中国农产品期货市场国际影响力的实证分析

以大豆、玉米和棉花期货作为研究对象,实证分析了我国农产品期货市场的国际影响力。结果显示,2008年以来我国农产品期货市场的国际影响力短期内显著增强,但是美国期货市场在农产品定价权上依然有主导优势,对信息的反应也更为有效。国内相关农产品生产供给不足所导致的供需矛盾突出、进口被动大幅增加是我国农产品期货市场影响力提升的一个重要因素。     

Forecasting Changes in Copper Futures Volatility with GARCH Models Using an Iterated Algorithm

There is a gap in the literature regarding the out-of-sample forecasting ability of GARCH-type models applied to derivatives. A practitioner-oriented method (iterated cumulative sum of squares) is applied to detecting breakpoints in the variance of two copper futures series. Short-, intermediate-, and long-term out-of-sample forecasts of copper future series are compared to forecasts from a benchmark random walk model for each series. Not only do the GARCH-type models dominate the random walk model, but the relative improvement is fairly consistent across series, forecast horizon, and GARCH-type model. The evidence makes clear that, with few exceptions, the forecast improvement of the GARCH-type models over the RW model lies somewhere between 20–30%. It is particularly true that for the long-term close to close forecasts, there is great coherence among the forecasts. These all fall within a fairly narrow range.     

Information Flows Between the U.S. and China Commodity Futures Trading

Using a bivariate GARCH model, we examine patterns of information flows for three commodity futures traded in both the developed U.S. market and the emerging China market (copper, soybeans and wheat). For copper and soybeans, the two commodities that are subject to less government regulation and fewer import restrictions in China, we find that the U.S. futures market plays a dominant role in transmitting information to the Chinese market, a result that confirms the importance of the U.S. role as a leader in the global financial market. For the heavily regulated and subsidized wheat commodity, our empirical results indicate that the U.S.-China futures markets are highly segmented in pricing, although information transmission via volatility spillover across markets is present.     

Optimal hedge ratio and hedging effectiveness of stock index futures: evidence from India

In a free capital mobile world with increased volatility, the need for an optimal hedge ratio and its effectiveness is warranted to design a better hedging strategy with future contracts. This study analyses four competing time series econometric models with daily data on NSE Stock Index Futures and S&P CNX Nifty Index. The effectiveness of the optimal hedge ratios is examined through the mean returns and the average variance reduction between the hedged and the unhedged positions for 1-, 5-, 10- and 20-day horizons. The results clearly show that the time-varying hedge ratio derived from the multivariate GARCH model has higher mean return and higher average variance reduction across hedged and unhedged positions. Even though not outperforming the GARCH model, the simple OLS-based strategy performs well at shorter time horizons. The potential use of this multivariate GARCH model cannot be sublined because of its estimation complexities. However, from a cost of computation point of view, one can equally consider the simple OLS strategy that performs well at the shorter time horizons.     

Futures Trading Activity and Commodity Cash Price Volatility

Abstract:   This paper examines the lead‐lag relationship between futures trading activity (volume and open interest) and cash price volatility for major agricultural commodities. Granger causality tests and generalized forecast error variance decompositions show that an unexpected increase in futures trading volume unidirectionally causes an increase in cash price volatility for most commodities. Likewise, there is a weak causal feedback between open interest and cash price volatility. These findings are generally consistent with the destabilizing effect of futures trading on agricultural commodity markets.     

Empirical investigation of changes in policy uncertainty on stock returns—Evidence from China’s market

This study finds evidence that a rise in economic policy uncertainty (EPU) leads to a decline in stock returns in Chinese market; however, a positive coefficient was observed in the lagged EPU as stock prices rebound. This phenomenon also holds true for a rise in uncertainty innovations in fiscal policy, monetary policy, trade policy and global policy. The evidence leads to conclude that policy uncertainty premiums should be priced into China’s stock prices. An escalation of U.S. policy uncertainty has a significantly harmful effect on Chinese stocks regardless of whether firms are stated own or listed on U.S. market.     

