R Script Dechow F Score
Creating a script to calculate the Dechow F-score in R involves similar steps as in Python, but adapted to R’s syntax and functionalities. The Dechow F-score is a statistical measure used to predict the likelihood of earnings manipulation by companies, as developed by Patricia Dechow and colleagues.
Here’s an R script that calculates the Dechow F-score:
calculate_dechow_f_score <- function(net_income, cash_flow_from_operations, total_assets,
receivables_begin, receivables_end,
revenues_begin, revenues_end,
ppe_begin, ppe_end, depreciation) {
# Ratio of net income to cash flow from operations
ratio_1 <- net_income / cash_flow_from_operations
# Change in receivables relative to change in revenues
delta_receivables <- receivables_end - receivables_begin
delta_revenues <- revenues_end - revenues_begin
ratio_2 <- delta_receivables / delta_revenues
# Ratio of gross property, plant, and equipment to total assets
average_ppe <- (ppe_begin + ppe_end) / 2
ratio_3 <- average_ppe / total_assets
# Accruals
accruals <- (net_income - cash_flow_from_operations) / total_assets
# Dechow F-score calculation
f_score <- 0
f_score <- f_score + ifelse(ratio_1 < 1, 1, 0)
f_score <- f_score + ifelse(ratio_2 < 0, 1, 0)
f_score <- f_score + ifelse(ratio_3 < 1, 1, 0)
f_score <- f_score + ifelse(accruals < 0, 1, 0)
return(f_score)
}
# Example usage
f_score <- calculate_dechow_f_score(net_income = 100000,
cash_flow_from_operations = 120000,
total_assets = 500000,
receivables_begin = 20000,
receivables_end = 30000,
revenues_begin = 100000,
revenues_end = 150000,
ppe_begin = 250000,
ppe_end = 300000,
depreciation = 10000)
print(paste("Dechow F-score:", f_score))
This R script functions similarly to the Python version. You input the necessary financial data, and the script calculates the Dechow F-score based on these inputs. This score ranges from 0 to 4, with higher scores indicating a greater likelihood of earnings manipulation.
To use this script, replace the example input values with actual financial data from the company you are analyzing.
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