The untold story of commodity futures in China

We investigate the behavior of commodity futures risk premia in China. In the presence of retail-dominance and barriers-to-entry, the term structure and momentum premia remain persistent, whereas hedging pressure, skewness, volatility, and liquidity premia are distorted by time-varying margins and strict position limits. Furthermore, open interest, currency, and inflation premia are sensitive to institutional settings. The observed premia cannot be attributed to common risks, sentiment, transactions costs, or data-snooping, but are related to liquidity, anchoring, and regulation-induced limits-to-arbitrage. We highlight the distinctive features of Chinese futures markets and assess the challenges posed to theories of commodity risk premia.     

Inferring information from the S&P 500, CBOE VIX,and CBOE SKEW indices

This paper compares the information extracted from the S&P 500, CBOE VIX, and CBOE SKEW indices for the S&P 500 index option pricing. Based on our empirical analysis, VIX is a very informative index for option prices. Whether adding the SKEW or the VIX term structure can improve the option pricing performance depends on the model we choose. Roughly speaking, the VIX term structure is informative for some models, while the SKEW is very noisy and does not contain much important information for option prices. This paper also extends Zhang et al. (2017, J Futures Markets, 37, 211–237) into three typical affine models.     

Can commodity futures risk factors predict economic growth?

This paper examines whether commodity futures risk factors can predict future economic growth. We test risk factors capturing various spot or term premia and find that only three factors capturing term premia on the basis-momentum, basis, and change in slope are robust predictors for future economic growth, especially for long horizons. Our findings highlight the importance of the term premia, rather than the spot premia on which the literature has mainly focused. Moreover, we find that possible explanations for predictability of commodity factors—the intertemporal asset pricing model and information diffusion explanation—are all inconsistent with our empirical results.     

Don't call us,we'll call you: Considering cognitive and physical effort in designing effective response systems to manage extended in-process wait

People must often wait for days or weeks to receive test results, price quotes, products, etc. Service providers may manage user experience during such in-process waits using notification systems that inform users when a response is available or inquiry systems that require users to inquire about response availability, thereby imposing prospective memory requirements on users. Based on the prospective memory and wait time literature, we make predictions regarding how response system (notification vs. inquiry) moderates the effects of waits that are shorter or longer than the provider promised on user evaluation of the wait. We find that users of a notification system evaluate a wait more positively and are less sensitive to deviations of actual from promised wait time than are users of an inquiry system. This advantage was more pronounced for a wait that was longer (vs. shorter) than promised. These effects of system and expectation on evaluation were fully mediated by their impact on the cognitive and physical effort of navigating the system. Finally, a week after having experienced a wait, users of an inquiry system who had waited longer (vs. shorter) than promised cooperated less on a follow-up task, highlighting another downside of using an inquiry system.     

Value at risk and return in Chinese and the US stock markets: Double long memory and fractional cointegration

Given that the United States is an engine of global stock market while China is the largest emerging market with a cornucopia of anomalies in particular, it is vital to investigate the risk-return relationship in the two markets. This paper brings new insights not only into risk-return tradeoff, but also to the leverage effect, with the application of the fractionally co-integrated vector auto-regression (FCVAR) model capturing the fractional cointegrated relationship and long memory property. Results show that China stock markets own the property of double long memory but the US markets don’t. Most of all, in the US market, a positive risk-return tradeoff exists for the whole sample while after the crisis, even we find the negative relation, it’s not a volatility feedback effect but low risk and high returns. However, there is only a volatility feedback effect in China stock markets. Besides, there is a leverage effect in the US market, while Chinese market exhibits a reverse one, another anomaly, indicating significant difference in the two markets again.     

Systemic financial risk early warning of financial market in China using Attention-LSTM model

We propose an Attention-LSTM neural network model to study the systemic risk early warning of China. Based on text mining, the network public opinion index is constructed and used as a training set to be incorporated into the early warning model to test the early warning effect. The results show that: (i) the network public opinion is the non-linear Granger causality of systemic risk. (ii) The Attention-LSTM neural network has strong generalization ability. Early warning effects have been significantly improved. (iii) Compared with the BP neural network model, the SVR model and the ARIMA model, the LSTM neural network early warning model has a higher accuracy rate, and its average prediction accuracy for systemic risk indicators has been improved over short, medium and long terms. When the attention mechanism is included in the LSTM, the Attention-LSTM neural network model is even more accurate in all the cases.     

Forecasting the urban skyline with extreme value theory

The world’s urban population is expected to grow fifty percent by the year 2050 and exceed six billion. The major challenges confronting cities, such as sustainability, safety, and equality, will depend on the infrastructure developed to accommodate the increase. Urban planners have long debated the consequences of vertical expansion—the concentration of residents by constructing tall buildings—over horizontal expansion—the dispersal of residents by extending urban boundaries. Yet relatively little work has predicted the vertical expansion of cities and quantified the likelihood and therefore urgency of these consequences.We regard tall buildings as random exceedances over a threshold and use extreme value theory to forecast the skyscrapers that will dominate the urban skyline in 2050 if present trends continue. We predict forty-one thousand skyscrapers will surpass 150 meters and 40 floors, an increase of eight percent a year, far outpacing the expected urban population growth of two percent a year. The typical tall skyscraper will not be noticeably taller, and the tallest will likely exceed one thousand meters but not one mile. If a mile-high skyscraper is constructed, it will hold fewer occupants than many of the mile-highs currently designed. We predict roughly three-quarters the number of floors of the Mile-High Tower, two-thirds of Next Tokyo’s Sky Mile Tower, and half the floors of Frank Lloyd Wright’s The Illinois—three prominent plans for a mile-high skyscraper. However, the relationship between floor and height will vary considerably across cities.     

基于OID编码体系的汽车电子标识编码应用研究

本文为了解决物联网所连接对象的多样性带来的标识体系存在不兼容、相互矛盾的问题，基于车联网RFID汽车电子标识的使用特点，创造性地提出将OID编码和汽车电子标识编码相结合的方案。首先简单介绍了基于发证机构及时间和基于汽车VIN码的两种OID编码规则；然后提出了OID编码在汽车电子标识芯片中的规划，主要是内存分配方案；最后介绍了相应区域的读写操作的具体方法。     

Does Greater Amount of Information Always Bolster Attitudinal Resistance?

Previous research suggests that attitudinal resistance to information that challenges a prior evaluation increases with the amount of information underlying the prior evaluation. We revisit this proposition in a context in which a set of important claims about a target brand are presented either alone—a lower amount of isolated information—or along with other favorable, but less important claims—a higher amount of embedded information. Results from two experiments show that when the challenge occurs immediately after the initial evaluation, a greater amount of embedded initial information does produce greater attitudinal resistance. However, when the challenge occurs after a delay, a lesser amount of isolated information produces greater attitudinal resistance. The findings qualify previous assumptions about the role of prior information in attitudinal resistance, and support a constructive view of judgment revision and attitudinal resistance.     

Analyzing the Memory Impact of Advertising Fragments

Marketers are making increasing use of very brief messages that mention just a brand name or a brand name with a short headline, as in event sponsorship and program endorsements. There has been debate over the effectiveness of these advertising fragments. This paper introduces an approach for controlled testing of the effects of advertising fragments. Using a reaction-time based procedure, we show that a key effect of advertising fragments is to revive established brand associations, even though these associations are not explicitly communicated. This reactivation occurs not only when these names receive focal attention, but also when they receive nonfocal attention.