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Machine learningMonte Carlo Methods

Njia ya Longstaff-Schwartz

Njia ya Longstaff-Schwartz (2001) ni algorithmu ya Monte Carlo kwa ajili ya kuweka bei chaguo za Marekani na swaptions za Bermudan kwa kukadiria mpaka wa mazoezi bora kupitia regression ya viwango vidogo. Imekuwa kiwango cha tasnia kwa ajili ya kuweka bei derivatives zinazotegemea njia ambapo suluhisho za uchambuzi hazipo.

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Vyanzo

  1. Longstaff, F. A., & Schwartz, E. S. (2001). Valuing American options by simulation: A simple least-squares approach. Review of Financial Studies, 14(1), 113-147. DOI: 10.1093/rfs/14.1.113
  2. Clements, D. J., & Minca, A. (2008). A simulation approach to estimating near-optimal valuation functions for Bermudan options. Journal of Computational Finance, 12(2), 73-96. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Longstaff-Schwartz Least-Squares Monte Carlo. ScholarGate. https://scholargate.app/sw/quantitative-finance/longstaff-schwartz-method

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ScholarGateLongstaff-Schwartz Method (Longstaff-Schwartz Least-Squares Monte Carlo). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/quantitative-finance/longstaff-schwartz-method · Seti ya data: https://doi.org/10.5281/zenodo.20539026