发展我国金融期货市场的思考

发展我国金融期货市场的思考傅国华“金融业未来的命运，关键在于变革和创新”，金融期货是金融创新的必然产物。随着我国金融体制改革和市场经济的发展，使我们所面临的自然风险、汇率风险、利率风险和管理风险急剧增长，这极大地威胁着商品生产者和经营者的利益。传统的...     

全球商品期货市场的发展趋势展望

本文从商品期货市场发展的现状出发,阐述了中国商品期货市场所取得的成就以及尚处于初级阶段的现实,并深入剖析当前宏观经济形势对大宗商品期货市场的复杂影响,展望了未来国际及国内商品期货市场的发展。     

关于发展我国金融期货市场的可行性研究

金融期货的快速发展不仅是世界潮流,更是促进金融市场发展和维护经济安全的必然要求,有着巨大的市场需求,我国金融期货的建设具有极其重要的意义。我国期货市场经过多年规范和发展,风险控制能力不断增强,功能逐步得到发挥,已经具备了推出金融期货的条件。因此,对我国金融期货市场进行可行性研究更具有紧迫性和现实意义。     

上海期货市场流动性研究

一般地讲,一个流动性越好的市场,配置资源的效率就越高.对于期货市场而言,流动性是交易制度设计和合约设计的重要目标之一,也是考察市场效率和功能发挥的重要指标.期货市场流动性可以表述为:期货市场参与者迅速进行大量期货合约交易,并且不会导致合约价格发生显著波动.一个具有较好流动性的期货市场,应具有较低的交易成本和较快的指令执行速度,并且能迅速平复大额交易对期货合约价格的冲击.     

如何投资当前和明年期货市场

在经济变局中，物价、汇率、利率等因素必然会有波动，这种波动影响到广大民众的个人财产。在这种情况下，投资者更应该善于利用期货市场这一投资工具理财。     

商品期货市场尾部相关性初探

本文对上海期货交易所与伦敦金属交易所铜期货价格的尾部分布与相关特性作了研究,发现:两交易所的日间收益率数据的样本峰度比正态分布要高,尾部呈现Frechet分布(或厚尾)特征,而且伦敦金交所的厚尾特征比期交所的更明显;两序列的右尾有限相关度显著,但渐进不相关.而它们的左尾不仅有限相关度显著,也表现出很强的渐进相关度.     

关于我国推出商品期货投资基金的研究

文章将就商品期货投资基金进行定义和介绍,并通过分析商品纳入投资组合的可行性以及投资组合的效果,说明商品期货投资基金的优势和意义。然后结合我国相关市场的基本情况,分析商品期货投资基金对于我国市场的实际意义,最后对我国现有的市场基础进行分析,得出关于我国推出商品期货投资基金的结论及建议。     

关于我国推出商品期货投资基金的研究

文章将就商品期货投资基金进行定义和介绍,并通过分析商品纳入投资组合的可行性以及投资组合的效果,说明商品期货投资基金的优势和意义.然后结合我国相关市场的基本情况,分析商品期货投资基金对于我国市场的实际意义,最后对我国现有的市场基础进行分析,得出关于我国推出商品期货投资基金的结论及建议     

An empirical study on the regulated Chinese agricultural commodity futures market based on skew Ornstein-Uhlenbeck model

This paper describes the regulated agricultural commodity futures market of China, focusing on six actively traded futures: corn, strong gluten wheat, No. 1 soybean, soymeal, cotton, and white sugar. A novel skew Ornstein-Uhlenbeck model is employed to characterize price dynamics with government controls. The empirical analysis reveals significant skew phenomena in these six futures and indicates that the price dynamics are influenced by state policy. The observed skew phenomena are most notable in grain futures, with relatively weaker, but statistically significant, evidence of skew phenomena in oilseed and soft futures markets. In addition, generalized quasi-likelihood ratio tests show that the skew Ornstein-Uhlenbeck model is superior to the Ornstein-Uhlenbeck model.     

Regulatory reform and market efficiency: The case of Indian agricultural commodity futures markets

We present the results of two efficiency measures that include intraday return predictability measure based on order imbalance and measures of several variance ratio tests on intraday subsamples of nine major Indian agricultural commodity futures (castor seed, cotton oil cake, rape mustard seed, soybean, refined soya oil, crude palm oil, jeera, chana, and turmeric) quoted in the National Commodity and Derivatives Exchange (NCDEX). We perform the efficiency measures on five subsamples with holding periods of 5, 10, 15, 30, and 60 min over two sample periods following the announcement of the merger between the Forward Market Commission (FMC) and Securities Exchange Board of India (SEBI). We compare results of tests of weak-form market efficiency of futures markets between two periods (pre-merger period and post-merger period). Our results confirm that Indian agricultural commodity futures markets continue to remain inefficient in the short-term during both pre-merger and post-merger periods. Based on these findings, it is likely that profitable trading strategies in the short intraday intervals will be available for traders and market participants during post-merger period. Thus, regulators must focus more on policy initiative so as to enhance market quality in order to address such inefficiencies in Indian commodity futures markets.     

