Market impact: a systematic study of the high frequency options market

This paper deals with a fundamental subject that has seldom been addressed in recent years, that of market impact in the options market. Our analysis is based on a proprietary database of metaorders—large orders that are split into smaller pieces before being sent to the market—on one of the main Asian markets. In line with our previous work on the equity market [Said, E., Bel Hadj Ayed, A., Husson, A. and Abergel, F., Market impact: A systematic study of limit orders. Mark. Microstruct. Liq., 2018, 3(3&4), 1850008.], we propose an algorithmic approach to identify metaorders, based on some implied volatility parameters, the at the money forward volatility and at the money forward skew. In both cases, we obtain results similar to the now well-understood equity market: Square-Root Law, Fair Pricing Condition and Market Impact Dynamics.     

Machine learning for financial transaction classification across companies using character-level word embeddings of text fields

An important initial step in accounting is mapping financial transfers to the corresponding accounts. We devised machine-learning-based systems that automate this process. They use word embeddings with character-level features to process transaction texts. When considering 473 companies independently, our approach achieved an average top-1 accuracy of 80.50%, outperforming baselines that exclude the transaction texts or rely on a lexical bag-of-words text representation. We extended the approach to generalizes across companies and even across different corporate sectors. After standardization of the account structures and careful feature engineering, a single classifier trained on 44 companies from 28 sectors achieved a test accuracy of more than 80%. When trained on 43 companies and tested on the remaining one, the system achieved an average performance of 64.62%. This rate increased to nearly 70% when considering only the largest sector.     

Information and Knowledge as Antecedents of Consumer Attitudes and Intentions to Buy and Recommend Fair-Trade Products

The authors propose and empirically test a causal model to understand how the availability of fair-trade information and consumer knowledge about this issue affect consumers’ attitudes and intentions toward fair-trade products. The model is built upon the attitude-behavior paradigm and the premises of agency theory. It is tested through structural equation modeling with a sample of 292 Spanish consumers. The findings are that consumers do not have good knowledge about fair trade and that this is significantly determined by the lack of information about this in the market. It is also observed that consumers’ perceptions about the availability of fair-trade information have negative effects on their concern about this issue and that such information as is available is not effective in reducing consumer skepticism. The research represents an extension of previous fair-trade literature because the role of information and communication in improving consumer attitudes and buying intentions has rarely been explored in the case of ethical products.     

Intraday Lead-Lag Relationships Between the Futures-, Options and Stock Market

In rational, efficiently functioning and complete markets, returns on derivative and underlying securities should be perfectly contemporaneously correlated. Due to market imperfections, one of these markets may reflect information faster. The use of high-frequency data and the choice for a small unit time interval to measure these lead-lag relations comes at the cost of some or many missing observations, causing traditional estimators to either under- or overestimate covariances and correlations. We use a new estimator to estimate lead-lag relationships between the cash AEX index, options and futures. We find that futures returns lead both options and cash index returns by approximately 10 minutes. The relationship between options and the cash market is not completely unidirectional.     

各向异性厚板固有频率的精确解

该文抛弃薄板理论的位移和应力假设，利用矩阵分析和三维弹性动力学理论，导出四边简支各向异性厚板的固有频率方程。该方法可推广应用于各向异性层合板动力分析。     

基本建设投资领域"项目"名词的考证

“项目”一词及其派生词组在基本建设投资领域中的引用非常频繁,由于没有对其进行行业的规范定义,所以使用中常出现混乱,造成词义的误解。通过对“项目”名词的考证,分析了“项目”各种组合名词的内涵限定意义和层次关系,提出了在基本建设投资领域内对“项目”一词及其派生词组的含义认知应统一的意见。     

关于少数民族汉语词汇教学中新词新义的思考

当代汉语词汇产生了7000条左右新词语,但在少数民族汉语教学中较少接触。应尽快研制少数民族汉 语教学大纲,并给予相应的教学安排,以便进一步提高少数民族汉语教学质量。     

BLK4-250比例控制器在供水系统设计中的应用

介绍用流量／电流比例控制器取代交流变频调速装置作为高压供水系统的核心部件,通过可编程控制器 (PLC)对工频水泵机组的自动控制作用,消除了由变频器在运行过程中所引发的谐波、喘振、憋压、水锤效应等不利因素的影响,达到了稳定供水压力、节约电能、提高系统可靠性的目的。     

信息不对称、信息披露与股票价格波动——兼论管理会计信息披露的市场效应

当前对市场有效性的研究只重视会计盈余或某一类市场效应,而缺乏从信息披露制度的整体角度研究披露效果。我们从信息披露的幅度、频率和结构角度对其提高公司透明度的贡献进行了验证,结果表明:上市公司信息披露的幅度越大、频率越快,越有助于降低市场关于公司的信息不对称水平;管理会计信息披露是投资者迫切需要的,在统计上显示出其能显著降低公司的信息不对称水平。     

汉英颜色词的异同对比及分析

中英文化历史悠久,两种文化背景下颜色词的起源、发展演变、语义及运用,既有相同之处,也存在着很大的差异.通过汉英对比的方法,对汉英两种语言中的部分颜色词的语言特点、文化意义的异同进行比较,可以帮助我们更好地理解和运用语言及其文化.