Do futures prices help forecast the spot price?

This study proposes a futures‐based unobserved components model for commodity spot prices. Prices quoted at the same time incorporate the same information, but are affected differently, resulting in the different shapes of futures curves. This model utilizes information from part of the futures curve to improve forecasting accuracy of the spot price. Applying this model to oil market data, I find that the model forecasts outperform the literature benchmark (the no‐change forecast) and futures prices forecasts in multiple dimensions, with smaller average error variation over the sample period and higher chance of smaller absolute error in each period.     

Is the Australian wool futures market efficient as a predictor of spot prices?

Giles and Goss (1980) have suggested that, if a futures market provides a forward pricing function, then it is an efficient market. In this article a simple test for whether the Australian Wool Futures market is efficient is proposed. The test is based on applying cointegration techniques to test the Law of One Price over a three, six, nine, and twelve month spread of futures prices. We found that the futures market is efficient for up to a six-month spread, but no further into the future. Because futures market prices can be used to predict spot prices up to six months in advance, woolgrowers can use the futures price to assess when they market their clip, but not for longer-term production planning decisions. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 565–582, 1999     

Price discovery in bitcoin spot or futures?

In December 2017, both the Chicago Board Options Exchange and the Chicago Mercantile Exchange introduced futures contracts on bitcoin. We investigate to what extent they provide useful information for the price discovery of bitcoin. We rely on the information share methodology of Hasbrouck (1995, J Finance, 50, pp. 1175–1199) and Gonzalo and Granger (1995, J Bus Econ Stat, 13, pp. 27–35) and find that the spot price leads the futures price. We attribute this result to the higher trading volume and the longer trading hours of the globally distributed bitcoin spot market, compared to the relatively restricted access to the US-based futures markets.     

Do investors value the nonfinancial disclosure in emerging markets?

This paper studies the impact of the nonfinancial disclosure on firm value for a large sample of Indian firms, arguably emerging market with poor investor protections and legal enforcement. We proxy the nonfinancial disclosure by the Bloomberg score on the extent of a firm's Environmental, Social, and Governance disclosures, and find positive valuation effects associated with the nonfinancial disclosure. We find the nonfinancial disclosure is more valuable to standalone firms compared to business group firms. This paper shows that the positive valuation effects associated with the nonfinancial disclosure are attributable to lower cost of funds and higher operating cash flows.     

“Buying prices” on the commodity futures market

Seemingly an alien land for a food-service chain operator, the futures market can be used as a form of price insurance to counterbalance swings in commodity prices.     

Do S&P 500 index options violate the martingale restriction?

The study tests Longstaff's martingale restriction on S&P 500 index options over the period 1990–1994. Assuming the S&P index follows a lognormal distribution results in systematic violations of the martingale restriction, the implied index value from options consistently overestimating the market value. Adopting a generalized distribution, allowing for nonnormal third and fourth moments, produces economically insignificant rejections of the martingale restriction. A simulation analysis supports the empirical results from the lognormal model in the presence of nonnormal skewness and kurtosis. Overall, the results support the conclusion that the no-arbitrage assumption coupled with the generalized distribution offers a good working model for S&P index options over the period studied. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 499–521, 1999     

Do trend following strategies work in Chinese futures markets?

We examine the performance of trend following strategies in Chinese commodity futures markets. We provide evidence that trend following‐based technical trading rules yield better performance than the buy and hold strategy on both individual contracts and sorted portfolios. The outperformance is robust to transaction costs, data frequency, sub‐prime crisis, shorting constraint, delayed execution, liquidity and parameters. Finally, the profitability of the trend following strategy may be subject to data snooping bias.     

Bid and ask prices of index put options: Which predicts the underlying stock returns?

In this study, we separately estimate the implied volatility from the bid and ask prices of deep out-of-the-money put options on the S&P500 index. We find that the implied volatility of ask prices has stronger predictive power for stock returns than does the implied volatility of bid prices. We identify two sources of the better performance of the ask price implied volatility: one is its stronger predictive power during economic recessions and in the presence of increasing intermediary capital risk, and the other is its richer information about the future market variance risk premium.     

What moves the gold market?

