| Chapter 2 | ||
| Table 1. | Unit Root Tests. | 27 |
| Table 2. | Evaluation Metrics. | 30 |
| Table 3. | Variable Importances as generated by Random Forest Regression. | 31 |
| Table 4. | ARDL Model Estimation. | 32 |
| Table 5. | Evaluation Metrics. | 34 |
| Chapter 3 | ||
| Table 1. | A Review of Empirical Literature on MDF and Its Stability and Covers the Authors’ Details, Countries, Sample Covered, Methodology, and Findings of the Studies. | 53 |
| Chapter 4 | ||
| Table 1. | Descriptive Statistics. | 77 |
| Table 2. | Unit Root Test Results. | 77 |
| Table 3. | Estimates of Diagonal BEKK–GARCH Model for the Bitcoin, Gold, and Oil Returns. | 78 |
| Chapter 5 | ||
| Table 1. | Sin Stocks Invested by Equity Funds in Indonesia. | 92 |
| Table 2. | Descriptive Statistics of Mutual Fund. | 93 |
| Table 3. | Correlation Matrix between Independent Variables. | 93 |
| Table 4. | Revised Correlation Matrix Between Independent Variables. | 94 |
| Table 5. | Regression Result Based on the FEM. | 95 |
| Table 6. | Multinomial Logistic Regression Result. | 96 |
| Chapter 6 | ||
| Table 1. | Descriptive Statistic. | 111 |
| Table 2. | Unit Root Test Result. | 111 |
| Table 3. | Relationship Between Banking Development, Household Income and Volatility. | 112 |
| Table 4. | Relationship Between Banking Development, Household Consumption and Volatility. | 113 |
| Chapter 7 | ||
| Table 1. | Personal Characteristics of the Sample. | 121 |
| Table 2. | Information on Skills and Knowledge. | 122 |
| Table 3. | Financial Cognitive Measurement Data. | 123 |
| Table 4. | The Number and Percentage of Financial Knowledge. | 123 |
| Table 5. | The Percentage, Mean and Standard Deviation of Financial Attitudes. | 124 |
| Table 6. | Financial Behavior Data. | 124 |
| Table 7. | Comparison of Differences Between Individual Characteristics and the Well-being of Farmers in the Northeast of Thailand. | 125 |
| Table 8. | Results of the Analysis of the Coefficient of Correlation with Financial Literacy Affecting the Well-being of Farmers in the Northeast of Thailand (n = 400). | 126 |
| Chapter 8 | ||
| Table 1. | BRIC Unit Root Tests at Level (2007:1–2010:11). | 138 |
| Table 2. | BRICS Unit Root Tests at Level (2010:12–2020:5). | 139 |
| Table 3. | Breaking Unit Root Tests with Intercept Only for BRIC and BRICS. | 139 |
| Table 4. | BRIC VAR (2007:1–2010:11). | 140 |
| Table 5. | BRICS VAR (2010:12–2020:05). | 141 |
| Table 6. | BRIC Variance Decomposition (2007:1–2010:11). | 142 |
| Table 7. | BRICS Variance Decomposition (2010:12–2020:5). | 143 |
| Chapter 9 | ||
| Table 1. | ADF Unit Root Test Results. | 161 |
| Table 2. | ARIMA Estimation Results and Best Model Selection. | 161 |
| Chapter 10 | ||
| Table 1. | GIBEI Data in West Java, Indonesia for the 2016–2019 Period. | 177 |
| Table 2. | Expansions for IDXIG and EMA. | 177 |
| Table 3. | Descriptive Analysis. | 178 |
| Table 4. | Regression Test Results. | 178 |
| Chapter 11 | ||
| Table 1. | t-Test Results. | 190 |
| Table 1. | Unit Root Tests. | 27 |
| Table 2. | Evaluation Metrics. | 30 |
| Table 3. | Variable Importances as generated by Random Forest Regression. | 31 |
| Table 4. | ARDL Model Estimation. | 32 |
| Table 5. | Evaluation Metrics. | 34 |
| Table 1. | A Review of Empirical Literature on MDF and Its Stability and Covers the Authors’ Details, Countries, Sample Covered, Methodology, and Findings of the Studies. | 53 |
| Table 1. | Descriptive Statistics. | 77 |
| Table 2. | Unit Root Test Results. | 77 |
| Table 3. | Estimates of Diagonal BEKK–GARCH Model for the Bitcoin, Gold, and Oil Returns. | 78 |
| Table 1. | Sin Stocks Invested by Equity Funds in Indonesia. | 92 |
| Table 2. | Descriptive Statistics of Mutual Fund. | 93 |
| Table 3. | Correlation Matrix between Independent Variables. | 93 |
| Table 4. | Revised Correlation Matrix Between Independent Variables. | 94 |
| Table 5. | Regression Result Based on the FEM. | 95 |
| Table 6. | Multinomial Logistic Regression Result. | 96 |
| Table 1. | Descriptive Statistic. | 111 |
| Table 2. | Unit Root Test Result. | 111 |
| Table 3. | Relationship Between Banking Development, Household Income and Volatility. | 112 |
| Table 4. | Relationship Between Banking Development, Household Consumption and Volatility. | 113 |
| Table 1. | Personal Characteristics of the Sample. | 121 |
| Table 2. | Information on Skills and Knowledge. | 122 |
| Table 3. | Financial Cognitive Measurement Data. | 123 |
| Table 4. | The Number and Percentage of Financial Knowledge. | 123 |
| Table 5. | The Percentage, Mean and Standard Deviation of Financial Attitudes. | 124 |
| Table 6. | Financial Behavior Data. | 124 |
| Table 7. | Comparison of Differences Between Individual Characteristics and the Well-being of Farmers in the Northeast of Thailand. | 125 |
| Table 8. | Results of the Analysis of the Coefficient of Correlation with Financial Literacy Affecting the Well-being of Farmers in the Northeast of Thailand ( | 126 |
| Table 1. | BRIC Unit Root Tests at Level (2007:1–2010:11). | 138 |
| Table 2. | BRICS Unit Root Tests at Level (2010:12–2020:5). | 139 |
| Table 3. | Breaking Unit Root Tests with Intercept Only for BRIC and BRICS. | 139 |
| Table 4. | BRIC VAR (2007:1–2010:11). | 140 |
| Table 5. | BRICS VAR (2010:12–2020:05). | 141 |
| Table 6. | BRIC Variance Decomposition (2007:1–2010:11). | 142 |
| Table 7. | BRICS Variance Decomposition (2010:12–2020:5). | 143 |
| Table 1. | ADF Unit Root Test Results. | 161 |
| Table 2. | ARIMA Estimation Results and Best Model Selection. | 161 |
| Table 1. | GIBEI Data in West Java, Indonesia for the 2016–2019 Period. | 177 |
| Table 2. | Expansions for IDXIG and EMA. | 177 |
| Table 3. | Descriptive Analysis. | 178 |
| Table 4. | Regression Test Results. | 178 |
| Table 1. | 190 | |
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