Speculative pressure

The paper investigates the information content of speculative pressure across futures classes. Long-short portfolios of futures contracts sorted by speculative pressure capture a significant premium in commodity, currency, and equity markets but not in fixed income markets. Exposure to commodity, currency, and equity index futures’ speculative pressure is priced in the broad cross-section after controlling for momentum, carry, global liquidity, and volatility risks. The findings are confirmed by robustness tests using alternative speculative pressure signals, portfolio construction techniques, and subperiods interalia. We argue that there is an efficient hedgers-speculators risk transfer in commodity, currency, and equity index futures markets.     

基于 DCC-GARCH的中国大宗商品 金融化研究

本文选取2005年1月4日至2016年9月30日农产品类、金属类和工业品类等中国和国际大宗商品期货市场交易品种,以及国内外主要股票市场指数的日收益率,基于DCC--GARCH模型分析了期货市场和股票市场的波动性溢出关系和动态相依性。结果发现,股票市场对中国商品期货有波动率溢出效应,但是不同类型的大宗商品其波动率溢出效应有明显差异。这说明:中国大宗商品市场存在金融化现象,但是不同类型的大宗商品金融化的程度不同,和国际大宗商品期货市场相比,中国市场的金融化程度总体偏低。     

Dependence of stock and commodity futures markets in China: Implications for portfolio investment

We examine the recent trends in dependence structure between the fast-growing commodity markets and the stock markets in China. We address this issue by using copula functions that allow for measuring both average and tail dependence. Our results provide evidence of low and positive correlations between these markets, suggesting that commodity futures are a desirable asset class for portfolio diversification. By comparing the market risks of alternative portfolio strategies, we show that Chinese investors can take advantage of commodity futures during different times to realize risk diversification and downside risk reduction benefits.     

The market quality of commodity futures markets

To study the market quality of commodity futures markets, we construct a commodity futures market quality index from the perspective of liquidity, efficiency, and volatility. Based on the market quality index, the Chinese commodity futures market operates steadily. The metal futures market is more efficient and stable than the market for agricultural futures. The Chinese commodity futures market is less liquid and more volatile than the U.S. market. We examine the determinants of market quality and find that macroeconomic variables and futures market contracts are significantly related to the market quality of Chinese commodity futures.     

股指期货如何影响股市稳定性?——对全球主要市场的三角度实证检验

以全球多个市场作为实证检验对象,从股市波动率变化、系统风险变化以及股市正反馈交易行为影响三个角度,分析股指期货市场稳定作用的含义,即对股市波动的影响及其作用表现,较为全面地解读股指期货的市场稳定作用。研究发现:三个角度都支持股指期货的市场稳定作用;而抑制正反馈交易的作用最为基础、直接和显著,是股指期货市场稳定作用的更为恰当的判断标准。     

Illiquidity transmission from spot to futures markets

We develop a model of illiquidity transmission from spot to futures markets that formalizes the derivative hedge theory of Cho and Engle (1999). The model shows that spot market illiquidity does not translate one to one to the futures market but, rather, interacts with price risk, liquidity risk, and the risk aversion of the market maker. The model's predictions are tested empirically with data from the stock market and markets for single-stock futures and index futures. The results support our model and show that the derivative hedge theory provides an explanation for the liquidity link between spot and futures markets.     

How about selling commodity futures losers?

This paper explores the benefits of extending the investment universe to commodity futures, from the perspective of momentum traders. We find that the growth-optimal portfolio includes negative (positive) weights on commodity futures losers (stock winners). Motivated by this finding, we construct a joint momentum strategy, buying stock winners and selling commodity futures losers, and show that it generates an average monthly return of up to 1.91% and provides much lower skewness (0.04) and kurtosis (1.27) than a traditional stock momentum strategy. It also greatly improves profitability, especially in unfavorable market states, and thus effectively manages tail risk.     

