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...

Monte Carlo simulation and geometric Brownian motion are the two methods employed for valuation of guarantees in public-private partnership projects. In this article we argue that any guarantee within the projects that exhibit non-constant growth rate of demand should always be evaluated by...

Jil C. Onimus makes a contribution to the nascent research line on the economic value of venture capital contracts which lies at the intersection of venture capital contract design and real option pricing. She identifies the baskets of real options embedded in model venture capital contracts as...

We develop the idea of using Monte Carlo sampling of random portfolios to solve portfolio investment problems. We explore the need for more general optimization tools, and consider the means by which constrained random portfolios may be generated. DeVroye's approach to sampling the interior of a...