5/31/2008

OT: Japanese woman caught living in man's closet

This article is kinda funny.... how could things like this have kept unnoticed for as long as a year!
Lots of comments and some are very good. One comment says: Charge her rent, or marry her? A tough decision... LOL!

5/25/2008

This should not be a black swan, either....

"Hence a national fall in nominal house prices is a perfect example of a “black swan” – an exceptional event that has not been covered in historically based models."
Is it?? Yeah...if you only look at the US.... but Japan suffered from continued slides in real estate price well over a decade after the bubble burst in early 1990's.

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Long View: Fall in US house prices heralds problems for all

By John Authers, Investment Editor

Published: May 23 2008 20:40 | Last updated: May 23 2008 20:40

Worriers are spoilt for choice at present. But there is probably nothing investors should worry about more than the future for US house prices. This applies even for those who live nowhere near the US.

The US housing market is wildly out of whack, with a huge overhang of 4.55m unsold houses. Data on Friday showed this backlog at a record level, which would take more than 11 months to clear if sold at a normal pace.

The median house price, according to government figures, is down 8 per cent from a year ago. The S&P Case-Shiller index, based on 20 large cities, suggests the problem is worse than this, with prices down 15 per cent in nominal terms since the peak in 2006.

There are various ways in which the market could return into balance. But what is most important is how prices adjust.

This may seem debatable. After all, lower prices should mean that more people can afford their own home. Another way to bring the market into balance, a slowdown in construction, would have nasty economic consequences of its own.

But prices are more important. This is firstly because of their impact on the economy. There is a debate over what economists call the “wealth effect” – the tendency of homeowners to spend more when they feel wealthier due to their extra wealth on paper. But when prices were going up, this effect looked substantial.

The dramatic rise in real house prices coincided with an epic collapse in US savings, as shown in the graphic. It reached the point where the savings rate became negative, so that Americans spent more than they earned.

It follows that the risk of a negative wealth effect is now quite severe. Consumer confidence surveys, showing sharp falls in recent months, confirm this.

Second, there is the impact on markets. Last year’s credit crisis was sparked by fears about defaults on subprime mortgages. As it dawned that many people had been given mortgages who could not afford them, the question arose of how many would eventually default. The ultimate damage that the financial sector will suffer, with all its knock-on effects for the global economy, appears to depend on US house prices.

According to Janet Yellen, governor of the San Francisco Federal Reserve, “the single most important determinant of the level and change in subprime delinquency rates has been the pace of house price changes”. The problem arose as prices stopped accelerating upwards and grew worse as prices fell.

Lower house prices tend to diminish the incentive for owners to attempt to hold on to their houses.

They become more likely to abandon the keys or to acquiesce to a foreclosure. This is most true if they have fallen into “negative equity”, where the value of the equity left in the house is less than the loan. And Americans’ percentage of equity in their homes has fallen below 50 per cent for the first time since 1945.

So it is reasonable to suggest that the ultimate default rate on the “toxic” debt instruments that have caused the problems in the credit market also depends on house prices.

This leads markets to a final, profound problem: unpredictability. Nobody has modelled the historical experience of default rates in response to negative equity, because there is no historical experience of it.

Similarly, there is no experience of national house prices falling so sharply in nominal terms.

Such evidence as there is suggests prices could fall further. If houses are valued as a multiple of the rent they would fetch (a version of a price/earnings multiple), they appear overvalued by 90 per cent compared with historic norms.

Much of the house price boom was based on buyers’ belief that such a fall was impossible. Ben Bernanke, Fed chairman, said in 2005 that the US had “never had a decline in housing prices on a nationwide basis”. Such a fall is under way.

Hence a national fall in nominal house prices is a perfect example of a “black swan” – an exceptional event that has not been covered in historically based models. Such events, widely discussed in recent months, can lead to extreme and unpredictable responses in financial markets.

The policy response adds a further dimension of uncertainty. There is a case for the US government to intervene to keep prices from falling too far. This would limit harm to society and to capital markets.