Managed futures,positive feedback trading,and futures price volatility

A major issue in recent years is the role that large, managed futures funds and pools play in futures markets. Many market participants argue that managed futures trading increases price volatility due to the size of managed futures trading and reliance on positive feedback trading systems. The purpose of this study is to provide new evidence on the impact of managed futures trading on futures price volatility. A unique data set on managed futures trading is analyzed for the period 1 December 1988 through 31 March 1989. The data set includes the daily trading volume of large commodity pools for 36 different futures markets. Regression results are unequivocal with respect to the impact of commodity pool trading on futures price volatility. For the 72 estimated regressions (two for each market), the coefficient on commodity pool trading volume is significantly different from zero in only four cases. These results constitute strong evidence that, at least for this sample period, commodity pool trading is not associated with increases in futures price volatility. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 759–776, 1999     

Market Efficiency and Price Discovery in Cocoa Markets

ABSTRACT

This paper tests the efficiency and price discovery mechanism in the cocoa cash and futures markets over the period March 1981–August 2009. The results indicate that the price discovery is done in the cash market and spreads to the futures markets and that the futures price can be seen as an unbiased predictor of future cash prices. There is no sign of a risk premium in the futures price. Since the cash behaves like a random walk we cannot reject market efficiency.     

The response of volume and returns to the information shocks in China's commodity futures markets

This study investigates the response of returns and volume to different information shocks in China's commodity futures markets using bivariate moving average representation (BMAR) and bivariate vector autoregression (BVAR) methodologies. Consistent with the conclusions from stock market studies that have used these methodologies, it is found that the informational/permanent components are the dominant components for returns movements, and the noninformational/transitory components are the dominant components for trading volume. It is also found that the market response of copper futures improved during the sample period, and the market responses of actively traded futures (copper and soybeans) are better than those of the less actively traded futures (aluminum and wheat). © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:893–916, 2005     

What explains default risk premium during the financial crisis? Evidence from Japan

As is well documented, subprime mortgage markets carried significant default risk. This paper investigates the relationship between default risk premium, stock market conditions and macroeconomic variables during the financial crisis. Using iTraxx Japan Credit Default Swap (CDS) index spreads covering the period from March 2006 to November 2009, we employ a time-varying dynamic factor model with Markov regime switching to generate regime probabilities for default risk. We analyze the sensitivity of default risk premium changes to stock market conditions and macroeconomic variables by using two-state Markov switching models: a crisis regime sparked by rising loan defaults in the sub-prime mortgage market, and a non-crisis regime. We found strong evidence that the relationship between default risk premium changes, stock market and macroeconomic variables is regime-dependent. Our results suggest that during periods of crisis, CDS indices behave as a higher-risk indicator and become more sensitive to stock market conditions and macroeconomic variables. This paper examines the effects of the financial crisis in explaining the default risk premium. Understanding the determinants of default risk premium is important for financial analysts, economic policy makers and credit risk management.     

Intraday price discovery and volatility transmission in stock index and stock index futures markets: Evidence from China

Using high‐frequency data, this study investigates intraday price discovery and volatility transmission between the Chinese stock index and the newly established stock index futures markets in China. Although the Chinese stock index started a sharp decline immediately after the stock index futures were introduced, the cash market is found to play a more dominant role in the price discovery process. The new stock index futures market does not function well in its price discovery performance at its infancy stage, apparently due to high barriers to entry into this emerging futures market. Based on a newly proposed theoretically consistent asymmetric GARCH model, the results uncover strong bidirectional dependence in the intraday volatility of both markets. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark     

影响我国农产品期货效率的国际化因素与对策

为了进一步促进我国农产品期货市场的完善和发展,推动我国农产品期货市场国际化,并在国际农产品期货市场中具有世界影响力,对影响我国农产品期货市场效率的国际化因素进行了具体分析,指出当前我国农产品期货市场在国际化、开展跨境业务等方面存在的一些问题。提出逐步允许更多的国内公司直接参与国际期货交易．逐步拓展国内期货公司代理国外期货交易以及探索国外投资者参与国内期货交易的途径等具体政策建议。     

Forecasting equity returns: The role of commodity futures along the supply chain

This paper examines equity return predictability using the returns of commodity futures along the supply chain in China's financial market. We find that a considerable number of commodities exhibit significant in‐sample forecasting ability at the daily horizon, especially for supplier‐side equity returns. The macroeconomic risk premium effect, captured by the aggregate commodity prices, is an important source for this predictability. The out‐of‐sample results show that for most commodities, the predictability remains both statistically and economically significant, and the forecasting performance improves substantially during recessions or with economic constraints.     

