Maintaining a “strong” Icelandic Krona

Pundits have spent the last months beating on U.S. Treasury Secretary Paulson over his apparent oxymoronic comments about “a strong Dollar”, but can you imagine what would have happened if they pursued the course Iceland has chosen?

Bloomberg reports:

Iceland’s central bank raised its key interest rate by a record 1.25 percentage points at an emergency meeting to halt a slump in the krona and a surge in inflation. The currency made its biggest ever jump against the euro.

Sedlabanki raised the repo rate to 15 percent, the Reykjavik-based bank said on its Web site today. It hadn’t planned to hold a rate meeting until April 10. It was “crucial” to reverse the krona’s decline “as quickly as possible,” the bank said.

The krona tumbled 17 percent against the euro in the past three weeks on concern that the global financial turmoil would make it harder for Iceland to finance one of the world’s largest current account deficits. The country risks “spiraling” wages and inflation if that decline isn’t pared, the central bank said. Inflation reached a one-year high of 6.8 percent last month.

I immediately recalled the 1992 Finland crisis, but upon cursory research, it appears that Iceland’s problems stem from too much of a good thing.

Still, how do you think the citizens would react if the FOMC sent rates up to 10% to halt the slide of the Dollar? Could it be that the “cure” would be worse than the disease? In present circumstances, might a weak Dollar be a competitive edge?

Further Reading: Financial Crises and Contagion, The World Bank Macroeconomics and Growth Research Program

Greenspan: No Perfect Model of Risk

Former FOMC Chairman Greenspan wrote a lengthy article in today’s Financial Times:

greenie.jpgCredit market systems and their degree of leverage and liquidity are rooted in trust in the solvency of counterparties. That trust was badly shaken on August 9 2007 when BNP Paribas revealed large unanticipated losses on US subprime securities. Risk management systems - and the models at their core - were supposed to guard against outsized losses. How did we go so wrong?

The essential problem is that our models - both risk models and econometric models - as complex as they have become, are still too simple to capture the full array of governing variables that drive global economic reality. A model, of necessity, is an abstraction from the full detail of the real world. In line with the time-honoured observation that diversification lowers risk, computers crunched reams of historical data in quest of negative correlations between prices of tradeable assets; correlations that could help insulate investment portfolios from the broad swings in an economy. When such asset prices, rather than offsetting each other’s movements, fell in unison on and following August 9 last year, huge losses across virtually all riskasset classes ensued.

The most credible explanation of why risk management based on state-of-the-art statistical models can perform so poorly is that the underlying data used to estimate a model’s structure are drawn generally from both periods of euphoria and periods of fear, that is, from regimes with importantly different dynamics.

Also by Greenspan: The Roots of the Mortgage Crisis