Monthly Archive for May, 2009

Save the World, Kill the Newspaper Industry

I have these McKinsey reports, but not time to read right now. Fortunately, Paul Kedrosky has read and commented:

Here is a ranking of the top U.S. industry sectors according to the amount by which U.S. energy usage would decline in a moderate economic decline from 2010-2020:

  1. Light-duty vehicles (-1.8)
  2. Pulp and paper (-0.8)
  3. Refining (-0.5)

* All measured in quadrillions of BTUs (QBTUs)

Turns out the wiping out the newspaper industry has some unexpected benefits.

[via McKinsey]

[Update] Here is the full chart:

iea-sectors

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McKinsey on the New Oil Shock

I have these McKinsey reports, but not time to read right now. Fortunately, Paul Kedrosky has read and commented:

A new McKinsey report is out arguing that an oil shock is inevitable, and it could come sooner than expected. When? As early as 2010, under the firm’s “moderate” economic downturn scenario, and as late as 2013 if the downturn is more harsh.

oil-shocks

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NBER: Understanding Inflation-Indexed Bond Markets

John Y. Campbell, Robert J. Shiller, Luis M. Viceira

—- Abstract —–

This paper explores the history of inflation-indexed bond markets in the US and the UK. It documents a massive decline in long-term real interest rates from the 1990’s until 2008, followed by a sudden spike in these rates during the financial crisis of 2008. Breakeven inflation rates, calculated from inflation- indexed and nominal government bond yields, stabilized until the fall of 2008, when they showed dramatic declines. The paper asks to what extent short-term real interest rates, bond risks, and liquidity explain the trends before 2008 and the unusual developments in the fall of 2008. Low inflation-indexed yields and high short-term volatility of inflation-indexed bond returns do not invalidate the basic case for these bonds, that they provide a safe asset for long-term investors. Governments should expect inflation-indexed bonds to be a relatively cheap form of debt financing going forward, even though they have offered high returns over the past decade.

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Exploding debt threatens America

Stanford economist John Taylor is very worried

Standard and Poor’s decision to downgrade its outlook for British sovereign debt from “stable” to “negative” should be a wake-up call for the US Congress and administration. Let us hope they wake up.

Under President Barack Obama’s budget plan, the federal debt is exploding. To be precise, it is rising – and will continue to rise – much faster than gross domestic product, a measure of America’s ability to service it. The federal debt was equivalent to 41 per cent of GDP at the end of 2008; the Congressional Budget Office projects it will increase to 82 per cent of GDP in 10 years. With no change in policy, it could hit 100 per cent of GDP in just another five years.

“A government debt burden of that [100 per cent] level, if sustained, would in Standard & Poor’s view be incompatible with a triple A rating,” as the risk rating agency stated last week.

I believe the risk posed by this debt is systemic and could do more damage to the economy than the recent financial crisis. To understand the size of the risk, take a look at the numbers that Standard and Poor’s considers. The deficit in 2019 is expected by the CBO to be $1,200bn (€859bn, £754bn). Income tax revenues are expected to be about $2,000bn that year, so a permanent 60 per cent across-the-board tax increase would be required to balance the budget. Clearly this will not and should not happen. So how else can debt service payments be brought down as a share of GDP?

Inflation will do it. But how much? To bring the debt-to-GDP ratio down to the same level as at the end of 2008 would take a doubling of prices. That 100 per cent increase would make nominal GDP twice as high and thus cut the debt-to-GDP ratio in half, back to 41 from 82 per cent. A 100 per cent increase in the price level means about 10 per cent inflation for 10 years. But it would not be that smooth – probably more like the great inflation of the late 1960s and 1970s with boom followed by bust and recession every three or four years, and a successively higher inflation rate after each recession.

<snip>

The time for such excuses is over. They paint a picture of a government that is not working, one that creates risks rather than reduces them. Good government should be a nonpartisan issue. I have written that government actions and interventions in the past several years caused, prolonged and worsened the financial crisis. The problem is that policy is getting worse not better. Top government officials, including the heads of the US Treasury, the Fed, the Federal Deposit Insurance Corporation and the Securities and Exchange Commission are calling for the creation of a powerful systemic risk regulator to reign in systemic risk in the private sector. But their government is now the most serious source of systemic risk.

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Google Book Search Settlement

Here’s Wired.com’s guide through the thicket of the Google Book Search Settlement.

[...] Google is a search engine, right? What do words printed on dead trees have to do with it?

Google claims its mission is to “organize the world’s information and make it universally accessible and useful.” If that’s your goal, then a library full of books makes you salivate in hunger for the knowledge held inside. So in partnership with major university libraries, Google began scanning and digitizing millions of books in 2002, from ones like Chaucer’s Canterbury Tales that are no longer copyrighted to the Harry Potter series to books whose authors and publishers cannot be located. The idea is simple, and audacious. Make the library of all libraries by converting every book ever published into an e-book that can be indexed, searched, read — and sold — online.

