Primary School
Sorroken Public School
Trembo, Grand Kru County, Liberia
1984-1989
Experienced in Data Processing, Data Cleaning, Data Analysis and statistical analysis. .
Full experience with next generation data analysis.
Highly skilled in R, MATLAB, Stata, Python, SPSS
M.S.C. in Statistics and Probability
Shanghai, China
2013
Thesis: Study of the Stock Market Cross-correlation with Cross Sample Entropy
B.Sc. in Mathematics and Physics
Monrovia, Liberia
2007
Diploma, Division II WAEC Certificate
Monrovia, Liberia
1997-1998
ADDRA, Tabou-2 High School
Tabou, Ivory Coast
1993- 1997
J.S. Pratt United Methodist School
Maryland Avenue, Harper City, Maryland County, Liberia
1990-1992
Sorroken Public School
Trembo, Grand Kru County, Liberia
1984-1989
East China University of Science and Technology
Shanghai, China
2010 - 2013
We employ the Cross-sample entropy method to investigate the development of cross correlations among international equity returns at the market and industry level over the period 2004-2011.
The Global Financial Crisis of 2007-2009 was used as a case study. We explored daily data from eight market indices in Mainland China, Hong Kong, Germany, Japan, Taiwan, the UK, and the USA for a period from 2004 to 2011. We also computed cross correlations between each two of the eight selected stocks from the eight sectors (Basic Materials, Financials, Health Care, Technology, Consumer Goods, Industrial Goods, Services, and Conglomerates) of the Dow Jones Industrial Average.
Found that the cross-SampEn of the market indices became lower after the global financial crisis indicating a lower asynchrony (meaning got correlated after the crisis).
Found that every two stocks indices returns series based on the stocks arrangement (i.e. stocks selected based on closest relationships) became higher after the global financial crisis, indicating a higher asynchrony(meaning less correlated after the crisis), while on the other hand, for the stocks indices based on least close relationships) became lower after the global financial crisis, indicating a higher asynchrony(meaning got correlated after the crisis)
Comparing the correlation coefficient and the cross-SampEn, we further found that the cross-SampEn is superior in describing the correlation between time series and thereby providing an alternative and promising method for the demonstration of correlations among time series. The results further showed that there were still weakly correlated markets and the influence of the Crisis differed from country to country.
Served as Associate Vice President for Enrollment Services at the University of Liberia
Monrovia, Liberia
2017 - 2019
Served as Executive Director for Testing and Evaluation at the University of Liberia(UL).
Monrovia, Liberia
2019 - to present
Served as Director for Data Analysis and Content Development at the Liberia Institute for Statistics and Geo-Information Services(LISGIS).
Capitol Hill, Monrovia, Liberia
2018 - 2021
Served as Senior Statistician at the Liberia Institute for Statistics and Geo-Information Services,LISGIS
Monrovia, Liberia
2013 - 2017
Served as Senior Statistician on the LISGIS Team at the National Ebola Command Center.
18th Street Sinkor, Monrovia, Liberia
2014
Instructor of R, MATLAB and Statistics Courses at the University of Liberia.
Monrovia, Liberia
2013 - 2019
Instructor of R, MATLAB and Statistics Courses at the Stella Maris Polytechnic University.
Monrovia, Liberia
2013 - 2017
Instructor of Statistics at the Kofi Annan Institute for Conflict Transformation,University of Liberia Graduate School
Monrovia, Liberia
2015 - to present
https://cdmd.cnki.com.cn/Article/CDMD-10251-1013155737.htm
2013
Moses S.E. Hinneh, Jr.