<p>This study explored the livelihood activities in female-headed households in Vrygrond, Cape Town. The objective of this study was to identify and analyse livelihood strategies adopted by female-headed households. The Capability Approach was used as a theoretical framework of the study. This approach drew on the idea that resources and abilities enable people to achieve a range of valued ways of being and doing.</p>

Practitioners and academics in emerging markets are yet to agree on how best they can value companies in emerging markets. In contrast, academics and practitioners in developed markets seem to agree on mainstream valuation practices (Bruner, Eades, Harris and Haggins, 1998; Graham and Harvey, 2001). This study was therefore aimed at achieving such consensus with particular attention being paid to the emerging market banks. Emerging market banks are by no means small and are growing fast. Furthermore, these banks are currently involved in lots of cutting age economic activities such as mergers and acquisitions (M&A), joint ventures and strategic alliances which require sound valuation practices that are based on empirical evidence. The primary purpose of this research was to establish consensus of opinion among experts with regard to the valuation of banks in emerging markets. To achieve the purpose of this study the Delphi technique, which is a structured survey method that relies on a panel of experts to answer questionnaires in two or more Delphi rounds, was used to gather data and develop consensus among experts (Kalaian and Kasim, 2012). The main findings in this study pertain to aspects concerning the type of analysis considered by experts when analysing the performance of banks, how experts compare the discounted cash flow (DCF) approach to multiples valuation approach, the challenges encountered by experts when valuing banks in emerging markets, and how experts compute the cost of capital for banks in emerging markets. The main findings of this study can be summarised as follows: ∙ When analyzing the performance of banks, it is essential to conduct a bank-specific, industry and macroeconomic analysis; ∙ When estimating the future performance of banks, the time series analysis and an explicit forecast period of between 4-10 years may be used; ∙ When estimating the terminal value for banks in emerging markets, the perpetuity with growth is used; ∙ When computing the value for banks, the DCF valuation approach (equity DCF and DDM valuation models) are used as primary valuation methods and the relative valuation approach (P/E and P/BV ratio) are used as secondary valuation methods; ∙ The DCF valuation approach is considered as more accurate and popular when valuing banks in emerging markets; and ∙ When estimating the cost of equity, the capital asset pricing model (CAPM) is used.

Monthly returns on twenty-seven Eurobonds from July 1982 to June 1986 were examined. There were no consistent differences in returns based on the country in which a firm is located. There were consistent differences due to industry classification, with energy-related firms exhibiting higher average returns and variances. Excess returns were calculated using the capital asset pricing model and arbitrage pricing theory. The results from calculation of mean average deviation, root mean square, and R2 all indicate that the arbitrage pricing theory was a better descriptor of the Eurobond market. The excess returns were also examined using stochastic dominance. Arbitrage pricing theory never dominated the capital asset pricing model using first-order criteria, but consistently dominated using second-order criteria. The results were discussed in terms of the implications for investors and portfolio managers.

Small-scale timber farming provides alternative income for growers selling to forestry, procurement companies and timber suppliers or agents. The research used focus groups and structured questionnaires in the Sokhulu area to determine the contribution of small-scale timber farming to enhance sustainable livelihood. The Sustainable Livelihood Framework measured livelihood levels of different grower types in terms of access to natural, human, financial, social and physical assets. Findings show that timber suppliers had a higher asset composition, than growers selling to companies or growers selling to timber suppliers. Households lacking access to forestry resources sold timber to agents and households wanting to avoid harvesting and transport risks sold timber to suppliers. Timber farming contributes income, employment and business opportunities towards alleviating poverty rather than providing a complete solution. Tree harvesting support households during financial hardship and reduce vulnerability through diversified livelihood strategies. Disadvantages include: trees taking time to mature while immediate income is required, trees exposed to natural hazards, cheating by local harvesting and transport contractors and timber plot sales sometimes do not receive the agreed price. Despite disadvantages, timber farming provide economic benefits and further studies are needed to determine income level on mature trees, by-product sales and whether higher prices for more tonnage will sustain households that wait for tree maturity, thereby determining optimal break-even point for rural timber farmers. / Environmental Sciences / M.A. (Human Ecolgy)

