fundManageR (version 0.5.02030319)

calculate_irr_periods: Interal rate of return

Description

This function returns a data frame that produces the internal rate of return for specified dates and cash flows

Usage

calculate_irr_periods(dates = c("2016-06-01", "2017-05-31", "2018-05-31",
  "2019-05-31", "2020-05-31", "2021-05-31", "2022-05-31", "2023-05-31",
  "2024-05-31", "2025-05-31", "2026-05-31"), cash_flows = c(-3000,
  478.515738547242, 478.515738547242, 478.515738547242, 478.515738547242,
  478.515738547242, 478.515738547242, 478.515738547242, 478.515738547242,
  478.515738547242, 478.515738547278), date_format = "%Y-%m-%d",
  scale_to_100 = FALSE, return_percentage = FALSE, return_df = TRUE,
  return_wide = TRUE, return_message = TRUE)

Arguments

dates

vector of dates, year-month-date format

cash_flows

vector of cash flows

date_format

date format

scale_to_100

TRUE scale to 100

return_percentage

TRUE return percentages

return_df

TRUE returns a data frame

return_message

TRUE return a message after data import

Value

data_frame

See Also

Other calculation: calculate_cash_flow_dates, calculate_cash_flow_waterfall_partnership, calculate_cash_flow_waterfall, calculate_cash_flows_returns, calculate_days_accrued_pref, calculate_leverage_metrics, calculate_loan_payment, calculate_residual_valuation_cap_rates, calculate_residual_valuation_ebitda_multiples, calculate_share_proceeds, calculate_valuation_post_money, tidy_promote_structure

Other leveraged finance calculation: calculate_cash_flow_dates, calculate_cash_flow_waterfall_partnership, calculate_cash_flow_waterfall, calculate_cash_flows_returns, calculate_leverage_metrics, calculate_loan_payment

Other partnership calculation: calculate_cash_flow_dates, calculate_cash_flow_waterfall_partnership, calculate_cash_flow_waterfall, calculate_cash_flows_returns, calculate_days_accrued_pref, tidy_promote_structure

Examples

# NOT RUN {
calculate_irr_periods(dates = c("2016-06-01","2017-05-31", "2018-05-31", "2019-05-31", "2020-05-31", "2021-05-31",
"2022-05-31", "2023-05-31", "2024-05-31", "2025-05-31", "2026-05-31"), cash_flows = c( -3000, 478.515738547242, 478.515738547242, 478.515738547242, 478.515738547242,
478.515738547242, 478.515738547242, 478.515738547242, 478.515738547242, 478.515738547242, 478.515738547278 ), date_format = '%Y-%m-%d', scale_to_100 = FALSE,
return_percentage = FALSE, return_df = TRUE, return_wide = TRUE, return_message = TRUE)
# }