This paper aims to develop an innovative neural network approach to achieve better stock market predictions. Data were obtained from the live stock market for real-time and off-line analysis and ...results of visualizations and analytics to demonstrate Internet of Multimedia of Things for stock analysis. To study the influence of market characteristics on stock prices, traditional neural network algorithms may incorrectly predict the stock market, since the initial weight of the random selection problem can be easily prone to incorrect predictions. Based on the development of word vector in deep learning, we demonstrate the concept of “stock vector.” The input is no longer a single index or single stock index, but multi-stock high-dimensional historical data. We propose the deep long short-term memory neural network (LSTM) with embedded layer and the long short-term memory neural network with automatic encoder to predict the stock market. In these two models, we use the embedded layer and the automatic encoder, respectively, to vectorize the data, in a bid to forecast the stock via long short-term memory neural network. The experimental results show that the deep LSTM with embedded layer is better. Specifically, the accuracy of two models is 57.2 and 56.9%, respectively, for the Shanghai A-shares composite index. Furthermore, they are 52.4 and 52.5%, respectively, for individual stocks. We demonstrate research contributions in IMMT for neural network-based financial analysis.
ABSTRACT
We use a large pictorial sample of Chinese financial analysts to test the association between facial width‐to‐height ratio (fWHR) and performance in men. Financial analysts offer an ideal ...setting for our investigation because we can objectively track individual analysts’ behaviors and performance. We find that high‐fWHR analysts are more likely to conduct corporate site visits and they exhibit better performance. The positive fWHR–performance association survives a battery of robustness checks and the association is more pronounced for analysts with lower status, for firms with higher uncertainty, and for analysts facing more intense competition. Our results suggest that the dominant trait predicted by fWHR is achievement drive.
This research aims to determine the costs, receipts, business advantages, and business feasibility of food Small Medium Enterprise (SMEs). The primary method used in this study is analytical ...descriptive with survey techniques. This research involved food SMEs entrepreneurs in Sukoharjo Regency with several 50 respondents. The sampling method uses a simple random sampling method. Data is obtained by interview and observation methods. The analytical techniques used are profit analysis, R/C ratio, liquidity analysis, solvency, business rentability, and risk analysis. The results showed that the RoA value was 12.102% so that the Food SMEs in Sukoharjo Regency showed possible outcomes to be developed. SMEs' solvency value represents a figure of 0.016%, based on creditors funding the business of 0.016% of the total assets held.
The sustainable development of the global economy and society calls for the practice of the environmental, social and governance (ESG) principle. The ESG principle has been developed for 17 years ...following its formal proposal in 2004. Countries around the world continue to promote the coordinated development of the environment, society, and governance in accordance with the ESG principle. In order to review and summarize ESG research, this study takes the literature related to ESG research as the research object and presents the cooperation status, hot spots, and trends of ESG research with the help of the literature analysis tool CiteSpace. On the basis of quantitative analysis results, this study presents an examination and comprehensive summary of progress in the research into ESG combined with a systematic literature review. This includes the theoretical basis of ESG research, the interaction between the dimensions of ESG, the impact of ESG on the economic consequences, the risk prevention role of ESG, and ESG measurement. Based on the systematic summary of research progress, this paper further refines the characteristics of ESG research, reveals the shortcomings of ESG research, and propose a focus for ESG research in the future in order to provide a reference for academic research and the practice of ESG.
Abstract
The swift development and transformation of emerging technologies such as augmented reality, robotics, biometrics and 3D printing place varying degree of pressure to the electronic industry ...to play a trailblazing role in making the world a smarter place of living. The concept of smart city increases the demand for the upgrades and sophistication of electronic components. Shorter product life cycles of personal and commercial electronic products also keep the electronic companies in a never-ending loop for huge investments in materials, equipment and expertise. Electronic companies in Malaysia are still facing financial stress in their operations. Therefore, this paper aims to optimize the financial management of listed electronic companies, namely D&O, GTRONIC, UNISEM and VITROX with asset, liability, equity, earning, profit and optimum management item as the objectives using goal programming model. The benchmarks of all the goals are obtained by comparing the maximum and minimum values of the optimal values of these companies. The results of this study show that the goal programming model is able to generate the optimal solution for each company. Besides liability and earnings, all the goals have been attained by these companies upon analysis using goal programming. Possible refinement values particularly for liabilities for all the companies have been generated from this model to provide insights for these companies to benchmark for risk alleviation and strategic decision making.
•Application of the even tree method for an evaluation of the financial performance of power plants.•A method for granular assessment of the operation and maintenance costs of power plants and ...related financial consequences.•Improved estimation of the recoverable amount of power plants by assessing value-in-use.
