestic product – has usually risen for two centuries. It would be difficult to argue that GDP has the same fundamental average now as it had in 1812. GDP is “nonstationary.” For such a time series, the usual statistical model is not accurate, because it assumes that given factors, such as the number of workers, will affect GDP in the same way over time when in fact the response of output to labor is changing. Unfortunately, this was the approach taken by many statistical studies of resource prices in the early Eighties.
One way to handle nonstationarity is to put the time series into a form with essential characteristics that do not change over time. Such a form is “stationary.” Although GDP may be nonstationary, the annual change in it may well be stationary. Another approach is to estimate a GDP model that explicitly controls for a time trend. In either case, once the time series is rendered stationary, we can apply the usual statistical techniques to it, since we no longer need to worry that the estimated parameters, which are assumed constant over time, may mislead us. We can then reverse-engineer the model in order to get forecasts of the original variable – say, in the level of GDP rather than its annual change. (The Notes offer an example.)
In 1996, Peter Berck and Mike Roberts took this approach in estimating the price paths of natural resources like oil. From an extension of Slade’s dataset, they used the annual price changes for their stationary time series. They found “only a weak supposition that natural resource prices will rise….We would predict rising prices but be much less surprised about being wrong than were the previous authors.” Price increases were most likely for zinc and copper. The Age of Scarcity remains a strong possibility, but it is not entirely clear that it already engulfs us. – Leon Taylor, tayloralmaty@gmail.com
Notes
Suppose that we estimate the following model for the price of oil in year t: P(t) = 2 P(t-1). According to this model, whenever the price of oil rises by one dollar in the previous year (t-1), it will rise by two dollars in the current year (t). This model may work fine for the time period over which it was estimated – say, from 1970 to 1990. But if the time series for oil prices is nonstationary, then the model may not fit other time periods. Using it to forecast the 2013 price of oil would be futile.
Suppose, then, that we estimate a model for the annual change in oil prices. Denote this change as D(t) = P(t) – P(t-1). Suppose that our new model is D(t) = .5 D(t-1). Also suppose that D(t) is stationary. Then the new model would fit time periods in general, and we could use it to forecast the 2013 price of oil. To do this, note that we can write the new model as P(t) – P(t-1) = .5 D(t-1). Rearrange this: P(t) = P(t-1) + .5 D(t-1). Specifying the values of these variables will give us the forecast: P(2013) = P(2012) + .5 D(2012). For example, if P(2012) is $100 and D(2012) is $10, then the forecast for 2013 is $105.
Good reading
J. A. Krautkraemer. Nonrenewable resource scarcity. Journal of Economic Literature 36(4). 1998. Pages 2065-2017.
References
Harold Barnett and Chandler Morse. Scarcity and growth: The economics of natural resource availability. Baltimore: Resources for the Future. 1963.
Peter Berck and Michael Roberts. Natural resource prices: Will they ever turn up? Journal of Environmental Economics and Management 31. 1996. Pages 65-78. Online as Working Paper 699, California Agricultural Experiment Station, Giannini Foundation of Agricultural Economics.
Cutler J. Cleveland. Natural resource scarcity and economic growth revisited: Economic and biophysical perspectives. In Robert Costanza, editor, Ecological economics: The science and management of sustainability. New York: Columbia University Press. 1991.
Margaret E. Slade. Trends in natural resource commodity prices: An analysis of the time domain. Journal of Environmental Economics and Management 9. 1982. Pages 122-137.
Monday, September 3, 2012
Is the world still running out of oil?
Can Kazakhstan count on the blessing of rising oil prices?
When people forecast continued growth of the Central Asian economy, they usually assume that the prices of natural resources – such as oil, natural gas, and gold – will keep growing, too. How likely is this?
Those who foresee price hikes point out that as population and income keep growing, so will the demand for natural resources. Some resources, like oil, are finite; others, like whales, grow slowly. When demand for a resource grows faster than supply, its price will increase.
How can we tell when we may reach the point of scarcity for resources in general?
This is an old problem. In 1980, the late economist Julian Simon challenged biologist Paul Ehrlich (author of The population bomb) to a $1,000 bet over whether resources were becoming more scarce. Ehrlich invested $200 in each of five metals on the commodities market: Copper, chrome, nickel, tin and tungsten. In 1990, the bettors would assess the new prices of the metals.
Exploration may mitigate oncoming scarcity. The oil firm will spend more money to discover deposits until the additional bit of revenue from another discovery equals the additional cost. Up to that point, exploration tends to be profitable because the firm begins with its best prospects – fields that promise to yield a lot of oil at a relatively low cost.
