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We show how Adjoint Algorithmic Differentiation (AAD) can be used to calculate price sensitivities in regression-based Monte Carlo methods reliably and orders of magnitude faster than with standard finite-difference approaches. We present the AAD version of the celebrated least-square algorithms...
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indistinctly used when pricing the derivative. Conclusion: In this article The Least-Squares Monte Carlo Method performance is … American Asian option. Theoretically all basis can be indistinctly used when pricing the derivative. However, our results does …
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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...
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