Research Article

Canonical Least-Squares Monte Carlo Valuation of American Options: Convergence and Empirical Pricing Analysis

Table 3

Price estimates for both American puts with various levels of number of paths , number of regressors and type of regressors.

Type of regressor 5,00010,00020,00030,000
BTLSBiasS.E.LSBiasS.E.LSBiasS.E.LSBiasS.E.

Monomials27.2896.994 0.3087.020 0.2187.015 0.2927.023 0.215
59.03858.088 0.41358.136 0.41459.683 0.38159.690 0.392
37.2897.101 0.1927.105 0.0987.104 0.0547.208 0.126
59.03858.417 0.34559.280 0.33258.497 0.31758.497 0.312
47.2897.113 0.1557.122 0.0837.130 0.0767.164 0.068
59.03859.494 0.35358.459 0.34158.517 0.29858.531 0.273
57.2897.129 0.1057.192 0.0557.187 0.0687.191 0.071
59.03859.504 0.34758.584 0.26558.785 0.14558.761 0.165

Weighted Laguerre27.2897.004 0.2087.020 0.1987.023 0.1957.033 0.169
59.03858.208 0.39258.430 0.31459.589 0.33159.597 0.381
37.2897.108 0.0917.146 0.0767.164 0.0487.178 0.034
59.03858.419 0.35358.443 0.32758.486 0.31358.470 0.314
47.2897.167 0.1457.171 0.0417.169 0.0537.174 0.078
59.03858.540 0.35258.539 0.32359.450 0.28559.447 0.301
57.2897.180 0.0097.201 0.01547.184 0.0287.193 0.019
59.03859.524 0.35858.570 0.25458.773 0.15758.802 0.146

Shifted Legendre27.2897.087 0.1257.131 0.0717.168 0.0347.180 0.032
59.03858.216 0.30058.275 0.26058.422 0.20658.318 0.302
37.2897.160 0.0527.182 0.0457.227 0.0157.219 0.007
59.03859.395 0.27958.758 0.13258.810 0.19958.803 0.287
47.2897.162 0.1507.184 0.12857.190 0.0517.223 0.031
59.03858.69 0.27058.764 0.16658.822 0.16258.824 0.118
57.2897.182 0.1107.222 0.0307.207 0.0307.232 0.010
59.03858.722 0.20658.781 0.16558.829 0.10358.848 0.114

Note. BT and LS represent the price from binomial tree model and the price from the least-squares algorithm used in CLM method, respectively. Bias is the difference between LS and BT and S.E. is the standard error. In each cell, the number above resulted from the first put option and the bottom is from the second put. The parameters for both puts are given in Table 1.