New technology also delays exhaustion. For example, pelletization lowered the cost of producing steel, noted economist Tom Tietenberg. The producer extracts iron ore from taconite ore of a low grade and processes it at the mine. This cuts labor and energy costs.
Finally, when one resource becomes too costly to extract, we can often substitute a cheaper resource for it. To produce electricity, Kazakhstan has plans to substitute nuclear energy for coal-burning that incurs such environmental costs as air pollution that aggravates lung disease and carbon gases that strengthen global warming. Looking at the big picture, H. Goeller and Alvin Weinberg foresaw that, over the centuries, an “age of substitutability” would dawn in which virtually inexhaustible elements would replace the fossil fuels. “To reach this state without immense social disruption will, however, require unprecedented foresight and planning.”
The good ol’ days of copper
Indeed, the price increase of the exhaustible resource may induce firms to develop its substitute, in order to earn profits. Copper telephone wires today are valuable only to nostalgia buffs.
How can we gauge imminent scarcity? The most popular measure is the ratio of reserves to current consumption. If oil reserves are 40 times annual consumption, then we supposedly would run out of oil in 40 years.
Since the reserve-to-use ratio is a physical measure, it would make sense to count as reserves the entire endowment of the resource. In 1976, Goeller and Weinberg did just that, defining the endowment as the atmosphere, the oceans, and a one-mile-deep layer of earth. They computed reserve-to-use ratios for every element in the periodic table and for some compounds. The common element that would run out first, phosphorous, would last 1,300 years. For most elements, supply was practically unlimited. Exceptions included trace elements used in farming (cobalt, copper and zinc) -- and the fossil fuels (oil, coal and natural gas), “by far the most important scarce natural resource[s].” Some assumptions underlying the study may have been strong: Lower grades contained more of the resource; the economic and environmental costs of extraction were not prohibitive.
The reserve-to-use ratio is easy to interpret -- but inaccurate, because it treats scarcity as a physical concept. In truth, the market determines scarcity if we define it as unsatisfied demand at the given price. Such scarcity raises the price, which discourages consumption and encourages production, obviating the scarcity, be it physical or economic. In this cornucopian perspective, Goeller and Weinberg overstate the need for planning. A drop in the reserve-to-use ratio may predict impending abundance about as well as it does an impending shortage. In 1960, use-to-reserve ratios for gold, lead, mercury, silver, tin and zinc were less than 30 years. But we still have all of these resources.
So why not use movements in the market price to gauge whether scarcity in the near term is rising or falling? Well, markets are not well defined for all resources. The unregulated market for coal takes no account of the illnesses and storms that arise from coal burning, since a particular illness cannot be traced back to a particular power plant. The market price for coal is too low. The “market” for the fishery is a misleading concept, since no fisher owns a migratory school of fish. Since no fisher gains from conserving the school that he happens to be harvesting today, he will overfish. The result is that the price of fish is too low, because it does not represent the loss of fish to future consumers that occurs through overfishing.
Simon says…
Another possibility is to look at the profit rate for extracting, say, oil. The oil producer can choose between drilling and selling the oil today or doing so next year. If oil is becoming more scarce over time, then next year’s price ordinarily would be higher than this year’s, even though we adjust for inflation. To prevent a loss of profits, the oil producer would raise his price this year. The greater the expected scarcity, the greater the boost in the current price. This boost, called “scarcity rent,” thus measures expected scarcity. An example is the stumpage fee that timbermen pay for the right to cut.
Being a price increase, the scarcity rent is subject to the same weaknesses as a measure of scarcity as is the market price. In an unregulated market, an increase in pollution costs over time will not show up in the scarcity rent. And even when the rent accurately measures expected scarcity, it will not indicate whether this arises from an expected increase in demand or an expected decrease in supply.
Despite their flaws, economic measures of scarcity, such as the market price and the scarcity rent, at least account for a dimension that physical measures, like the reserve-to-use index, ignore – human behavior. Which brings us back to Simon’s bet.
In 1990, the market prices for all five metals in the bet had fallen, reported John Tierney. Ehrlich paid Simon $576. Simon then challenged Ehrlich to a $10,000 bet, based on any resources that Ehrlich wished to choose. Ehrlich took a pass. – Leon Taylor, tayloralmaty@gmail.com
Good reading
Harold Barnett and Chandler Morse. Scarcity and growth: The economics of natural resource availability. Baltimore: Resources for the Future. 1963.
