Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

An Application of Deep Hedging in Pricing and Hedging Caplets on the Prime Lending Rate

Derivatives in South Africa are traded via an exchange, such as the JSE's derivatives markets, or over-the-counter (OTC). This dissertation focuses on the pricing and hedging of caplets written on the South African prime lending rate. In a complete market, caplets can be continuously hedged with zer...

Full description

Saved in:
Bibliographic Details
Main Author: Patel, Keyur
Other Authors: Mahomed, Obeid
Format: Thesis
Language:English
Published: Department of Finance and Tax 2023
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867613146022150144
access_status_str Open Access
author Patel, Keyur
author2 Mahomed, Obeid
author_browse Mahomed, Obeid
Patel, Keyur
author_facet Mahomed, Obeid
Patel, Keyur
author_sort Patel, Keyur
collection Thesis
description Derivatives in South Africa are traded via an exchange, such as the JSE's derivatives markets, or over-the-counter (OTC). This dissertation focuses on the pricing and hedging of caplets written on the South African prime lending rate. In a complete market, caplets can be continuously hedged with zero risk. However, in the particular case of caplets written on the prime lending rate, market completeness ceases to exist. This is because the prime lending rate is a benchmark for retail lending and is not tradeable, in general. Since parametric models may not be specified and calibrated for such incomplete markets, the aim of this dissertation is to consider the deep hedging approach of Buehler et al. (2019) for pricing and hedging such a derivative. First, a model dependent approach is taken to set a benchmark level of performance. This approach is derived using techniques outlined in West (2008) which rely heavily on interest rate pairs being cointegrated to use the market standard Black (1976) model. Thereafter, the deep hedging approach is considered in which a neural network is set up and used to price and hedge the caplets. The deep hedging approach performs at least as well as the model dependent approach. Furthermore, the deep hedging approach can also be used to recover a volatility skew which is in fact, needed as an input in the model dependent approach. The approach has certain downsides to it: a rich set of historical data is required and it is more time consuming to conduct than the model dependent approach. The deep hedging approach, in this specific implementation, also has a limitation that only one hedge instrument is used. When this limitation is also applied to the model dependent approach, the deep hedging approach performs better in all cases. Therefore, deep hedging proves to be a sufficient alternative to pricing and hedging caplets on the prime lending rate in an incomplete market setting.
format Thesis
id oai:open.uct.ac.za:11427/37736
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:31:30.019Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher Department of Finance and Tax
publisherStr Department of Finance and Tax
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/37736 An Application of Deep Hedging in Pricing and Hedging Caplets on the Prime Lending Rate Patel, Keyur Mahomed, Obeid Mathematical Finance Derivatives in South Africa are traded via an exchange, such as the JSE's derivatives markets, or over-the-counter (OTC). This dissertation focuses on the pricing and hedging of caplets written on the South African prime lending rate. In a complete market, caplets can be continuously hedged with zero risk. However, in the particular case of caplets written on the prime lending rate, market completeness ceases to exist. This is because the prime lending rate is a benchmark for retail lending and is not tradeable, in general. Since parametric models may not be specified and calibrated for such incomplete markets, the aim of this dissertation is to consider the deep hedging approach of Buehler et al. (2019) for pricing and hedging such a derivative. First, a model dependent approach is taken to set a benchmark level of performance. This approach is derived using techniques outlined in West (2008) which rely heavily on interest rate pairs being cointegrated to use the market standard Black (1976) model. Thereafter, the deep hedging approach is considered in which a neural network is set up and used to price and hedge the caplets. The deep hedging approach performs at least as well as the model dependent approach. Furthermore, the deep hedging approach can also be used to recover a volatility skew which is in fact, needed as an input in the model dependent approach. The approach has certain downsides to it: a rich set of historical data is required and it is more time consuming to conduct than the model dependent approach. The deep hedging approach, in this specific implementation, also has a limitation that only one hedge instrument is used. When this limitation is also applied to the model dependent approach, the deep hedging approach performs better in all cases. Therefore, deep hedging proves to be a sufficient alternative to pricing and hedging caplets on the prime lending rate in an incomplete market setting. 2023-04-14T08:53:10Z 2023-04-14T08:53:10Z 2022 2023-04-14T07:30:46Z Master Thesis Masters MPhil http://hdl.handle.net/11427/37736 eng application/pdf Department of Finance and Tax Faculty of Commerce
spellingShingle Mathematical Finance
Patel, Keyur
An Application of Deep Hedging in Pricing and Hedging Caplets on the Prime Lending Rate
thesis_degree_str Master's
title An Application of Deep Hedging in Pricing and Hedging Caplets on the Prime Lending Rate
title_full An Application of Deep Hedging in Pricing and Hedging Caplets on the Prime Lending Rate
title_fullStr An Application of Deep Hedging in Pricing and Hedging Caplets on the Prime Lending Rate
title_full_unstemmed An Application of Deep Hedging in Pricing and Hedging Caplets on the Prime Lending Rate
title_short An Application of Deep Hedging in Pricing and Hedging Caplets on the Prime Lending Rate
title_sort application of deep hedging in pricing and hedging caplets on the prime lending rate
topic Mathematical Finance
url http://hdl.handle.net/11427/37736
work_keys_str_mv AT patelkeyur anapplicationofdeephedginginpricingandhedgingcapletsontheprimelendingrate
AT patelkeyur applicationofdeephedginginpricingandhedgingcapletsontheprimelendingrate