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PROCEEDINGS May 15, 16, 17, 18, 2005 - Casualty Actuarial Society

PROCEEDINGS May 15, 16, 17, 18, 2005 - Casualty Actuarial Society

PROCEEDINGS May 15, 16, 17, 18, 2005 - Casualty Actuarial Society

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252 WHEN CAN ACCIDENT YEARS BE REGARDED AS DEVELOPMENT YEARS?good estimate of the values in that development period. Nearbyperiods carry a great deal of information about each developmentperiod’s level. If we consider only the first plot, and we omit adevelopment period, what do we know about it? The informationwas there, but we threw it away when we threw away the orderingin the development year. There is also information in the accidentyear direction–nearby accident years often tend to be more alikethan ones further away. The chain ladder ignores that informationin both directions. This loss of information causes the predictivedistributions of chain ladder forecasts to be very wide, muchwider than they should be if the model used what we knowabout losses.The top plot of Figure 5 actually looks a bit more like a plotagainst accident years (though nearby accident years in practiceare often closer together than those further away, and so they tendto be smoother than the top plot, even though they don’t normallyexhibit the smooth curves of the development direction).That is not to say that a plot against development years lookingsomething like the top one could never arise, but it is quiterare–and if it does arise, an ANOVA-style model is not veryhelpful in forming good forecasts, particularly in the tail and forfuture developments. It has parameters where it has little data,and that makes for poor forecast prediction errors. An underparameterizedmodel is often substantially better for forecastingin that circumstance. If we were in the rare circumstance thatthe means for each development didn’t have any strong trend tothem, we’d want to quantify the extent to which the means tendto shift around their overall average, and use as much informationas possible in identifying what little trend there might be.When there is less information in the data, it is even more crucialnot to waste it.Many of the problems discussed with respect to the chainladder apply to other link ratio methods. The exact transposeinvarianceproperty no longer applies (since different weightsare involved), but basic link ratio methods are still two-way

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