ifrs17sim IFRS waterfall chart

The script draws multiple waterfall charts, each of which depict sources of changes in balances related to IFRS17. The script is broken down into pieces of code, and explained in a Jupyter notebook, IFRS17 Simulation (Baseline).

The live version of the notebook is available online.

Launch this notebook online!

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from draw_charts import draw_waterfall, get_waterfalldata
import modelx as mx

model = mx.read_model("model")
proj = model.OuterProj[1]

# CSM Amortization

csmrf = get_waterfalldata(
            proj,
            items=['CSM',
                   'IntAccrCSM',
                   'AdjCSM_FlufCF',
                   'TransServices'],
            length=3,
            reverseitems=['TransServices'])

draw_waterfall(csmrf, title='CSM Amortization')

# Expected Cashflow Rollforwad

estcf = get_waterfalldata(
            proj,
            items=['PV_FutureCF',
                   'EstPremIncome',
                   'EstIntOnCF',
                   'EstAcqCashflow',
                   'EstClaim',
                   'EstExps'],
            length=3,
            reverseitems=['EstPremIncome'])

draw_waterfall(estcf, title='Expected Cashflows')

# Actual Cashflow Rollforward

actcf = get_waterfalldata(
            proj,
            items=['PremIncome',
                   'IntAccumCF',
                   'ExpsAcqTotal',
                   'BenefitTotal',
                   'ExpsMaintTotal',
                   'ActualNetCF'],
            length=3,
            reverseitems=['ExpsAcqTotal',
                          'BenefitTotal',
                          'ExpsMaintTotal'])

draw_waterfall(actcf, stocks=[0, 5], title='Actual Cashflows')

# IFRS17 Financial Performance

ifrspl = get_waterfalldata(
            proj,
            items=['InsurRevenue',
                   'InsurServiceExps',
                   'InsurFinIncomeExps',
                   'ProfitBefTax'],
            length=5,
            reverseitems=['InsurServiceExps'])

draw_waterfall(ifrspl, stocks=[0, 3], title='IFRS17 Profit/Loss')