scholarly journals Innovative Empirical Model for Predicting National Banks’ Financial Failure with Artificial Intelligence Subset Data Analysis in the United States

2020 ◽  
Author(s):  
Karina Kasztelnik
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
Data Analysis ◽  
Empirical Model ◽  
The United States ◽  
Financial Failure

scholarly journals Innovative Empirical Model for Predicting National Banks’ Financial Failure with Artificial Intelligence Subset Data Analysis in the United States

2020 ◽  
Vol 3 (1) ◽  
pp. 98-111
Author(s):  
Karina Kasztelnik
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
Machine Learning ◽  
Empirical Model ◽  
The United States ◽  
Dividend Yield ◽  
Return On Equity ◽  
Financial Failure ◽  
Stock Value ◽  
The Impact

AbstractThe principal objective of this research study was to investigate the impact of the Great Economic Recession of 2008 on national banks’ equity investment valuations and create an empirical model for predicting national banks’ financial failure in the United States. The focal period of the study was from 2009 to 2012, and public data sources used. It is not known to what extent national banks’ stock value investments are based on the return on equity. This causal-comparative study explores the degree to which national banks’ value investment in terms of the price to earnings ratio impacts their return on equity and the extent to which these banks’ stock value investment in terms of dividend yield impacts their return on equity. We used statistical modeling and the machine learning model to find hidden patterns in the input data. The principal finding of this research is that the median earnings per share in 2012 and the dividend yield in 2009 were significantly larger than the median return on equity in 2009 and 2012. Additionally, the dividend yield in 2012 was significantly smaller than the median return on equity in 2012. These findings can contribute to improving our understanding of how banks can predict financial failure using the new machine learning features of artificial intelligence to build an early warning system with the innovative risk measurement tool.

Global Power Shift

2017 ◽  
Author(s):  
Roberts Cynthia ◽  
Leslie Armijo ◽  
Saori Katada
Keyword(s):  
United States ◽  
South Africa ◽  
Data Analysis ◽  
The United States ◽  
Rising Powers ◽  
Extensive Data ◽  
Power Shift ◽  
Multiple Dimensions ◽  
Global Power ◽  
Rise Of China

This chapter evaluates multiple dimensions of the global power shift from the incumbent G5/G7 powers to the rising powers, especially the members of the BRICS (Brazil, Russia, India, China, and South Africa). Taking note of alternative conceptualizations of interstate “power,” the text maps the redistribution of economic capabilities from the G7 to the BRICS, most particularly the relative rise of China and decline of Japan, and especially Europe. Given these clear trends in measurable material capabilities, the BRICS have obtained considerable autonomy from outside pressures. Although the BRICS’ economic, financial, and monetary capabilities remain uneven, their relative positions have improved steadily. Via extensive data analysis, the chapter finds that whether one examines China alone or the BRICS as a group, BRICS members have achieved the necessary capabilities to challenge the global economic and financial leadership of the currently dominant powers, perhaps even the United States one day.

The ideological divide in public perceptions of self-driving cars

2020 ◽  
Vol 29 (4) ◽  
pp. 436-451
Author(s):  
Yilang Peng
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
Scientific Literacy ◽  
Autonomous Vehicles ◽  
The United States ◽  
Public Perceptions ◽  
New Information ◽  
Nationally Representative ◽  
Self Driving Cars ◽  
Social Conservatism

Applications in artificial intelligence such as self-driving cars may profoundly transform our society, yet emerging technologies are frequently faced with suspicion or even hostility. Meanwhile, public opinions about scientific issues are increasingly polarized along the ideological line. By analyzing a nationally representative panel in the United States, we reveal an emerging ideological divide in public reactions to self-driving cars. Compared with liberals and Democrats, conservatives and Republicans express more concern about autonomous vehicles and more support for restrictively regulating autonomous vehicles. This ideological gap is largely driven by social conservatism. Moreover, both familiarity with driverless vehicles and scientific literacy reduce respondents’ concerns over driverless vehicles and support for regulation policies. Still, the effects of familiarity and scientific literacy are weaker among social conservatives, indicating that people may assimilate new information in a biased manner that promotes their worldviews.

scholarly journals Rising Sino-U.S. Competition in Artificial Intelligence

2018 ◽  
Vol 04 (02) ◽  
pp. 241-258 ◽  
Author(s):  
You Wang ◽  
Dingding Chen
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
The United States ◽  
Cutting Edge ◽  
The Other ◽  
Strategic Competition ◽  
Bilateral Relations ◽  
The Future ◽  
Important Field ◽  
Political Security

Both China and the United States are international leaders in artificial intelligence (AI). Although there remains a significant gap between them in cutting-edge technologies, and they have adopted different methods of planning and implementation, both countries have been mobilizing national resources and formulating policies to promote AI development, so as to achieve a strategic advantage over the other, especially against the backdrop of ever more intense and complicated strategic competition between them in recent years. As an epitome of their changing relationship, Sino-U.S. competition in AI development is manifested in economic, political, security, technological and other fields. It is expected that artificial intelligence will become an even more important field of competition between China and the United States, and that the trends of AI development and competition will to some extent determine the future dynamics of their bilateral relations.

scholarly journals The Arab Spring and the Egypt-United States of America’s Relations in Post-Revolution Era

