LIQUIDITY AND THE INFORMATIONAL EFFICIENCY OF AFRICAN STOCK MARKETS

The hypothesis that a stock market price index follows a random walk is tested for 11 African stock markets, Botswana, Côte d'Ivoire, Egypt, Ghana, Kenya, Mauritius, Morocco, Nigeria, South Africa, Tunisia and Zimbabwe using joint variance ratio tests with finite-sample critical values, over the period beginning in January 2000 and ending in September 2006. The iid random walk hypothesis is rejected in all 11 markets. In four stock markets, Egypt, Nigeria, Tunisia and South Africa, weekly returns are a martingale difference sequence. Liquidity is an important factor which contributes to whether a stock market follows a random walk.     

The Mystery of Missing Real Spillovers in Southern Africa: Some Facts and Possible Explanations

Anecdotal evidence suggests that the economies of South Africa and its neighbours (Botswana, Lesotho, Mozambique, Namibia, Swaziland and Zimbabwe) are tightly integrated with each other. The multiple interconnections suggest that South Africa's GDP growth rate should affect positively its neighbours'. However, our review of the available econometric evidence and our panel growth regressions suggest that there is no strong evidence of real spillovers in the region after 1994, once global shocks are controlled for. More generally, we find no evidence of real spillovers from South Africa to the rest of the continent post‐1994. We investigate the possible reasons for this lack of spillovers. Most importantly, the economies of South Africa and the rest of Sub‐Saharan Africa might have decoupled in the mid‐1990s. That is when international sanctions on South Africa ended and the country re‐integrated with the global economy, while growth in the rest of the continent accelerated due to a combination of domestic and external factors.     

The impact of economic fundamentals on stock markets in southern Africa

The issue of whether stock markets reflect economic fundamentals or speculative bubbles is an important one for their potential role in allocating capital, and relates to a policy issue of whether stock markets should be encouraged in developing countries. This article examines the impact of both domestic and foreign economic factors on real stock market returns in three southern African stock markets – South Africa, Zimbabwe and Botswana, from 1985-95 – using cointegration and error correction techniques. It finds that, while in all cases stock markets are influenced by domestic economic growth, there are no common patterns beyond this. The influence of other domestic and economic variables depends on the size, openness and market-orientation of the individual economies, as well as the size and liquidity of the various stock exchanges. Where foreign economic variables are important, they appear to be those related to trade, rather than international capital flows, indicating that there is little integration of these capital markets, whether regionally or internationally.     

RISK–RETURN TRADE‐OFF AND BEHAVIOUR OF VOLATILITY ON THE SOUTH AFRICAN STOCK MARKET: EVIDENCE FROM BOTH AGGREGATE AND DISAGGREGATE DATA

The study analyses the nature and behaviour of volatility, the risk–return relationship and the long‐term trend of volatility on the South African equity markets using aggregate level, industrial level and sectoral level daily data for the period 1995‐2009. By employing dummy variables for the Asian and the sub‐prime financial crises and the 11 September political shock, the study further examines whether the long‐term trend of volatility structurally breaks during financial crises and major political shocks. Three time‐varying generalised autoregressive conditional heteroskedasticity models were employed: one of them symmetric, and the other two asymmetric. Each of these models was estimated based on three error distributional assumptions. The findings of the study are as follows: First, volatility is largely persistent and asymmetric. Second, risk at both aggregate and disaggregate level is generally not a priced factor on the South Africa (SA) stock market. Third, the threshold autoregressive conditional heteroscedasticity (TARCH) model under the generalised error distribution is the most appropriate model for conditional volatility of the SA stock market. Fourth, volatility generally increases over time, and its trend structurally breaks during financial crises and major global shocks. The policy and investment implications of the findings are outlined.     

