Financial Forecasting Flashcards
The main inputs of forecasting include:
time series, cross-sectional and longitudinal data, or using judgmental methods.
Forecasting is
the process of making statements about events whose actual outcomes (typically) have not yet been observed.
Time series is
a sequence of data points, measured typically at successive time instants spaced at uniform time intervals. Cross-sectional data refers to data collected by observing many subjects at the same point of time, or without regard to differences in time.
A longitudinal data involves
repeated observations of the same variables over long periods of time—often many decades.
Judgmental forecasting methods incorporate
intuitive judgements, opinions and subjective probability estimates.
Probability sample:
a technique of studying a population subset in which the likelihood of getting any particular subset may be calculated.
Dow Jones index:
an index that shows how 30 large publicly-owned companies based in the United States have traded during a standard trading session in the stock market.
Nonprobability sample:
a subset of the population in which the probability of getting any particular sample may be calculated, and therefore cannot be used to represent the whole population.
In corporate finance, investment banking, and the accounting profession, financial modeling is largely synonymous with
cash flow forecasting.
Time series is
a sequence of data points, measured typically at successive time instants and spaced at uniform time intervals.
Cross-sectional data refers to
data collected by observing many subjects (such as individuals, firms or countries/regions) at the same point in time, or without regard to differences in time. Analysis of cross-sectional data usually consists of comparing the differences among the subjects.
Judgmental forecasting methods incorporate
intuitive judgements, opinions and subjective probability estimates, such as Composite forecasts, Delphi method, Forecast by analogy, Scenario building, Statistical surveys, and Technology forecasting.
Spontaneous assets are
the assets of a company that are accumulated automatically as a result of the firm’s day-to-day business. Spontaneous liabilities are the obligations of a company that are accumulated automatically as a result of the firm’s day-to-day business.
The internal growth rate is
a formula for calculating the maximum growth rate a firm can achieve without resorting to external financing.
Sustainable growth is defined as
the annual percentage of increase in sales that is consistent with a defined financial policy.