Volume 6 | Issue 2 |

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Responsible finance, Microfinance, MFIs, MFIN, financial regulations.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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customer satisfaction, environment of bank, interaction with customers, differentiation in services, products and services, access of services and availability of services.

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Creative Commons Attribution 4.0 and The Open Definition

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The paper deals with is a macro level study and it is descriptive study in nature, based on secondary data collected from the published and unpublished records secondary records , reports and contributions of several institutions, organizations and individuals in India. Specifically, the secondary sources include Annual Reports of UGC, Planning Commission, Education Department of Ministry of Human Resource Development, Economic Survey and other journals, books and websites

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Creative Commons Attribution 4.0 and The Open Definition

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Changing Role of Teacher, challenges faced by teachers

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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UST OMERS BEHAVIOUR, ONLINE SHOPPING, BEHAVIOUR REGARDING ONLINE SHOPPING

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Goods and service tax, economic development, Indian economy and value added tax.

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Creative Commons Attribution 4.0 and The Open Definition

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The objective of this research study is to predict the most contributory factor which affects the spiking performance of south Gujarat players. twenty male spikers in volleyball from south Gujarat region were selected as subjects, these twenty spikers were sorted from nearly thirty spikers by the panel of three experts who have judge them during competition and practice sessions. These twenty male spikers were mainly district players who represents state as well as university. Hence the data for Physical variables selected for the study were taken at the level of 0.05 significance. The multiple correlation was applied to find out the combine contribution of Physical variables to spiking in volleyball. Multiple regression equation was developed In order to predict the most contributory factor towards spiking in volleyball for Physical variables. In all cases 0.05 level was fixed to test the hypothesis of this study. It has been observed that the contributory physical variables which affects spiking performance were back strength, arm-shoulder strength, leg strength, speed, agility and spine flexibility.

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Creative Commons Attribution 4.0 and The Open Definition

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Predictive Physical Variables, Spiking in Volleyball, Volleyball Players

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Creative Commons Attribution 4.0 and The Open Definition

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The study endeavours to analysis fundamental position of major listed FMCG companies using ratios. Fundamental analysis, the share price of a company is determined by all the fundamental factors. The purpose of study is HUL, ITC, NESTLE, DABUR, and P & G. were chosen, to analysis was done using past three year computed date of Net Profit Margin Ratio, Gross profit margin, Price to Earnings, Debt to equity ratio, Dividend payout ratio, Earnings per share starting April 2016 to March 2018.This study provides a precise presentation of data and guidelines that will help a fresh investor as well as a venture investor to know vital aspects of investing. This study helps to the investors to choose a safe investment and to identify the growth opportunities in the future.

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Fundamental analysis, Investment, Ratio analysis.

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Creative Commons Attribution 4.0 and The Open Definition

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Every organization and even every country around the globe is confronting a serious issue which is termed as stress. Job stress is a chronic disease caused by conditions in the workplace that negatively affect an individual`s performance and overall well-being of his body and mind. The job of insurance agent is very tough in this competitive environment. Normal stress for an insurance agent involves meeting prospects, selling, and managing your business. Each of these functions require self-imposed deadlines, quality expectations and performance expectations. In this paper researcher has tries to identify to identify the causes for stress among marketing executives at insurance sector in Surat City and to study the impact of stress on their physical, mental, and behavioral pattern. Total 220 marketing executives working at Insurance sector was selected for research purpose. Primary data was collected and descriptive research design was used. Likert scale questionnaire was used for data collection. Convenience sampling method was used to collect data. It was found that level is moderate among the sales executive of insurance sector in Surat city as the values for each statements related causes of stress yield in the range of 2.84 to 3.83 on a scale of 5.

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Creative Commons Attribution 4.0 and The Open Definition

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Causes of stress, impact of stress, marketing executives

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Students’ Knowledge and Perception towards the Newly Implemented Goods and Services Tax (GST) in Surat City

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Creative Commons Attribution 4.0 and The Open Definition

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Goods and Services Tax (GST), Awareness, Knowledge , Perception

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Creative Commons Attribution 4.0 and The Open Definition

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This research paper aims to investigate the existence of Day Effect in NSE Index the Monthly Effect, year effect and test of Holiday Effect for the NSE. The present study aims to carry out the evaluation of anomalies and its effect on the average returns during the period from 1st January, 2009 to 31st December 2016. Daily closing price of NSE Index is selected. Secondary data collected from various published records are systematically arranged, classified, tabulated, analyzed and interpreted by using appropriate statistical tools and techniques. The descriptive statistics are calculated of daily return of separate month, like mean, standard deviation. Nonparametric Test was used whether the difference is statistically significant or not. A market anomaly is any event or time period that can be used to produce abnormal profits on stock markets. Stock market anomalies occur on multiple equities and Stock market indices across the world. These Calendar Effects are trends seen in stock returns, where the returns tend to high or low on a particular day or month as compared to the mean. They are called Anomalies because they cannot be explained by traditional asset pricing models and they violate the weak-form of market efficiency.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Anomaly, Indian market, Day Effect, Month Effect, Holiday Effect

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Creative Commons Attribution 4.0 and The Open Definition