Contents & References of The effect of delayed structures and variables on capital structure
List:
Abstract: 1
Introduction: 2
Chapter One: General Research
1-1 Introduction. 4
2-1 statement of the problem. 4
3-1 The importance of research. 5
4-1 research objectives. 6
5-1 theoretical framework of the research. 6
6-1 research hypotheses. 7
7-1 Scope of research. 8
8-1 operational definition of words and terms. 8
Chapter Two: Review of Research Literature
1-2 Introduction. 12
2-2 capital structure. 12
3-2 financing strategy. 13
2-4 Financing methods. 14
1-4-2 Short-term financing. 14
2-4-2 medium-term financing. 14
3-4-2 Long-term financing. 15
5-2 Financing and capital structure. 16
6-2 Financing cost. 17
7-2 method of determining the capital structure. 18
8-2 theories of capital structure. 19
1-8-2 View of net profit. 19
2-8-2 view of operating net profit. 20
3-8-2 traditional view. 21
4-8-2 Maud Yiliani and Miller's view. 22
5-8-2 static view (parallel theory) or (compromise theory) 25
6-8-2 preferred view. 26
9-2 Determining factors of capital structure. 29
1-9-2 Industry group. 29
2-9-2 company size. 29
3-9-2 Company growth rate. 30
4-9-2 Profitability. 30
5-9-2 Adjusting the volatility of needs against short-term resources. 31
6-9-2 collateral assets. 31
7-9-2 Operating lever. 32
8-9-2 Other internal factors affecting the capital structure. 33
9-9-2 External factors affecting the capital structure. 33
10-2 Internal investigation. 35
11-2 Foreign research. 37
Chapter 3: Research Implementation Method
1-3 Introduction. 40
2-3 research methods. 40
3-3 research objectives. 41
4-3 research assumptions. 41
5-3- Analytical model of research. 42
6-3-how to calculate research variables. 43
3-7 Statistical population. 44
8-3 statistical sample. 45
9-3 information gathering methods. 46
10-3 Data analysis. 46
11-3 Estimating regression coefficients and checking research assumptions using spss software 46
3-12 Checking regression assumptions. 48
Chapter Four: Data Analysis
1-4 Introduction. 52
2-4 Examining research hypotheses in 2011. 52
1-2-4 Examining regression assumptions in 2008. 53
2-2-4 Examining the assumption of normality of error distribution. 53
3-2-4 Checking the assumption that errors are not correlated. 54
4-2-4 independent variables are not correlated with each other. 54
5-2-4 regression analysis. 55
6-2-4 conclusions in 2011. 57
3-4 examination of research hypotheses in 2012. 58
1-3-4 examination of the assumption of homogeneity of error variance. 58
2-3-4 Checking the assumption of normality of errors. 59
3-3-4 Checking the assumption that the variance of the errors is not correlated. 59
4-3-4 independent variables are not correlated with each other. 60
5-3-4 regression analysis. 61
6-3-4 drawing conclusions in 2012. 63
4-4 checking research hypotheses in 2013. 64
1-4-4 checking the assumption of homogeneity of error variance. 65
2-4-4- Checking the assumption of normality of errors. 66
3-4-4- Checking the assumption that the variance of the errors is not correlated. 66
4-4-4 independent variables are not correlated with each other. 67
5-4-4 regression analysis. 68
6-4-4 conclusions in 2013. 70
5-4 examination of research hypotheses in 2014. 71
1-5-4 examination of the assumption of homogeneity of error variance. 72
2-5-4 Checking the assumption of normality of the distribution of errors. 72
3-5-4 Checking the assumption that the variance of errors is not correlated. 73
4-5-4 Non-correlation of independent variables with each other. 74
5-5-4 regression analysis. 75
6-5-4 Conclusion in 1384. 77
6-4 Checking research hypotheses in 1385. 78
1-6-4 Checking the assumption of homogeneity of error variance. 79
2-6-4 Checking the assumption of normality of the distribution of errors. 79
3-6-4 Independent variables are not correlated with each other. 80
4-6-4 Regression analysis: 81
5-6-4 Conclusion in 2005: 83
7-4 Examination of research hypotheses in 2016. 84
1-7-4 Examination of the assumption of homogeneity of error variance. 85
2-7-4 Checking the assumption of normality of the distribution of errors. 86
3-7-4 Checking the assumption that the variance of the errors is not correlated.86
4-7-4 Non-correlation of independent variables with each other. 87
6-7-4 Regression analysis: 88
7-7-4 Conclusion in 1386: 90
8-4 Examining research hypotheses by the average of 1386-1381. 92
1-8-4 Examining the assumption of homogeneity of error variance. 92
2-8-4 Checking the assumption of normality of error distribution. 93
3-8-4 Checking the assumption that the variance of errors is not correlated. 94
4-8-4 Non-correlation of independent variables with each other. 94
5-8-4 regression analysis. 95
Chapter Five: Conclusion and Suggestions
5-1 Introduction. 99
2-5 summary and conclusion of the research. 99
1-2-5 The results of the first hypothesis test. 99
2-2-5 The results of the second hypothesis test. 100
3-2-5 The results of the third hypothesis test: 100
4-2-5 The results of the fourth hypothesis test. 101
3-5 possible limitations in generalizing research results. 101
4-5 practical suggestions. 102
5-5 Suggestions for future research. 102
Appendices
Sources and sources
Persian sources: 116
Latin sources: 118
English abstract: 120
Source:
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