Arbitrage,cointegration, and the joint dynamics of prices across discrete commodity futures auctions

Underlying the search for arbitrage opportunities across commodity futures markets that differ in market structure is the idea that the futures prices for similar commodities that are traded on different exchanges adjusted for differences in currency, delivery time (if any), location, and market structure are equal. This article examines price linkages in competing discrete commodity futures auction markets. We find no evidence of cointegration of futures prices of similar commodities traded on two contemporaneous discrete auction futures exchanges in Asia. We also find no evidence of arbitrage activities across these two Asian exchanges, though this does not preclude arbitrage activities with North American continuous auction markets. This lack of cointegration may be due to nonstationarities in the trading cost component. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 799–815, 1999     

Public News Arrival and Cross‐Asset Correlation Breakdown

This study models and tests empirically the role of public news arrivals in the quote matching across single‐stock futures and underlying stock markets—a trading strategy often adopted by algorithmic traders. Our model suggests that quote return correlation across these two markets breaks down when the news uncertainty is sufficiently large and futures market makers switch from automating the quote matching process to manually analyze, monitor, and update quotes. We show empirically that the breakdown is more prominent for large stocks, and this effect of firm size falls during periods of high‐market volatility. Our empirical results are robust to the effect of distraction due to extraneous news events.     

Liquidity shocks,commodity financialization,and market comovements

We explore whether and how liquidity factors influence risk transfers between commodity and stock markets using a composite liquidity index and five different types of liquidity measures. We find that liquidity shocks, including both funding liquidity and market liquidity, are positively associated with comovements between commodity and stock markets after 2000, although the relationship is insignificant before 2000. The structural change indicates that financialization creates a role for adverse liquidity shocks to increase cross-market correlations. Further evidence shows that the effect of liquidity on cross-market correlations is state-dependent and intensifies when liquidity conditions deteriorate and asset returns sustain substantial declines. Our findings are not explained by business cycles.     

Need for speed: Hard information processing in a high‐frequency world

I study the role of high‐frequency traders (HFTs) and non‐high‐frequency traders (nHFTs) in transmitting hard price information from the futures market to the stock market using an index arbitrage strategy. Using intraday transaction data with HFT identification, I find that HFTs process hard information faster and trade on it more aggressively than nHFTs. In terms of liquidity supply, HFTs are better at avoiding adverse selection than nHFTs. Consequently, HFTs enhance the linkage between the futures and stock markets, and significantly contribute to information efficiency in the stock market by reducing the delay between the stock and the futures markets.     

Does Index Futures Trading Reduce Volatility in the Chinese Stock Market? A Panel Data Evaluation Approach

This study investigates the effect of introducing index futures trading on the spot price volatility in the Chinese stock market. We employ a recently developed panel data policy evaluation approach (Hsiao, Ching, and Wan, 2011) to construct counterfactuals of the spot market volatility, based mainly on cross‐sectional correlations between the Chinese and international stock markets. This new method does not need to specify a particular regression or a time‐series model for the volatility process around the introduction date of index futures trading, and thus avoids the potential omitted variable bias caused by uncontrolled market factors in the existing literature. Our results provide empirical evidence that the introduction of index futures trading significantly reduces the volatility of the Chinese stock market, which is robust to different model selection criteria and various prediction approaches. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 33:1167–1190, 2013     

Naming Products in China: Local or Foreign Branding

ABSTRACT

This study examines the effect of program trades on the price changes in the Korean stock index futures and spot markets employing intraday return and trading data. Program trades in the Korean stock market create an instant imbalance in market liquidity. However, their impact is very short-lived and limited in an economic sense. Moreover, there is little tendency for market returns to over-react to program trades. An increase in program trades results in higher spot market volatility but does not cause monotonically increasing futures market volatility. Overall, program trades do not destabilize the stock market in Korea despite some positive association between program trades and volatility.