Accruals Ratio and Accruals Calc
(Operating Assets and Liabilities)
Bracketing Rates
Periodic Pension Cost (IFRS and GAAP)
IFRS:
+ Service Cost
+/- NET interest expense (BGN Funded Status * Discount Rate, or BGN Plan Assets - BGN PBO)
+/- Past Service Costs
= Periodic Pension Expense (INCOME STATEMENT)
GAAP:
+Service Cost
+ Interest Cost
+/- Amort of Actuarial G/L
+/- Amort of Prior Service Costs
= PPC –> (INCOME STATEMENT)
(bottom three are smoothed events)
PBO
BGN PBO
+ Service Cost
+ Interest Cost
+/- Actuarial G/L
+/- PSC
- Benefits Paid
END PBO
TPPC (plus difference between GAAP and IFRS)
Contributions - CHANGE in funded status
Interest + service cost + plan amendments + actuarial G/L - Actual Return on Plan Assets
Net Premium Written vs. Earned
Expense Ratio
Underwriting Expenses (including commissions)
_______________________________________
Net Premium WRITTEN
UW Loss Ratio
Incurred Losses + Loss Adjustment Expenses
___________________________________________
Net Premium EARNED
Combined Ratio
Total Incurred Losses + Expenses
___________________________________-
Net Premium EARNED
LIFO Liquidation
Cash Conversion Cycle
Cash Ratio
Cash + Marketable Securities
_____________________________________
Current Liabilities
Hyperinflation
If cumulative 3-yr inflation is >100%
Inflation =
1+ Nominal Rate
_________________
1+ real rate
Treatment of Bonds under Amortized Cost
Lidquidity Coverage Ratio and # days of Stress Cash
Adjusted Operating Profit
Reporting Operating Profit
+Reported Pension Expense
-Service Cost
_______________
Adjusted Operating Profit
FVPA Build
BGN FVPA
+/- ACTUAL return on plan assets
+ Contributions
__________________
END FVPA
WCInv
Change In (Current Assets - Cash & Investments) - Current L’s - ST Debt & Dividends payable)
Or BGN WC - END WC
FCInv
Ending Net PPE
-BGN Net PPE
+Depreciation
Unlever and Relever Beta
Unlever:
[1 / (1+DE)] * b
Re-lever
1+D/E * b
QM Terms (SEE, SST, etc.)
Terms: know what they measure and how you use them to construct ANOVA table
Heteroskedasticity and Correcting It
Heteroskedacity: when error term variance is non-constant
Detecting: Scatter (see right) or Breusch-Pagan Test
Correcting:
Serial Correlation
Serial Correlation: Positive autocorrelationàeach error term tends I nthe same direction as previous term
Detecting
Correcting:
Or use generalized least squares (modifying original equation to eliminate heteroskedasticity)
More detail in slide deck