Do individual index futures investors destabilize the underlying spot market?

This study investigates the impact of introducing index futures trading on the volatility of the underlying stock market. We exploit a unique institutional setting in which presumably uninformed individuals are the dominant trader type in the futures markets. This enables us to investigate the destabilization hypothesis more accurately than previous studies do and to provide evidence for or against the influence of individuals trading in index futures on spot market volatility. To overcome econometric shortcomings of the existing literature we employ a Markov‐switching‐GARCH approach to endogenously identify distinct volatility regimes. Our empirical evidence for Poland suggests that the introduction of index futures trading does not destabilize the spot market. This finding is robust across three stock market indices and is corroborated by further analysis of a control group. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark 31:81–101, 2011     

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.     

“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 consumers value price transparency?

We examine the role of price transparency in consumer preferences and demand. We assemble a detailed dataset on the driving school industry in Portugal to quantify how firms present the price of the course of instruction, and its individual components, to potential students. Our unique data allows us to estimate a structural model of school choice and measure the impact of varying levels of price information on demand. The results show that consumers are willing to pay a significant amount for price transparency, on average 11% of the service price, and that consumer demographics drive heterogeneous preferences for transparency.     

Why do expiring futures and cash prices diverge for grain markets?

In recent years, cash and futures prices have failed to converge at expiration for selected corn, soybean, and wheat commodity contracts. This lack of convergence raises questions about the effectiveness of arbitrage activities, and increases concerns about the usefulness of these contracts for hedging. We describe the delivery process for these contracts, and show that it embeds a valuable real option on the long side—the option to exchange the deliverable for another futures contract. As the relative volatility of cash and futures prices increases, this option increases in value, which disconnects the cash market from the deliverable instrument in a futures contract. Our estimates of this option's value show that it may create significant price divergence. We parameterize an option pricing model using data on these three commodities from 2000 to 2008 and show that the option model fits closely to recent episodes of non‐convergence, which lends support to the importance of real option effects. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark

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Do stock prices undervalue investments in advertising?

Under the efficient market hypothesis, the stock price incorporates the full value of a firm’s advertising. If so, advertising spending should not be associated with future abnormal stock returns. Nevertheless, from 1995 to 2015, advertising spending often leads to abnormal stock returns the following year. The strongest results surface for consumer goods and services where advertising used to build brand equity can carryover from one year to the next. No significant differences arise for healthcare, industrial goods, or retailer advertising. Healthcare and industrial goods advertising is often modest. Retailer advertising that builds traffic should have little if any carryover into the following year. These results may help marketing managers defend an advertising budget whose benefits carryover into the following year, but hurt current profits. Having more investment analysts on Wall Street with a marketing background should help reduce this overly conservative “wait and see” discount for carryover advertising.     

Metal prices made in China? A network analysis of industrial metal futures

In addition to being the world's greatest consumer and producer of industrial metals, China now also features the most actively traded industrial metal futures contracts worldwide. To examine China's role in the global price formation process of industrial metal futures markets, we use a sample of 29 futures contracts traded on exchanges in the United States, the United Kingdom, India, and China. We estimate vector autoregressive models and conduct variance decompositions, which are then visualized in the form of networks. The results indicate that China, despite its role as key actor in both real and financial industrial metal markets, is a price taker.     

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.     

Is the synthetic stock price really lower than actual price?

Conventional wisdom suggests synthetic stock prices are lower than actual prices due to short-sale constraints and voting premiums. This study finds that such underpricing of the synthetic midquote disappears if arbitrageurs face security borrowing costs. The synthetic spread predominantly contains the actual spread. Synthetic stock overpricing is as common as underpricing but the former is more persistent and more profitable. The difference between synthetic and actual quotes is significantly affected by options market makers' hedging costs and investors' demand for leverage.     

Can night trading reduce price volatility? Evidence from China's corn and corn starch futures markets

Since 2013, China's futures exchanges have implemented night trading for agricultural futures to reduce the overnight risk and price jump of futures products by extending trading hours. This study uses difference-in-differences (DID) to examine the impacts of night trading on daytime price volatility in corn and corn starch futures markets. On the basis of tick-by-tick data for these futures, we find that night trading has significantly reduced daytime volatility and contributed to price volatility stability in the corresponding futures market. Moreover, we make DID estimations for separate daytime sessions and find that the reduction of the daytime volatility takes place mainly during the first trading session. Robustness and placebo tests further support our main conclusions. Our results provide valuable guidance for futures exchanges and regulators seeking to formulate night trading policies for futures and options.     

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 small traders contribute to price discovery? Evidence from the Hong Kong Hang Seng Index markets

Using one‐contract‐size trades in the Mini Hang Seng Index futures to proxy the activities of small traders, this study empirically investigates the information contribution of small futures traders to price discovery on the Hang Seng Index (HSI) markets. Estimated with the models of Gonzalo, J., and Granger, C. W. J. ( 1995 ) and Hasbrouck, J. ( 1995 ), the results show that small traders contribute about 16.8% to price discovery, a disproportionately high share considering their relatively low trading volume. The results also indicate that the Hang Seng Index futures (HSIF) market still has the largest information share (about 71.0%), whereas the HSI spot market has a 12.2% share. Our results suggest that small traders are not uninformed in the HSIF markets, and play an important role in price discovery. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:156–174, 2010     

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     

The dark side of Bitcoin: Do Emerging Asian Islamic markets help subdue the ethical risk?

Continuous financing of illicit activities (drug and human trafficking, child abuse, cybercrimes) through Bitcoin nurtures the ethical risk of investors. Building on this argument, the current study investigates the extreme tail dependence between Bitcoin and Emerging Asian Islamic (EAI) markets. We report multiple tail-dependent copulas differing across turmoil periods for the whole sample period. Under the ethical-risk hypothesis and modern portfolio theory, our findings demonstrated stronger safe-haven properties of EAIs for Bitcoin to mitigate ethical risk, and higher diversification benefits are documented for both equally adjusted and optimal portfolios. We formulated useful implications for policymakers, governments, regulation authorities, ethical investors, and portfolio managers for policymaking and strategizing their investment portfolios.