But any government intervention in a market’s natural clearing mechanism opens the risk of unpredictable distortions.

With no experience to fall back on, there are many ways in which the US might intervene. And, of course, the identity of the US president a year from now is uncertain.

Candidates have not even made up their own minds. John McCain, for example, ruled out any help for people who had “made bad decisions”, only to say just weeks later that his first priority was to keep “well-meaning, deserving homeowners who are facing foreclosure in their homes”.

It all adds up to parabolic uncertainty – the kind that markets find most difficult and that investors should find most worrying.

[Book Review] Influence: The Psychology of Persuasion

An outstanding account about how the human mind is influenced

We are all consumers of goods and services in some way or another, and I am glad I read this…. hopefully I should have done so much earlier, but certainly better late than never. The author discusses how the psychological mechanism works in making decisions, saying “yes” to a request, how our decisions are influenced/swayed, and how we can prevent ourselves from the situations where we likely end up making unwanted decisions and/or being exploited by ill-intended profiteers. In so doing, the six underlying principles: reciprocation, commitment/consistency, social proof, liking, authority, and scarcity, are introduced with ample examples from various intriguing researches, and how these potent influencers can be commissioned by those who want us to consciously or unconsciously comply with their requests. Used with due professional ethics, the six principles can be very effective marketing tools, but we as consumers would be certainly better equipped with understanding of the principles when dealing with someone who tries to pull a trick or two.

subprime: not a black swan...

Agree with the author of the article. The U.S. real estate bubble had been addressed long, long before the subprime, notably by Professor Robert Schiller. I presume many investors anticipated the burst coming sooner or later, yet until when keep riding the bubble and when to jump off, hopefully right before it bursts, is almost impossible to figure out......



The Short View: Black Swan

By John Authers, Investment Editor

Published: May 13 2008 18:42 | Last updated: May 13 2008 18:42

Black swans have taken their place in the investment menagerie, alongside bulls, bears and dead cats. It is barely a year since Nassim Nicholas Taleb’s best-selling book Black Swan was published, but the phrase has worked its way into the investment language.

And like other market concepts, it is already subject to abuse. Taleb took his title from the shock that Europeans experienced when they discovered black swans in Australia. Until then, their data told them that all swans were white, so the discovery was unexpected.

A black swan in markets is an event that has not occurred in the past, thus rendering useless risk management models based on historic data. Such a risk model would assume that all swans were white.

Mr Taleb suggests his idea has been misunderstood. The problem, he told the CFA Institute this week, is not that black swans occur often. Rather, it is that they have truly catastrophic and unpredictable effects when they do happen, and so risk managers should concentrate on guarding against them.

His concept caught on so quickly in large part because the financial crisis that started in August last year revealed, as predicted, that the investment industry’s risk management systems were inadequate.

But is the subprime crisis truly a black swan? To call it that might be a convenient excuse. It had been widely noted for more than a year that credit spreads were untenably narrow; US homebuilders’ stocks peaked and started to fall in late 2005; and subprime lenders’ bankruptcies hit the headlines in February last year. This looks like ample warning for a crisis that started in August.

It should have been much easier for risk managers to foresee the credit crisis than it was for European explorers to predict the existence of black swans in Australia.

5/04/2008

Emilie-Claire Barlow: Unforgettable voice!

Some of adjectives that come to my mind to describe Emilie-Claire Barlow's voice is smooth, clear, pure, beautiful yet sweet and playful, swinging with a touch of lightness…, and is certainly something unforgettable once you have heard. All the songs covered here are great, but I find especially the first two, “The Very Thought Of You” and “Almost Like Being In Love”, just fabulous. While her previous CD “Like a Lover”, especially the title track, was also superb, her voice in this CD sounds much more colorful and wonderfully expressive.
Emilie-Claire Barlow's official web site
Her blog site

5/03/2008

Quantifying Risks: FT article

http://www.ft.com/cms/s/0/9c3a97f8-187e-11dd-8c92-0000779fd2ac.html?nclick_check=1

Long View: When it's time to ask for whom the bell curve tolls

By John Authers, Investment Editor

Published: May 2 2008 21:31 | Last updated: May 2 2008 21:31

"Do you know what a bell curve is? It's a curve, shaped like a bell."

