scholarly journals Erratum to ”︁Pricing American options by canonical least-squares Monte Carlo„ by Q. Liu

2010 ◽  
Vol 30 (11) ◽  
pp. 1105-1105
2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Xisheng Yu ◽  
Qiang Liu

The paper by Liu (2010) introduces a method termed the canonical least-squares Monte Carlo (CLM) which combines a martingale-constrained entropy model and a least-squares Monte Carlo algorithm to price American options. In this paper, we first provide the convergence results of CLM and numerically examine the convergence properties. Then, the comparative analysis is empirically conducted using a large sample of the S&P 100 Index (OEX) puts and IBM puts. The results on the convergence show that choosing the shifted Legendre polynomials with four regressors is more appropriate considering the pricing accuracy and the computational cost. With this choice, CLM method is empirically demonstrated to be superior to the benchmark methods of binominal tree and finite difference with historical volatilities.


2016 ◽  
Vol 2 (2) ◽  
pp. 71
Author(s):  
Shuai Gao ◽  
Jun Zhao

50ETF appears on the Chinese stock market on 9th February,2015, the contracts are European Options and the options are priced by B-S model.50ETF is the only one option that can be traded, there are no American Options in Chinese stock market. This paper studies 50ETF pricing analysis in accordance with the way of American Option. We use Least Squares Monte Carlo Simulation to price 50ETF and analyze them, give the numerical results by matlab program. This issue is worth studying, because the paper studies 50ETF, and price it in the way of American Options, we try to employ Monte Carlo Simulation to solve this problem in china and the results of the paper can enrich the option products in the stock market of China.


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