Posts Tagged heir
Synergy between various types of credit
Posted by admin in manufacturing, market demand, market forecasts, marketing, material costs on April 17th, 2010
Now that you’ve formalized your partnership—and are in a position to capitalize on it—start planning for the future. Strategic planning is the best way for partners to envision what will happen in the next few years.When partners plan together strategically, the synergy created is enormous. And the outcome is something your competitors can’t replicate because it exists only in the context of your partnership. No matter how hard they try, they cannot re-create that unique set of dynamics that is uniquely yours.
Some time ago I witnessed an example of this type of partnership synergy. At the time, I was participating in a workshop for a multimember partnership including the National Highway Safety Board, the California Department of Transportation, several automobile manufacturers, and some computer and software designers. They are dedicated to increasing auto safety and using technology to improve efficiencies. Their vision is to create a systemto provide interaction between the automobile and the road to enhance safety and performance. Electronic sensors embedded in the road surface will monitor traffic, surface conditions, and other useful information and relay it to the driver via a computer in the car. This data will be projected via a dashboard monitor or onto the windshield and also signal the optimum speed the car should be traveling under these conditions. Such a system could also indicate alternate routes should there be traffic delays or other obstacles.
Changes in credit quality
Posted by admin in Financial Advice, bonds, business, communication, consulting, economy, expenditures on October 22nd, 2009
With regard to the above-mentioned problems, rating migrations seem to be a more reliable indicator of changes in credit quality than default rates. Given that the risks of downgrade as well as default vary over time, the question is whether credit spreads compensate investors adequately.
Since the sample for the calculation of rating transition matrices is much broader than for default rates, they are less likely to be biased by changes of the rating agencies’ universe. To measure changes of credit quality over time, the ratings drift, that is the number of upgrades minus the number of downgrades, as a proportion of the total number of entities rated, can be a valuable indicator. A sample of high-quality issuers, however, will tend to have more downgrades than upgrades, and vice versa. Hence, variations of the ratings drift partly reflect changes in average credit quality over time.
As one would expect, credit spreads tend to rise when the ratio of upgrades to downgrades becomes worse.
The question, however, is, whether the credit spreads widen enough to compensate investors sufficiently for the deterioration of average credit quality that is reflected by a falling ratings drift. While predicting the direction of spread changes may help to make money on a mark-to-market basis, it is not adequate for buy-and-hold investors. They have to estimate the magnitude of the spread widening that corresponds to an observed deterioration of credit quality. Hence, the focus is purely on credit risk, while credit spreads also incorporate liquidity premia, and are influenced by technical factors and market sentiment.