VaR方法在房地产收益波动性度量中的应用

本文探讨了VaR方法在房地产收益波动性度量中的应用,并对上海二手房指数时间序列的收益率风险进行了实证研究,结果表明此方法对于指数收益率风险的度量具有较强的适用性。     

宏观经济不确定性与银行资产组合行为:1995～2009

本文研究了宏观经济不确定性在银行资产配置中所起的作用。论文首先构建了一个投资组合模型,论证了宏观经济不确定性与银行资产组合行为的理论关系。然后对我国银行业从1995年至2009年的两者关系作了实证分析,研究结果表明,宏观经济不确定性在银行的投资决策中有着显著影响,当宏观经济不确定性显著增加时,银行资产配置中的贷款份额下降,贷款/资产比率截面分布方差减小,出现羊群效应。     

Asymmetric multifractal features of the price–volume correlation in China’s gold futures market based on MF-ADCCA

In recent years, fractal theory has become a recognized research direction for explaining various complex phenomena that are difficult to constrain in the conventional efficient market hypothesis for financial markets. Moreover, because the gold futures prices are crucial to the futures market, research on the relationship between quantity and price is important for understanding market fluctuations. Therefore, this paper conducts an empirical analysis of the multifractal features and asymmetry in the price–volume correlation of China’s gold futures market based on the multifractal asymmetric detrended cross-correlation analysis method¹ . Results show that the cross-correlation between market price and volume is asymmetric and multifractal and that multifractal features are stronger when the price increases compared with when it declines. Moreover, the multifractal features vary over time. These findings indicate that the risk of China’s gold futures market will change with the price trend over time.     

Investor Trading Behavior and Sentiment in Futures Markets

This study investigates the effects of investor trading behavior and investor sentiment on futures market return. We find that the spot investor trading behavior, futures investor trading behavior, spot market sentiment, and futures market sentiment all have positive effects on daily futures returns in Chinese financial market. More importantly, we show that the effect of (spot) futures investor trading behavior has better explanatory power than (spot) futures market sentiment on futures returns. Further supporting our results, high investor trading behavior and high investor sentiment strengthen the positive relation between sentiment-returns and behavior-returns.     

The impact of energy-exporting countries’ EPUs on China’s energy futures investors: Risk preference,investment position and investment horizon

This study brings some new insights into EPU risk management. By categorizing China’s energy futures (CEF) investors by risk preference, investment position and investment horizon, we identify how EPU in four energy-exporting countries affects CEF investors. The Russian EPU mainly produces influence on short-run investors and risk-seeking investors. The Australian EPU affects risk-seeking investors heavily, while the Brazilian EPU acts on risk-seeking investors with short positions. In terms of China’s coking coal futures, changes in Russian EPU generate the weakest impact on various types of investors, while the US EPU affects medium-run risk-averse and long-run investors. The Australian EPU’s impact on investor types covers a wide range, while the Brazilian EPU affects short-run risk-averse and long-run investors. Moreover, for medium-run CEF investors, energy-exporting countries’ EPU risk characteristics is most dynamic. Changes in the EPU risk impact type mainly occurred during the US-China trade war and the outbreak of COVID-19.     

基于CDM机制的国际碳排放权贸易价格波动性研究

运用规范分析和基于GARCH模型族的实证分析发现:清洁发展机制(CDM)下国际碳排放权核证减排单位(CERs)市场的价格波动是政治博弈、国际经济形势等多重因素共同冲击的结果。其价格波动呈现时变性、聚集性和持续性特征,市场\"杠杆效应\"明显。我国作为全球CDM项目的最大供给方,为了掌握定价权,必须寻求CERs市场价格波动规律、积极参与国际气候环境条款的谈判、选择恰当贸易时机和建立CDM项目风险管理体系。     

