Availability and settlement of individual stock futures and options expiration-day effects: evidence from high-frequency data

This study examines whether the expiration-day effects of stock options traded in Australian Stock Exchange on return, volatility, trading volume, and temporary price changes of individual stocks vary with the availability and the settlement method of individual stock futures contracts. Using transaction data of the stocks that have both options and futures contacts from 1993 to 1997, we find that options expiration has significant effects on return and volatility of the underlying stocks in absence of individual stock futures. After introduction of a cash-settled stock futures contract, the effects decrease notably. However, the switch of a futures contract from cash settlement to physical delivery promotes the expiration effects on return and volatility and boosts temporary price changes on expiration days. Finally, options expiration has little effect on trading volume. Trading activity tends to behave normally regardless whether stock futures contracts are available or not.     

Momentum strategies with stock index exchange-traded funds

Previously reported momentum profits may not be available to individual investors who have more trading constraints. Therefore, I examine the profitability of momentum strategies with international iShares and US sector exchange-traded funds (ETFs) traded on the NYSE. The index ETFs provide individual investors easy access to international stock markets and US sectors for asset allocations. Using cross-sectional momentum strategies, in contrast to prior research, I find that momentum profits are insignificant for the late 1990s–2014 period. Few country and industry ETFs yield positive results using time series momentum, and the overall performance is worse than the buy-and-hold strategy. Time series momentum offers significant profits during the 2008 global financial crisis, but the profits decline sharply for the post-crisis period.     

A strategy for trading the S&P 500 futures market

A system for trading the S&P 500 futures market is proposed. The system is applied to S&P 500 futures data during the period from September 14, 1987, to September 27, 1999. The system uses a momentum oscillator for generating entry or exit prices. In addition, the system uses another indicator for predicting the direction of the trend. When only the oscillator is used for selecting trades, the system is not, in general, as good as buy-and-hold. However, when the trend indicator is used as a filter, the trading system is, at least, as good as buy-and-hold.     

Price discovery in the Indian gold futures market

This paper examines the price discovery process of the nascent gold futures contracts in the Multi Commodity Exchange of India (MCX) over the period 2003 to 2007. The study employs vector error correction models (VECMs) to show that futures prices of both standard and mini contracts lead spot price. We find that mini contracts contribute to over 30% of price discovery in gold futures trade even though they account for only 2% of trading value on the MCX. Our finding reveals that trades initiated in mini contracts are much more informative than what the size of their market share of volume suggests.     

存货购销中最优期权合约交易量研究

在分析利用期权合约规避价格波动风险的原理的基础上,分别给出存货购销两个环节中可以运用的期权策略,然后利用均值方差模型计算使投资组合达到效用最大化时所对应的最优期权合约交易量及其对经营利润的影响,研究发现：在存货采购环节,企业可以通过购入看涨期权、购入看涨期权同时售出看跌期权两种策略控制采购价格波动的风险,在存货销售环节,企业可以通过购入看跌期权、同时购入看跌期权并售出看涨期权两种策略来稳定销售利润;从最优期权合约交易量及其对企业经营利润的影响来看,期权工具在控制存货采购价格、稳定销售利润中可以发挥良好作用。     

Uncertain tax rules and futures hedging

This paper considers the optimal futures hedging decision under uncertain tax treatment. If the Corn Products (CP) rule applies, gains or losses from futures trading can offset business gains or losses. However, under the Arkansas Best (AB) doctrine, offsetting is not allowed. We show that the risk neutral firm will not trade futures contracts if the probability the CP rule prevails is small. When the probability is sufficiently large, the firm will assume an underhedge. A risk averse firm is likely to trade, even if the AB rule prevails. As long as the CP ruling is not a sure thing, the firm will engage in underhedge. The effects of average business profits, the volatility of business profits, and risk aversion on the optimal futures position are provided. Copyright © 1999 John Wiley & Sons, Ltd.     

Are VIX futures prices predictable? An empirical investigation

This paper investigates whether volatility futures prices per se can be forecasted by studying the fast-growing VIX futures market. To this end, alternative model specifications are employed. Point and interval out-of-sample forecasts are constructed and evaluated under various statistical metrics. Next, the economic significance of the forecasts obtained is also assessed by performing trading strategies. Only weak evidence of statistically predictable patterns in the evolution of volatility futures prices is found. No trading strategy yields economically significant profits. Hence, the hypothesis that the VIX volatility futures market is informationally efficient cannot be rejected.     

An Empirical Examination of Foreign Exchange Market Efficiency: Applying the Filter Rule Strategy to Intra-Daily DM/$ Exchange Rates

Testing the existence of excess filter rule trading profits is one of the weak-form tests of market efficiency. Using intra-daily Deutsche mark/U.S. dollar exchange rate data from February 1985 to August 1989, this study applies the x' statistic in Sweeney (1986) to examine whether significant excess filter rule profits exist. The results show that many combinations of in and out filters generate significant x' statistics. Among them, in and out filters around 0.05–0.1 % generally lead to the highest excess filter rule profit. Furthermore, the performance of the filters remains stable when the sample period is broken down into three equal subperiods. Such findings indicate that there may be inefficiency in the intra-daily Deutsche mark/U.S. dollar market. An investor may earn excess profit in this market by applying the filter rule strategy.     

