Financial Modeling and Forecasting Smart Practices

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Presentation transcript:

Financial Modeling and Forecasting Smart Practices Presented by Christopher J. Swanson Government Finance Research Group www.MuniCast.com

Financial Modeling & Forecasting Smart Practices www.MuniCast.com

Smart Practices Annual Forecasting Model – Key Elements Selecting Forecasting Techniques Alternative Scenarios – Global & Surgical Projecting Impacts on Fund Balances Monthly Forecasting & Variance Model Budget vs Actual Variance Analysis www.MuniCast.com

Annual Forecasting Model – Key Elements Detailed historic financial, economic and statistical data (5-10 year minimum) Forecast horizon, minimum 10 years Forecast assumptions data input template Pro forma financial summary and metrics Charts, Graphs and Tables depicting historic trends, key ratios and future projections Interactive ability to test alternative forecast assumptions, budget options and adjust timeline (starting and ending dates) www.MuniCast.com

Annual Revenue Forecasting www.MuniCast.com

Selecting Forecasting Techniques - Revenues Deterministic/Econometric Examples Change in assessed valuation and rates for property taxes Change in business activity and rates for sales taxes Consumption and use patterns, rates & fees for services Population and CPI change impacting recurring revenues such as fines & forfeitures, licenses & permits, etc. Interest rates applied to projected cash balances Expert Judgment Examples Intergovernmental revenues Differentiating recurring and non-recurring revenue sources www.MuniCast.com

Example – Property Tax Forecast www.MuniCast.com

Example – Sales Tax Forecast www.MuniCast.com

Statutory Revenue Constraints – Gann Example www.MuniCast.com

Trend and Correlation Analysis Analyze trend in recurring revenues – determine annual growth rate by revenue type, and other key metrics such as per capita and % of total revenue measurements. Identify recurring and non-recurring factors impacting revenue growth. Analyze relationships between major variables such as, property and sales tax revenues compared with residential and commercial development, economic cycles, population growth, etc. www.MuniCast.com

Trend Analysis - Ex: Property Tax, % Annual Change www.MuniCast.com

Correlation Analysis – Sales Taxes Nominal, Per Capita and CPI www.MuniCast.com

Correlation Matrix www.MuniCast.com

Annual Expenditure Forecasting www.MuniCast.com

Selecting Forecasting Techniques - Expenditures Deterministic Examples Salaries and Benefits based on FTE positions Compensation factors related to collective bargaining Variable costs tied to personnel Costs as a function of revenues and service levels Liabilities and Fixed Costs Debt service/lease/contractual obligations Capital improvement program commitments Internal loans and interfund transfers www.MuniCast.com

Preparing the Baseline Forecast Collect historic revenue data for trend analysis (minimum 5-10 years – the more data the better for trend and correlation analysis). Identify key indicators and revenue drivers and collect relevant historic data. Determine level of detail to forecast, i.e. individual or grouped accounts. www.MuniCast.com

Imbalances and Gap Analysis Multi-year forecasts reveal possible structural deficits that may not be apparent in short-range financial plans. Projected negative imbalances between revenue and spending can be addressed more proactively with creation of alternative strategies for increasing resources and/or decreasing spending BEFORE a crisis erupts. www.MuniCast.com

Establish Alternative Scenarios Baseline Scenario – aka Most Likely or Expected Scenario Favorable or “Best Case” Scenario Unfavorable or “Worst Case” Scenario Note: “Favorable” and “Unfavorable” labels imply one of a numerous range of possible scenarios rather than only two alternative future possibilities. Other labels could be “High Growth” and “Low Growth” scenarios. www.MuniCast.com

Sensitivity Analysis – Ex. Baseline Scenario – FY2015 www.MuniCast.com

Sensitivity Analysis – Ex. Unfavorable Scenario – Global www.MuniCast.com

Sensitivity Analysis – Ex. Higher Sales Taxes www.MuniCast.com

Sensitivity Analysis – Ex. Higher Sales Taxes & Users Fees www.MuniCast.com

Capital & Debt Scenarios Baseline Scenario: Capital and debt expenditures based on existing commitment, resource and service levels. Alternative Scenarios: Can include a menu of scenarios pertaining to capital projects and possible funding mechanisms such as pay-as-you-go, debt, intergovernmental and/or other fund sources. www.MuniCast.com

Sensitivity Analysis – Ex. Capital Project Requirements www.MuniCast.com

Sensitivity Analysis – Ex. CIP and Debt Funding Option www.MuniCast.com

Fund Balance Forecasting Analyze historic fund balances and reserves and include in forecasting model. Establish fund balance policy, usually based on a minimum % of annual appropriations which varies with the organization’s size and life cycle (eg. common % threshold among municipalities is 10-20%). Model should include projected sources and uses of funds and a resulting range of fund balances, based on the selected revenue and spending scenario. www.MuniCast.com

Sensitivity Analysis – Ex. Unreserved Fund Balance 2012 www.MuniCast.com

Sensitivity Analysis – Ex. Unreserved Fund Balance 2017 www.MuniCast.com

Monthly Forecasting & Variance Analysis Model Detailed historic monthly financial data (24-36 months minimum) Mechanism for monthly allocation of annual budget Ability to readily download monthly actual revenues & expenditures Monthly forecasting and revision of year-end estimate Charts, Graphs and Tables depicting budget vs. actual and variances on a monthly, year-to-date, YTD vs. prior year basis, and annual budget vs. year-end estimate www.MuniCast.com

Monthly Variance Charts www.MuniCast.com

Variance and YTD Tables www.MuniCast.com

Break for Excel Demonstration and Conclusion www.MuniCast.com