LONG MEMORY IN SOUTHERN AFRICAN STOCK MARKETS

The paper examines long memory in equity returns and volatility for stock markets in Botswana, South Africa and Zimbabwe using the ARFIMA‐FIGARCH model in order to assess the efficiency of these markets in processing information. The findings are diverse. Significant long memory is demonstrated in the equity returns of Botswana; while, in South Africa this result is not statistically different from zero. For Zimbabwe returns are characterised by an anti‐persistent process. Furthermore, all the markets investigated provide evidence of long memory in volatility with the exception of Botswana where there is no evidence of volatility persistence and hence the return from taking risk in this market cannot be predicted on the basis of previous values.     

Interaction between Foreign and Domestic Investors in the Korean Stock and Futures Markets*

The present paper analyzes the behavioral relations of major investor groups in the stabilized Korean stock and futures markets after the 1997 Asian financial crisis. Investor groups cannot be classified as positive or negative feedback traders on market returns when both stock and futures markets are considered, which is inconsistent with the results in Ghysels and Seon (2005). Foreign investors and domestic institutions tend to take opposite positions in both markets. The impact of foreign investors on the basis change is significantly negative in the futures market, whereas domestic institutions have a negative relation in the stock market. This supports the view that selling activity of foreign investors in the futures market pulls the futures price down compared with the index value and, consequently, induces the reverse cash‐and‐carry trade of domestic institutions. This relationship, which negatively influenced the Korean economy during the crisis, as shown in Ghysels and Seon (2005), still exists in the Korean financial markets.     

Asymmetric Mispricing and Regime‐dependent Dynamics in Futures and Options Markets

We examine regime‐dependent price dynamics and mispricing adjustments within the KOSPI200 spot, futures and options markets through an analysis of data from January 2000 to December 2014. Investors exploit mispricing between derivatives and spot markets only if mispricing is sufficiently large. The futures traders take long, rather than short, positions to adjust for mispricing. Mispricing between spot and options markets is adjusted by trading options and not by trading spots. We find the bidirectional information flows between spot and futures markets when the futures‐implied index is sufficiently larger than the spot index. In contrast, no significant lead–lag relationship between spot and options markets exists. Significant asymmetric transaction costs exist in the spot market and this asymmetry has decreased over time.     

The futures premium and rice market efficiency in prewar Japan

This article studies the interrelation between spot and futures prices in the two major rice markets in prewar Japan from the perspective of market efficiency. Applying a non‐Bayesian time‐varying model approach to the fundamental equation for spot returns and the futures premium, we detect when efficiency reductions in the two major rice markets occurred. We also examine how government interventions affected the rice markets in Japan, which colonized Taiwan and Korea before the Second World War, and argue that the function of rice futures markets crucially depended on the differences in the structure of rice spot markets. Initially the increased volume of imported rice of a different variety from domestic rice disrupted the rice futures markets. Then, government intervention in the rice futures markets failed to improve the disruption. Changes in colonial rice cropping successfully mitigated the disruption, and colonial rice was promoted in order to unify the different varieties of inland and colonial rice.     

制造业企业开展套期保值业务的现状及对策分析

在经济全球化背景下,制造业企业在原材料采购和产品销售方面,面临着巨大的价格波动风险。制造业企业如何充分利用期货市场开展套期保值业务来规避价格风险,是企业必须面对的一个重要课题。文章通过对上市的制造业企业展开抽样调查,了解我国上市的制造业企业开展套期保值业务的现状及存在的问题,据此提出强化期货知识培训、丰富期货品种、加强期货市场创新、降低交易成本等方式,提高企业参与套保的积极性,发挥期货市场为实体经济发展服务的广度和深度。     

Is the leadership of the Brent-WTI threatened by China’s new crude oil futures market?

The recent listing of a new crude oil futures contract on the Shanghai International Energy Exchange (INE) has reopened the debate over whether crude oil produced in different countries or locations constitutes a unified world oil market. The aim of this paper is to study the information flows among Brent, West Texas Intermediate (WTI) and the new Medium Sour Crude Oil (SC) futures contract listed on INE futures markets to assess whether the trading of this new futures contract has altered the dominant role of the most traded oil benchmarks in the world. A multiple regression model identifies the Brent futures market as the most influential market in the oil price discovery process, while WTI appears to be the most sensitive. Furthermore, we have observed that SC does not influence any market and it is only sensitive to Brent news, even though WTI is the most heavily traded futures contract. Therefore, the launch of the SC futures contract has not yet altered the dominant role of Brent over WTI.     