Did the introduction of Bitcoin futures crash the Bitcoin market at the end of 2017?

At the end of 2017, the Bitcoin price dropped significantly by approximately 70% over the two months. Since the introduction of Bitcoin futures coincided with this market crash, it is said that the new financial instrument might have caused the market crash. The literature states that the futures enabled investors to easily take a short position and hypothesizes that the selling pressure from futures could have potentially crashed the Bitcoin market. To evaluate this assumption, we investigate the empirical relationship between futures trading and the Bitcoin price by using high-frequency data. We find that Bitcoin futures trading was not significantly related to the returns on Bitcoin futures and spot returns. Therefore, we conclude that Bitcoin futures did not lead to the crash of the Bitcoin market at the end of 2017.     

离岸与在岸股指期货市场的价格联动关系研究——基于国内股指期货市场受限的实证分析

金融资产的价格发现权是各国经济主权的重要组成部分,关系到市场秩序和国民财富的安全。从历史经验看,一旦在岸市场出现发展迟滞或过度管制等问题,竞争性离岸市场就会利用契机快速发展。以2015年国内股指期货受限事件为自然实验,分析新加坡交易所A50与国内沪深300股指期货的价格联动关系,研究表明：国内市场受限后,A50股指期货的持仓量呈明显上升趋势,承载的避险需求增大,其夜盘和盘前涨跌能有效预测沪深300指数开盘走势;在同步交易时段,沪深300股指期货在价格发现中的贡献度为64.4%,仍明显高于A50股指期货;境内熔断触发后,A50股指期货的成交量没有显著减少,表明在岸市场暂停无法显著制约离岸市场的价格发现能力。     

An empirical analysis of the Carbon Financial Instrument

This study provides an empirical investigation of the price volatility—trading volume relationship for the Carbon Financial Instrument (CFI). A CFI is a financial contract that is traded on the Chicago Climate Exchange (CCX) and represents the right to emit 100 metric tons of CO₂ equivalent. CFI contracts differ from one another on the basis of their allocation year to CCX member firms, referred to as their respective Vintage year. We provide evidence indicating a positive contemporaneous relationship between price changes and trading volume for the different CFI Vintage contracts. Employing bivariate VAR models that adjust for trade duration, we find that CFI price volatility and trading volume are persistent across time. Furthermore, we provide evidence indicating that lagged volume increases price volatility, in addition to lagged price volatility increasing trading volume levels in the CCX market. Our results are in agreement with prior research documenting significant positive price volatility—volume relationships in traditional equity markets.     

沪深300股指期货在现货交易和非交易时段交易特征的比较研究

我国沪深300股指期货交易2010年4月16日正式推出,但沪深300股指期货市场与沪深300现货市场的交易时间存在显著的差异,即相对于股票现货市场,沪深300股指期货市场提前15分钟开盘,延迟15分钟收盘。运用日内分笔数据和分钟数据,对沪深300股指期货不同交易时段的交易特征进行比较。研究表明,不同交易时段知情交易者市场参与度存在明显差异,提前交易时段知情交易的概率最高,现货交易时段次之,延迟交易时段最低;沪深300股指期货在开盘时段的交易提供了较大的价格发现,特别是开盘的第一笔交易包含有大量的私有信息,价格贡献最大;提前交易时段私有信息的价格发现贡献度最高;尽管提前交易时段的交易提供了较大的价格发现,但定价效率较低。     

Impact study on the interest rate futures market

Any announcement from the Federal Reserve has a huge impact on the interest rate markets. The press releases from the Federal Open Market Committee (FOMC) are major inputs to the market and the random intervention model is applied to interest rate futures transaction data to measure FOMC announcement impact. Missing prices during non-trading time periods are imputed iteratively during the estimation of model parameters. The study shows that the market trading on the announcement day is different from the market trading on a non-announcement for both the Eurodollar and T-Note futures market.     

Trading and non-trading period realized market volatility: Does it matter for forecasting the volatility of US stocks?

We study the potential merits of using trading and non-trading period market volatilities to model and forecast the stock volatility over the next one to 22 days. We demonstrate the role of overnight volatility information by estimating heterogeneous autoregressive (HAR) model specifications with and without a trading period market risk factor using ten years of high-frequency data for the 431 constituents of the S&P 500 index. The stocks’ own overnight squared returns perform poorly across stocks and forecast horizons, as well as in the asset allocation exercise. In contrast, we find overwhelming evidence that the market-level volatility, proxied by S&P Mini futures, matters significantly for improving the model fit and volatility forecasting accuracy. The greatest model fit and forecast improvements are found for short-term forecast horizons of up to five trading days, and for the non-trading period market-level volatility. The documented increase in forecast accuracy is found to be associated with the stocks’ sensitivity to the market risk factor. Finally, we show that both the trading and non-trading period market realized volatilities are relevant in an asset allocation context, as they increase the average returns, Sharpe ratios and certainty equivalent returns of a mean–variance investor.     