In this article, we provide a detailed characterization of the intraday return volatility in gold futures contracts traded on the COMEX division of the New York Mercantile Exchange. The approach allows the study of intraday patterns, interday ARCH effects, and announcement effects in a coherent framework. We show that the intraday patterns exert a profound impact on the dynamics of return volatility. Among the 23 U.S. macroeconomic announcements, we identify employment reports, gross domestic product, consumer price index, and personal income as having the greatest impact. Finally, by appropriately filtering out the intraday patterns, we find that the high‐frequency returns reveal long‐memory volatility dependencies in the gold market, which have important implications on the pricing of long‐term gold options and the determination of optimal hedge ratios. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21:257–278, 2001     

Do market information processes improve new venture performance?

Does market information improve new venture performance? While some researchers argue that entrepreneurs do not need formal processes to collect and use market information, others suggest that the use of formal market information processes is positively related to firm performance. In this paper, we hypothesize that new venture performance is an increasing function of (1) the firm's level of customer interaction and (2) the use of formal processes for collecting and utilizing market information. We also hypothesize that these linkages will be stronger among new ventures serving emerging markets (i.e., markets in which customer needs and segments are evolving). We test these hypotheses using data collected from 224 new ventures located in the United States. Our findings indicate that, regardless of market condition, formal processes for the collection of market information are positively associated with the use of formal processes for market information utilization and this relationship is stronger among firms serving established markets. In addition, new venture performance is positively associated with the use of formal processes for utilizing market information and this relationship is also stronger in established markets. We also find that, in emerging markets, new venture performance is a positive function of the use of formal processes for collecting market information. Contrary to expectations, we find that, regardless of market condition, the level of customer interaction has a negative relationship with the use of formal processes for market information utilization and no significant relationship with performance.     

Do bank loans still convey information to investors? Evidence from the split share structure reform in China

Bank loans can convey information about the borrowing firms that have proper corporate governance systems. Using a sample of bank loan announcements in China, we find that the market reaction is positive after the split share structure reform in 2005, which aligns the interests of large shareholders and minority shareholders, government and public investors, and alleviates their tunneling incentives. We also find that this effect is more pronounced for private firms as the reform mainly enhances corporate governance for private firms. The signaling role of bank loans is less pronounced for firms with less severe information asymmetry after the reform, e.g. higher shareholdings of mutual funds and higher proportion of independent directors. Related party transactions decrease when they obtain bank loans after the reform, which reflects the alleviation of tunneling after the reform.     

Does trade size restriction affect trading behavior? Evidence from Indian single stock futures market

Algorithmic traders use their advantage of speed to execute a large number of small-sized trades in a very short time. In the presence of a minimum trading unit (MTU) restriction, they are forced to trade at the smallest possible sizes, often restricted by the MTU. Using a novel data set of single stock futures market obtained from the National Stock Exchange of India, we show that the MTU restriction acts as a binding constraint for traders while optimizing trade sizes. Contrary to expectation, we find weak evidence that liquidity is positively impacted by the contract size revision.     

Do country risk and financial uncertainty matter for energy commodity futures?

Using an instrumental variable quantile regression technique, this paper assesses whether country risk and financial uncertainty exert an impact on energy commodity futures prices under different commodity conditional return distributions over the period from January 1994 to July 2017. We also discuss whether the correlations change with different dimensions of country risk, that is economic, financial, and political. The results reveal that country risk and financial stress do have a significant impact on energy commodity returns of futures contracts with different maturities, but their direction, intensity, and significance differ, caused by the distinct market situations and divergent channels of country risk.     

Do volatility determinants vary across futures contracts? Insights from a smoothed Bayesian estimator

We apply a new Bayesian approach to multiple‐contract futures data. It allows the volatility of futures prices to depend upon physical inventories and the contract's time to delivery—and it allows those parametric effects to vary over time. We investigate price movements for lumber contracts over a 13‐year period and find a time‐varying negative relationship between lumber inventories and lumber futures price volatility. The Bayesian approach leads to different conclusions regarding the size of the inventory effect than does the standard method of parametric restrictions across contracts. The inventory effect is smaller for the most recent contracts when the inventory levels are larger. In contrast, the Bayesian approach does not lead to substantively different conclusions about the time‐to‐delivery effect than do traditional classical methods. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:257–277, 2010