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From Climate to Contracts: Advancing Temperature Options Pricing
Whether it's building dams to control rivers, crafting garments to withstand cold, or the simple act of carrying an umbrella, these actions reflect humanity's precautionary behavior to adapt to nature. Weather derivatives are an extension of this adaptive behavior of the humankind seeking to hedge a...
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AUC Knowledge Fountain
2025
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| _version_ | 1867613424679124992 |
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| access_status_str | Open Access |
| author | Hussein, Karim |
| author_browse | Hussein, Karim |
| author_facet | Hussein, Karim |
| author_sort | Hussein, Karim |
| collection | Thesis |
| description | Whether it's building dams to control rivers, crafting garments to withstand cold, or the simple act of carrying an umbrella, these actions reflect humanity's precautionary behavior to adapt to nature. Weather derivatives are an extension of this adaptive behavior of the humankind seeking to hedge against weather related risks. A recent example that motivated this work is the loss of revenue incurred by Egypt during the six- day closure of the Suez Canal caused by the wedging of large vessel due to bad weather conditions. In this thesis, we model and price a temperature-based weather contract, using a dataset of historical weather metrics from Cairo, Egypt. We employ a stochastic approach based on the Ornstein-Uhlenbeck process, incorporating seasonal trends, mean reversion, and assuming monthly volatilities to model temperature dynamics. Our work extends the foundational methodology found in (Alaton et al., 2002), using Monte Carlo simulation and enhanced with a variance reduction technique using the control variate approach, leveraging a correlated Asian option under a Geometric Brownian Motion framework which significantly improves computational efficiency. Findings show that these methods could be effective when pricing temperature-based instruments and hence offering practical implications for industries like agriculture, energy, transportation, tourism, data center, etc. This research also aims to contribute to the broad understanding of the topic of Weather Derivatives as we explore use cases that fit different local economies, and we touch upon the challenges faced when pricing such instruments in the incomplete markets’ framework. |
| format | Thesis |
| id | oai:fount.aucegypt.edu:etds-3541 |
| institution | American University in Cairo (Egypt) |
| last_indexed | 2026-06-10T12:35:55.364Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from AUC Knowledge Fountain — bepress |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | AUC Knowledge Fountain |
| publisherStr | AUC Knowledge Fountain |
| record_format | dspace |
| source_str | AUC Knowledge Fountain — bepress |
| spelling | oai:fount.aucegypt.edu:etds-3541 From Climate to Contracts: Advancing Temperature Options Pricing Hussein, Karim Whether it's building dams to control rivers, crafting garments to withstand cold, or the simple act of carrying an umbrella, these actions reflect humanity's precautionary behavior to adapt to nature. Weather derivatives are an extension of this adaptive behavior of the humankind seeking to hedge against weather related risks. A recent example that motivated this work is the loss of revenue incurred by Egypt during the six- day closure of the Suez Canal caused by the wedging of large vessel due to bad weather conditions. In this thesis, we model and price a temperature-based weather contract, using a dataset of historical weather metrics from Cairo, Egypt. We employ a stochastic approach based on the Ornstein-Uhlenbeck process, incorporating seasonal trends, mean reversion, and assuming monthly volatilities to model temperature dynamics. Our work extends the foundational methodology found in (Alaton et al., 2002), using Monte Carlo simulation and enhanced with a variance reduction technique using the control variate approach, leveraging a correlated Asian option under a Geometric Brownian Motion framework which significantly improves computational efficiency. Findings show that these methods could be effective when pricing temperature-based instruments and hence offering practical implications for industries like agriculture, energy, transportation, tourism, data center, etc. This research also aims to contribute to the broad understanding of the topic of Weather Derivatives as we explore use cases that fit different local economies, and we touch upon the challenges faced when pricing such instruments in the incomplete markets’ framework. 2025-02-16T08:00:00Z thesis application/pdf https://fount.aucegypt.edu/etds/2492 https://fount.aucegypt.edu/context/etds/article/3541/viewcontent/Karim_Hussein___From_Climate_to_Contracts_Advancing_Temperature_Options_Pricing__1_.pdf Theses and Dissertations AUC Knowledge Fountain Weather derivatives temperature option temperature modeling pricing model Stochastic Processes Monte Carlo simulations control variates Finance and Financial Management |
| spellingShingle | Weather derivatives temperature option temperature modeling pricing model Stochastic Processes Monte Carlo simulations control variates Finance and Financial Management Hussein, Karim From Climate to Contracts: Advancing Temperature Options Pricing |
| title | From Climate to Contracts: Advancing Temperature Options Pricing |
| title_full | From Climate to Contracts: Advancing Temperature Options Pricing |
| title_fullStr | From Climate to Contracts: Advancing Temperature Options Pricing |
| title_full_unstemmed | From Climate to Contracts: Advancing Temperature Options Pricing |
| title_short | From Climate to Contracts: Advancing Temperature Options Pricing |
| title_sort | from climate to contracts advancing temperature options pricing |
| topic | Weather derivatives temperature option temperature modeling pricing model Stochastic Processes Monte Carlo simulations control variates Finance and Financial Management |
| url | https://fount.aucegypt.edu/etds/2492 https://fount.aucegypt.edu/context/etds/article/3541/viewcontent/Karim_Hussein___From_Climate_to_Contracts_Advancing_Temperature_Options_Pricing__1_.pdf |
| work_keys_str_mv | AT husseinkarim fromclimatetocontractsadvancingtemperatureoptionspricing |