The stock market is constantly changing and sometimes the stock prices unaccountably plummet and surge. So, the stock market is recognized as a complex system and the change on the stock prices is unpredictable. Recen...
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ISBN:
(纸本)9781479962402
The stock market is constantly changing and sometimes the stock prices unaccountably plummet and surge. So, the stock market is recognized as a complex system and the change on the stock prices is unpredictable. Recently, many researchers try to understand the stock market as the network between individual stocks and to discover a hint about the change of the stock prices from big data being created in real time from Internet. We focus on the correlation among the stock market and human interaction with the Internet especially stock message board. By analyzing changes in the article volumes for stocks, we find that the correlation strength of between the article volume and the stock price has relevance to the stock return. We propose a new method for recommending stock portfolio base on the result of our analysis. According to the simulated investment test, the returns of our portfolio is about 1.82% per month which is about 0.85% and 1.48% higher than that of the Markowitz's efficient portfolio and that of the KOSPI average respectively. This study presents that collective human behavior on Internet stock message board helps to better understand the stock market.
In this paper, we analyze the correlation between the stock prices and the human interactions in Internet stock message board. To uncover this correlation, we analyzed the articles concerning with 380 target companies...
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This study investigates the intertemporal relationship between global volatility(VIX) and Korean financial *** consider the impact of VIX changes on financial markets(equity and exchange rate markets).In doing it so,u...
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This study investigates the intertemporal relationship between global volatility(VIX) and Korean financial *** consider the impact of VIX changes on financial markets(equity and exchange rate markets).In doing it so,utilizing the VAR model,we suppose that equity returns have a negative relationship with the VIX,but exchange rates have a positive relationship with the VIX.
This paper designs a rule-based complex event processing platform that processes rules for processing sensor data streams differently depending on the front, back, and sides of the naval vessel. The complex event proc...
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ISBN:
(数字)9781728108582
ISBN:
(纸本)9781728108599
This paper designs a rule-based complex event processing platform that processes rules for processing sensor data streams differently depending on the front, back, and sides of the naval vessel. The complex event processing platform supports event filtering rules, event capturing rules, continuous queries rules, and complex event processing rules. To support the high-performance rule-based complex event processing, our platform implements continuous query indexing, CEP index, and Rete algorithm.
作者：
Gina Hernez-Broome PhDUniversity of the RockiesGina Hernez-Broome
PhD is a core faculty member for the Organizational Leadership Program at the University of the Rockies. Prior to joining the university Gina spent 12 years at the Center for Creative Leadership where she was program manager for the Design and Delivery Faculty team designing and delivering leadership development and coaching programs and was lead researcher for the center's coaching research and evaluation efforts. Gina has published and presented on the topics of leadership development executive coaching employee engagement and organizational transformation in a variety of professional and scholarly venues such as the Society for Industrial and Organizational Psychology the Academy of Management the International Coaching Federation the International Leadership Association Human Resource Planning and Leadership Quarterly. Most recently she was editor for the book Advancing Executive Coaching: Setting the Course for Successful Leadership Coaching.
By Daniel Goleman New York: Bantam Dell, 2006. 403 pp. ISBN 978-0-553-38449-9. $14.00 Reviewed by Gina Hernez-Broome, PhD
By Daniel Goleman New York: Bantam Dell, 2006. 403 pp. ISBN 978-0-553-38449-9. $14.00 Reviewed by Gina Hernez-Broome, PhD
Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution...
Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 × 10) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.
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