Sentiment, order imbalance, and co‐movement: An examination of shocks to retail and institutional trading activity

Chelley‐Steeley, Patricia L.; Lambertides, Neophytos; Savva, Christos S.

doi:10.1111/eufm.12146

Cited by 21 publications

(18 citation statements)

References 106 publications

(192 reference statements)

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“…Discussion. From the distribution polygons, it can be seen that there is a relationship between: L2 = f (L1); L5 = f (L3) and L4 = f (G) per general secondary education per secondary school student, which shows direct regression with an increase per unit L1, L2 increases by 0.59 units [9][10][11][12]. From line number 2 in table.…”

Section: Resultsmentioning

confidence: 88%

Relationships that determine the quantitative block of financing in the scientific-informational and educational-production environment

Sivak¹,

Volkova

Pankratyeva

et al. 2021

E3S Web Conf.

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The efficiency of sowing and harvesting processes in agriculture is one of the most important components of the success of an agricultural firm. Natural and climatic conditions typical for the majority of Russian agricultural territories impose restrictions on the timing and the fundamental possibility of sowing and harvesting. Therefore, the low efficiency of sowing and harvesting processes leads to a corresponding decrease in the volume of crop production. A number of works [1-4] consider various approaches to increasing the efficiency of sowing and harvesting, however, a systematic approach to the management of agricultural company processes requires the identification of the most significant reasons for the decrease in the efficiency and addresses as a priority their elimination (or reduction in the strength of their influence). The paper analyzes the reasons for the inefficiencies of sowing and harvesting processes and provides recommendations for reducing the impact of these reasons.

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Section: Resultsmentioning

confidence: 88%

Relationships that determine the quantitative block of financing in the scientific-informational and educational-production environment

Sivak¹,

Volkova

Pankratyeva

et al. 2021

E3S Web Conf.

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“…The first is information-scientific-educational-production environment with a further reduction ISEPE. Then there are indicators of the process block (IPB), indicators of the information quantitative block (IIQB) and indicators of the information quality block (IIQuB) (Camboni & Valbonesi, 2020;Chelley-Steeley et al, 2019).…”

Section: Resultsmentioning

confidence: 99%

Indicators Of The Process Block Of An Innovative Economy

Volkova¹

2022

European Proceedings of Social and Behavioural Sciences

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To study the effectiveness of the education system, the following indicators were determined. The first is the level of population participation in lifelong education per student who graduated from secondary school. The second is the share of costs per person for all types of retraining, advanced training, vocational training, the share of wages in GDP per person who graduated from secondary school. The third is the ratio of the average gross wages of workers with higher education to the labor productivity index, the number of studies under the age of 39 per person with higher education. A number of indicators of the process block are weakly correlated with each other and therefore all of them should be left for consideration. Although there is a relation of average density among some of indicators, it is most likely nonlinear, and therefore it can change dramatically over time. For a deeper interaction between blocks, one should consider the correlation between block processes, for example, the impact of funding for higher education and employment of the population who received this education, or job in the degree of graduates received secondary vocational education and higher education. In addition, this is the way the process block, namely its indicators, correlates with the rest of the indicators. In the future, it is necessary to calculate the final indicator of the impact of the current education system on the productivity in order to answer the question: under what indicators the system is productive.

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“…P2P energy trading system consists of buyers and sellers of RES, where a fabricated price of energy autonomously depends on the number of participants (i.e., producers and consumers) [25]. However, the fabricated price of energy may result in imbalance of orders (i.e., imbalance of order is a situation resulting from excess of buy or sell orders on trade exchange [38]). Blockchain can significantly minimize the fabricated price with the help of a smart contract.…”

Section: Blockchain For Sgmentioning

confidence: 99%

Leveraging Blockchain Technology for Secure Energy Trading and Least-Cost Evaluation of Decentralized Contributions to Electrification in Sub-Saharan Africa

Dahunsi

Almogren

Javaid

et al. 2020

Entropy

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The International Energy Agency has projected that the total energy demand for electricity in sub-Saharan Africa (SSA) is expected to rise by an average of 4% per year up to 2040. It implies that~620 million people are living without electricity in SSA. Going with the 2030 vision of the United Nations that electricity should be accessible to all, it is important that new technology and methods are provided. In comparison to other nations worldwide, smart grid (SG) is an emerging technology in SSA. SG is an information technology-enhanced power grid, which provides a two-way communication network between energy producers and customers. Also, it includes renewable energy, smart meters, and smart devices that help to manage energy demands and reduce energy generation costs. However, SG is facing inherent difficulties, such as energy theft, lack of trust, security, and privacy issues. Therefore, this paper proposes a blockchain-based decentralized energy system (BDES) to accelerate rural and urban electrification by improving service delivery while minimizing the cost of generation and addressing historical antipathy and cybersecurity risk within SSA. Additionally, energy insufficiency and fixed pricing schemes may raise concerns in SG, such as the imbalance of order. The paper also introduces a blockchain-based energy trading system, which includes price negotiation and incentive mechanisms to address the imbalance of order. Moreover, existing models for energy planning do not consider the effect of fill rate (FR) and service level (SL). A blockchain levelized cost of energy (BLCOE) is proposed as the least-cost solution that measures the impact of energy reliability on generation cost using FR and SL. Simulation results are presented to show the performance of the proposed model and the least-cost option varies with relative energy generation cost of centralized, decentralized and BDES infrastructure. Case studies of Burkina Faso, Cote d'Ivoire, Gambia, Liberia, Mali, and Senegal illustrate situations that are more suitable for BDES. For other SSA countries, BDES can cost-effectively service a large population and regions. Additionally, BLCOE reduces energy costs by approximately 95% for battery and 75% for the solar modules. The future BLCOE varies across SSA on an average of about 0.049 $/kWh as compared to 0.15 $/kWh of an existing system in the literature.

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Sentiment, order imbalance, and co‐movement: An examination of shocks to retail and institutional trading activity

Cited by 21 publications

References 106 publications

Relationships that determine the quantitative block of financing in the scientific-informational and educational-production environment

Relationships that determine the quantitative block of financing in the scientific-informational and educational-production environment

Indicators Of The Process Block Of An Innovative Economy

Leveraging Blockchain Technology for Secure Energy Trading and Least-Cost Evaluation of Decentralized Contributions to Electrification in Sub-Saharan Africa

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