中国黄金期货价格影响因素研究

采用线性回归、Breush-Godfrey LM相关性检验、VAR模型的方差分解和脉冲响应图、价格波动率的单位根检验和Granger格兰杰因果检验等方法对中国黄金期货价格的影响因素进行实证研究。结果表明:上海、香港、伦敦的黄金现货和纽约黄金期货价格以及美元指数是影响中国黄金期货价格的主要因素,而中国黄金期货价格的波动显著受到伦敦黄金现货价格波动和纽约黄金期货价格波动的影响。虽然目前中国黄金期货市场已具备一定的规避风险功能,且初具价格发现功能,但国际影响力有待继续提升。     

Alternative settlement methods and Australian individual share futures contracts

Individual share futures contracts have been introduced in Australia since 1994. Initially, the contracts were settled in cash. In 1996, cash settlement was gradually replaced by physical delivery. This study investigates the effects of the settlement method change on Australian individual stock and its futures markets. Specifically, we examine whether return and volatility of each market, correlation between the two markets, basis behavior, and hedging performance of futures markets differ across cash settlement period and physical delivery period. We find that, after the switch from cash settlement to physical delivery, the futures market, the spot market, and the basis all become more volatile. However, each individual share futures contract becomes a more effective hedging instrument. The improvement in hedging effectiveness is particularly impressive for the most recently established individual share futures contracts.     

国内外黄金市场价格间的联动关系稳定吗?——基于外部冲击视角的分析

在全球金融市场不断开放和融合的大背景下,黄金市场不但与外部市场频繁互动,其系统内部的联动关系也变得极为多元和复杂,黄金市场间的价格联动反映了信息和风险在不同市场间的传递过程。黄金价格通常会受到外部因素干扰而产生波动,但市场间的联动关系是否会因此而改变是值得重点关注的问题,黄金市场功能的有效性及稳固的市场关系是投资者利用全球黄金市场进行对冲和避险的先决条件,同时也关系到整个金融市场的稳定性。本文将研究重点聚焦于黄金市场内部,在研究中外各主要黄金市场间动态相关性和波动溢出效应的同时引入外部冲击以检验不同因素对黄金期货、现货市场间联动关系的影响从而探讨国内外黄金市场间价格联动的稳定性问题。结果表明:中国与全球主要黄金期货、现货市场间整体上保持了正相关关系,同时与各主要黄金市场间均存在显著的波动溢出效应。在一般市场条件下,外部冲击并没有显著改变中国与全球主要黄金期货、现货市场间的联动关系,表明黄金市场内部的价格联动具有较强的稳定性。     

Financial Markets Trends and Studies of Singapore Futures Markets

In this paper we explore some recent trends in the financial market and also report some studies of the Singapore futures markets. A characterization of trends shows that national securities markets are much closer than before. This means the linkages between securities and their derivatives and amongst themselves have be come much stronger. Secondly, the advent of sophisticated risk products and instruments and the knowledge to use them effectively would become a common theme together with the idea of value enhancements. Thirdly, computerizations and the internet will play an increasingly important role. So will empirical financial research become increasingly microscopic. The discussion will be supported by the experiences of the Singapore futures markets and various empirical research evidences. The paper also provides a detailed study of causality-in-variance test of information transmission between SIMEX and Osaka Stock Exchange on the Nikkei 225 stock index futures trading prior to, during, and immediately after the announcement of the collapse of Barings. The results are indicative of very strong international market linkages and a portent of things to come.     

STOCK INDEX FUTURES HEDGING: HEDGE RATIO ESTIMATION, DURATION EFFECTS, EXPIRATION EFFECTS AND HEDGE RATIO STABILITY

This paper examines hedging effectiveness for the FTSE-100 Stock Index futures contract from 1984 to 1992. It investigates the appropriate econometric technique to use in estimating minimum variance hedge ratios by undertaking estimations using OLS, an ECM and GARCH. Simple OLS outperforms more complex econometric techniques. Additionally, the paper examines the impact ofhedge duration and time to expiration on estimated hedge ratios and hedge ratio stability over time. It is shown that hedge ratios and hedging effectiveness increase with hedge duration, hedge ratios approach unity as expiration approaches and while hedge ratios vary over time they are stationary.