Investors or traders perception on equity derivatives

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EJMCM Volume 7 Issue 6 Pages 2728-2733

Hypothesis of the study
Data Analysis and Interpretation Investors Gender and Investors Perception 100
Chi-Square Tests

Statistical Software
In the lookup study, MS Excel, SPSS 20.0 and AMOS 20.0 are used for the cause of information analysis. MS Excel is a spreadsheet developed through Microsoft for calculations, graphing equipment and different programming. IBM SPSS (Statistical Package for Social Sciences) is predictive analytics software program affords superior methods for effortless calculations, graphical representations, increased effectivity and to minimizing risks. IBM AMOS is used as it is one of the most broadly used software program for SEM analysis. Structural Equation Modelling (SEM) is used to examine information the use of a number of goodness-offit and badness-of-fit indices.

Hypothesis of the study
1. Investors' Gender and Investors' Perception
2. Occupation and Investors' Perception
3. Educational Qualification and Investors' Perception
4. Marital Status and Investors' Perception
5. Investors' Monthly Income and Their Perception

Data Analysis and Interpretation
Investors' Gender and Investors' Perception
100
To apprehend whether or not the gender of the respondents has any impact on Investors' Perception the relationship between these two is analysed. In order to discover out the relationship between gender of the respondents and Investors' Perception. et, Chi-square take a look at was once utilized and the end result of the take a look at is given in the following table. Hypotheses Null Hypothesis (H There is no substantial affiliation between between gender of the respondents and

European Journal of Molecular & Clinical Medicine
ISSN 2515-8260 Volume 07, Issue 06, 2020 2733 economic approach used in fairness derivatives. Alternate Hypothesis (H There is a big affiliation between gender of the respondents and monetary method used in fairness derivatives.
Chi-Square Tests Value
Df Asymptotic Significance sided) Pearson Chi-Square a
.165 Likelihood Ratio
3.660 2
.160
Linear-by-Linear Association
3.370 1
.066 N of Valid Cases
200 a. 2 cells (33.3%) have expected countless than 5. The minimum expected count is 2.65. The chi-square take a look at end result indicates that there is avast affiliation between respondents' gender and monetary approach used in fairness derivatives. Hence the null speculation is accepted.

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