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Mathematical Modelling of Financial Instability and Macroeconomic Stabilisation Policies

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Nonlinear Economic Dynamics and Financial Modelling

Abstract

In this paper, we formulate a series of mathematical macrodynamic models that contribute to the theoretical analysis of financial instability and macroeconomic stabilisation policies. Two-dimensional model of fixed prices without active macroeconomic stabilisation policy, four-dimensional model of flexible prices with central bank’s monetary stabilisation policy, and six-dimensional model of flexible prices with monetary and fiscal policy mix are considered in order. In the final section, we provide an intuitive economic interpretation of the analytical results.

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Notes

  1. 1.

    For the Post Keynesian-oriented theoretical literature on Minsky’s financial instability hypothesis, see, for example, Asada’s (2001, 2004, 2012), Asada et al. (2010), Keen (2000), Nasica (2000), Pally (1996) and Semmler(ed.) (1989).

  2. 2.

    See, for example, Eggertsoon and Krugman (2012) and Krugman (2012).

  3. 3.

    See Minsky’s (1986) and Asada et al. (2010).

  4. 4.

    The “high dimensional” dynamic model means the dynamic model with many (at least three) endogenous variables.

  5. 5.

    This model is essentially based on Asada’s (2001) formulation.

  6. 6.

    \(E=\phi (g)K\) is the real investment expenditure including the adjustment cost, so that \(E/K=\phi (g)\) is the real investment expenditure including the adjustment cost per capital stock. In this formulation, international trade is neglected for simplicity.

  7. 7.

    Asada’s (2001) derived this type of investment function from the firms’ profit maximisation behaviours by using both Kalecki’s (1937) hypothesis of increasing risk of investment and Uzawa’s (1969) hypothesis of increasing adjustment cost of investment, which is called “Penrose effect”.

  8. 8.

    In this formulation, it is assumed that the household is the creditor to both of firms and the government. Furthermore, it is assumed for simplicity that \(\tau =T/K\) is independent of \(id\) and \(\rho b\) but it solely depends on \(y\). Incidentally, a possible formulation of the consumption function is \(C=(1-s_1)\{W+(1-s_f)(P-iD)+iD-T\}+(1-s_3)\rho B\). In this particular case, we have \(s_2=1-(1-s_1)s_f\) in Eq. (13).

  9. 9.

    In the models in this paper, the “jump variables” are not allowed for unlike the mainstream “New Keynesian” dynamic models that are represented by Woodford (2003), Galí (2008) and others, but it is assumed that all initial conditions of the endogenous variables are historically given. This means that we adopt the traditional notion of the local stability/instability that is popular in the “Old Keynesian” dynamic models represented by Tobin (1994) as well as the “Post Keynesian” models. That is to say, (1) the equilibrium point is considered to be locally stable if all characteristic roots have negative real parts, and (2) it is considered to be locally unstable if at least one characteristic root has positive real part, and (3) it is considered to be locally totally unstable if all characteristic roots have positive real parts. As for the critical assessment of “New Keynesian” dynamic models, see, for example, Asada (2013); Asada et al. (2006, 2010); Chiarella et al. (2013); Flaschel et al. (2008) and Mankiw (2001).

  10. 10.

    In fact, the point \(\alpha =\alpha _0\) is the Hopf Bifurcation point (Gandolfo 2009 p. 481).

  11. 11.

    For the original exposition of the “Taylor rule”, see Taylor (1993).

  12. 12.

    Equations (29) and (30) imply that \(\dot{y}\) is a decreasing function of \(\rho -\pi ^e\), and \(\dot{\pi }^e\) is an increasing function of \(y\). In other words, this model is immune from the notorious “sign reversals”, which are the peculiar characteristics of the “New Keynesian” dynamic model. See, for example, Asada (2013), Asada et al. (2006, 2010), Mankiw (2001).

  13. 13.

    Also in the models of the previous sections, the definitional Eq. (67) must be satisfied, but this equation has no impact on the dynamics of the main variables in the models of the previous sections as long as \(s_3=1\).

  14. 14.

    Note that we have \(\dot{K}/K=g(\beta y,\rho -\pi ^e,d)\) from the investment function that is formulated in Sect. 2.

  15. 15.

    There is a slight difference between the original “Domar condition” and our “Domar condition”. In Domar’s (1957) original model, the dynamic stability of the ratio \(B/(pY)\) rather than the ratio \(b=B/(pK)\) is studied, so that in original Domar model, \(g\) is not \(\dot{K}/K\) but it is \(\dot{Y}/Y\).