H. E. Goeller and Alvin M. Weinberg. The age of substitutability. American Economic Review 68. December 1978. Pages 1-11. Reprinted from Science, February 20, 1976.
J. A. Krautkramer. Nonrenewable resource scarcity. Journal of Economic Literature 36(4). 1998. Pages 2065-2017.
Bjorn Lomborg. Environmental alarmism, then and now. Foreign Affairs. July/August 2012.
John Tierney. Betting on the planet. The New York Times Magazine. December 2, 1990.
Tom Tietenberg. Environmental and natural resource economics. Boston: Addison Wesley. Seventh edition. 2006. Chapter 14 discusses generalized resource scarcity.
Monday, August 20, 2012
Where’s the silver lining?
Are the banks of Kazakhstan long on cash and short on chutzpah?
A stark lesson of the 2008-9 financial crash is that reckless lending in real estate can create a price bubble that perpetuates itself…for a while. The complement may also hold: A lack of lending inhibits future loans. The hesitation of banks to lend conveys a pessimism about the economy that eventually infects potential investors.
Real estate and construction loans still comprise a large share of the loan portfolios of some banks, including 45% of Kazkommertsbank’s and nearly three-fourths of BTA’s, reported the business weekly Delovaya Nedelya. This concentration contributed to Standard & Poor’s downgrade three weeks ago of Kazkommertsbank, from “stable” to “negative.” Real estate prices have fallen by half since the bubble burst in mid-2008, reducing the collateral backing the loans, which themselves are often delinquent, noted Standard & Poor’s.
In general, construction's share of all industrial bank loans in Kazakhstan fell steadily after March 2011, when it was 19.1%, and most sharply after October 2011, falling to 14.9% by January 2012, or 3.2 percentage points lower than in January 2011, according to the National Bank of Kazakhstan.
Is this cooling-off auspicious? The answer is unclear. A rising share of construction in the economy (measured as gross domestic product, or GDP) is not always troubling. In an economy expected to grow rapidly, firms may add buildings in order to house future inputs. At present, investors do not seem to anticipate the 10%-plus rates of annual economic growth that Kazakhstan enjoyed before the financial crisis. Adjusted for inflation, the value of new physical capital in Kazakhstan has grown slowly or stagnated for several years. This hardly signals great expectations for the economy. The IMF projects a rate of economic growth of 6% or so through 2017.
Perhaps the country is still digesting the effects of the construction bubble. Adjusting for inflation, investment in fixed capital (durable and immobile inputs) in Kazakhstan was the same in 2011 as in 2010. New floor area in Kazakhstan more than tripled from 2003 to 2008, from 2.1 million square meters to 6.8 million, before leveling off at 6.4 million square meters in 2009 and 2010, according to the national statistical agency.
The cities dominate new construction. Almaty and Astana account for 38% of all new floor area in the country. This statistic leveled off in Almaty in 2010, at 1.1 million square meters; but it kept rising in Astana, to 1.4 million square meters. Although construction loans endangered the banks in 2008, new floor area kept increasing in the cities and is growing slightly faster in the oblast surrounding Almaty than in the city itself.
Bank credit in Kazakhstan grew 15% over 2011 after stagnating for three years, noted the International Monetary Fund (IMF). The banks still have lots of money that they could lend but don’t. Instead, they park much of it at the central bank (basically, the banks’ bank). The National Bank of Kazakhstan held as much as 5.5% of their assets in 2009, when their dread of risk was understandable, and 3.1% as late as March 2012, according to the IMF.
Pay it again, Sam
Not all of this mattress-stuffing is due to timidity. Some banks can’t lend their excess funds to those short on money, because the interbank market is sketchy. Other banks can’t find good borrowers. Real estate and construction firms propose fewer projects than before the crash.
Finally, the banks are saddled with bad debt. As a share of all loans, “nonperforming” ones (no interest paid in 90 days) quadrupled in 2009 to 21.2%...and kept rising, to 31.9% by March 2012. For BTA, which the government took over, it’s 80%. Moreover, overdue interest has increased from 2% to 7% of all bank assets. For banks like BTA that are trying to recover from bankruptcy – the polite term is that they have “restructured” – the figure rose from 3% to 17%. This suggests that the bad-loan ratio is higher than reported, said the IMF. However, the bad-loan ratio varies considerably from bank to bank. For Halyk, it is 8.3%, said Standard & Poor’s.
