Archive for the ‘loans guide’ Category

A systematic approach to payday loans (2010-4-26)

A less obvious partnership would be in the development of new products, services, or technologies designed to meet future customer needs. New partnerships offer the opportunity to be partners by design. These new partnerships offer more options because the organization is limited only by its imagination. But selecting the right partner can be a daunting [...]

Don’t get dominated by your payday loan (2009-12-19)

To simulate a realistic decision-making process we apply a backtesting methodology. Sample means and risk measures are estimated for the subperiod January 1987 to September 1998. In those cases where the return series is adjusted for autocorrelation the estimation of the desmoothing parameters is also based on the shortened sample period. Then the portfolios are [...]

Optimalization of your credit score (2009-11-24)

So far three methodologies for a quantitatively driven process of portfolio construction have been examined. The results of the empirical study show that the way of accounting for skewness, kurtosis and autocorrelation in return series has significant impact on portfolio weights. Measured by riskadjusted performance numbers as well as stochastic dominance criteria, the identified differences [...]

An increased leverage in the whole credit market (2009-11-21)

The VIX Index reflects the equity and options markets’ expectation of earnings volatility. Companies with deteriorating credit statistics are more likely to experience high equity price volatility than companies with a stable credit trend. As financial profiles of companies improve and the uncertainty about their future earnings declines the hedging costs to invest in those [...]

Poor credit management (2009-10-15)

New personnel, a loss of key personnel, poor succession planning and poor people management can lead to dislocation. However, the main cause of dislocation within this category is behaviour: everything from laziness to fraud and exhaustion to simple human error can be catalysts, resulting in risk being realised. An example is the financial scandal that [...]

Understand the catalysts that cause credit risks to be realised (2009-10-10)

Once risks are identified they can be prioritised according to their potential impact as well as the likelihood of them occurring. This helps highlight not only where things might go wrong and what their impact would be, but how, why and where these catalysts might be triggered. There are many potential risk catalysts. Five of [...]

The credit gap between your future goals (2010-9-5)

You’ve assessed your ability to meet your own needs and have noted a gap between your future goals and present capabilities. You’ve looked at your organization and concluded that partnering with another could help you fill this gap. You’ve judged your capacity to be a good partner by understanding the material and ethereal realms of [...]

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