Yazar "Pandow, Bilal Ahmad" seçeneğine göre listele
Listeleniyor 1 - 3 / 3
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe Gender, entrepreneurship and socioeconomic reparation in Jammu & Kashmir(İstanbul Ticaret Üniversitesi, 2018) Pandow, Bilal Ahmad; Ashai, Salma Shabir; Hussain, GousiyaThe entrepreneurship growth is being recognized as a serviceable means of tackling Jammu and Kashmir’s [J&K] socioeconomic challenges of high unemployment, and unbalanced distribution of income. The unemployment rates revealed by National Sample Survey Office (NSSO) for the state presents a depressed image of the condition of women in the state. According to the NSSO employment position of females in urban areas are worse than that of men. The indicators were analyzed and found that the females in urban arears are unemployed and the rate is at 11.7 percent. And the same pointer for the unemployment rate for male population is hovering at 6.7 percent and the figure at all-India for the woman (urban) joblessness rate is at 7.9 percent. It is observed that existing policies overlook the gender as a potential input for addressing the grave issue. Despite this females have proven their mettle using their peculiar gender nature effectively and efficiently in small and micro business which calls for an immediate attention by the government towards promotion of women in entrepreneurship.Öğe Persistent performance of fund managers: an analysis of selection and timing skills(İstanbul Ticaret Üniversitesi, 2017) Pandow, Bilal AhmadThe persistence in manager’s ability to select stocks and to time risk factors is a vital issue for accessing the performance of any asset management company. The fund manager who comes out successful today, whether the same will be able to sustain the performance in the future is a matter of concern to the investors and other stake holders. More than the stock picking ability of fund managers, one would be interested in knowing whether there is consistency in selectivity and timing performance or not. If a fund manager is able to deliver better performance consistently i.e. quarter-after-quarter or year-after-year, then the mangers’ performance in selecting the right type of stocks for the portfolio would be considered satisfactory. This paper has attempted to analyze the persistence in both stock selection and timing performance of mutual fund managers in India through Henriksson & Morton; Jenson, and Fama’s model over a period of five years. It is found that the fund managers present persistence in selection skills however, the sample funds haven’t shown progressive timing skills in Indian context.Öğe Selectivity skills of mutual fund managers in India: an analysis(İstanbul Ticaret Üniversitesi, 2016) Pandow, Bilal AhmadStock selection is the nucleus in the investment management process. It involves identifying and selecting undervalued securities which among other things requires the successful forecasting of the company specific events or an ability to predict the general behavior of security prices in the future. If the fund manager is able to identify and select the undervalued securities for the portfolio, then it will be possible for the fund manager to increase the returns of the schemes and vice versa. In practice fund managers are expected to earn superior returns for unit holders consistently as being professionals therefore possess superior skills to collect and analyze the data with the purpose to select the right type of securities for the portfolio. The present work is based on the review of tens of studies both foreign and Indian studies relating to mutual funds. The mutual fund industry in India consists of public sector, private sector and foreign funds. All the three sectors were studied to compare the selectivity and timing performance on the basis of sponsorship of funds. However, from these only active funds belongings to Growth, Income, Balanced and Tax-Saving Schemes were selected for the study. In this paper stock selectivity skills of sample fund managers were tested by using Jensen’s Alpha and Fama’s net selectivity measure.