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1answer
207 views

estimate implied volatility using newton-raphson in python

I am trying to calculate the implied volatility using newton-raphson in python, but the value diverges instead of converge. What is wrong with the code? ...
4
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0answers
157 views

Use of Local Times in Option Pricing

I know two applications of local time in option pricing theory. First, it allows a derivation of Dupire's formula on local volatility in a neat way (i.e. without resorting to differential operator ...
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0answers
94 views

What R-packages for SOCP problems are there?

Currently, I am looking deeper into the topic of second-order cone programming. Could you suggest packages that solve SOCP-problems in R? With your answer, please provide a short description of ...
2
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0answers
126 views

Portfolio optimization with absolute position constraints

I'm looking to optimize a portfolio maximizing expected return for a particular risk budget, but with absolute constraints on the individual instrument positions. I've been experimenting with QP, ...
1
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0answers
32 views

Order 1.5 strong SDE integration methods for systems with diagonal additive noise

I'm looking into simple-to-implement and efficient order 1.5 strong SDE integration schemes for my system. My noise is diagonal and additive (possibly time-varying). Thus methods designed for either ...
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0answers
116 views

Do you use software for finite element valuation or do you roll your own?

Engineers put a lot of time and effort in developping high quality finite element (FE) software (deal.II, Dune, Elmer,...). So I was wondering if some of those tools would be suitable for quantitative ...
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0answers
127 views

Practical quantitative finance problems that could be solved in trustless grid computing environment?

Are there any relevant computationally intensive quantitative finance problems that could be outsourced to a trustless grid? By a trustless grid I mean that you cannot trust it with the access to your ...