  16. 16.

    This means that the equilibrium condition for the money market (69) affects other parts of the system through Eq. (77) so that the dynamic system in this section is no longer the decomposable system.

  17. 17.

    Unlike the previous sections, we do not necessarily assume that \(s_3=1\) in this section.

  18. 18.

    This six-dimensional system is a generalised version of the five-dimensional system that is formulated by Asada (2013), which does not consider the explicit dynamic of the variable \(d\).

  19. 19.

    The values of \(F_{62}\) and \(F_{63}\) are irrelevant for our purpose.

  20. 20.

    It is worth noting that Assumptions 3 and 4 are not necessary for the proof of Proposition 4, but it is only used for the proof of Proposition 5.

  21. 21.

    Suppose that the central bank’s monetary policy is inactive so that both of the monetary policy parameters \(\beta _1\) and \(\beta _2\) are sufficiently small. In this case, the movement of the nominal interest rate of the government bond \(\rho \) becomes so sluggish that \(h=H/(pK)\) moves to the same direction as that of the movement of \(y\) like \((FM_2)\) (see Eq. (69) in the text). This means that the central bank continues to reduce the high-powered money-capital ratio in the process of depression, which has the pro-cyclical destabilising effect.

  22. 22.

    For the “lost twenty years” of the Japanese economy, see Krugman (1998) and Asada (2013).

  23. 23.

    For the detailed exposition of “Abenomics”, see General Introduction of Asada (2013).

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Acknowledgments

This research was financially supported by the Japan Society for the Promotion of Science (Grant-in Aid (C) 25380238) and the MEXT-Supported Program for the Strategic Research Foundation at Private Universities, 2013 - 2017.

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Appendices

Appendix 1: Proof of Proposition 4

Suppose that \(\xi =\beta _1=\beta _2=\theta =0\). In this case, we have

$$\begin{aligned} \begin{array}{rl} d_2&{}={\text {sum of all principal second-order minors of}}\;J_4\\ &{}= -\gamma \alpha \varepsilon \underbrace{F_{23}}_{(+)}+A, \end{array} \end{aligned}$$
(100)

where \(A\) is independent of the value of \(\gamma \). This means that we have \(d_2<0\) for all sufficiently large values of \(\gamma \), which violates one of the necessary conditions for local stability (99). By continuity, this conclusion applies even if the parameters \(\xi \), \(\beta _1\), \(\beta _2\), and \(\theta \) are positive, as long as they are sufficiently small. \(\square \)

Appendix 2: Proof of Proposition 5

Step 1. Suppose that \(\xi =s_3=1\). In this case, the characteristic Eq. (95) becomes

$$\begin{aligned} \Delta _4(\lambda )\equiv |\lambda I-J_4|=|\lambda I-J_5|(\lambda +\gamma )=0, \end{aligned}$$
(101)
$$\begin{aligned} J_5=\left[ \begin{array}{ccccc} F_{11} &{}F_{12} &{}F_{14} &{}0 &{}0\\ \alpha F_{21} &{}\alpha F_{22} &{}\alpha F_{24} &{}\alpha &{}0\\ 0 &{} \beta _1\varepsilon +\beta _2 &{} 0 &{} 0 &{} 0\\ 0 &{} -\beta _3\theta &{} 0 &{} 0 &{} -\beta _3(1-\theta )\\ F_{61} &{}F_{62} &{}F_{64} &{}F_{65} &{}F_{66}\\ \end{array}\right] \end{aligned}$$
(102)

Equation (101) has a negative real root \(\lambda _6=-\gamma \) and other five roots are determined by the equation

$$\begin{aligned} \Delta _5(\lambda )\equiv |\lambda I-J_5|=0. \end{aligned}$$
(103)

Step 2. Next, suppose that \(\theta =1\). In this case, Eq. (103) is reduced to

$$\begin{aligned} \Delta _5(\lambda )=|\lambda I-J_6|(\lambda -F_{66})=0, \end{aligned}$$
(104)
$$\begin{aligned} J_6=\left[ \begin{array}{cccc} F_{11} &{}F_{12} &{}F_{14} &{}0 \\ \alpha F_{21} &{}\alpha F_{22} &{}\alpha F_{24} &{}\alpha \\ 0 &{} \beta _1\varepsilon +\beta _2 &{} 0 &{} 0 \\ 0 &{} -\beta _3 &{} 0 &{} 0 \\ \end{array}\right] . \end{aligned}$$
(105)

