Bibliography

  1. E. Alòs, R. De Santiago, and J. Vives. Calibration of stochastic volatility models via second-order approximation: the Heston case. International Journal of Theoretical and Applied Finance, 18(6):1550036, 2015.
  2. K. I. Amin and R. A. Jarrow. Pricing Options on Risky Assets in a Stochastic Interest Rate Economy. Mathematical Finance, 2(4):217–237, 1992.
  3. L. Andersen and D. Buffum. Calibration and Implementation of Convertible Bond Models. Journal of Computational Finance, 7(2):1–34, 2003.
  4. L. B. G. Andersen and V. V. Piterbarg. Interest Rate Modeling, Volume 2: Term Structure Models. Atlantic Financial Press, 1st edition, 2010. ISBN 978‐0984422111.
  5. A. M. Antonopoulos. Mastering Bitcoin: Programming the Open Blockchain. O'Reilly Media, 2nd edition, 2017.
  6. A. Antonov and M. Spector. General Short‐Rate Analytics. Risk, April:66–71, 2010.
  7. A. Antonov, M. Konikov, and M. Spector. Modern SABR Analytics: Formulas and Insights for Quants, Former Physicists and Mathematicians. Springer, 2019. ISBN 978‐3030106553.
  8. A. Antonov, M. Konikov, and V. Piterbarg. Neural networks with asymptotics control. Research paper, SSRN, 2020. URL https://ssrn.com/abstract=3544698.
  9. A. Arnal, F. Casas, and F. Chiralt. A general formula for the Magnus expansion in terms of iterated integrals of right‐nested commutators. Journal of Physics Communications, 2(3):035024, 2018. URL http://iopscience.iop.org/article/10.1088/2399-6528/aab291.
  10. O. Bachem, M. Lucic, and A. Krause. Practical Coreset Constructions ...

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