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Index
Cover
Title
Copyright
Contents
List of Tables
List of Charts
List of Abbreviations
Abstract
Chapter 1 Introduction
1.1. Securities Market in India: An Overview
1.1.1. Origin of Indian Stock Market
1.1.2. Assessment of Performance of Indian Securities Market (2000–2010)
1.1.3. Market Segments
1.1.4. Market Participants
1.1.5. Secondary Market
1.1.6. Cash Market
1.1.7. India and International Comparison
1.2. Definitions of Technical Analysis and Fundamental Analysis
1.3. Importance and Need of the Study
1.4. Objectives of the Study
1.5. Hypotheses
1.6. Research Methodology
1.6.1. Sources of Data
1.6.1.1. Primary data
1.6.1.2. Secondary data
1.6.2. Sampling Plan
1.6.2.1. Sampling units
1.6.2.2. Sample size
1.6.2.3. Sampling procedure (technique)
1.6.2.4. Sampling contact method
1.6.3. Methods of Data Collection
1.6.3.1. Design of questionnaire
1.6.3.2. Testing of questionnaire
1.6.4. Data Analysis Tools and Techniques
1.7. Scope and Limitations of the Study
1.8. Organisation of the Study
References
Websites
Chapter 2 Introduction to Various Approaches
2.1. Introduction
2.2. Fundamental Approach
2.2.1. Discounted Cash Flow Valuation
2.2.2. Dividend Discount Models
2.2.2.1. Single-Period Valuation Model
2.2.2.2. Multi-Period Valuation Model
2.2.2.3. Constant Dividend (Zero Growth) Model
2.2.2.4. Gordon Model
2.2.2.5. Two-Stage Growth Model
2.2.2.6. H Model
2.2.3. Relative Valuation
2.2.3.1. Price to earnings ratio (P/E)
2.2.3.2. Price to book value ratio (P/BV)
2.2.3.3. Price to sales ratio (PSR)
2.2.3.4. Enterprise value to EBITDA (EV/EBITDA)
2.2.4. Value-Added Methods
2.3. Technical Approach
2.3.1. The Dow Theory
2.3.1.1. Tenets of Dow Theory
2.3.2. Types of Charts
2.3.2.1. Line chart
2.3.2.2. Bar charts
2.3.2.3. Point and figure chart
2.3.2.4. Candlesticks
2.3.3. Trends
2.3.3.1. Trend reversal
2.3.3.2. Trend lines
2.3.3.3. Support and resistance
2.3.4. Price Pattern
2.3.4.1. Head and Shoulders
2.3.4.2. Double Tops and Bottoms
2.3.4.3. Triangles
2.3.4.4. Rectangles
2.3.5. Indicators
2.3.5.1. Types of indicators
2.3.6. Other Tools and Techniques
2.3.6.1. Filters
2.3.6.2. Gaps
2.3.7. Sentiment Indicators
2.3.7.1. Short-interest ratio
2.3.7.2. Mutual fund liquidity
2.3.7.3. Put/call ratio
References
Chapter 3 Review of Literature
3.1. Review of Existing Literature
3.2. Research Gap
References
Chapter 4 Data Analysis and Interpretation
4.1. Introduction
4.2. Demographic Analysis
4.2.1. Gender
4.2.2. Age Groups
4.2.3. Relevant Work Experience
4.3. Objective 1 – Time Period Analysis
4.3.1. Anova One Way using SPSS
Hypothesis
4.3.1.1. Post Hoc Tests
4.3.1.2. Bucketing
4.3.1.3. Cluster analysis
4.3.2. Kruskal–Wallis H Test Using SPSS
Hypothesis
4.3.2.1. Kruskal–Wallis H Test
4.3.2.2. Mann–Whitney U Test (intraday and 1 week)
4.3.2.3. Mann–Whitney U Test (intraday and 1 month)
4.3.2.4. Mann–Whitney U Test (intraday and 3 months)
4.3.2.5. Mann–Whitney U Test (intraday and 6 months)
4.3.2.6. Mann–Whitney U Test (intraday and 1 year)
4.3.2.7. Mann–Whitney U Test (intraday and beyond year)
4.3.2.8. Mann–Whitney U Test (1 week and 1 month)
4.3.2.9. Mann–Whitney U Test (1 week and 3 months)
4.3.2.10. Mann–Whitney U Test (1 week and 6 months)
4.3.2.11. Mann–Whitney U Test (1 week and 1 year)
4.3.2.12. Mann–Whitney U Test (1 week and beyond 1 year)
4.3.2.13. Mann–Whitney U Test (1 month and 3 months)
4.3.2.14. Mann–Whitney U Test (1 month and 6 months)
4.3.2.15. Mann–Whitney U Test (1 month and 1 year)
4.3.2.16. Mann–Whitney U Test (1 month and beyond year)
4.3.2.17. Mann–Whitney U Test (3 months and 6 months)
4.3.2.18. Mann–Whitney U Test (3 months and 1 year)
4.3.2.19. Mann–Whitney U Test (3 months and beyond year)
4.3.2.20. Mann–Whitney U Test (6 months and 1 year)
4.3.2.21. Mann–Whitney U Test (6 months and beyond 1 year)
4.3.2.22. Mann–Whitney U Test (1 year and beyond 1 year)
4.4. Objective 2 – Importance Factors’ Analysis
4.4.1. Anova One Way Using SPSS
Hypothesis
4.4.1.1. ANOVA One Way
4.4.1.2. Post Hoc Tests
4.4.2. Kruskal–Wallis H Test Using SPSSS
Hypothesis
4.4.2.1. Kruskal–Wallis H Test
4.4.2.2. Mann–Whitney U Test (Risk Factors and Liquidity Factors)
4.4.2.3. Mann–Whitney Test U Test (Risk Factors and Financial Factors)
4.4.2.4. Mann–Whitney U Test (Risk Factors and Technical Factors)
4.4.2.5. Mann–Whitney U Test (Risk Factors and Economic Factors)
4.4.2.6. Mann–Whitney U Test (Risk Factors and Industry Specific Factors)
