A Study on Stock Co-Movement’s Analysis of Select Bank and IT Company Stocks

The risk of a portfolio depends on the co- movement between the security returns forming the portfolio. The coefficient of correlation is an important measure for studying co movement between securities. Banking and IT company’s shares represent sizable share of market portfolio of common investors. In this perspective the present study has been undertaken to help small retail investors who commonly invest in these two major sectors to understand the co movement of returns among Banking and IT industry stocks. This study covers correlation co movement calculation between selected four Banking shares and four IT companies’ shares for a period from 16th June 2014 to 15th June 2015. The correlation between banking shares are more positive compared to correlation between IT company shares. This implies that the banking stocks return more or less move in the same direction. The correlation between Banking and IT Company stocks are either zero or negative which implies that these two sectors shares are not related or move in the opposite direction in terms of return. This implies that banking and IT industry shares are good combinations for portfolio construction which substantially reduces the risk of that particular portfolio

Optimal Sizing of Energy Storage Systems for Industrial Production Plants.

Part 1: Knowledge-Based SustainabilityInternational audienceMost developed countries around the world are seriously concerned about recent global warming, the depletion of fossil fuels and environmental degradation. So as to meet the environmental burden reduction targets set by different international agreements, manufacturing companies are seriously encouraged to invest considerable efforts in the field of energy. Energy storage systems (ESS) have the potential to revolutionize the way in which electrical power grids are designed and operated. Presently, power grids require that the generation of electricity continuously balance the demand. The constant balancing of supply and demand has significant operational and cost implications. Incorporation of storage devices into the grid should reduce this constraint by enabling electrical energy to be withdrawn from the grid when there is excess generation and held in reserve until needed. In this work we consider stationary applications with medium discharge time (minutes to hours), thus batteries have been considered. The object is to find the optimal sizing of the energy storage device (i.e. batteries) with which it is possible to minimize the cost of energy in a production plant