2021 ◽  
Vol 29 (1) ◽  
Author(s):  
Hossein Taghdar ◽  
Zaid Ahmad ◽  
Abdolreza Alami
Keyword(s):  
United States ◽  
Data Analysis ◽  
Arab Spring ◽  
Qualitative Content Analysis ◽  
The United States ◽  
Main Approach ◽  
The Arab Spring ◽  
Administrative Elites ◽  
The Relationship ◽  
Aid Policy

Egypt has experienced drastic changes in government recently. Studying these changes can lead to more understanding of the revolutions caused by the Arab Spring in other countries and can also explain the hegemonic conduct of the United States. This qualitative study was conducted through 1) reviewing scholarly published documents and other relevant official news resources that were published on the relationship between Egypt and the United States after the 2011 revolution, and 2) interviewing 12 key informants (ethnic, academic, and administrative elites). Qualitative content analysis was the main approach to data analysis. The results with a focus on both Obama’s administration and Trumps’ administration revealed that Egypt and the United States relations were affected due to Egypt’s anti-western agenda. Later, the United States’ main strategies in maintaining its hegemony in Egypt were discussed. Among these factors, 1) the United States’ aid policy, 2) the United States’ tolerance policy, 3) aborting FJP, 4) imposing the western culture, and 4) the United States’ support of street protests can be mentioned. Areas for further research are discussed at the end of the study.

scholarly journals PROSES PENYUNTINGAN BERITA PADA PERUSAHAAN JAWATAN TELEVISI REPUBLIK INDONESIA (TVRI) BENGKULU

2015 ◽  
Vol 1 (1) ◽  
Author(s):  
Sapta Sari
Keyword(s):  
United States ◽  
Data Analysis ◽  
Television News ◽  
The United States ◽  
Delivery Technique ◽  
Qualitative Descriptive ◽  
Descriptive Approach ◽  
Editing Process ◽  
Movie Camera

In  line  with  times,  television  news  center  has  been  equipped  with  a  variety  of sophisticated tools, such as the ones used in the production and editing process of the Company Bureau (PERJAN) TVRI Bengkulu. Some of the tools used were: ENG (Electronic News Gathering), a large movie camera (Sound On Film) electronic editing tools, broadcasting space, VTR space, and various other supporting tools that are used to improve the quality of broadcasting. In this research, researchers used a qualitative descriptive approach by interview, observation and documentation, followed by data analysis. The result of this research found that the process of delivering news on TVRI Bengkulu, particularly on program Bengkulu dalam Berita, has been carried out by adjusting the news delivery technique through two ways: ie the way the British were serious and formal and casual events of the United States. Both methods have been implemented in the event of this program.Keywords: editing process, news 

scholarly journals China’s AI experience: industrial digitalization

2020 ◽  
Vol 28 (3) ◽  
pp. 536-546
Author(s):  
Marina S. Reshetnikova
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
Global Economy ◽  
The United States ◽  
High Tech ◽  
Global Innovation ◽  
Innovative Products ◽  
Fundamental Research ◽  
The Moment

The rapid acceleration of scientific and technological progress, which started at the beginning of the 21st century, has become a decisive factor in influencing the global economy. Who will lead the global innovation race? This problem is especially relevant in the field of artificial intelligence (AI). At the moment, the United States and China are the main participants in the battle for dominance in this area. The author assesses Chinas innovative potential in the field of AI and identifies its achievements in this area. Based on the statistics provided, Chinas AI leadership has reached a critical point. China is confidently leading the new fundamental research of artificial intelligence, forming its theoretical base and applied research and development, which will contribute to the creation of new high-tech innovative products and services. However, in terms of the number and quality of AI specialists (AI Talents) and the number of companies engaged in AI, China is still lagging behind its main rival, namely the United States. The author proved that, despite the obvious successes of China, the United States still has an equal lead in the global innovation race.

scholarly journals Indonesian Policy in Ratifying The 2015 Paris Agreement

2019 ◽  
Vol 21 (1) ◽  
pp. 70
Author(s):  
Haekal - Siraj
Keyword(s):  
Climate Change ◽  
United States ◽  
Data Analysis ◽  
Forest Degradation ◽  
The United States ◽  
Paris Agreement ◽  
Financial Assistance ◽  
Analysis Techniques ◽  
Secondary Sources ◽  
The World

 The 2015 Paris Agreement requires all participating countries to reduce emisson level. Indonesia as Non-Annex I accepted the norms of the 2015 Paris Agreement by ratifying this agreement. Meanwhile, Indonesia's emissions level continues to increase due to the rate of deforestation and forest degradation in Indonesia which ranks highest in the world. This study aims to analyze Indonesian policy in ratifying the agreement by using the Constructivism Perspective in explaining the International Regime and the Concept of Norm Influence by Finnemore and Sikkink. The study uses qualitative methods with explanatory designs. Data collection techniques are sourced from secondary sources as well as data analysis techniques carried out by reduction, presentation, and drawing conclusions as well as verification. This study found that the United States as a hegemonic state acting as the norm entrepreneurs by granting climate change financial assistance of $500 million through the GCF for Indonesia as a developing country was a condition affecting Indonesia in ratifying the agreement. Keywords: Indonesia, ratify, 2015 Paris Agreement, norm, climate change.

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