Chapter 1
Fig. 1.Impulse Response under Policy A.10
Fig. 2.Impulse Response under Policy B.12
Fig. 3.Impulse Response under Steeper NKPC.13
Chapter 2
Fig. 1.Time series graphs of all the variables in Logarithmic form.25
Fig. 2.Working of a Decision Tree.28
Fig. 3.Actual and Predicted M1 of Training Dataset.29
Fig. 4.Actual and Predicted M1 of Test Dataset 1.30
Fig. 5.Actual and Predicted M1 of Test Dataset 2.30
Fig. 6.Actual and Predicted M1 of Training Dataset.33
Fig. 7.Actual and Predicted M1 of Test Dataset 1.33
Fig. 8.Actual and Predicted M1 of Test Dataset 2.34
Chapter 4
Fig. 1.Trading Volume in the Cryptocurrency Market.70
Fig. 2.Daily Closing Prices and Returns of the Variable.76
Chapter 8
Fig. A1.Bric Impulse Response (2007:1–2010:11).148
Fig. B1.BricS Impulse Response (2010:12–2020:5).149
Chapter 9
Fig. 1.Inflation in Indonesia.153
Fig. 2.Conceptual Framework.156
Fig. 3.Stages of Making the ARIMA Model.158
Fig. 4.Inflation in Indonesia January 2005–June 2020.159
Fig. 5.Correlogram of Inflation in Indonesia January 2005–June 2020.160
Fig. 6.White Test Through Residual Correlogram.161
Fig. 7.Residual Inflation of ARIMA Model.162
Fig. 8.Forecasting Inflation in Indonesia for the Next 6 Months.163
Chapter 10
Fig. 1.The Level of Public Understanding of the Capital Market.170
Fig. 2.The Level of Public Understanding of the Trading Mechanism in the Capital Market.171
Fig. 3.Development of GIBEI Visits in West Java.172
Fig. 4.Conceptual Framework.175
Fig. 5.Students’ Level of Understanding of Fundamental and Technical Analysis Techniques.178
Fig. 6.Indonesian Capital Market Education Model.180
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