4.4.2.7. Mann–Whitney U Test (Risk Factors and Company Specific Factors)
4.4.2.8. Mann–Whitney U Test (Risk Factors and Others)
4.4.2.9. Mann–Whitney U Test (Liquidity Factors and Financial Factors)
4.4.2.10. Mann–Whitney U Test (Liquidity Factors and Technical Factors)
4.4.2.11. Mann–Whitney U Test (Liquidity Factors and Economic Factors)
4.4.2.12. Mann–Whitney U Test (Liquidity Factors and Industry Specific Factors)
4.4.2.13. Mann–Whitney U Test (Liquidity Factors and Company Specific Factors)
4.4.2.14. Mann–Whitney U Test (Liquidity Factors and Others)
4.4.2.15. Mann–Whitney U Test (Financial Factors and Technical Factors)
4.4.2.16. Mann–Whitney U Test (Financial Factors and Economic Factors)
4.4.2.17. Mann–Whitney U Test (Financial Factors and Industry Specific Factors)
4.4.2.18. Mann–Whitney U Test (Financial Factors and Company Specific Factors)
4.4.2.19. Mann–Whitney U Test (Financial Factors and Others)
4.4.2.20. Mann–Whitney U Test (Technical Factors and Economic Factors)
4.4.2.21. Mann–Whitney U Test (Technical Factors and Industry Specific Factors)
4.4.2.22. Mann–Whitney U Test (Technical Factors and Company Specific Factors)
4.4.2.23. Mann–Whitney U Test (Technical Factors and Others)
4.4.2.24. Mann–Whitney U Test (Economic Factors and Industry Specific Factors)
4.4.2.25. Mann–Whitney U Test (Economic Factors and Company Specific Factors)
4.4.2.26. Mann–Whitney U Test (Economic Factors and Others)
4.4.2.27. Mann–Whitney U Test (Industry Specific Factors and Company Specific Factors)
4.4.2.28. Mann–Whitney U Test (Industry Specific Factors and Others)
4.4.2.29. Mann–Whitney U Test (Company Specific Factors and Others)
4.5. Objective 3 – Complementarity Analysis
4.6. Objective 4 – Demographic and Technical and Fundamental Tools Association Analysis
4.6.1. Chi-Square Tests
4.6.2. Gender Versus Analytical Techniques
Hypothesis Formulated
Result
4.6.3. Gender Versus Computer Graphics and Services
Hypothesis Formulated
Result
4.6.4. Gender Versus Chartist Publication
Hypothesis Formulated
Result
4.6.5. Gender Versus Chart Company Or Analyst
Hypothesis Formulated
Result
4.6.6. Gender Versus Sentiment Indicators
Hypothesis Formulated
Result
4.6.7. Gender Versus Earnings Multiple Method
Hypothesis Formulated
Result
4.6.8. Gender Versus Discounted Cash Flows Methods
Hypothesis Formulated
Result
4.6.9. Gender Versus Dividend Discount Models
Hypothesis Formulated
Result
4.6.10. Gender Versus Value Added Concept
Hypothesis Formulated
Result
4.6.11. Age Versus Analytical Techniques
Hypothesis Formulated
Result
4.6.12. Age Versus Computer Graphics and Services
Hypothesis Formulated
Result
4.6.13. Age Versus Chartist Publications
Hypothesis Formulated
Result
4.6.14. Age Versus Chart Company or Analyst
Hypothesis Formulated
Result
4.6.15. Age Versus Sentiment Indicators
Hypothesis Formulated
Result
4.6.16. Age Versus Earnings Multiple Methods
Hypothesis Formulated
Result
4.6.17. Age Versus Discounted Cash Flows Methods
Hypothesis Formulated
Result
4.6.18. Age Versus Dividend Discount Models
Hypothesis Formulated
Result
4.6.19. Age versus Value Added Concepts
Hypothesis Formulated
Result
4.7. Crosstabs
4.7.1. Experience (Exp) Versus Analytical Techniques
Hypothesis Formulated
Result
4.7.2. Experience (Exp) Versus Computer Graphics and Services
Hypothesis Formulated
Result
4.7.3. Experience (Exp) Versus Chartist Publications
Hypothesis Formulated
Result
4.7.4. Experience (Exp) Versus Chart Company or Analyst
Hypothesis Formulated
Result
4.7.5. Experience (Exp) Versus Sentiment Indicators
Hypothesis Formulated
Result
4.7.6. Experience (Exp) Versus Earnings Multiple Methods
Hypothesis Formulated
Result
4.7.7. Experience (Exp) Versus Discounted Cash Flows Methods
Hypothesis Formulated
Result
4.7.8. Experience (Exp) Versus Dividend Discount Models
Hypothesis Formulated
Result
4.7.9. Experience (EXP) versus Value Added Concepts
Hypothesis Formulated
Result
References
Chapter 5 Conclusions and Recommendations
5.1. Objective 1 – Time Period
5.2. Objective 2 – Importance Factors
5.3. Objective 3 – Complementarity
5.4. Objective 4 – Demographic and Technical and Fundamental Tools Association
5.5. Scope for Future Research
Appendices
Annexure A: Questionnaire
Annexure B: Pilot Study Results
Results of Pilot Study
Scale: time period
Scale: importance factors
Bibliography
Databases
Internet Websites
Index
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