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A Reference for Stochastic Volatility Model Calibration

Article Quant Q&A · Author: AleB

Summary

The document asks for references surveying methods used to calibrate stochastic volatility models, including the Heston model. It notes that many calibration approaches exist and seeks a broad overview of research and practical projects. The response recommends Lorenzo Bergomi’s book, Stochastic Volatility Modeling, as a place to consult.

This is a reading suggestion rather than a calibration tutorial. It does not compare estimation methods, describe an objective function or implementation steps, or provide evidence about the relative performance of approaches. Readers seeking a survey or a specific calibration workflow would need to consult the cited reference and assess whether it addresses their model, data, and use case.

Key ideas

  • Stochastic volatility models such as Heston can be calibrated using multiple approaches.
  • The response recommends Lorenzo Bergomi’s Stochastic Volatility Modeling as a reference.
  • The exchange does not describe or compare any calibration procedures.

Tags

Full text
# Calibration of stochastic volatility models


# Calibration of stochastic volatility models












Which are good references to know about different calibration methods for stochastic volatility models such as Heston? I know that there are a lot of way of carrying this task out and I was just wondering if there is something like a survey of some work and project done about.

## Answer by mygut (score 1)

https://quant.stackexchange.com/a/36742

You may have a look at Stochastic Volatility Modeling by Lorenzo Bergomi.

Shown in full with attribution under the source's licence. Licence: CC BY-SA 4.0 (Stack Exchange)

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.