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Amber Zhang

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • q-fin.RM2
  • q-fin.CP1

identity via Semantic Scholar / OpenAlex

most citedCalibrating the Nelson-Siegel-Svensson Model by Genetic Algorithm

2 citations · 3 across the 2 of their papers we have counts for

collaborators

3 papers

q-fin.RM2021★ 1 cited

Efficient ISDA Initial Margin Calculations Using Least Squares Monte-Carlo

Asif Lakhany, Amber Zhang

Non-cleared bilateral OTC derivatives between two financial firms or systemically important non-financial entities are subject to regulations that require the posting of initial an…

q-fin.RM2021★ 2 cited

Calibrating the Nelson-Siegel-Svensson Model by Genetic Algorithm

Asif Lakhany, Andrej Pintar, Amber Zhang

Accurately fitting the term structure of interest rates is critical to central banks and other market participants. The Nelson-Siegel and Nelson-Siegel-Svensson models are probably…

q-fin.CP2021

Efficient Least Squares Monte-Carlo Technique for PFE/EE Calculations

Yuriy Krepkiy, Asif Lakhany, Amber Zhang

We describe a regression-based method, generally referred to as the Least Squares Monte Carlo (LSMC) method, to speed up exposure calculations of a portfolio. We assume that the po…

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