Artificial intelligence, AI, has received increasing attention from the finance industry over recent years. There have been many successful applications of AI in finance, including but not limited to derivative pricing, asset management, credit risk, algorithmic trading, and simulation of time series with stylized facts. This thesis introduces various applications of AI in two major fields, namely (a) quantitative/computational finance and (b) asset management. In each chapter, we address non-stationarity of markets under consideration and focus on building methodologies that would work under the non-stationary behavior of those market. In computational finance, fast and accurate algorithms are of great importance, especially when analytical solutions are unavailable. Although traditional methods are reliable and easily explainable, they are computationally expensive. Transform methods like Fast-Fourier transform provide faster option pricing, yet they cannot be applied to path-dependent products. In Chapter 2, we build a pricing engine based on supervised deep neural networks. We show that neural networks can replicate major stochastic processes with or without stochastic volatility in both pure diffusion and pure jump frameworks. We validate our models across different ranges of model parameters. Supervised neural networks accelerate the derivative pricing significantly compared to traditional methods. Applications of AI in asset management are triggered by different dynamics, but they are fully data-driven and thus rely on the availability of data. Chapter 3 proposes a novel prediction framework for cash flow forecasting of illiquid products/assets. Our single-step neural network model provides the investors and managers of funds with a tool to manage the liquidity of their cash flows for financial planning. Our framework is also sensitive to adverse market conditions that could help prepare for upcoming crises such as Covid. In Chapter 4, we propose novel methodologies for mergers and acquisitions (M&A) to predict the deal announcement based on rumors and takeover success. M&A data is highly imbalanced in nature, and the cost of misclassifying a cancelled rumor/cancelled deal as announced deal/takeover success is higher than the other. Hence, we utilize sequential model-based optimization with tree-parzen estimators to maximize the recall score by tuning hyperparameters of neural networks. We improve the recall by 10% without sacrificing accuracy, and our results show that the proposed methodology is robust against changing market environments. In the last chapter, we build a two-step neural network model for sector rotation strategies using macroeconomic variables. The portfolio built based on our proposed model not only beats the benchmark portfolio but can also predict longer horizons.

Thesis (MSc)--Stellenbosch University, 2013. / ENGLISH ABSTRACT: In modern theory of finance, the so-called First and Second Fundamental Theorems of Asset Pricing play an important role in pricing options with no-arbitrage. These theorems gives a necessary and sufficient conditions for a market to have no-arbitrage and for a market to be complete. An early version of the First Fundamental Theorem of Asset Pricing was proven by Harrison and Kreps [30] in the case of a finite probability space. A more general version was proven by Harrison and Pliska [31] in the case of a finite probability space and discrete time. In the case of continuous time, Delbaen and Schachermayer [19] introduced a more general concept of no-arbitrage called "No-Free Lunch With Vanishing Risk" (NFLVR), and showed that for a locally-bounded semimartingale price process NFLVR is essentially equivalent to the existence of an equivalent local martingale measure. The goal of this thesis is to review the theory of arbitrage pricing and the extension of this theory to include liquidity risk. At the current time, liquidity risk is a key challenge faced by investors. Consequently there is a need to develop more realistic pricing models that include liquidity risk. We present an approach to liquidity risk by Çetin, Jarrow and Protter [10]. In to this approach the liquidity risk is embedded into the classical theory of arbitrage pricing by having investors act as price takers, and assuming the existence of a supply curve where prices depend on trade size. This framework assumes that the quantity impact on the price transacted is momentary. Using trading strategies that are both continuous and of finite variation allows one to avoid liquidity costs. Therefore, the First and Second Fundamental Theorems of Asset Pricing and the Black-Scholes model can be extended. / AFRIKAANSE OPSOMMING: In moderne finansiële teorie speel die sogenaamde Eerste en Tweede Fundamentele Stellings van Bateprysbepaling ’n belangrike rol in die prysbepaling van opsies in arbitrage-vrye markte. Hierdie stellings gee nodig en voldoende voorwaardes vir ’n mark om vry van arbitrage te wees, en om volledig te wees. ’n Vroeë weergawe van die Eerste Fundamentele Stelling was deur Harrison en Kreps [30] bewys in die geval van ’n eindige waarskynlikheidsruimte. ’n Meer algemene weergawe was daarna gepubliseer deur Harrison en Pliska [31] in die geval van ’n eindige waarskynlikheidsruimte en diskrete tyd. In die geval van kontinue tyd het Delbaen en Schachermayer [19] ’n meer algemene konsep van arbitragevryheid ingelei, naamlik “No–Free–Lunch–With–Vanishing–Risk" (NFLVR), en aangetoon dat vir lokaalbegrensde semimartingaalprysprosesse NFLVR min of meer ekwivalent is aan die bestaan van ’n lokaal martingaalmaat. Die doel van hierdie tesis is om ’n oorsig te gee van beide klassieke arbitrageprysteorie, en ’n uitbreiding daarvan wat likideit in ag neem. Hedendaags is likiditeitsrisiko ’n vooraanstaande uitdaging wat beleggers die hoof moet bied. Gevolglik is dit noodsaaklik om meer realistiese modelle van prysbepaling wat ook likiditeitsrisiko insluit te ontwikkel. Ons bespreek die benadering van Çetin, Jarrow en Protter [10], waar likiditeitsrisiko in die klassieke arbitrageprysteorie ingesluit word deur die bestaan van ’n aanbodkromme aan te neem, waar pryse afhanklik is van handelsgrootte. In hierdie raamwerk word aangeneem dat die impak op die transaksieprys slegs tydelik is. Deur gebruik te maak van handelingsstrategië wat beide kontinu en van eindige variasie is, is dit dan moontlik om likiditeitskoste te vermy. Die Eerste en Tweede Fundamentele Stellings van Bateprysbepaling en die Black–Scholes model kan dus uitgebrei word om likiditeitsrisiko in te sluit.

