A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Malhotra, Priya
- Good Governance and Corporate Governance
Authors
1 Banarasi Das Chandi Wala Institute of Professional Studies, Delhi, IN
2 Sri Ram College of Commerce, Delhi University, Delhi, IN
Source
International Journal of Innovative Research and Development, Vol 6, No 1 (2017), Pagination: 66-70Abstract
The relevance of good governance and spiritual transformation has increased manifold owing to increasing competition among the corporate. The corporate in mad race to maximize profits, have turned into profit churning machines. This has an adverse impact upon the society and the employees of the organization. The recent data from various agencies like Ministry of Corporate Affairs, Ministry of Environment reveal the increasing number of legislations against violation of the environmental and governance norms by the corporate.
The newer emerging regulations have given rise to a “Prisoners’ Dilemma”. If the corporate cooperate and comply with the existing regulations pertaining to social welfare, they get incentivized in form of tax sops and increase in brand value. If they don’t cooperate, they are penalized heavily.
This paper is aimed at analyzing the various factors such as the payment mechanism and group incentive plans, the principal – agency problem arising due to delegation of decision making to managers as the reason for increasing violation of norms and deterioration in governance levels. We intend to do a chi square based hypothesis testing on compliance and good governance for the corporate. The secondary data was collected on whether the corporate has a sustainability policy, number of Corporate Social Responsibility initiatives, number of independent directors, number of women directors, number of litigations if any in the past, amount spend on Corporate Social Responsibility, awards and accolades won by the organization.
More data was collected from Ernst n Young IACC report on Corporate Social Responsibility and KPMG report on CSR (Corporate Social Responsibility). This data collected was further analyzed using Chi square testing and coefficient of determination.
This paper aims to deploy descriptive research to analyze the extent of corporate compliance with Corporate Social Responsibility regulations and its impact on shareholders wealth maximization.
Full Text
- Forecasting Fund Flows in Indian Equity Mutual Funds Market using Time Series Analysis: An Empirical Investigation
Authors
1 Ph.D. Research Scholar, Faculty of Management Studies, University of Delhi, Delhi-110007, IN
2 Professor, Faculty of Management Studies, University of Delhi, Delhi-110007, IN
Source
Journal of Business Thought, Vol 12, No 0 (2021), Pagination: 1-17Abstract
Mutual Funds are the second most preferred financial investment option in India amongst households, corporate and private investors alike. Managed funds bring with them the expertise of fund managers along with the benefits of diversification and lower costs. The sensitivity of fund flows defines the ability of the fund manager in offering expected future returns. Mutual fund flows exhibit time series characteristics, it being financial data collected at regular intervals over a time period. This paper studies the dynamics of mutual fund flows by utilising time series regression modelling. Monthly fund flows data for a sample of 142 equity open-ended growth orientation across major marketcap categories – Large Cap, Large and Mid Cap, Multi Cap, Mid Cap, and Small Cap have been analysed using ARIMA Modelling in the R software package. Appropriate lag length and the presence of a unit ischolar_main have been investigated with the help of established techniques coupled with suitable checks of robustness. Model of best fit has been used to forecast monthly fund flows for a lag length of 60. Our study leads us to two major outcomes. One, unlike many developed and emerging markets, fund flows in the chosen sample do not confirm to positive feedback trading hypothesis. This lends credible support to the absence of irrational exuberance in mutual fund investments. Second, equity-based funds in Large Cap, Large and Mid Cap, and Multi Cap category exhibit strong trend component while funds in Mid Cap and Small Cap category have a strong random component. Beginner investors can take advantage of alpha offered by fund managers possessing effective market -timing skills, an indicator of trend-investing strategy. Funds belonging to these categories are also lesser prone to market volatility in comparison to Mid Cap and Small Cap funds, being more suitable for experienced investors.Keywords
Fund Flows, Feedback-Trading, Time Series, ARIMA Modelling, Forecasting.
JEL classification: C23, G12, G23
Full Text
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