Evidence of information transmission across currency futures markets using frequency domain tests

In this article, I examine the returns and volatility spillovers in the currency futures market incorporating the recently developed frequency domain tests. Such analysis allows differentiating between permanent (long-run) and transitory (short-run) linkages among the currency futures markets by investigating the causality dynamics at low and high frequencies respectively. I detect significant informational linkages between USD, EUR, GBP and JPY futures contracts in the Indian currency futures market. Evidence of innovations from USD futures market to other markets is the most significant for returns spillover and for volatility spillover, EUR is found to be the most significant compared to other currency futures contracts. The results would have implications for the market participants and policymakers.     

Do voluntary disclosures of bad news improve liquidity?

Can managers improve market liquidity and lower the cost of capital by providing voluntary earnings guidance? This study examines the impact of profit warnings on market liquidity and finds that voluntary disclosure of bad news actually improves market liquidity. By conducting an empirical study over the period 1995–2010 on NYSE, NASDAQ and AMEX listed firms, we find that firms that issue profit warnings show enhanced market liquidity during the post-announcement period. We show that profit warnings reduce information asymmetry and lower bid-ask spreads and increase trading volumes. These results are invariant to daily (short run) and monthly (long run) data after controlling for firm specific attributes. The results have major corporate policy implications. By voluntarily disclosing negative earnings guidance by managers, firms will experience significant improvement in market liquidity, thereby lowering the cost of capital. Our results are even more profound for firms that release bad news with extremely negative stock market impact. In other words, voluntary disclosure of bad news is good for market liquidity.     

Exploiting sports-betting market using machine learning

We introduce a forecasting system designed to profit from sports-betting market using machine learning. We contribute three main novel ingredients. First, previous attempts to learn models for match-outcome prediction maximized the model’s predictive accuracy as the single criterion. Unlike these approaches, we also reduce the model’s correlation with the bookmaker’s predictions available through the published odds. We show that such an optimized model allows for better profit generation, and the approach is thus a way to ‘exploit’ the bookmaker. The second novelty is in the application of convolutional neural networks for match outcome prediction. The convolution layer enables to leverage a vast number of player-related statistics on its input. Thirdly, we adopt elements of the modern portfolio theory to design a strategy for bet distribution according to the odds and model predictions, trading off profit expectation and variance optimally. These three ingredients combine towards a betting method yielding positive cumulative profits in experiments with NBA data from seasons 2007–2014 systematically, as opposed to alternative methods tested.     

Open interest,volume, and volatility: evidence from Taiwan futures markets

This paper examines the relationships amongst volatility, total trading volume (TVOL) and total open interest (TOI) for three Taiwan stock index futures markets as well as the role of the latter two variables in the dynamics of GARCH modeling and forecasting. From both ex-post and ex-ante perspectives, we study this issue by using the VAR model and augmented GARCH-type models, respectively. For the GARCH-type models, we employ both symmetric and asymmetric models augmented with lagged logs in TOI and/or TVOL. We find that whether addition of these two variables helps the basic GARCH models predict future volatility depends upon the sample period examined for all three sets of futures. Nonetheless, the best three models for out-of-sample volatility forecasting in the MSE sense are generally the augmented models for all sub-intervals and all three futures contracts.     

The influence of ETFs on the price discovery of gold, silver and oil

In this study we examine gold, silver and oil exchange traded funds (ETFs) and their relation to their respective futures instruments and underlying commodities by using intradaily data. We find that the gold, silver and oil ETFs closely track the performance of their underlying assets by using tracking error and pricing deviation metrics. It has been documented in the finance literature that price discovery occurs in the futures market. We test whether in recent times the existence of ETFs has changed the dominating role of the futures market in price discovery. We find that the availability of ETFs has shifted price discovery for gold and silver to the ETF market, while the oil market has price discovery occurring still predominantly in the futures market.     

Licensing and innovation with imperfect contract enforcement

Licensing promotes technology transfer and innovation, but enforcement of licensing contracts is often imperfect. We model contract enforcement as a game with perfect information but probabilistic enforcement and explore the implications of weak enforcement on the design of licensing contracts, the conduct of firms, and market performance. An upstream firm develops a technology that it can license to downstream firms using a fixed fee and a per‐unit royalty. Strictly positive per‐unit royalties maximize the licensor's profit if competition among licensees limits joint profits. With imperfect enforcement, the licensor lowers variable royalties to avoid cheating. Although imperfect contract enforcement reduces the profits of the licensor, weak enforcement lowers prices, increases downstream innovation, and in some circumstances can increase total economic welfare.