中国黄金与行业股票市场的动态相关性研究——基于DCC-GARCH模型

利用2015—2023年的黄金AU9999与十个上证行业指数日收益率数据,建立DCC-GARCH模型来分析动态相关性并计算最优投资权重和最优对冲比率。实证结果发现,黄金与行业股票市场存在动态相关性;黄金市场对十个行业的避险和对冲作用有差异,市场极端情况下黄金与行业指数均高度负相关,熊市期间黄金与原材料以外的九个行业具有不同程度负相关,黄金与工业、可选消费等七个行业长期具有负相关性;黄金平均权重在主要消费行业占比最高,原材料行业的对冲比率最高。最后提出资产组合纳入黄金、持续评估和区分行业进行风险管理的建议。     

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.     

Major International Information Flows Across the Safex Wheat Market

We study information flows across four wheat futures markets on four continents: Zhengzhou Commodity Exchange (ZCE), South African Futures Exchange (SAFEX), Euronext/Liffe and Kansas City Board of Trade (KCBT). Three approaches for studying information flows among non‐synchronous markets are applied: cointegration techniques, vector autoregressive analysis and multiple regression proposed. Although comparable underlying assets are traded in the four markets, our results indicate that no long‐run links exist among them. ZCE is by far the most endogenous market, and Euronext/Liffe is the most exogenous one. Finally, the model points to KCBT as the most influential and sensitive wheat market. Our findings indicate that the relative openness of the SAFEX wheat market supports information flows and linkages from KCBT and Euronext/Liffe. Therefore, our results suggest that more supportive policies to incentivise higher wheat production in South Africa are required to mitigate the impact of price shocks emanating from the global wheat markets.     

Evaluating the performance of futures hedging using multivariate realized volatility

This paper investigates the performance of a conditional hedging model using the realized covariance measure (RCM) with noisy high-frequency data. We employ a bivariate realized exponential GARCH (BREG) model with some RCMs to estimate conditional optimal hedge ratios in the Japanese stock and futures markets. The bivariate Student’s t-distribution as well as the bivariate normal distribution are used for the return distribution. The out-of-sample results show that the BREG model outperforms the DCC-EGARCH model and the OLS approach using daily returns for a short hedge in the period without unpredictably large fluctuations in returns such as the Lehman aftermath and the economic impact of the Great East Japan Earthquake. The BREG model with a Student’s t-distribution is likely to be superior to that with a normal distribution. The use of RCMs with methods reducing bias induced by microstructure noise and non-synchronous trading improves the performance. We also find that the joint model of returns and RCM such as the BREG model yields better performance for a short hedge than a model in which RCM is included as an exogenous variable.     

Multi‐Market Competition,R&D,and Welfare in Oligopoly

We investigate a multi‐market Cournot model with strategic process research and development (R&D) investments wherein a multi‐market firm meets new competitors that enter one of the markets. We show that entry can enhance the total R&D expenditures of the multi‐market firm. Moreover, the incumbent's profit nonmonotonically changes as the number of entrants increases. Depending on the fixed entry costs and R&D technologies, both insufficient and excess entry can appear. Our results imply that diversification of their products can be a useful strategy for firms.     

中国燃料油期货的套期保值比率与绩效研究

文章首次对自2004年上市以来的SHFE燃料油期货的多期限合约的套期保值比率与绩效进行研究.给出了一个寻求多期限合约的最优套期保值比率的新方法.为克服数据量较小的困难,文章运用新技术--协整序列分解模型进行研究,采用更一般的数据选取方法,发现不同的燃料油期、现货价格序列(日、周和二周)均存在显著的协整关系,在此基础上得到任意期限的最优套期保值比率.结果发现:中国SHFE燃料油期货市场发展良好,其套期保值效果比SHFE铜期货差、比SHFE天然橡胶要好,有望成为世界燃料油定价中心之一.     

期货套保基金服务中国农业的模式探讨

期货市场在规避农产品市场价格风险方面具有重要作用。文章从中国农业的实际出发,分析现有农产品期货服务农业模式存在的局限和不足,提出了农产品期货套保基金新模式。重点探讨了套保基金设立的方式、运作流程,分析其有利因素和制约因素,并提出了相应对策。     

