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Among the technical analysis method of forecasting, ARIMA model is considered a flexible statistical method of examining the behaviour of stocks and capturing the different types of data in one model.
financial data analysis, stock market analysis, stock trend forecastingAutoregressive Integrated Moving Average (ARIMA) is the statistical tool with a standard structure which though is simpler but provides skillful information about the stock market.
stock categorization, stock market analysis, stock market page intro, time series analysis, trend analysisThe study aims in understanding dynamism in the Indian stock market and formulating a model to analyze the dynamic behavior of investors. To this effect, investment in three different stocks i.e. income, growth, and value are studied.
financial data analysis, stock market analysis, stock performanceThere are different types of quantitative research such as survey research, descriptive research, experimental research, and causal-comparative research.
quantitative analysis, research methodologyA multicollinearity test helps to diagnose the presence of multicollinearity in a model. Multicollinearity refers to a state wherein there exists inter-association or inter-relation between two or more independent variables.
correlation, research methodologyData scientists strictly prefer to test normality and work on normally distributed data because of its benefits.
research methodology, research reliabilityStationarity in stationarity test is a property of time series which states that the value of the variable doesn’t change with time.
research data analysis, stationarity testThe aim of this article is to determine the impact of product characteristics on the online shopping behaviour of generation Z and millennials. The conceptual framework framed through literature review identified four main factors affecting online shopping decisions.
online shopping