In general, the banks’ lack of lending renders them unprofitable. Their rate of return on assets was zero or negative from 2008 through 2010 and was only 1% in 2011, reported the IMF. In addition, a measure of the banks’ inability to cover bad loans – the assets-to-capital ratio – has been rising for more than two years.
“In the end, restoring the banking systems’ health requires recapitalizing viable banks and restructuring or closing unviable ones,” writes the IMF (wisely neglecting to define “viability”). “Capital shortfalls [roughly, the lack of money on hand to cover bad loans] represent public contingent liabilities, given the need to protect depositors and the fact that [Samruk-Kazyna, a government holding company] is the biggest shareholder in several large banks.” The capital shortfall for BTA alone is 2.5% of GDP. The government’s “Too Big to Fail” policy may be leading to another: “Too Big to Do Anything But Fail.” – Leon Taylor, tayloralmaty@gmail.com
Good reading
International Monetary Fund. Republic of Kazakhstan 2012 Article IV consultation. 2012. www.imf.org
References
National Bank of Kazakhstan. Statistical bulletin. Various issues. www.nationalbank.kz
Reuters. TEXT-S&P revises Kazkommertsbank's outlook to negative. July 31, 2012. Online.
Semen Skarga. Kazkommertsbank prodolzhaet “zarivat’sa” v nedvyzhymost’. (Kazkommertsbank continues to “bury itself” in real estate). Delovaya Hedelya. August 10, 2012. Page 1.
Tuesday, August 7, 2012
Genuine coin of the realm
The contents of the envelope were thousand-dollar bills, smooth and stiff and new. Spade took them out and counted them. There were ten of them. Spade looked up smiling. He said mildly: “We were talking about more money than this.”
“Yes, sir, we were,” Gutman agreed, “but we were talking then. This is actual money, genuine coin of the realm, sir. With a dollar of this you can buy more than with ten dollars of talk.”
I think of that passage from Dashiell Hammett’s classic detective novel, The Maltese falcon, whenever I hear happy talk about Kazakhstan’s allegedly resurgent economy. The usual story is this: Because foreign investors, in such surveys as Ernst & Young’s, say they believe in Kazakhstan, the nation will surely attract investment dollars that will pump up its economy. That’s not even five dollars of talk. Let’s look at what investors actually do.
Since the financial crisis of 2008-9, investment – which is the addition to manmade inputs of production -- has stagnated in Kazakhstan. Adjusted for inflation, the value of annual investment in fixed (i.e., durable) capital here was 1.8% lower in 2011 than in 2008. An index for the amount of physical investment in Kazakhstan fell steadily, and by nearly a fourth, from 2005 through 2011. Unfortunately, the national statistical agency, which publishes the index, is habitually careless and nowhere explains how it constructed the index or even defines it. But the index conveys a general sense of stagnation. Over the seven-year period, it fell in every oblast and in Almaty.
The exception was Astana, where the index rose by 15% over the period. This may partly reflect the stability of spending by the national government, which could attract lobbyists. As a share of gross domestic product (GDP), government spending in Kazakhstan peaked at 26.9% in the crisis year of 2008 and since has held steady at about 24%, according to the International Monetary Fund. By global standards, Kazakhstan’s government is small, as measured by its share of GDP; but its concentration in Astana makes the city a convenient target for investment. From 2003 through 2011, the real value of annual investment in fixed capital in Astana rose 240%.
Compared to that in Astana, investment in Almaty is struggling. From 2003 through 2011, the real value of investment in fixed capital rose only 75.7%, the second-slowest pace of the 16 areas in Kazakhstan. This annual investment had been about a fourth higher in Almaty than in Astana – until the financial collapse of 2008-09. Astana rebounded; Almaty didn’t. In 2011, investment was 38% higher in Astana than in its older sister city.
Great expectations?
Investment is based on market expectations; for example, a firm will expand its factory only if it believes that more buyers each year will demand its products in the future. Because expectations are ever-changing, investment anywhere is volatile. But it may introduce instability especially into rural oblasts, where the economic base is small. Of the 16 areas of Kazakhstan, from 2005 through 2011, the index of physical investment fell most sharply in the oblasts of Atyrau (38.7%), in the oil-producing region of the Caspian Sea; Kyzylorda (37.4%), east of the decimated Aral Sea; and of Zhambyl (40.9%), a low-income farming area north of Shymkent. Over the period 2003-11, the volatility of the investment index in Zhambyl oblast – where the Asian Development Bank and others are financing a road project worth several hundreds of millions of dollars -- was more than twice as high as in any other region; it also had the highest annual average of the investment index in that period.
