Continuous compound returns
P_t = P_0*exp(r)
Compounded returns for T_0 = 100 and T_1 = 120
HPR = 120/100 - 1 =20%
R_cc = log(120/100) = 18.23%
R_simple = exp(.1823) -1 = 20%
Monte Carlo simulation
Technique based on the repeated generation of one or more risk factors to generate a distribution of security values
Uses of Monte Carlo Simulation
1) Value complex securities
2) Simulate the profits/losses from a trading strategy
3) Calculate estimates of value at risk (VaR)
4) Simulate pension fund assets and liabilities over time.
5) Value portfolios of assets that have non-normal return distributions.
Advantages and disadvantages of Monte Carlo
Advantage: Inputs are not limited to historical data
Disadvantage: Complexity, data quality
Resampling
Method for generating data inputs to use in a simulation.
Bootstrap resampling
Using resampling to provide inputs into a bootstrap model.