LONG MEMORY IN THE VOLATILITY OF AN EMERGING FIXED‐INCOME MARKET: EVIDENCE FROM SOUTH AFRICA

This paper tests for long memory in volatility of fixed‐income returns; specifically, South Africa's local currency 10‐year government bond, given that the characterisation of stochastic long‐memory volatility is of interest and importance in portfolio and risk management. The long‐memory parameter is estimated using methods based on wavelets, which have gained prominence in recent years. Evidence of long memory in fixed‐income return volatility is conclusively demonstrated across a variety of volatility measures and wavelet forms. This finding suggests a pattern of time dependence, which may potentially be exploited to generate improved volatility forecasting performance especially over long horizons. This paper further extends the extant literature by comparing the predictive power of long‐memory forecasts with those obtained from a standard (short‐memory) generalised autoregressive conditional heteroskedasticity (GARCH) process. The results of this exercise suggest that the information content of long‐memory models does not lead to improved forecast accuracy. The GARCH(1,1) model is shown to provide the best forecasts across most horizons (i.e. daily, weekly and monthly). Forecast performance is further revealed to be sensitive to the choice of volatility proxy used. Finally, the derived volatility forecasts are generally very close, and in some cases, almost indistinguishable.     

Equity Risk Premium Puzzle: Evidence from Indonesia and Sri Lanka

This paper investigates the equity risk premium puzzle in the Indonesian and Sri Lankan stock markets in order to identify the relationship between the volatility of excess returns and the equity risk premium. The asymmetric impact of negative shocks on the equity risk premium is also examined using threshold and exponential GARCH-M models. We analyse data on the excess returns of the Indonesian and Sri Lankan stock markets from 2004 to 2013, and we find that the impact of the conditional volatility of excess returns on the equity risk premium is not significant in either country. Instead, we find an impact from negative return shocks on the equity risk premium only in Sri Lanka. Therefore, we conclude that investors are not compensated for the conditional volatility of the excess returns in these two markets, while Sri Lankan investors are compensated for the risk of negative shocks.     

LIQUIDITY AND VALUATION IN EAST AFRICAN SECURITIES MARKETS

This study estimates liquidity premiums using the recently developed Liu measure within a multifactor capital asset pricing model including size premiums and a time‐varying parameter model for the East African emerging markets of Uganda, Tanzania and Kenya together with London and South Africa. The evidence suggests that while size and liquidity effects are significant in the smaller emerging markets of Uganda and Kenya, they are less important in explaining returns in South Africa and London. Costs of equity are highest in Uganda followed by Kenya, with industrial and consumer non‐cyclical sectors being lowest, and then South Africa and London.     

The Impact of Firm Size and Liquidity on the Cost of External Finance in Africa

Established illiquidity measures are constructed for emerging markets in Africa and used to determine which best explains trading costs. Costs of equity are derived from an augmented Capital Asset Pricing Model for a sample of emerging financial markets generally ignored in the literature. These include: South Africa and Namibia, three countries in North Africa and four in Sub‐Saharan Africa (SSA), plus London and Paris as examples of integrated markets. Minimum variance portfolios are constructed and asset weights derived, with the sample divided into countries dependent on their legal regime. Portfolio weights are shown to be directly related to well‐regulated markets with high standards of corporate governance and disclosure, and firms seeking cost‐effective finance from SSA stock markets are at a distinct disadvantage compared with those in Northern Africa, South Africa and, in particular, London and Paris.     

Systemic Risks Spillovers and Interdependence among Stock Markets: International Evidence with Covar‐Copulas

Empirical studies have provided ample evidence on the potential benefits of international diversification with portfolios that consist of both domestic and foreign assets. This coupled with sudden and periodic crashes in global and developed equity markets have stimulated the interest of investors to diversify across markets that have the potential to provide decorrelation with global markets during turbulent periods. At the same time, international diversification may intensify cross‐border listing of stocks with its antecedent implication of shocks transmission. The above have engendered renewed interest among researchers to explore the dependence levels and spillover effects of shocks among emerging and developed equity markets. This paper examines tail dependence structure and (extreme) systemic risks spillover effects among international equity markets using advanced econometric techniques that underpin the modelling of asset returns. We find evidence of low positive significant dependencies between all African markets and their developed counterparts, except for Egypt. Although no evidence of spillover effects to the markets in Africa was found, both unidirectional and bi‐directional causality between some African and developed equity markets is found, albeit with differences. We are unable to ascribe the dynamics in the causality structure to level of market integration. It is inferred that the degree of individual local markets interdependence with developed counterparts may reflect the relative size, liquidity and degree of foreign investors' participation.     

