nep-knm New Economics Papers
on Knowledge Management and Knowledge Economy
Issue of 2023‒09‒04
two papers chosen by
Laura Nicola-Gavrila, Centrul European de Studii Manageriale în Administrarea Afacerilor
  1. Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey By Liping Wang; Jiawei Li; Lifan Zhao; Zhizhuo Kou; Xiaohan Wang; Xinyi Zhu; Hao Wang; Yanyan Shen; Lei Chen
  2. Innovation and level of development in Morocco: Comparative analysis of innovation inputs and outputs according to the "Global Innovation Index" 2017 By Rhazi Zineb; Hefnaoui Ahmed
  1. By: Liping Wang; Jiawei Li; Lifan Zhao; Zhizhuo Kou; Xiaohan Wang; Xinyi Zhu; Hao Wang; Yanyan Shen; Lei Chen
    Abstract: Predicting stock prices presents a challenging research problem due to the inherent volatility and non-linear nature of the stock market. In recent years, knowledge-enhanced stock price prediction methods have shown groundbreaking results by utilizing external knowledge to understand the stock market. Despite the importance of these methods, there is a scarcity of scholarly works that systematically synthesize previous studies from the perspective of external knowledge types. Specifically, the external knowledge can be modeled in different data structures, which we group into non-graph-based formats and graph-based formats: 1) non-graph-based knowledge captures contextual information and multimedia descriptions specifically associated with an individual stock; 2) graph-based knowledge captures interconnected and interdependent information in the stock market. This survey paper aims to provide a systematic and comprehensive description of methods for acquiring external knowledge from various unstructured data sources and then incorporating it into stock price prediction models. We also explore fusion methods for combining external knowledge with historical price features. Moreover, this paper includes a compilation of relevant datasets and delves into potential future research directions in this domain.
    Date: 2023–08
    URL: http://d.repec.org/n?u=RePEc:arx:papers:2308.04947&r=knm
  2. By: Rhazi Zineb (doctorante chercheuse en sciences économiques et de gestion à la faculté des sciences juridiques, économiques et sociales de Mohammedia); Hefnaoui Ahmed (Professeur de l’enseignement supérieur à l’université Hassan II, faculté des sciences juridiques, économiques et sociales de Mohammedia)
    Abstract: This exploratory study aims to determine the link between innovation and economic development in different types of countries, and Morocco in particular, based on the Global Innovation Index. The main objective is to identify the impact of innovation on Morocco's economic development, focusing on its global positioning in terms of innovation according to the 2017 Global Innovation Index, and then to compare it to a sample of countries. To achieve this, on the one hand a principal component analysis has been carried out, and on the other, a linear regression is run to demonstrate the link between innovation and economic development. The development of this econometric model is determined by linking the level of development with measures of innovation, geography and trade openness. The results obtained from the two analyses show a strong positive relationship between level of development and innovation. The study's conclusions endorse the quadratic relationship between development and innovation capacity, with an average level of innovation in Morocco.
    Abstract: Cette étude, à but exploratoire vise à déterminer le lien entre l'innovation et le développement économique des différents types de pays et précisément le Maroc en se basant sur le « Global Innovation Index». L'objectif principal est d'identifier l'impact de l'innovation sur le développement économique du Maroc en mettant l'accent sur son positionnement au niveau mondial en matière d'innovation selon l'indice global de l'innovation 2017 et à le comparé ensuite, à un échantillon de pays. Pour ce faire, d'une part une analyse en composante principale a été effectuée et d'autre part, une régression linaire est menée pour démontrer le lien existant entre l'innovation et le développement économique. L'élaboration de ce modèle économétrique est déterminée par le fait de mettre en relation le niveau de développement avec des mesures de l'innovation, de la géographie et de l'ouverture commerciale. Les résultats obtenus des deux analyses, montrent l'existence d'une forte relation positive entre le niveau de développement et l'innovation. Les conclusions de l'étude approuvent le lien quadratique du développement et de les capacités d'innovation avec un caractère moyen du niveau d'innovation au Maroc.
    Keywords: Innovation, Economic development, GII Innovation Indicator, economic growth, ACP ., Développement économique, Indicateur de l’innovation GII, croissance économique, ACP.
    Date: 2023
    URL: http://d.repec.org/n?u=RePEc:hal:journl:hal-04162755&r=knm
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