Tuesday, January 27, 2009

A correction would therefore portend the return of risk appetite and improved investor confidence.

From Alphaville, Stacy-Marie Ishmael:

"
Will CDS spreads tumble in February?

Fortis certainly thinks so.

The bank’s analysis, which is based on Didier Sornette’s research into bubbles (think US housing and oil circa 2008), holds that recent increases in CDS spreads in both US and European markets have reached unsustainable levels and are due for a correction - sharpish.

Per the report, by Peter Cauwels, Ken Bastiaensen and Amjed Younis:
Based on our findings, it is likely that the peak for the 4 major indices will be reached between the 2nd and the 12th of February, and as a result they will fall. This is particularly significant since these indices are closely watched as a “fear gauge” for Financial Markets, alongside the VIX Index, Libor-OIS spread and the spread between German bond yields versus other Euro Area government yields.

Their conclusion is based, in part, on the application of the mathematical model of Sornette’s general theory of crashes, which they backtested using the performance of the US dollar weighted average as a data series:

On December 5th, the toolset detected a bubble-like behavior and reported December 10th as most likely crash

Starting on December 9th, the DXY began a consecutive drop of more than 8% until December 17th. This drawdown was the largest since the start of the daily DXY index in 1971and can thus statistically be considered a crash.

In addition to this forward test, a wide range of historical crashes have been analysed and the results used for calibration.

The formula, which according to Fortis represents a so-called “log periodic power law” (LPPL), is given by:

p(t) ≈ A + B(tc - t)-β + C(tc - t)-β cos(ω log(tc - t) +ϕ )

Fortis believes four of the major CDS indices - the iTraxx Crossover and Main, and the CDX High Yield and Investment Grade - which all recently hit record highs, show a ‘bubble-like formation in spreads’, per the graphs below:

Fortis chart of the bubble in the iTraxx MainFortis chart of the bubble in the CDX IG

As for just what a bubble in CDS means:
… in the case of CDS, the spread can be viewed as the cost of buying protection against default and the bubble can be interpreted as a rush to buy protection at ever spiralling prices.

The fundamental picture does add weight to the thesis that the cost of protection could be overvalued. Viewing the implied probabilities as the breakeven levels when buying protection can be useful when assessing the value of CDS protection. For example, the iTraxx Crossover index is a 5Y contract that implies a projected default rate of 60% over the coming 5 years for the constituent companies 16.

The implied probability of default embedded in the spreads is higher than the realised default rate during the worst point in the Great Depression, and is higher than the 15.1% global default rate for speculative grade names projected by Moody’s for 200917. For European speculative grade issuers this is expected to rise to 18.3%. However this figure is not directly applicable to the iTraxx Crossover since the index also includes low investment grade names which normally have a lower default rate.

A correction would therefore portend the return of risk appetite and improved investor confidence.

Mark your calendars, then.

Related link:
Brace yourselves for record corporate defaults in 2009 - FT Alphaville

Here's my reply:

Don the Libertarian Democrat Jan 27 20:34
Since the spreads rose because of the fear and aversion to risk, they will fall when there is a diminution to the fear and aversion to risk. In other words, people will behave differently. What's the point of the math? Are they arguing that when spreads reach a certain point people automatically change their behavior? Or are they saying that,based on a few examples, expect the spreads to go down from here? It has a veneer of science to it, which, it seems to me, allows investors to place some trades feeling awfully damned proud of themselves. If it doesn't work out as planned, they can say that it's just a model. If it does, they can say it worked. In the end, the spreads will go down when investors start sensing a change in sentiment and putting money on it. I agree that's it's likely to be soon, and I base my view on the fact that someone is pitching this model in public. When investors start doing this, they're saying we're ready to ride, so who's with us? It's like a bike race, or drafting in Nascar."

Then Stacy-Marie's reply:

Stacy-Marie Ishmael, FT Jan 27 20:38
FT Alphavillain
Don - actually, and not fully represented here, some of the thinking behind the model fits precisely into that 'drafting in Nascar' paradigm. Here's some more from the note:

"Due to their very nature, financial markets exist of interacting players that are connected in a network structure. These interacting players, often referred to as interacting agents, are continuously influencing each other. In scientific literature it is said that such a system is subject to non-linear dynamics. Modeling such a system in full detail is practically impossible to do. That is why
the long-term behavior of the global economy or the weather is quite hard to predict. Recent research, however, has provided new tools to analyze complex non-linear systems without having to go through the simulation of all underlying interactions. When interacting agents are playing in a hierarchical network structure very specific emerging patterns arise"

(snip snip snip)

"These all fit in the framework of Complexity Economics, which describes the properties that emerge from interacting agents. It has become clear that herding behavior in financial markets results in positive or negative feedback mechanisms causing price accelerations or decelerations and (anti)-bubble formation, where asset prices become detached from the underlying fundamentals"

Then my reply:

Don the Libertarian Democrat Jan 28 01:41
Stacy -Marie,

Thanks. You are the best That's actually what I believe. I use Fisher's Debt-Deflation for what I call a Calling run. My approach comes from philosophy. Specifically, my view of the philosophy of action. Some of what is described fits in with my views about social theories in general, which are drawn from Anthony Giddens work on sociological theory. It does bear some relation to what used to be called Chaos Theory as well. It also helps understand what I call a Proactivity Run, which is what we are in. Businesses are trying to shed jobs before demand actually falls. This is my explanation of why productivity is still increasing for now. Namely, the layoffs are larger than the actual downturn in demand. All of this relates to the negative feedback loop of the fear and aversion to risk in a Calling Run, followed by a Proactivity Run. The next phase is a saving spree. What all these things have in common is panic. In that sense, my view, focused on human agency, is like Shiller's, or any of what we used to call Political Economy theories. I will look into complexity economics. I hope that some of what I said makes sense. What you should clearly understand is how much I appreciate and value your response.
Cheers, Don

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