Review of economic bubbles

© 2016 Elsevier Ltd. All rights reserved. This paper investigates the history of economic bubbles and attempts to identify whether there are direct correlations between different bubbles. To support this research, literature has been consulted on historical and recent bubbles, theories surrounding speculation, the market for venture capital, and bubbles in the technology sector. By analysing a range of bubbles, rather than just those in the technology sector, general bubble-principles are also identified. All the economic bubbles are classified under "uncontrolled risk" and a recommended method that can detect and analyse full impacts by uncontrolled risk will be presented, together with future directions to be discussed

Konkurentsikeskkonna analüüs Eesti arhitektuurse visualiseerimise turul

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A Historical Investigation of the Catalysts and Drivers of Asset Price Bubbles

This paper evaluates the catalysts and drivers of speculative bubbles from a historical perspective. This analysis aims to identify the indicators of speculative bubbles that are commonly present across historical and modern economic bubbles, and to evaluate whether these indicators are present in potential bubble-forming economies. The first section focuses on the theoretical framework of bubble formation under the following dominating theories: self-fulfilling expectation theory, Greater Fool Theory and the Positive Feedback Approach. The first section is followed by a detailed narration of historical bubbles which highlight the factors that contribute to the creation, propagation and bursting of asset bubbles. Next, these historical cases are compared in order to determine the key catalysts and drivers of bubble formation. Based on the qualitative analysis of bubble formation, the relationship between present price change, fundamentals and past price behavior is tested using a pooled regression technique. Concluding remarks will discuss the overall implications of this analysis and provide details of potential future research

Complexity in Economic and Social Systems

There is no term that better describes the essential features of human society than complexity. On various levels, from the decision-making processes of individuals, through to the interactions between individuals leading to the spontaneous formation of groups and social hierarchies, up to the collective, herding processes that reshape whole societies, all these features share the property of irreducibility, i.e., they require a holistic, multi-level approach formed by researchers from different disciplines. This Special Issue aims to collect research studies that, by exploiting the latest advances in physics, economics, complex networks, and data science, make a step towards understanding these economic and social systems. The majority of submissions are devoted to financial market analysis and modeling, including the stock and cryptocurrency markets in the COVID-19 pandemic, systemic risk quantification and control, wealth condensation, the innovation-related performance of companies, and more. Looking more at societies, there are papers that deal with regional development, land speculation, and the-fake news-fighting strategies, the issues which are of central interest in contemporary society. On top of this, one of the contributions proposes a new, improved complexity measure

Habilidades del equipo de ciencia de datos en la empresa moderna

En esta investigación se presentan postulados que diversos autores exponen sobre las habilidades del equipo de ciencia de datos en la empresa moderna; por ello, es importante conocer los antecedentes de la ciencia de datos, sus características relevantes, las habilidades blandas y técnicas del científico de datos, y la productividad científica que aporta a las organizaciones y sociedad, a fin de entender cómo esta ciencia contribuye a la mejora de las relaciones en el nivel empresarial y social. El trabajo se divide en seis partes: en primer lugar, se presenta de manera detallada cuál ha sido el método de investigación utilizado para recopilar la información. En el segundo apartado, se aborda los puntos relacionados a la ciencia de datos. El tercer apartado describe los rasgos que componen al denominado científico de datos: sus roles y funciones. En cuarto lugar, se presenta a la empresa moderna como el principal receptor de la denominada 4a Revolución Industrial. El quinto apartado se muestran los análisis y resultados de la presente investigación. Por último, en sexto lugar, se expone las conclusiones a las que se han arribado luego de reflexiones y debates, tanto individuales como grupales.In this work, postulates that various authors expose about the skills of the data science team in modern companies are presented. Therefore, it is important to know the background of data science, its relevant characteristics, soft and technical skills of the data scientist and the scientific productivity it brings to organizations and society, to understand how this science contributes to the improvement of relationships at the business and social level. This work is divided into six parts. In the first place, the research method used to collect the work information is presented in detail. In the second section, the points related to data science are addressed. The third section describes the traits that make up the so-called data scientist: their roles and functions. Fourth, the modern company is presented as the main recipient of the so-called 4th Industrial Revolution. The fifth section shows the analysis and results of our research are presented. Finally, in sixth place, exposes the conclusions reached after reflections and debates, both individual and group.Trabajo de Suficiencia Profesiona