Unemployment in Africa: A Fractional Integration Approach

This paper estimates long‐memory models to analyse the stochastic behaviour of unemployment in eleven African countries (Botswana, Ethiopia, Ghana, Kenya, Malawi, Mauritius, Nigeria, Senegal, South Africa, Tanzania and Zambia) from the 1960s until 2010. The empirical results provide very strong evidence of lack of mean reversion in all series under examination. This suggests that hysteresis models are the most relevant for the African experience (not surprisingly, given the rigidities in their labour markets). Therefore in such countries shocks hitting the unemployment series will have permanent effects, and policy makers should take appropriate action to reverse the effects of negative shocks.     

Global Risk Factors and South African Equity Indices

South African equity is frequently portrayed as a market requiring a high degree of local expertise – to appropriately understand its many idiosyncratic features – as well as intimate knowledge of its unique drivers – to prudently invest in the same. This claim is evidenced by the amount of research and effort devoted to understanding South African‐specific economics, interest rates and risks. The aim of this research is to debunk this perception with a simple yet robust and highly replicable statistical model (best‐subsets regression) for the majority of the traded South African equity indices. We show how the South African equity market is mostly a one‐way mirror of a confluence of international factors, all arguable largely unrelated to South Africa. We discuss why these models are currently less useful than their longer‐term predictive averages and note the current relevance of including implied volatility and interest rates as predictors.     

Equity,Bonds, Institutional Debt and Economic Growth: Evidence from South Africa

We examine the finance‐growth nexus in South Africa accounting for the role of bond markets, stock markets, and bank and non‐bank financial intermediaries using a vector autoregressive technique. Extant empirical literature has largely accounted for only banks and stock markets, ignoring bond market and non‐bank financial intermediaries. We find that bond market development affects economic growth in South Africa, and no similar effect is observed for the bank and non‐bank financial intermediaries and the stock market. Our finding shows that examination of individual elements of the financial system is important in understanding the unique effect of each on growth. The observation that the bond market rather than stock market, bank and non‐bank institutions promote economic growth in South Africa induces an intriguing question as to what unique roles bond markets play that the intermediaries and equity market are unable to play.     

Volatility Spillovers between the Equity Market and Foreign Exchange Market in South Africa in the 1995‐2010 Period

This paper attempts to assess the extent of volatility spillovers between the equity market and the foreign exchange market in South Africa. Multistep family of the General Autoregressive Conditional Heteroskedasticity models are used for this end, whereby volatility shocks obtained from the mean equation estimation in each market are included in the conditional volatility of the other market, respectively. The paper selects the appropriate volatility models for each market following criteria such as covariance stationarity, persistence in variance and leverage effects. The finding of the paper indicates that there is a unidirectional relationship in terms of volatility spillovers from the equity market to the foreign exchange market. The paper supports the view that the extent of foreign participation in the South African equity market possibly contributes to this phenomenon.     

The implications for suppliers of the spread of supermarkets in southern Africa

ABSTRACT

The growth of supermarkets in southern Africa opens local and regional markets to suppliers through participation in supermarket supply chains. Supermarkets in the region provide an important route to market for processed foods and household consumable products. Through a regional value chain lens, this article provides an assessment of the implications of the growth of supermarkets for the participation of suppliers in Botswana, South Africa, Zambia and Zimbabwe. The research finds that, while supermarkets provide important opportunities for suppliers, they also exert considerable buyer power that limits supplier development and upgrading. High private standards, onerous requirements and costly trading terms negatively affect supplier participation in value chains. Long-term investments are required to build the capabilities of suppliers to meet supermarket requirements in terms of quality, consistency, volume and cost-competitiveness.     