London mayoral candidate Boris Johnson, speaking at the Oxford Union in 1985

As investors we put a lot of weight on the bell curve, perhaps too much weight, and certainly more than we realise. Our investment and risk decisions depend on it. Mr Johnson was describing what statisticians call the "normal distribution," which frequently recurs in nature. As the diagram shows it is, indeed, shaped like a bell.

In nature, all kinds of phenomena – from the height of humans to the number of peas in a pod – follow this distribution. And the assumption that investment returns also follow a bell curve is the building block for a system which is central to the way fund managers approach risk. Known as "Value at Risk" or "VaR", all MBA students learn about it early on at business school.

The diagram shows how it works. Armed with a good sample of past results, statisticians can predict future results with some confidence. Most will be clustered around the mean in the centre. Typically for stocks, this will be a moderate profit. Better returns to this are on the right side of the bell, with outlying strokes of great fortune on the far right. The really nasty losses will all be on the left hand side of the bell, known as the tail.

Using statistical techniques that work in the natural sciences, a risk manager can now work out the risk of such a loss. The line in the diagram shows the level of losses which will happen only 1 per cent of the time. In the jargon, a risk manager can now say that "with 99 per cent confidence" their value at risk is the amount of money that is lost at that point. There is a 99 per cent chance that the investment will do better than that.

If the VaR at this point is too much to swallow, then the risk manager will take steps to move to reduce their risks. It can be a useful common sense tool for thinking about risk.

The problem is that VaR has become ubiquitous. Regulators and ratings agencies allow banks to decide how much capital they should have using VaR models. Since the credit crisis started, VaR has come in for criticism. One problem is that it is backward looking. If the past sample of investment returns was gleaned from
a period of low volatility and strong stock returns, as we had from 2003 to 2007, they will not be much use in navigating the current situation. UBS, which has needed to raise more capital, blamed this in part on its VaR model which was "based on five years of data, whereby the data were sourced from a period of relatively positive growth".

VaR also does not take account of what are now known as "black swans"
– extreme events that have not happened in the past. These can lead to extreme results, or change the shape of the bell for the future. The unprecedented fall in US national house prices may be such a black swan.

Still another argument is that if everyone moves to the same place on the bell curve – where they expect a good return for little risk – they will change the shape of the curve. If everyone crowds into the same investments, they will create the conditions for sudden reversals and extra volatility. That inflicted bad losses on many fund managers last summer.

A new objection which I saw aired last month for the first time is even more profound. Even if we do follow a bell curve, VaR can lead to excessive risk.

David Einhorn, a New York hedge fund manager, offers the following example: you are offered odds of 127 to one on $100 that when you toss a coin, heads will not come up seven times in a row. The chance that you will win is 99.2 per cent. So you can say with 99 per cent confidence that you have no value at risk. Using a VaR model, a bank could hold no capital to guard against a loss on this bet.

But in fact there is a 0.8 per cent chance (not an unimaginable black swan) that they will lose $12,700.

What risk managers need to know, according to Mr Einhorn, is what will happen in the "tail" – the 1 per cent of the time when things go wrong. By ignoring the tails, he says, "it creates an incentive to take excessive but remote risks". It also "creates
a false sense of security". Where does this leave us? Risk managers have made horrible mistakes in the past year. But VaR might still have its uses. Academics are working on improvements to VaR, using computers to "stress test" their assumptions for black swan events, or trying to model the effects when many investors make the same decisions. Critics, such as James Montier of Société Générale, lambast VaR as "pseudoscience". "Simply because something can be quantified doesn't mean that it is sensible," he says. "There is no substitute for rigorous critical or sceptical thinking."

He is right about this. But like other tools taught at business school, quantifying risks can be useful, provided they do not take the place of common sense, or imagination. In future, risk managers and investors should use their quantitative tools, and then think much more carefully about what could go wrong.