In the oblast of South Kazakhstan, the value of investment in fixed capital increased eight-fold. In volume, however, physical investment there fell somewhat more sharply than was average for the nation – by 28% from 2005 through 2011. Perhaps the value of a new unit of fixed capital is rising sharply in the oblast.
In terms of investment, the most quiescent oblast is a rural one -- West Kazakhstan. Only in this area did real investment in fixed capital decline from 2003 through 2011, by 37.9%. It also had the lowest annual average of an index of physical investment from 2005 through 2011.
Judging from what they do – not what they say – real investors are only cautiously optimistic about Kazakhstan and are most enthusiastic about the prospects for political spending. – Leon Taylor tayloralmaty@gmail.com
Notes
All statistics used here are from the national statistical agency unless attributed otherwise.
I used the Consumer Price Index to adjust for inflation, since the CPI measures the opportunity cost of investment in terms of consumption bundles foregone.
Good reading
Dashiell Hammett. The Maltese falcon. 1930.
References
Aleksandr Bogatik. Kazakhstan’s Zhambyl Oblast faces stagnant economy. centralasiaonline.com . July 27, 2010.
Asian Development Bank. CAREC Transport Corridor 1 (Zhambyl Oblast Section) [Western Europe-Western People`s Republic of China International Transit Corridor] Investment Program - Tranche 4 : Kazakhstan. Online.
Economywatch.com . A compendium of economic statistics.
Monday, July 30, 2012
The year of the doddering dragon
Will the slowdown in China’s economy endanger Kazakhstan’s?
China buys one-eighth of the oil and gas exported from Kazakhstan (11 million tons per year; Kazakhstan produced roughly 80 million tons per year in 2010 and 2011), according to Robin Paxton of Reuters. Since oil and gas exports account for roughly a fourth of Kazakhstan’s GDP, a slowdown of the world’s second largest economy could affect us substantially.
The Chinese economy is growing less rapidly. GDP in the second quarter of 2012 grew by the annual rate of 7.6%; the corresponding rate in the second quarter of 2011 was 9.5%. Similarly, GDP in the first quarter of 2012 grew at an annual rate of 8.1%, sharply below the rate of that quarter in 2011. In the world financial crisis of 2008-2009, the growth rate of Chinese GDP fell as far as to 6.6% (which is still twice the current rate of global economic growth). Apparently, GDP in Q1 of 2012 was less than 2% higher than in Q4 of 2011, but much of that change might have been seasonal. Finally, China’s economy may be reacting to the globe’s: The International Monetary Fund (IMF) estimates that recession in Europe may reduce Chinese GDP by as much as 4%, reports Rob Minto of The Financial Times.
Indirect indicators of GDP are also murky. On one hand, industrial production is rising at a healthy annual pace, well over 9%. On the other hand, production of electricity, steel and concrete (an indicator of China’s construction market, the world’s largest) is slowing or falling, noted Keith Bradsher of The New York Times. Fixed-asset investment is down sharply this year, and urban housing prices have been falling since late 2009. These trends suggest that the government recognizes that the economy already has excess capacity. In that event, the GDP slowdown may be temporary.
Easy does it
The Chinese slowdown does not seem likely to affect global oil prices as much as the Eurozone crisis will. The Chinese handled well the global crash of 2008 as well as the Asian currency crisis of 1998, and they have improved their management of inflation over the past 20 years.
A soft landing of their economy seems likely. After resisting interest-rate cuts for three years, the central bank -- The People’s Bank of China -- has cut them twice in a month, amid cooling inflation, reported The Financial Times. This year the Bank also reduced the share of deposits that banks are not permitted to lend out.
Half of the GDP growth of 2012 was in capital spending, which Beijing can stimulate by permitting local governments to invest, according to Nick Edwards and Kevin Yao of The New York Times. Private consumption is only just over a third of GDP, so fiscal policy can be relatively powerful. China’s small debt could enable a fiscal stimulus that packs a wallop: The national government’s debt share of GDP is 25%, as compared to 102% in the United States, wrote Bob Davis and Tom Orlik of The Wall Street Journal. (In China, the GDP share of local government debt is another 22%.)
