scholarly journals Bond Portfolio Allocations in South Africa Emerging Markets

Author(s):  
Jinghua Wang ◽  
John Bilson

Over the past fifty years, economic growth in emerging markets has been supported by investments in capital and technology from the developed world. The benefit of this development for the emerging markets, as measured by growth in income, employment, and wealth, is immediately apparent. There have also been significant advantages for the developed world through opportunities for higher risk adjusted returns from investments in emerging markets. This study explores the benefits of the diversification of global government bond portfolio, and provides complete performance evaluations of DMs with or without South Africa emerging market (SAEM) bonds. The study examines the benefits of inclusion of SAEM bonds in DMs, the degrees of financial integration among the research markets, the relative bond returns of dynamic factor models with time-varying coefficients and the robust tests of bond portfolio performance between DMs with SAEM and bond index. The results of this study provide important implications for global investors by identifying diversification gains in SAEM.

Author(s):  
Kamal Smimou

This chapter seeks to elucidate the relations of U.S.-listed global commodity futures, the business cycle, and stocks and bonds of emerging markets. It shows that global investors poised to benefit from investing in emerging market securities can concurrently learn from and better understand the dynamic intermarket relations when establishing such trading strategies. Investment in emerging markets can enhance the performance and sturdiness of an equity or bond portfolio strategy. Evidence lends support to the conjecture that a subtle contemporaneous and occasionally trailing effect exerted by the movement of global commodities on the business cycle exists. Global commodities also affect equity and bond market dynamics. The evidence also reveals differences in terms of economic significance and magnitude among selected emerging nations and across various commodities.


2012 ◽  
Vol 28 (6) ◽  
pp. 1217 ◽  
Author(s):  
Lumengo Bonga-Bonga

<span style="font-family: Times New Roman; font-size: small;"> </span><p style="margin: 0in 0.5in 0pt; text-align: justify; mso-pagination: none;" class="MsoNormal"><span style="font-family: Times New Roman;"><span style="color: black; font-size: 10pt; mso-themecolor: text1;">This paper investigates the possible influence equity price shocks have on economic activities and inflation in emerging market economies such as South Africa. Moreover, the paper discusses the role monetary policy action should play in preventing or reducing the disruptive effects of equity market volatility in emerging markets. It uses the structural vector error correction (SVEC) model to identify the different shocks and obtain the impulse response functions in a case study of South Africa. The paper finds that positive shocks to equity prices negatively affect expected inflation in the first two quarters before the effect becomes positive. This finding indicates that initially </span><span lang="EN-ZA" style="color: black; font-size: 10pt; mso-themecolor: text1; mso-ansi-language: EN-ZA;">high stock market valuations raise the expectation of high capital and labour productivity by investors. Later on, the possibility of high stock prices increasing economic activity creates an expectation of high inflation rates in the future. From this finding, the paper concludes that the monetary authority in emerging markets in general and South Africa in particular should include equity prices in its reaction function. </span></span></p><span style="font-family: Times New Roman; font-size: small;"> </span>


2015 ◽  
Vol 10 (4) ◽  
pp. 670-683
Author(s):  
Yudhvir Seetharam ◽  
James Britten

Purpose – The purpose of this paper is to expand on the sparse literature on non-linear modelling in South Africa and test for non-linearity of the market cycle on the Johannesburg Stock Exchange, with specific focus on a particular non-linear model – a Smooth Transition Auto-Regressive (STAR) model. Design/methodology/approach – Non-linear estimation methods are used to describe the market cycle, as defined by equity prices, for the period 1998-2010. Findings – In applying the STAR model to daily, weekly and monthly returns data, it was found that the fit of this family of models differs heavily based on the frequency of data used. The daily Logarithmic STAR (LSTAR) model was found to be the best fit relative to other data frequencies. Indeed, the weekly LSTAR model, while still appropriate to use, was less apt at forecasting than its daily counterpart. Monthly return data indicated that a linear AR model was more appropriate than a non-linear one. Practical implications – The results assist in understanding the cyclical nature of emerging markets as well contributing to the understanding of creating a portfolio consisting of international securities. If one can show that equity returns in a particular emerging market follow non-linear behaviour, expanding this hypothesis to other emerging markets enables a minimum variance portfolio to be constructed that is informed by returns changing over time. Originality/value – The findings can be used for further research into share price modelling, portfolio management and perhaps as an avenue into the reasoning behind the formation of market cycles.


2021 ◽  
Vol 13 (21) ◽  
pp. 12234
Author(s):  
Henri Bezuidenhout ◽  
Gabriel Mhonyera ◽  
Jacob Van Rensburg ◽  
Hsia Hua Sheng ◽  
José Marcos Carrera ◽  
...  

A remarkable proliferation in the number of non-financial emerging multinational enterprises (NFEMNEs) and their share in the aggregate outward foreign direct investment (OFDI), along with the complexity of their FDI activities, has been witnessed over the past decades. Consequently, considerable interest has been generated within and among countries regarding the implications of these relatively new significant emerging global players for a range of economic and policy issues. In order to understand the gaps in knowledge pertaining to their identities, activities and impacts, this article employs the results of our 2015 emerging markets global players (EMGP) reports to make logical and informed insinuations about the structure and profile of NFEMNEs originating from China, Brazil and South Africa, the largest emerging markets in Asia, Latin America and Africa. We also synthesise and compare the outcomes of the 2015 EMGP reports of these OFDI home countries. We find the existence of a pattern in the ranked top NFEMNEs, from each country, in terms of industry sectors, regionalism and national bias. Furthermore, we establish that the respective NFEMNEs participated in international markets to pursue larger markets, natural resources and strategic assets and were not crowded out of their domestic markets by inward FDI.


