library(stats)
library(forecast)
# Create simulated data
n = 100
set.seed(42)
arma_values = arima.sim(n = n, model = list(ar = c(0.5), ma = c(0.5, -0.5)))
linear_model = 5 + 1:n
stock_data = arma_values + linear_model
buy_value = 105
future_time = 1
europeanCallOptionValue(stock_data = stock_data, future_time, buy_value, max.p = 5, max.q = 5)
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