Including commodity futures in asset allocation in China

In this paper, we investigate the role of eight commodity futures in asset allocation in China during the period January 2004–December 2015. The Chinese commodities and stocks are moderately correlated. We use quantile regressions based on a value-at-risk model to examine the relation between these two markets. We find no risk spillovers between the markets, suggesting that stocks and commodities in China are exposed to different risks. Using different asset allocation strategies, we show that including soymeal and soybeans in the Chinese stock index can offer some diversification gains. However, other Chinese commodities may not be useful for portfolio diversification.     

Adaptive market efficiency of agricultural commodity futures contracts

In this paper we investigate the adaptive market efficiency of the agricultural commodity futures market, using a sample of eight futures contracts. Using a battery of nonlinear tests, we uncover the nonlinear serial dependence in the returns series. We run the Hinich portmanteau bicorrelation test to uncover the moments in which the nonlinear serial dependence, and therefore adaptive market efficiency, occurs for our sample.     

The effectiveness of interest-rate futures contracts for hedging Japanese bonds of different credit quality and duration

This study investigates the effectiveness of the Tokyo Stock Exchange (TSE)-traded Japanese 10-year JGB futures contract to hedge portfolios of Japanese bonds of differing maturity and credit quality. The bond portfolios examined are Government, AAA-, and AA-rated Eurobonds with maturities of 2, 3, 5, 7, 10, and 20 years. Consistent with the recent literature, the study employs univariate methods for calculating hedge ratios based on levels, first differences, and percentage change of each series. Out-of-sample forecasting is used to determine the effectiveness of the calculated hedge ratios for each of the bond portfolios and to determine which approach to calculating hedge ratios is the most effective. The results show that this particular futures contract does provide a good hedge, particularly for those bond terms closest to the 10-year term of the contract. There is some evidence, although not strong, that JGBs are better hedged than AAA and AA bonds. Investors should take some caution when using this futures contract to hedge bond portfolios of different maturities and credit ratings.     

Factor pricing in commodity futures and the role of liquidity

This paper empirically investigates the pricing factors and their associated risk premiums of commodity futures. Existing pricing factors in equity and bond markets, including market premium and term structure, are tested in commodity futures markets. Hedging pressure in commodity futures markets and momentum effects is also considered. This study combines these factors to discuss their importance in explaining commodity future returns, while the literature has studied these factors separately. One of the important pricing factors in equity and bond markets is liquidity, but its role as a pricing factor in commodity futures markets has not yet been studied. To our knowledge, this research is the first to study liquidity as a pricing factor in commodity futures. The risk premiums of two momentum factors and speculators’ hedging pressure range from 2% to 3% per month and are greater than the risk premiums of roll yield (0.8%) and liquidity (0.5%). The result of a significant liquidity premium suggests that liquidity is priced in commodity futures.     

The effectiveness of incorporating higher moments in portfolio strategies: evidence from the Chinese commodity futures markets

This paper examines portfolio strategies that incorporate individual and systematic higher-order moments, within a stochastic optimization framework with uncertain mean and covariance. Using weekly, daily, and 30-minute interval data on Chinese commodity futures, we show that incorporating higher moments into portfolio strategies generally leads to better performance. The systematic fourth-order moment, among all systematic moments considered, can lead to the most robust, and a relatively large, improvement in investment performance, while the contribution of individual moments to the improved performance depends on the data horizon. We also find that adding higher moments brings superior performance in more cases for 30-minute-interval data than for other low-frequency data, suggesting that our strategy most likely performs best in 30-minute-rebalancing investments.     

Stock index futures hedging in the emerging Malaysian market

The paper investigates hedging effectiveness of dynamic and constant models in the emerging market of Malaysia where trading information is not readily available and market liquidity is lower compared to the developed equity markets. Using daily data from December 1995 to April 2001 and bivariate GARCH(1,1) and TGARCH models, the paper uses differing variance–covariance structures to obtain hedging ratios. Performance of models is compared in terms of variance reduction and expected utility levels for the full sample period as well as the three sub-periods which encompass the Asian financial crisis and introduction of new capital control measures in Malaysia. Findings show that rankings of the hedging models change for the in-sample period depending on evaluation criteria used. TGARCH based models provide better hedging performance but only in the period of higher information asymmetry following the imposition of capital controls in Malaysia. Overall, despite the structural breaks caused by the Asian financial crisis and new capital control regulations, out of sample hedging performance of dynamic GARCH models in the Malaysian emerging market is as good as the one reported for the highly developed markets in the previous literature. The findings suggest that changes in the composition of market agents caused by large scale retreat of foreign investors following the imposition of capital control regulations do not seem to have any material impact on the volatility characteristics of the Malaysian emerging market.     

Return and volatility co-movement in commodity futures markets: the effects of liquidity risk

Commodity markets are a widely researched topic in the field of finance. In this paper, we investigate the co-movement of return and volatility measures in different commodity futures markets and how these measures are affected by liquidity risk. First, we find that commodity returns display co-movement and that liquidity risk plays a key role in shaping asset return patterns. Moreover, we show that the volatilities of commodity returns co-move, and we demonstrate the role of liquidity risk in this joint pattern. We also find that the commodity markets we investigated share a common volatility factor that determines their joint volatility co-movement. Because liquidity risk affects both commodity returns and volatility shocks, it might be interpreted as the common causal factor driving both measures simultaneously. Therefore, we affirm the view that liquidity shocks are firmly related to two residual risks originating from both market return and market volatility. Finally, we also show that liquidity spillovers can significantly drive cross-sectional correlation dynamics.