Author:Riedl, Anna TeresaDate:2019The International Token Classification (ITC) Framework by the Blockchain Center in Frankfurt classifies 795 cryptocurrency tokens based on their economic, technological, legal and industry categorization. This work analyzes cryptocurrency ...Read more
Author:Patel, KavirDate:2018The valuation of employee stock options has become a key requirement due to the rapid growth in the use of these options as a means of employee compensation. IFRS 2 Share-based Payment stipulates that these instruments must be valued and ...Read more
Author:Crawford, Danielle AnaDate:2019Estimating and extrapolating long term equity implied volatilities is of importance in the investment and insurance industry, where ’long term’ refers to periods of ten to thirty years. Market-consistent calibration is difficult to perform ...Read more
Author:Landman, JaysonDate: 2020The purpose of this study is to present and test a general framework for risk-based investing. It permits various risk-based portfolios such as the global minimum variance, equal risk contribution and equal weight portfolios. The framework ...Read more
Author:Bhamani, FerozDate:2018It is often a goal of the risk management of a portfolio of interest rate sensitive instruments to minimize the impact of movements in market rates on the value of the portfolio. This can be done by considering the sensitivity of the portfolio ...Read more
Author:Meiklejohn, Luke SDate:2021Data ownership is of fundamental importance in the digital economy of today. Commercializing academic research, whilst maintaining ownership of it, is a task that can now be accomplished due to the strengths of blockchain technology, which ...Read more
Author:Moodley, JothiDate:2019Self-sovereign identity defines a system in which an entity can generate and maintain their own proof of identity. There are several solutions aimed at providing this service and storing the relevant information on a blockchain. We describe ...Read more
Author:Mashalaba, QaphelaDate:2019The problem of pricing contingent claims in a complete market has received a significant amount of attention in literature since the seminal work of Black, Fischer and Scholes, Myron (1973). It was also in 1973 that the theory of backward ...Read more
Author:Mbele, Buhlebezwe Bandile SthombeDate: 2020Since its development in 1997, the LIBOR market model has gained widespread use in interest rate modelling, largely owing to its consistency with the Black futures formula for pricing interest rate caps and floors. From its original ...Read more
Author:Tokwe,ThaboDate:2018When optimising the likelihood function one often encounters various stationary points and sometimes discontinuities in the parameter space (Gupta and Mehra, 1974). This is certainly true for a majority of multi-factor affine term structure ...Read more
Author:Pavlou, PetroDate:2019The post 2007-financial crisis era has led to renewed zeal in quantifying market incompleteness when pricing contingent claims. This quantification exercise is necessary in maintaining a stable and sustainable banking operation and thus the ...Read more
Author:Soane, AndrewDate:2018Particle filtering in stochastic volatility/jump models has gained significant attention in the last decade, with many distinguished researchers adding their contributions to this new field. Golightly (2009), Carvalho et al. (2010), Johannes ...Read more
Author:Ramnarayan, KalindDate:2019The degree of level dependence in interest rate volatility is analysed in the linearrational term structure model. The linear-rational square-root (LRSQ) model, where level dependence is set a priori, is compared to a specification where the ...Read more
Author:Schwellnus, AdrianDate:2018The Linear-Rational Framework for the modelling of interest rates is a framework which allows for the addition of spanned and unspanned factors, while maintaining a lower bound on rates and tractable valuation of interest rate derivatives, ...Read more
Author:Cowen, NicholasDate: 2020Volatility modelling is used predominantly in order to explain the volatility smile observed in the market. Stochastic volatility models are mainly used to capture the curvature of a volatility smile while local volatility models generally ...Read more
Author:Haussamer, Nicolai HaussamerDate:2018This dissertation focuses on the application of neural networks to financial model calibration. It provides an introduction to the mathematics of basic neural networks and training algorithms. Two simplified experiments based on the Black-Scholes ...Read more
Author:Gorven, MatthewDate:2018The Bates model provides a parsimonious fit to implied volatility surfaces, and its usefulness in developed markets is well documented. However, there is a lack of research assessing its applicability to developing markets. Additionally, ...Read more
Author:Van Jaarsveldt, ColeDate:2019This dissertation follows, scrupulously, the probability of default model used by the National University of Singapore Risk Management Institute (NUS-RMI). Any deviations or omissions are noted with reasons related to the scope of this study ...Read more
Author:Hammond, GraemeDate:2019This dissertation examines the performance of two log-normal rational pricing kernel models and their calibration to the South African Inter-bank interest rate market. We investigate using Monte-Carlo simulation to price caps, floors and ...Read more
Author:Fourie, AidanDate:2019My thesis is going to focus on the development of a standalone, web based, machine learning educational platform. This platform will have a specific focus on neural networks. This tool will have the primary intention to provide a theoretical ...Read more