That’s cool! Where can I find this?

Go to Google Book Search, for one. You might also see book snippets in Google’s Web search results.

How many books are in there already?

Google has scanned more than 7 million books as of April 2009.

Can I download or buy old books through Google right now?

Yes and no. Google lets you download any book it has scanned that is not in copyright in the U.S. anymore – books that have fallen into the public domain. For other books, it shows up to 20 percent of the text, and usually includes links to places to buy it online.

What about new books? Are they included?

Most are, but that’s through Google’s Partner project that lets publishers and authors decide how much or how little of their books go into Google’s index, as well as letting them get a portion of the money from ads shown next to their book pages.

How did Google get away with scanning 7 million library books?

Well, there’s no problem with scanning millions of public domain books so long as you have the cash, cool technology and cachet to convince some of the world’s best libraries to work with you. As for in-copyright books, Google says it has the right to scan and index them, and show snippets online, under the Fair Use doctrine, which carves out exceptions to copyright holders’ rights. Being a massive company, mostly loved by users, also helps.

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Wolfram Alpha

Another remarkable Stephen Wolfram project — a “computational knowledge engine”. Alpha is so ambitious it is impossible to estimate the possibility of success. But you must try it.

The home page is nearly blank. At the center, just below a colorful logo, you’ll find an empty data field. Type in a phrase, hit Return, and knowledge appears.

No, it’s not Google. It’s Wolfram|Alpha, named after its creator, Stephen Wolfram, a 49-year-old former particle physics prodigy who became bewitched by the potential of computers. He invented a powerful computational software program (Mathematica), built a company around it (Wolfram Research), and wrote a massive book (A New Kind of Science) that claims to redefine the universe itself in terms of computation.

So when Wolfram asked me, “Do you want a sneak preview of my most ambitious and complex project yet?” he had me at “Do.”

The product of four years of development, Alpha is an engine for answers. Its ambition is to delve into “all the knowledge in the world,” Wolfram says, to find and calculate information. Though Alpha’s interface evokes Google ― whose co-founder Sergey Brin once spent a summer interning for Wolfram ― it’s more like the anti-Google.

Type in a query for a statistic, a profile of a country or company, the average airspeed of a sparrow ― and instead of a series of results that may or may not provide the answer you’re looking for, you get a mini dossier on the subject compiled in real time that, ideally, nails the exact thing you want to know. It’s like having a squad of Cambridge mathematicians and CIA analysts inside your browser.

Type in “Pluto” and Alpha calculates the dwarf planet’s distance from Earth at that very instant. Bang out a series of letters like “ACTCGTC” and Alpha recognizes it as genetic code and tells you what strand of DNA that particular gene lives on and what we know about it. Wolfram has licensed ― or created ― a whole library of databases and massaged them so the information is pliable. (To date, they include Wikipedia, the US Census, and “about nine-tenths of what you’d see on the main shelves of a reference library,” he says.) Combined with the near- magical abilities of Mathematica, Alpha is a powerful computational engine that can effortlessly answer queries that no one has asked of a search engine before.

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Semantic web maven Nova Spivak, the CEO of Radar Networks, wrote a longer reaction to Alpha for Techcrunch (following a two hour demo by Wolfram). Excerpt:

Where Google is a system for FINDING things that we as a civilization collectively publish, Wolfram Alpha is for ANSWERING questions about what we as a civilization collectively know. It’s the next step in the distribution of knowledge and intelligence around the world — a new leap in the intelligence of our collective “Global Brain.” And like any big next-step, Wolfram Alpha works in a new way — it computes answers instead of just looking them up.

Wolfram Alpha, at its heart is quite different from a brute force statistical search engine like Google. And it is not going to replace Google — it is not a general search engine: You would probably not use Wolfram Alpha to shop for a new car, find blog posts about a topic, or to choose a resort for your honeymoon. It is not a system that will understand the nuances of what you consider to be the perfect romantic getaway, for example — there is still no substitute for manual human-guided search for that. Where it appears to excel is when you want facts about something, or when you need to compute a factual answer to some set of questions about factual data.

I think the folks at Google will be surprised by Wolfram Alpha, and they will probably want to own it, but not because it risks cutting into their core search engine traffic. Instead, it will be because it opens up an entirely new field of potential traffic around questions, answers and computations that you can’t do on Google today.

The services that are probably going to be most threatened by a service like Wolfram Alpha are the Wikipedia, Metaweb’s Freebase, and any natural language search engines (such as Microsoft’s upcoming search engine, based perhaps in part on Powerset’s technology among others), and other services that are trying to build comprehensive factual knowledge bases.

As a side-note my own service, Twine.com, is NOT trying to do what Wolfram Alpha is trying to do, fortunately. Instead, Twine uses the Semantic Web to help people filter the Web, organize knowledge, and track their interests. It’s a very different goal. And I’m glad, because I would not want to be competing with Wolfram Alpha. It’s a force to be reckoned with.