On the other hand, the fiscal stimulus of 2009-10, which focused on infrastructure, increased the debts of local governments and stimulated inflation. The IMF recommends a stimulus to private spending – tax cuts and subsidies for consumption of durable goods, reported Minto. The private sector’s share of the economy may already be growing: 2011 wages were up by 18%, a bit faster than GDP (with no adjustment for inflation), noted Orlik. Disturbingly, an increase in private or public consumption would likely increase the credit-to-GDP ratio, which was 171% in 2010, up from 122% in 2008, said The Economist.
The IMF forecasts that China’s economy will grow by 8% per year for the next five years, noted Ian Johnson of The New York Times. That had been Beijing’s target rate since 2005 until it lowered it to 7.5% this March. Before the financial crisis of 2008-09, Chinese growth rates averaged over 10% per year.
Financial investors may overstate the Chinese slowdown, to judge from circumstantial evidence. Although emerging market economies are growing more rapidly than developed economies, a stock market index for the former performs worse than is average, reported The Financial Times. The MSCI stock market index for emerging market economies has lost 21.7% of its value in the past year. The global version of that index lost 10.7%. Conceivably, stock markets in emerging economies perform poorly because investors over-estimate the Chinese slowdown and its subsequent impact.
Dragon on a cigarette break
To some degree, the Chinese slowdown may be intentional. The overall saving rate in China is 51%, and Michael Pettis, a finance professor at Peking University, argues that China must increase consumption’s share of its economy in order to provide balanced growth. To do this, China must “get household income to rise from its unprecedentedly low share of GDP,” he wrote in The Financial Times. “This requires China to increase wages, revalue the renminbi and, most importantly, reduce the enormous tax that households implicitly pay to borrowers in the form of artificially low interest rates.” If The People’s Bank does not cut market interest rates as rapidly as the expected rate of inflation has fallen, then real interest rates will rise. China could also boost consumption by providing comprehensive health care, for which households today must save, remarked The Economist.
Chinese demand for crude oil remains at a peak despite the fall in the rate of GDP growth, said UniCredit. If Chinese growth slows to 8% per year, then this could directly reduce Kazakhstan’s GDP by .06 of one percent. Conceivably, the indirect impact on Kazakhstan may be more severe: Each change in Chinese GDP of 1% relates to a change in global oil prices of 10% to 30%, claims Ruchir Sharma of Morgan Stanley. Obviously the estimate could hold only for small changes in the size of the Chinese economy; a fall of just over three percentage points in GDP is not going to cut oil prices to zero. The dragon is not that powerful. – Leon Taylor tayloralmaty@gmail.com
Notes
Chinese purchases of oil and gas directly generate about 3% of Kazakhstan’s GDP ((1/4)*(1/8) = 1/32). A Chinese slowdown of 2% could decrease our GDP by roughly (1/50)*(1/32) = 1/1600.
References
Jamil Anderlini. China cuts rates amid growth fears. Financial Times. July 5, 2012.
Keith Bradsher. Affirming slowdown, China reports second month of scant economic growth. New York Times. June 9, 2012.
Keith Bradsher. After barreling ahead in recession, China finally slows. New York Times. May 24, 2012.
Bob Davis and Tom Orlik. Beijing's growth tools are limited. Wall Street Journal. May 13, 2012.
Economist. How strong is China’s economy? May 26, 2012.
Economist. Not with a bang. July 28, 2012.
Nick Edwards and Kevin Yao. Hand forced, Beijing opts for old fix. Reuters. Published in New York Times. July 16, 2012.
Leslie Hook and Peter Marsh. Sany job cuts signal Chinese slowdown. Financial Times. July 4, 2012.
Ian Johnson. China’s growth rate slowed in the 2nd quarter. New York Times. July 12, 2012.
Rob Minto. IMF: Europe could hit China, hard. Financial Times. February 6, 2012.
Tom Orlik. Numbers show China’s still working. Wall Street Journal. May 29, 2012.
Robin Paxton. Update 3 -- Kazakhstan sees 50 pct oil export growth by 2020. Reuters. October 4, 2011.
Michael Pettis. A slowdown is good for China and the world. Financial Times. July 23, 2012.
Ruchir Sharma. China slows down, and grows up. New York Times. April 25, 2012.
Jochen Hitzfeld and Kathrin Goretzki. Weekly commodity outlook. UniCredit. July 3, 2012.
Wall Street Journal. Economists React: China GDP Growth Hits Three-Year Low. July 13, 2012.
Bettina Wassener. Slow first quarter in China, but recent signs of growth. New York Times. April 12, 2012.
Robin Wigglesworth. China slowdown fears overstated, says Mobius. Financial Times. July 27, 2012.
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