273: M6 - Forecasting Flashcards

1
Q

What is the primary focus of forecasting company revenues?

A

Primary focus is to forecast in company revenues

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2
Q

Two categories of forecasting approaches

A

1) Quantitative
2) Qualitative

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3
Q

Quantitative Forecasts

A

Quantitative forecasts are based on statistical models using historical data to generate numeric predictions. The obvious benefit to this approach is it is tangible and easy to visualize. The downside is that the past is rarely an accurate predictor of the future. If it were, the process wouldn’t be called forecasting, it would be called extrapolation.

Quantitative models are useful when there is a long timeseries of data available and the company being valued and its industry are reasonably stable.

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4
Q

Qualitative Forecasts

A

Qualitative forecasts are predictions are based on the opinions and views of experts or a panel of experts. Essentially these predictions are a judgement call by an informed person or persons. These types of forecasts are particularly useful with start-ups or new product segments of an existing company where little representative, historical data is available.

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5
Q

Top-Down Forecasting

A

In top-down forecasting, we start at a very high, macroeconomic level and work down to a given company’s forecast of revenue. The advantage of this approach is the easy access to macroeconomic data which are the inputs into the forecast. The only company-level data considered is typically market share. The downside is the approach doesn’t consider the process by which market share is captured.

Top-down forecasting is useful for large established firms in reasonably mature industries

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6
Q

What is TAM

A

TAM is referred to as the “Total Addressable Market) (TAM) for a given product segment. The TAM is impacted global macroeconomic GDP forecasts or other macro factors. Once a forecast for a product’s TAM has been derived:

Total Addressable Market (TAM) -> Market Share -> Revenue

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7
Q

Bottom-up Forecasting

A

Product/Service -> Sale Volume and Prices -> Revenue

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8
Q

Hybrid Forecasting

A

If one were to survey equity analysts in an attempt to determine which form of forecasting is more popular they would invariably find that many analysts would describe their forecasting process as top down/bottom up. Essentially, the analyst is combining both methodologies to derive a forecast. It is a rare product that is not impacted by the underlying economy in which the product is being marketed and sold.

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9
Q

Statistical methods which we can use to forecast revenue given historical data:

A

1) Naive Approach
2) Moving Average Approach
3 Exponential Smoothing Approach
4) Trend Analysis Approach
5) Regression Analysis Approach

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10
Q

Naive Approach

A

In the naïve approach, we assume that revenue growth in the future will be the same as the most recent period. The advantage here is the simplicity of the approach, however, unless the most recent past is most representative of the future, this approach is not accurate.

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11
Q

Moving Average Approach

A

In the moving average approach, we assume that revenue growth will be the average over a number of recent years, typically 3-5 years. This approach is slightly more complicated and has the advantage of smoothing growth over a number of years.

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12
Q

Exponential Smoothing Approach

A

The exponential smoothing approach is very similar to the moving average approach, however, when the average is calculated, the different years in the average are weighted differently

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13
Q

Trend Analysis Approach

A

trend analysis relies on the assumption that the data will follow a predictable trend in the data

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14
Q

Spurious Relationships

A

A potential concern that we must consider with using the regression approach is the potential for spurious relationships or correlations between variables. When we run a regression, we are hypothesizing that the independent variables influence the dependent variable

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15
Q

Qualitative Analysis

A

Qualitative factors have the advantage of being entirely forward looking and can be adjusted specifically to the context of the firm and the industry. The downside is that qualitative factors are driven by the opinion of experts with incomplete information and inherent biases that are not observable.

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16
Q

Executive Opinion

A

Nobody understands the firm and its prospects better than the management of the firm. Thus, there is valuable information in the commentary of the executives of the company you are seeking to value. The obvious challenge with this information is that management is inherently biased to be optimistic in their forecasts and is prone to understate of even overlook key challenges. The sample is also very small.

17
Q

Delphi Method

A

The Delphi Method is a process of gathering opinions from a group while mitigating the potential for one group member to dominate and potentially have his or her opinion overly influence the outcome.

The process uses a sequence of rounds where experts are given questionnaires and the anonymous responses are shared after each round.

The advantage of this process is you obtain an unbiases consensus or near consensus from a panel of experts without one strong opinion dominating the outcome. However, the process it is time consuming and potentially costly, identifying and paying experts to participate.

18
Q

Surveys

A

Information can be collected via direct surveys of consumers either conducted by the analyst’s firm or by external surveyors. Surveys can also be conducted of retailers.

19
Q

Forecast Items: Sales Revenue

A

Projecting income statement line items naturally begins with the top of the income statement at the revenue line.

first, you can model sales revenue as a simple growth rate from previous years. This means that any subsequent year is the past year’s sales revenue multiplied by one plus the growth rate.

It is also common to model revenue as a factor of GDP or some other macroeconomic metric. This means that revenue for each year will depend on a regression formula based on historic revenue and the input of that year’s GDP (or other metric).

20
Q

Cost of Goods Sold (or Gross Profit)

A

Cost of Goods sold is normally forecast as a percentage of revenue. Use historical figures of COGS (or GP) over sales revenue and use these percentages to predict future percentages.

21
Q

Selling, General, and Administrative Expenses

A

Generally speaking, SG&A expense can be forecast with reasonable accuracy by calculating it as a percentage of revenue on a historical basis.

22
Q

Depreciation Expense

A

The proper way to determine depreciation expense is to develop a depreciation schedule. The schedule will incorporate new capital expenditures and apply depreciation to the balance remaining. On simplified DCF’s, analysts will often estimate depreciation as a percentage of revenue.

23
Q

Tax Expense

A

To properly account for future tax expenses, one should default to the statutory rate for the jurisdiction in which the company is domiciled. There can be a considerable difference between the historical rate and the statutory rate but ultimately the company will be subject to the statutory rate.