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Given the Mathematica foundations, Alpha does math in ways that students are going to love. E.g., try “lim(x->0) x/sin x” .

Secrets of Googlenomics

Varian believes that a new era is dawning for what you might call the datarati—and it’s all about harnessing supply and demand. “What’s ubiquitous and cheap?” Varian asks. “Data.” And what is scarce? The analytic ability to utilize that data. As a result, he believes that the kind of technical person who once would have wound up working for a hedge fund on Wall Street will now work at a firm whose business hinges on making smart, daring choices—decisions based on surprising results gleaned from algorithmic spelunking and executed with the confidence that comes from really doing the math.

Wired has an excellent piece based on Hal Varian’s talk at the AEA meeting in SF. This is one of the best general-readership pieces I have seen on Google’s secret sauce for auctions in everything:

In the midst of financial apocalypse, the gadflies and gurus of the global marketplace are gathered at the San Francisco Hilton for the annual meeting of the American Economics Association. The mood is similar to a seismologist convention in the wake of the Big One. Yet surprisingly, one of the most popular sessions has nothing to do with toxic assets, derivatives, or unemployment curves.

“I’m going to talk about online auctions,” says Hal Varian, the session’s first speaker. Varian is a lanky 62-year-old professor at UC Berkeley’s Haas School of Business and School of Information, but these days he’s best known as Google’s chief economist. This morning’s crowd hasn’t come for predictions about the credit market; they want to hear about Google’s secret sauce.

Varian is an expert on what may be the most successful business idea in history: AdWords, Google’s unique method for selling online advertising. AdWords analyzes every Google search to determine which advertisers get each of up to 11 “sponsored links” on every results page. It’s the world’s biggest, fastest auction, a never-ending, automated, self-service version of Tokyo’s boisterous Tsukiji fish market, and it takes place, Varian says, “every time you search.” He never mentions how much revenue advertising brings in. But Google is a public company, so anyone can find the number: It was $21 billion last year.

<snip>

Googlenomics actually comes in two flavors: macro and micro. The macroeconomic side involves some of the company’s seemingly altruistic behavior, which often baffles observers. Why does Google give away products like its browser, its apps, and the Android operating system for mobile phones? Anything that increases Internet use ultimately enriches Google, Varian says. And since using the Web without using Google is like dining at In-N-Out without ordering a hamburger, more eyeballs on the Web lead inexorably to more ad sales for Google.

The microeconomics of Google is more complicated. Selling ads doesn’t generate only profits; it also generates torrents of data about users’ tastes and habits, data that Google then sifts and processes in order to predict future consumer behavior, find ways to improve its products, and sell more ads. This is the heart and soul of Googlenomics. It’s a system of constant self-analysis: a data-fueled feedback loop that defines not only Google’s future but the future of anyone who does business online.

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Honey, I’m Done with the Whole Treasuries Thing

Paul Kedrosky on the yield curve:

It’s admittedly an excruciatingly boring subject, one made worse by the ghoulish personalities of most people who talk about such things, but there is no denying that hugely important developments are underway in Treasury yield curves. Check the following two figures to see the rapid steepening under way — the tail in the first graph shows changes in last 30 days; the following graph is declining prices year-to-date of Treasuries at various durations. I

yield-curve
tlt-curve

In short (no bond pun intended), rates are going up in spiffy fashion as investors decide that Treasuries aren’t really that much fun for holidaying any more. Next crisis they want to vacation elsewhere.

El-Erian Sees “New Normal”

May 19 (Bloomberg) — Mohamed El-Erian, chief executive officer of Pacific Investment Management Co., talks with Bloomberg’s Ken Prewitt and Tom Keene about redefining growth expectations for global markets.

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The fine line between too much inflation and a W-shaped recession

Felix Salmon:

David Riley, the head of sovereign ratings at Fitch, gave the first big presentation at the Fitch banking conference today — and quite rightly, too. The future of banking is inextricable from public finance and macroeconomics: looking at things on a bank-by-bank level ensures that you’ll miss the big picture. His presentation was a good one, and definitely worth blogging.

Riley’s message was simple, after a recap of what happened in the Great Depression and in Japan and in Sweden: the faster that governments move the better, and the stronger their initial response the better. Don’t worry, at least in the short term, about inflation, in an environment such as this one which is fundamentally disinflationary: instead, worry about a multi-year decline in the total quantity of bank credit, which will continue even after the recession has ended, and which will put a medium-term cap on future growth.

<snip>

“I think that there is a serious risk that we get a W-shaped recession”, he said, with the current fiscal stimulus running its course over the next year and the economy falling back into recession. “As we saw in Japan,” he said, “if you tighten policy too soon, if you leave it too late, then you start getting concerns about solvency and inflation risk.” Guess he’s happy he’s not a central banker these days.

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