Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 57 for “"Financial Markets and Risk Management"”.
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Topics in market microstructure, misconduct and systemic risk: an empirical analysis of the South African equity market
… recent developments in the South African capital markets are presented in this thesis. The first study presents an empirical analysis of the systemic risk exposures and contributions of 125 financial institutions between 2003 and 2018. Using two popular measures of systemic risk, the marginal …
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A decentralised asset registry to expand access to finance for the agricultural sector in South Africa
… agriculture; of this, only a few have access to financial services catered for their business. To get financial assistance, farmers have to provide sufficient collateral in the form of land, machinery and other large assets, many of which they do not own. Instead, farmers own mostly agricultural …
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Model Calibration with Machine Learning
… 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 and constant elasticity of variance models are used to demonstrate …
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Application of Adjoint Differentiation (AD) for Calculating Libor Market Model Sensitivities
This dissertation explores a key challenge of the financial industry — the efficient computation of sensitivities of financial instruments. The adjoint approach to solving affine recursion problems (ARPs) is presented as a solution to this challenge. A Monte Carlo setting is adopted and it is …
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"Online Platform for Deep Learning Education"
… 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 background to the mathematics of neural networks and …
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Term structure models with unspanned factors and unspanned stochastic volatility
… Formal definitions of unspanned factors and USV are developed, generalising ones tentatively proposed in the literature. Several results from these definitions and the accompanying framework are derived. Particularly, the ability to hedge general claims (i.e., the completeness or lack …
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Linear-Rational Term Structure Models With Flexible Level-Dependent Volatility
… which allows for the addition of spanned and unspanned factors, while maintaining a lower bound on rates and tractable valuation of interest rate derivatives, particularly swaptions. The advantages of having all these properties are significant. This dissertation presents the …
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A Feasibility Study on Using the Blockchain to Build a Credit Register for Individuals Who Do Not Have Access to Traditional Credit Scores
In South Africa and many other countries, credit registers and credit scores are used to determine how much credit a person can get access to, as well as the interest rate which they will be charged. In addition to this, some companies (such as insurance companies and rental agencies), use this …
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Application of Volatility Targeting Strategies within a Black-Scholes Framework
… evidence to suggest that this assumption is weak and that actual return distributions are non-Gaussian. This dissertation looks at algorithmically generating a Volatility Targeting Strategy (VTS) which can be used as an underlying asset. The rationale here is that since the VTS has a constant …
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A Machine Learning Approach to Predicting the Employability of a Graduate
… many credit-offering institutions, such as banks and retailers, credit scores play an important role in the decision-making process of credit applications. It becomes difficult to source the traditional information required to calculate these scores for applicants that do not have a credit …
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Kalman Filtering and the Estimation of Multi-factor Affine Term Structure Models
… 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 models. Practitioners often recover different parameter optimisations depending on the initial …
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How to build a self-sovereign identity system that is beneficial to both the individual and business
… 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 how to develop such a system using Ethereum’s smart contract platform and a …
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The impact of the FRTB on Market Risk Capital for the South African InterBank Interest Rate Market
… to hold a minimum amount of capital for market risk resulting from their trading operations and prescribe two approaches to calculating this minimum capital requirement: (i) a Standardised Approach (SA); and (ii) an Internal Models Approach (IMA). The global financial crisis of 2008 highlighted …
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Empirical Analysis ot the Top 800 Cryptocurrencies using Machine Learning Techniques
… based on their economic, technological, legal and industry categorization. This work analyzes cryptocurrency data to evaluate the categorization with real-world market data. The feature space includes price, volume and market capitalization data. Additional metrics such as the moving average …
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Pricing American/Bermudan-style Options under Stochastic Volatility
… is introduced which is based on Rambharat and Brockwell (2010). We price American options under the Heston and Bates stochastic volatility models where volatility is assumed to be a latent process. The pricing algorithm is based on the least-squares Monte Carlo approach made popular by …
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Modelling the South African Inter-Bank Interest Rate Market using a Log-Normal Rational Pricing Kernel Model
… 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 swaptions. Model-performance for both models was tested on single-strikes and entire volatility …
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Break-even volatility for caps, floors and swaptions
… sheds light on the inner structure of the market and is a promising investigatory tool. Insurance houses in South Africa are interested in modelling long-dated interest rate derivatives embedded within their liabilities. In pursuit of this goal, some are currently calibrating the Lognormal …
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Pricing multi-asset options in exponential levy models
… two exponential Levy models are implemented and tested: the multi- ´ variate Variance Gamma (VG) model and the multivariate normal inverse Gaussian (NIG) model. Both models are calibrated to real market data and then used to price basket options, where the underlyings are the constituents of …
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Level Dependence in Volatility in Linear-Rational Term Structure Models
… depends on the type of model implementation and general economic conditions.
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Bias-Free Joint Simulation of Multi-Factor Short Rate Models and Discount Factor
This dissertation explores the use of single- and multi-factor Gaussian short rate models for the valuation of interest rate sensitive European options. Specifically, the focus is on deriving the joint distribution of the short rate and the discount factor, so that an exact and unbiased simulation …
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