Reliability and risk analyses in engineering have seldom been linked to financial analyses despite the significant role that risk assessment plays in the field of finance. Cash flow analyses for power plants typically do not account for contingent and successive events. Hence, the related financial assessments rarely incorporate a quantification of the adverse effects resulting from the combination of subsequent failures that could lead to extreme outcomes. The proposed approach aims to address this gap by employing the event tree method.
The novel contribution lies in introducing an event tree-based method that enables a granular evaluation of the financial performance of power plants and can serve as a foundation for the development of a variety of sensitivity and optimization analyses. The method enhances the accuracy of financial performance estimates by specifically targeting the assessment of operation and maintenance costs. The results show the importance of an improved assessment of the expenses related to equipment failures, which are approximately one-third of the revenue and add up to around 380,000 EUR for the lifespan of а photovoltaic plant with an installed capacity of 1 MW.
•Develop a novel approach called SEH that represents multi-carrier energy systems operating in the SG environments.•The optimum size of the important equipment of SEH such as transformers, ACHs, ...boilers, and CHP have been considered.•An RL method has been proposed to solve the optimization issue in this article, and also the problem is described as reward function, action space, and state space.•Three criteria as net present value (NPV), rate of return (ROR), and dynamic payback period (DPP) have been applied to approximate the efficiency of the project in the Discounted cash flow (DCF).•The residential customer as an SEH is considered to validate the proposed optimization approach.
Getting equipped by highly new smart technologies, Energy Hubs (EHs) and Smart Grids (SGs) are gaining interest these days. Energy management will advance over time as a result of the interaction impact among power and natural gas grids, and the use of smart technology for communications. The present study proposes a novel approach entitled Smart EH (SEH) for modeling multi-carrier energy systems in SG environments. Furthermore, this paper determines the optimum management and sizing of combined heat and power, auxiliary boiler, absorption chiller, as well as transformer unit as the essential components of an SEH. It is difficult to address the requirements of SGs with most conventional load scheduling algorithms because they lack robustness and performance in complex environments. An evaluation of the benefits and costs of optimizing such parameters was carried out in this paper and the Reinforcement Learning (RL) algorithm is applied to solve the optimization problem. An individual user in a dynamic electrical market was examined as an SEH in support of the suggested approach. According to simulation outcomes, the suggested method is effective regarding time efficiencies and load variations.
Natural language processing (NLP), or the pragmatic research perspective of computational linguistics, has become increasingly powerful due to data availability and various techniques developed in ...the past decade. This increasing capability makes it possible to capture sentiments more accurately and semantics in a more nuanced way. Naturally, many applications are starting to seek improvements by adopting cutting-edge NLP techniques. Financial forecasting is no exception. As a result, articles that leverage NLP techniques to predict financial markets are fast accumulating, gradually establishing the research field of natural language based financial forecasting (NLFF), or from the application perspective, stock market prediction. This review article clarifies the scope of NLFF research by ordering and structuring techniques and applications from related work. The survey also aims to increase the understanding of progress and hotspots in NLFF, and bring about discussions across many different disciplines.
Our objective is to penetrate the "black box" of sell-side financial analysts by providing new insights into the inputs analysts use and the incentives they face. We survey 365 analysts and conduct ...18 follow-up interviews covering a wide range of topics, including the inputs to analysts' earnings forecasts and stock recommendations, the value of their industry knowledge, the determinants of their compensation, the career benefits of Institutional Investor All-Star status, and the factors they consider indicative of high-quality earnings. One important finding is that private communication with management is a more useful input to analysts' earnings forecasts and stock recommendations than their own primary research, recent earnings performance, and recent 10-K and 10-Q reports. Another notable finding is that issuing earnings forecasts and stock recommendations that are well below the consensus often leads to an increase in analysts' credibility with their investing clients. We conduct cross-sectional analyses that highlight the impact of analyst and brokerage characteristics on analysts' inputs and incentives. Our findings are relevant to investors, managers, analysts, and academic researchers.
This paper is concerned with the existence of the solution to mixed-type non-linear fractional functional integral equations involving generalized proportional (κ,ϕ)-Riemann-Liouville along with ...Erdélyi-Kober fractional operators on a Banach space C(1,T) arising in biological population dynamics. The key findings of the article are based on theoretical concepts pertaining to the fractional calculus and the Hausdorff measure of non-compactness (MNC). To obtain this goal, we employ Darbo's fixed-point theorem (DFPT) in the Banach space. In addition, we provide two numerical examples to demonstrate the applicability of our findings to the theory of fractional integral equations.
PDF