IMPLEMENTING A ROBUST RISK MODEL FOR SOUTH AFRICAN EQUITY MARKETS: A PEAK‐OVER‐THRESHOLD APPROACH

This paper implements a market risk model for the South African equity market using daily returns of the Johannesburg Stock Exchange All Share Index. Firstly, we separate positive returns from negative returns and model them using the peak‐over‐threshold (POT) method in order to compute the downside as well as upside risk measures separately. We thereafter compute the value‐at‐risk (VAR) and the expected shortfall (ES) estimates corresponding to upside and downside risks. We bootstrap these risk measures and compute their standard errors and confidence intervals (CIs) to see whether they fall inside these CIs. Secondly, we compute out‐sample forecasts of VAR estimates using the POT method and the generalised autogressive conditional heteroscedasticity process. Three backtesting methodologies are employed: the unconditional and conditional coverage tests and the counting of number of exceptions according to Basel II green zone. We find that all our VAR and ES estimates are well inside their CIs and that at lower quantiles, parametric ES estimates are equal to POT‐ES estimates, although the difference between the two is more pronounced at higher quantiles (99% or higher). Furthermore, our market risk model falls into the Basel II green zone, as it produces fewer exceptions in out‐sample space.     

中国商品期货市场有效性的方差比率检验

随机游动模型的方差比率检验方法可以被用于检验中国商品期货市场的有效性程度。对1999-2004年间六个商品期货品种的收盘价和结算价的分阶段（1999-2001和2002-2004）检验结果表明：铜期货市场在整个样本期间都基本上达到了弱式有效,而铝、天胶、大豆／豆一、豆粕等品种在2002-2004年间的有效性却表现出一定程度的下降。但是,在2002-2004年间,小麦期货市场的有效性得到了一定程度的提高。这些实证结果表明监管当局应该汲取以往期货市场大幅震荡的教训,有针对性地继续努力改进并提高期货市场的有效性水平。     

Dynamic Comovements Between Housing and Oil Markets in the US over 1859 to 2013: a Note

In this study, we examine the dynamic comovements between housing and oil market returns in the United States over the period 1859–2013, while controlling for real gross domestic product growth, inflation, interest rates, and real stock, gold and silver returns that are known to affect both these markets. As such, we provide a bird’s-eye view on the interdependencies between these two markets from a historical perspective. The results of our empirical analysis reveal that comovements between housing and oil market returns are consistently negative over time, apart from several recessions the U.S. economy experienced in the 19th century, wherein correlations were positive.     

THE PREDICTABILITY OF STOCK MARKET RETURNS IN SOUTH AFRICA: PARAMETRIC VS. NON‐PARAMETRIC METHODS

This paper compares the forecasting performance of a sub‐class of univariate parametric and non‐parametric models in predicting stock market returns in South Africa. To account for conditional heteroskedasticity in stock returns data, the non‐parametric model is generated by the conditional heteroskedastic non‐linear autoregressive (NAR) model, while the parametric model is produced by the generalised autoregressive conditional heteroskedastic in mean (GARCH‐M) model. The results of the paper show that the NAR as a non‐parametric model performs better than the GARCH‐M model in short‐term forecasting horizon, and this indicates the importance of a distribution‐free model in predicting stock returns in South Africa.     

上海期货交易所期货价格有效性的实证检验

本文在风险溢价理论框架下,借助协整分析法对上海期货交易所铜、铝期货价格的有效性进行了规范的实证检验。结果显示:距最后交易日前7、14、28天的铝期货市场支持风险溢价假说,在风险溢价条件下具有长期效率;而距最后交易日前7、14天的铜期货市场亦在风险溢价条件下呈有效状态,当距最后交易日28天时,铜期货市场不支持风险溢价假说,但并不能就此得出此时的铜期货市场没有效率的结论。     

我国黄金期货市场价格发现与套期保值功能——基于ARDL-ECM模型

文章收集了2011-2013年的黄金期货和现货价格数据,采用ARDL-ECM模型分析我国黄金期货价格和现货价格之间的长期均衡和短期动态关系。研究表明:我国黄金期货市场具有完美且有效的套期保值功能,但尚不具有价格发现功能,其运行效率有待提高。     

流动性风险和市场风险相依性下期货动态风险研究

文章从期货品种的流动性和合约的流动性视角出发,采用了一种新的综合性流动性指标L’,考虑流动性风险与市场风险的相关性,将流动性风险纳入GARCH—VaR模型中,并应用于交易保证金的动态设置。采用了豆油期货数据,分剐实证了不考虑流动性风险、考虑流动性指标L（Demsetz模型）和考虑流动性指标L＇（新的综合性流动性指标）的动态期货交易保证金模型,结果表明,考虑流动性指标L＇的模型不仅在覆盖风险上优于另两种模型,也在降低保证金收取水平上占优势,是相对合理全面的动态交易保证金模型。