This paper investigates the role of the global excess liquidity for macroeconomic variables, especially asset prices and external imbalance in China. We estimate structural VAR model and find evidence that the surge in global liquidity has limited effects on China's price level, output and asset prices. By inspecting the structural decomposition, we find that global output and inflation shocks affect domestic macroeconomic fluctuation. Using sign restrictions, we estimate the impacts of three structural shocks in driving the external imbalance and find that the global excess liquidity is a relevant factor while the shock to financial market may be a more important role in explaining the external imbalance than productivity shock. / Sun, Yun. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2012. / Includes bibliographical references (leaves 57-63). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Chapter 1. --- Introduction --- p.1 / Chapter 1.1. --- Introduction --- p.2 / Chapter 1.2. --- Theoretical background --- p.6 / Chapter 2. --- Data and methodology --- p.14 / Chapter 2.1. --- Data description --- p.14 / Chapter 2.2. --- Methodology --- p.16 / Chapter 3. --- Results and Interpretation --- p.21 / Chapter 3.1. --- Domestic SVAR results --- p.21 / Chapter 3.2. --- A global SVAR analysis for China --- p.35 / Chapter 4. --- Three structural shocks and global imbalance --- p.47 / Chapter 4.1. --- Sign restrictions analysis --- p.47 / Chapter 4.2. --- Empirical Evidence --- p.50 / Chapter 5. --- Conclusion --- p.54 / Chapter A. --- Data --- p.64

Thesis (Ph.D.)--University of Canterbury, 2006. / Typescript (photocopy). Includes bibliographical references (p. 223-236). Also available via the World Wide Web.

This research examines the role that modern portfolio theory (MPT) plays in current South Africa asset management practice in comparison to other portfolio management techniques and security evaluation methods. The purpose of asset management is to pool complementary financial market expertise, in order to generate returns in excess of the market return on the investments of the owners of financial resources that are entrusted to the firm, since the owners of financial resources might not be able to make superior investment decisions on their own. The research presents and discusses the literature pertaining to modern portfolio theory, traditional portfolio theory (fundamental and technical analyses), and behavioural finance theory. The implication of the efficient market hypothesis in relation to all the portfolio management theories is also presented and discussed. In line with a positivist paradigm, the survey research methodology, which combines both qualitative and quantitative aspects, was adopted. The instrument used for data collection was a questionnaire, which was found to be reliable and valid for this research. The questionnaire encompassed the Lickert scale to measure the data. The results of the analysis were interpreted using descriptive statistics. The results of this research suggest that modern portfolio theory does not play a significant role in the management of portfolios and security evaluation in South Africa. South African asset managers regard fundamental analysis as the most significant method of security evaluation in the management of portfolios. Technical analysis and econometric models are regarded as playing a moderate role and complement fundamental analysis whilst behavioural finance models play the least role. This research recommends an integrated portfolio management strategy that incorporates MPT, traditional portfolio theory and behavioural finance models to enhance investor value and protection.

Historically, the Consumption Capital Asset Pricing Method (C-CAPM) has performed poorly in that estimated parameters are implausible, model restrictions are often rejected and inferences appear to be very sensitive to the choice of economic agents' preferences. In this study, we estimate and test the C-CAPM with Constant Relative Risk Aversion (CRRA) using time series data from Germany, South Africa, Britain and America during relatively short time periods with the latest available data sets. Hansen's GMM approach is applied to estimate the parameters arising from this model. In general, estimated parameters fall outside the bounds specified by Lund & Engsted (1996) and Cuthbertson & Nitzsche (2004), even though the models are not rejected by the J-test and are associated with relatively small minimum distances.