Least squares Monte Carlo (LSM) is an approximate dynamic programming (ADP) technique commonly used for the valuation of high dimensional financial and real options, but has broader applicability. It is known that the regress-later version of this method is an approximate linear programming...

Risk neutral valuation determines no arbitrage values for financial or real assets, including ones that are exposed to energy price risk. It is always uniquely associated with a hedging strategy if and only if markets are complete, which is the exception in theory and never the case in practice....

Least squares Monte Carlo (LSM) is a state-of-the-art approximate dynamic programming approach used in financial engineering and real options to value and manage options with early or multiple exercise opportunities. It is also applicable to capacity investment and inventory/production...