Questions tagged [longstaff-schwartz]
The longstaff-schwartz tag has no usage guidance.
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LSMC for Out of The Money paths
In the Longstaff & Schawartz article they condition on using In-The-Money (ITM) paths only for the regression. The reason for this is to obtain more accurate results and also reduce the ...
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Continuation value in Longstaff-Schwartz: Why the expected value?
In the paper by Longstaff and Schwartz on American option pricing, the continuation value at time $t_k$ is given by:
\begin{align}
F(\omega;t_k) = \mathbb{E}_Q\Big[\sum_{j=k+1}^Kexp\Big(-\int_{t_k}^{...
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Longstaff-Schwarz LS Monte Carlo - which approach is correct? [closed]
I'm trying to understand Least-Square Monte Carlo approach for pricing american options. I'm familiar with Tsitsiklis and van Roy (2001) approach where we are going backwards with:
$V_T = h(S_T)$, ...
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Suboptimality bias in least squares Monte Carlo for American options
In Monte Carlo pricing of American options we form two estimators:
A high estimator that is biased upward because of "look-ahead" bias (i.e., at any given time we uses future information to ...
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Least Square Monte Carlo Longstaff-Schwartz method implementation problem
While trying to implement the Least Square Monte Carlo (LSMC) method by Longstaff-Schwartz I came across an error I am not quite sure how to fix.
The method uses a regression method (be it Multiple ...
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Longstaff and Schwartz example in their paper
I was looking at the well known Longstaff and Schwartz paper "Valuing American Options by Simulation: A Simple Least-Squares Approach". There are a couple of examples where they applied the ...
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Longstaff-Schwartz for any optimal stopping
Let's say I have the stock of General Motors and I assume some fancy model for the price of this stock and I have to sell it within a month. Can I use Longstaff-Schwartz algorithm to determine the ...
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Longstaff Schwartz method (LSM): how to increase accuracy?
In the LSM method, I am currently (as they do in the paper) using weighted Laguerre polynomials as basis functions, about 3-5 of them.
If I wish to increase the accuracy of my model, what should I do?...
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L2 Assumptions of the Longstaff Schwartz method
In page 121 of the original LS Paper they use the fact that the space of functions they are dealing with (payoffs of American options), belong to the $\mathcal L^2$ space.
They use this assumption ...
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Longstaff Schwartz with future conditional coupons
I've implemented the L-S algorithm for a simple put option. I want to value a more complex derivative which has future conditional coupons which only occur if the option is in the money. How would I ...
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Longstaff Schwartz algorithm
I am new in finance, I have implemented the Longstaff Schwartz algorithm for pricing american otion - one asset (dimension = 1).
My questions :
Does this algorithm still efficient for a high ...
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Longstaff-Schwartz, special american option simulation using Python (numpy package)
I got a put option, which can be exercised 3 times, all at different times, which are each month of a year $$t_1 = \frac{1}{12}, t_2 = \frac{2}{12} ... t_{12} = 1$$.
Respectively, if exercised at $$...
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Foresight bias in least square monte carlo
Foresight bias means we tend to over estimate the American option value. This we observe in other areas of statistics - e.g. in sample test almost always gives better prediction than out of sample ...
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