The annualized average returns is the value of returns earned by investors annually by investing in a stock. A higher annualized average returns value than the market return indicates a secure investment for investors.
financial data analysis, stock market analysis, stock performance
This article identifies the forecast model for value stocks for 303 stocks listed in the Bombay Stock Exchange for the period 2000-2020.
financial data analysis, stock market analysis, stock trend forecasting
Investors deal with uncertainties in the stock market in order to optimize financial returns. This includes forecasting stock prices and stock market trends. This article uses ARIMA to predict the movement of income stocks.
financial data analysis, stock market analysis, stock trend forecasting
In order to analyze the customer lifecycle in a business, it is important to measure key performance indicators (KPIs).
crm, customer satisfaction, online shopping, supply chain management
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 forecasting
Momentum hybrid performance helps an investor assess how to combine different types of stocks to optimise their return on investment.
financial data analysis, literature survey, momentum based analysis, stock market analysis
Open the job from the job list by clicking on the job number, to which you want to submit your work. In your job scroll down and look for tasks & deliveries. Here you will find a pending task with an upload button. Click the upload button to select your file from your computer and […]
freelancer, job delivery, job list
Momentum analysis and medium-term momentum analysis refers to the process of examining the past performance of the stocks for a specified period in order to make sound investment decisions.
financial data analysis, stock market analysis, stock performance