An Index‐Based Model for Determining the Investment Benchmark of Renewable Energy Projects in South Africa

In a globalised world, financial markets observe the optimal level of asset allocation and returns based on risk inherent in the economies. Whether public or private investors, they need to have an optimal return on their investment given the finite resources. In relatively new sectors like grid‐connected renewable energy, many investors face difficulty in assessing proper return, making them more averse to financing such projects, affecting transborder project development opportunities. In developing countries like South Africa, which has tremendous potential for renewable energy projects, an arbitrary choice of the required rate of return for project evaluations can negatively affect funding decisions. This paper explores an index‐based model to make fair estimates of the required equity benchmark internal rate of return (IRR) using financial markets observation for renewable energy projects in South Africa. The index‐based model is parsimonious and captures common macroeconomic factors. More specifically, it provides a simple and effective mechanism to calculate IRR for renewable energy projects given different gestation periods.     

REGIONAL INTEGRATION OF EQUITY MARKETS IN SUB-SAHARAN AFRICA

Equity markets in developing and emerging economies have grown in number and importance as a result of financial market globalisation. However, their role in economic growth and development is enhanced if nascent markets are integrated with well‐established ones. Market integration, measured by the transmission of returns volatility, is identified across a sample of SSA countries, using a unique dataset. Evidence for potential integration between financial markets in Sub‐Saharan Africa (SSA) is found. Spillovers are found across markets, some unidirectional and others bi‐directional. However, continued illiquidity and incomplete institutions indicate that an integrated financial community remains premature, and considerable regulatory reform and harmonisation will be necessary for this to succeed.     

THE CHANGING EFFICIENCY OF AFRICAN STOCK MARKETS

This paper classifies formal African stock markets into four categories and discuses the principal characteristics of the seven markets covered in this study: South Africa, Egypt, Morocco, Nigeria, Zimbabwe, Mauritius and Kenya. Using a GARCH approach with time‐varying parameters, a test of evolving efficiency (TEE) is implemented for periods starting in the early 1990s and ending in June 2001. This test detects changes in weak form efficiency through time. The TEE finds that the Johannesburg stock market is weak form efficient throughout the period, and three stock markets become weak form efficient towards the end of the period: Egypt and Morocco from 1999 and Nigeria from early 2001. These contrast with the Kenya and Zimbabwe stock markets which show no tendency towards weak form efficiency and the Mauritius market which displays a slow tendency to eliminate inefficiency. The paper relates weak form efficiency to stock market turnover, capitalisation and institutional characteristics of markets.     

Global Financial Crises and Time‐Varying Volatility Comovement in World Equity Markets

This paper studies volatility comovement in world equity markets between 1994 and 2008. Global volatility factors are extracted from a panel of monthly volatility proxies relating to 25 developed and 20 emerging stock markets. A dynamic factor model (FM) is estimated using two‐year rolling‐window regressions. The FM's time‐varying variance shares of global factors map variations in volatility comovement over time and across countries. The results indicate that global volatility linkages are significantly stronger during financial crisis periods in Asia (1997‐1998), Brazil (1999), Russia (1998) and the United States (2000, 2007‐2008). Emerging markets are weakly synchronised with world volatility in comparison with developed markets. In particular, emerging market comovement is significantly lower than developed market comovement during the Asian and US sub‐prime crises. This suggests a degree of decoupling of emerging markets from the global drivers of volatility during these periods.     

FINANCIAL INTEGRATION IN THE COMMON MONETARY AREA*

This paper assesses the level of financial integration within the CMA countries, using the concept of the uncovered interest rate parity. The impact of foreign interest rates on the domestic interest rates, in this case the South African rates on the rates of the LNS countries, is analysed. For comparative purposes, other neighbouring countries such as Botswana, Zambia and Zimbabwe are brought into the analysis. The results from the uncovered interest rate parity approach show that Lesotho, Namibia and Swaziland can be considered to be well financially integrated with the South African market, while for Botswana, Zambia and Zimbabwe it shows the contrary.