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Correlation is a statistical measure that helps in determining the extent of the relationship between two or more variables or factors.
correlation, data analysis and conclusion, data testing with spss, empirical analysis with econometrics, result interpretation, spss intermediate, spss procedureE- Views offer an impressive toolkit that involves the series or the group of series that allows estimating panel data analysis ranging from the simplest to the complex types. Performing data analysis in E-views is easier to understand as all the necessary statistical modelling can be performed by estimating the regression equation.
eviews, qualitative analysisMomentum analysis is mainly done to measure the rate of rising or fall in stock prices. It is a method to show the trend of daily stocks and prices over time.
financial data analysis, stock market analysisThere different instruments to collect primary data and the most widely used is the questionnaire in a survey method. Correlation and regression tests are two of the basic statistical tools that are widely applied to analyze data.
developing questionnaire, research methodologyBiomarker discovery starts with a small number of samples in the form of preclinical exploratory studies to identify promising biomarkers form a pool of diseased and non-diseased groups.
Importance of Molecular Biomarkers in Non-communicable diseasesThis article of the module explains how to perform panel data analysis using STATA. In the case of panel data, the observations are present in time and space dimensions. For instance, a survey of the same cross-sectional unit such as firm, country or state over time.
empirical analysis with econometrics, panel data analysis, panel data regression in STATAThe previous article showed how to initiate the AutoRegressive Conditional Heteroskedasticity (ARCH) model on a financial stock return time series for period 1990 to 2016. It showed results for stationarity, volatility, normality and autocorrelation on a differenced log of stock returns.
STATA for data analysis, time series analysisVolatility only represents a high variability in a series over time.This article explains the issue of volatility in data using Autoregressive Conditional Heteroscedasticity (ARCH) model. It will identify the ARCH effect in a given time series in STATA.
empirical analysis with econometrics, STATA for data analysis, time series analysis, time series for econometrics