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Ntungufhadzeni F. Munzhelele ◽  
Hendrik Wolmarans ◽  
John Hall

Background: The dividend payout policy remains one of the key functional areas of corporate finance because it is through receipt of dividends that shareholders can share in the profits of their investments. Amongst the dividend payout theories that have been developed over the decades, the life-cycle hypothesis has received little attention in research.Aim: The aim of this study was to test the dividend life-cycle hypothesis in the South African contex.Motivation for the study: Justification for this study in the context of South Africa is that there is minimal research in this regard in emerging economies. South Africa presents a good platform for this research because it is amongst the highly regarded emerging markets and this has been confirmed by its representation in Brazil, Russia, India, China and South Africa (BRICS) countries. Hence, results in this regard would shed some light in the form of a relative representation of overall emerging markets trend.Research approach/design and method: A panel data of 119 Johannesburg Stock Exchange (JSE) listed sample companies were used to test the hypothesis during the period 2006–2015. A combination of basic and dynamic panel data estimators was used to analyse the data.Main findings: The study finds that the dividend life-cycle hypothesis is prevalent amongst South African companies. Specifically, it was observed that the considered companies pursuing growth projects paid less dividends. Furthermore, the growth companies have shown to be more aggressive in their pursuit for growth and hence are able to create more value for shareholders than value for companies.Managerial implications: Financial managers will be afforded with enhanced decision alternatives in respect of their fiduciary duties towards the shareholders in respect of maximising value.Conclusion: These results provide a mirror image of those of the developed markets and a good context for future research in the same area in an emerging economy setting.


2019 ◽  
Vol 9 (3) ◽  
pp. 66-73 ◽  
Author(s):  
Ahmed S. Alanazi ◽  
Saad A. Alhoqail

This paper examines the relationship between corporate governance and firms’ performance (stock returns) in the emerging market. The paper fills the need for empirical evidence on governance issues in the scarce emerging markets compared to the developed world. Exploiting a unique dataset on the corporate governance index for the largest 90 companies listed on the Saudi stock market, we construct two portfolios. We compare the performance of good governed companies and poorly governed firms. We find that good governed portfolio outperforms the poor one. Nevertheless, regression results do not show any association between corporate governance score and performance. We interpret this as weak evidence for the link between corporate governance and firms’ performance.


10.29007/jlq6 ◽  
2019 ◽  
Author(s):  
Thabang Mofokeng

The technology devices introduced in recent years are not only vulnerable to Internet risks but are also unable to elevate the growth of B2C e-commerce. These concerns are particularly relevant today, as the world transitions into the Fourth Industrial Revolution. To date, existing research has largely focused on obstacles to customer loyalty. Studies have tested e-commerce models guided by the establishment of trusting, satisfied and loyal consumers in various international contexts. In South Africa, however, as an emerging market, there has been limited research on the success factors of online shopping.This study examines the influence of security and privacy on trust, seen as a moderator of customer satisfaction, which in turn, has an effect on loyalty towards websites. Based on an exhaustive review of literature, a conceptual model is proposed on the relationships between security and privacy on the one hand, and customer trust, satisfaction and loyalty on the other. A total of 250 structured, self-administered questionnaires was distributed to a purposively selected sample of respondents using face-to-face surveys in Johannesburg, South Africa. A multivariate data analysis technique was used to draw inferences from the data. With an 80.1% response rate, the findings showed that privacy and security do influence customer trust; security strongly influences customer trust and weakly influences satisfaction. In South Africa, customer loyalty towards websites is strongly determined by satisfaction and weakly determined by trust. Trust significantly moderates the effect of customer satisfaction on loyalty. The study implications and limitations are presented and future research directions are suggested.


Author(s):  
Raquel Castaño ◽  
David Flores

Emerging markets are substantially different from markets in high-income, industrialized societies. While many aspects of consumer behavior are the result of inherent psychological processes and are, thus, generalizable across countries and cultures, the specific contextual characteristics of emerging markets can significantly influence other aspects of consumer behavior. In this chapter, we explore the behavior of emerging market consumers. This chapter reviews the existing literature and proposes an initial framework delineating the main differences between emerging markets and developed markets consumers that describe how consumers in these societies recognize a need for, select, evaluate, buy, and use products. The chapter discusses the issues and contributions of the research on emerging consumers and presents implications of extant research for international managers. Finally, the chapter elaborates on an agenda for future research in this area.


Eng ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 99-125
Author(s):  
Edward W. Kamen

A transform approach based on a variable initial time (VIT) formulation is developed for discrete-time signals and linear time-varying discrete-time systems or digital filters. The VIT transform is a formal power series in z−1, which converts functions given by linear time-varying difference equations into left polynomial fractions with variable coefficients, and with initial conditions incorporated into the framework. It is shown that the transform satisfies a number of properties that are analogous to those of the ordinary z-transform, and that it is possible to do scaling of z−i by time functions, which results in left-fraction forms for the transform of a large class of functions including sinusoids with general time-varying amplitudes and frequencies. Using the extended right Euclidean algorithm in a skew polynomial ring with time-varying coefficients, it is shown that a sum of left polynomial fractions can be written as a single fraction, which results in linear time-varying recursions for the inverse transform of the combined fraction. The extraction of a first-order term from a given polynomial fraction is carried out in terms of the evaluation of zi at time functions. In the application to linear time-varying systems, it is proved that the VIT transform of the system output is equal to the product of the VIT transform of the input and the VIT transform of the unit-pulse response function. For systems given by a time-varying moving average or an autoregressive model, the transform framework is used to determine the steady-state output response resulting from various signal inputs such as the step and cosine functions.


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