Category : triangle

DP 1 DP 2 DP 3 DP 4 DP 5 DP 6 DP 7 DP 8 DP 9 DP 10 3,57,848 11,24,788 17,35,330 22,18,270 27,45,596 33,19,994 34,66,336 36,06,286 38,33,515 39,01,463 3,52,118 12,36,139 21,70,033 33,53,322 37,99,067 41,20,063 46,47,867 49,14,039 53,39,085 2,90,507 12,92,306 22,18,525 32,35,179 39,85,995 41,32,918 46,28,910 49,09,315 3,10,608 14,18,858 21,95,047 37,57,447 40,29,929 43,81,982 45,88,268 4,43,160 ..

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Trying to extract properties from the triangle / development class(e.g..age_to_age) give it was parameterized with multiple triangles each with different valuation dates. This example illustrates the issue: import chainladder as cl import pandas as pd data = [[‘2010-01-01’, ‘2011-06-30’, ‘premium’, 100.0], [‘2010-01-01’, ‘2011-12-31’, ‘incurred’, 100.0], [‘2010-01-01’, ‘2012-06-30’, ‘premium’, 200.0], [‘2010-01-01’, ‘2012-12-31’, ‘incurred’, 100.0], [‘2010-01-01’, ‘2013-12-31’, ..

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