Figure 2: The graph of the y$_{1}$ coordinate of system A$_{2}$. Figure 3: Extension of chaos by system A$_{3}$. Figure 4: The projection of the chaotic trajectory of the coupled Kaldor-Kalecki system A$_{2}$ − A$_{3}$ on the y$_{1}$ − k$_{1}$ − y$_{2}$ space. corresponding to the same initial data, on the y$_{1}$ − k$_{1}$ − y$_{2}$ space. Next, we continue with system A$_{4}$. We take into account system A$_{4}$ with the solution of A$_{2}$ that is represented in Figure 2, and show the trajectory of A$_{4}$ with S ( t$_{0}$ ) = 1 . 67 , Y ( t$_{0}$ ) = 0 . 94 , F ( t$_{0}$ ) = − 5 . 15 , where t$_{0}$ = 0 . 63 , in Figure 5. One can observe in Figure 5 that the system A$_{4}$ admits a chaotic business cycle. In order to observe the attraction of the cyclic chaos of system A$_{4}$, we again use the solution of A$_{4}$ with S ( t$_{0}$ ) = 1 . 67 , Y ( t$_{0}$ ) = 0 . 94 , F ( t$_{0}$ ) = − 5 . 15 , where t$_{0}$ = 0 . 63 , in A$_{5}$ and depict in Figure 6 the trajectory of system A$_{5}$ with y$_{3}$ ( t$_{0}$ ) = 0 . 72 , k$_{3}$ ( t$_{0}$ ) = 0 . 56 . It is seen in Figure 6 that the chaotic business cycle of A$_{4}$ is attracted by A$_{5}$, and the cyclic irregular behavior is extended. 13 0.06 0.08 0.1 0.12 0.14 0.16 0.06 0.08 0.1 0.12 0.8 1 1.2 1.4 1.6 k$_{1}$ y$_{1}$ y 2 0 50 100 150 200 250 300 350 400 450 500 0.8 1 1.2 1.4 t y 2 0 50 100 150 200 250 300 350 400 450 500 0.08 0.1 0.12 0.14 0.16 0.18 t y 1