Equation (104) has a negative real root \(\lambda _5=F_{66}\) and other four roots are determined by the following equation.

$$\begin{aligned} \Delta _6(\lambda )=|\lambda I-J_6|=(\lambda ^3+z_1\lambda ^2+z_2\lambda +z_3)\lambda =0, \end{aligned}$$
(106)
$$\begin{aligned} z_1=-\underbrace{F_{11}}_{(-)}-\alpha \underbrace{F_{22}}_{(+)}, \end{aligned}$$
(107)
$$\begin{aligned} z_2=\alpha \{\underbrace{(F_{11}F_{22}-F_{12}F_{21})}_{(+)}-\underbrace{F_{24}}_{(-)}(\beta _1\varepsilon +\beta _2)+\beta _3\}>0, \end{aligned}$$
(108)
$$\begin{aligned} z_3=\alpha \{-\underbrace{F_{11}}_{(-)}\beta _3+(\beta _1\varepsilon +\beta _2)\underbrace{(F_{11}F_{24}-F_{14}F_{21})}_{(+)}\}>0, \end{aligned}$$
(109)
$$\begin{aligned} \begin{array}{rl} z_1z_2-z_3=&{}\alpha \{(-\underbrace{F_{11}}_{(-)}-\alpha \underbrace{F_{22}}_{(+)})\underbrace{(F_{11}F_{22}-F_{12}F_{21})}_{(+)}-\alpha \beta _3 \underbrace{F_{22}}_{(+)}\\ &{}+(\beta _1\varepsilon +\beta _2)(\underbrace{F_{14}}_{(-)}\underbrace{F_{21}}_{(-)}+\alpha \underbrace{F_{22}}_{(+)}\underbrace{F_{24}}_{(-)})\}. \end{array} \end{aligned}$$
(110)

Equation (106) has a real root \(\lambda _4=0\), and other three roots are determined by the equation

$$\begin{aligned} \Delta _7(\lambda )\equiv \lambda ^3+z_1\lambda ^2+z_2\lambda +z_3=0. \end{aligned}$$
(111)

Step 3. It is easy to see that all of the following Routh-Hurwitz conditions for stable roots of Eq. (111) are satisfied if \(\alpha \) is sufficiently small (cf. Gandolfo 2009 Chap. 16).

$$\begin{aligned} z_j>0~(j=1,2,3),~z_1z_2-z_3>0 \end{aligned}$$
(112)

Hence, we have just proved the following result. “Suppose that \(\theta =1\). Then, the characteristic Eq. (103) has a real root \(\lambda _4=0\) and other four roots of this equation have negative real parts under the conditions (1) and (3) of Proposition 5.” This means that Eq. (103) has at least four roots with negative real parts under the conditions (1) and (3) of Proposition 5 even if \(0<\theta <1\), as long as \(\theta \) is sufficiently close to 1 by continuity. On the other hand, in case of \(0<\theta <1\), we have

$$\begin{aligned} \Delta _5(0)&=-\prod ^{5}_{j=1}\lambda _j=|-J_5|=-\text {det}J_5 \\&=\alpha (\beta _1\varepsilon +\beta _2)\beta _3(1-\theta )\{F_{65}\underbrace{(F_{11}F_{24}-F_{14}F_{21})}_{(+)}+\underbrace{(F_{14}F_{61}-F_{11}F_{64})}_{(+)}\},\nonumber \end{aligned}$$
(113)

and \(F_{65}\) becomes positive if \(\alpha \) is sufficiently small. Therefore, Eq. (113) becomes positive so that we have \(\prod ^{5}_{j=1}\lambda _j<0\) if \(0<\theta <1\) and \(\alpha \) is sufficiently small. This means that all roots of Eq. (103) have negative real parts under the conditions (1), (3), and (4) of Proposition 5

Step 4. We have just proved the following result. “Suppose that \(\xi =s_3=1\). Then, all of six characteristic roots of Eq. (95) in the text have negative real parts under the conditions (1), (3), and (4) of Proposition 5.” By continuity, this conclusion applies even if \(0<\xi <1\) and \(0<s_3<1\), as long as they are sufficiently close to 1. This proves Proposition 5. \(\square \)

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Asada, T. (2014). Mathematical Modelling of Financial Instability and Macroeconomic Stabilisation Policies. In: Dieci, R., He, XZ., Hommes, C. (eds) Nonlinear Economic Dynamics and Financial Modelling. Springer, Cham. https://doi.org/10.1007/978-3-319-07470-2_5

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