Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
144 tokens/sec
GPT-4o
8 tokens/sec
Gemini 2.5 Pro Pro
46 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Local sensitivity analysis of heating degree day and cooling degree day temperature derivatives prices (2403.00006v1)

Published 24 Jan 2024 in q-fin.PR and math.PR

Abstract: We study the local sensitivity of heating degree day (HDD) and cooling degree day (CDD) temperature futures and option prices with respect to perturbations in the deseasonalized temperature or in one of its derivatives up to a certain order determined by the continuous-time autoregressive process modelling the deseasonalized temperature in the HDD and CDD indexes. We also consider an empirical case where a CAR process of autoregressive order 3 is fitted to New York temperatures and we perform a study of the local sensitivity of these financial contracts and a posterior analysis of the results.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (6)
  1. Forward prices in markets driven by continuous-time autoregressive processes. In Recent Advances in Financial Engineering: Proceedings of the International Workshop on Finance 2012, pages 1–24, Singapore, 30–31 October 2012 2014. World Scientific.
  2. Approximation of the price dynamics of heating degree day and cooling degree day temperature futures. The Journal of Energy Markets., 8:69–92, 2015.
  3. Modeling and Pricing in Financial Markets for Weather Derivatives, volume 17 of Advanced series on statistical science & applied probability. World Scientific, Singapore, 2012.
  4. M. Broadie and P Glasserman. Estimating security price derivatives using simulation. Management Science., 42:269–285, 1996.
  5. G.B Folland. Real Analysis: Modern Techniques and Their Applications. Advanced series on statistical science & applied probability. Wiley, Chicheter, 1984.
  6. W. Härdle and B López Cabrera. The implied market price of weather risk. Appl. Math. Finance., 19:59–95, 2012.

Summary

We haven't generated a summary for this paper yet.

X Twitter Logo Streamline Icon: https://streamlinehq.com