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Varying the Money Supply of Commercial Banks

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Dynamics, Games and Science

Part of the book series: CIM Series in Mathematical Sciences ((CIMSMS,volume 1))

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Abstract

We consider the problem of financing two productive sectors in an economy through bank loans, when the sectors may experience independent demands for money but when it is desirable for each to maintain an independently determined sequence of prices. An idealized central bank is compared with a collection of commercial banks that generate profits from interest rate spreads and flow those through to a collection of consumer/owners who are also one group of borrowers and lenders in the private economy. We model the private economy as one in which both production functions and consumption preferences for the two goods are independent, and in which one production process experiences a shock in the demand for money arising from an opportunity for risky innovation of its production function. An idealized, profitless central bank can decouple the sectors, but for-profit commercial banks inherently propagate shocks in money demand in one sector into price shocks with a tail of distorted prices in the other sector. The connection of profits with efficiency-reducing propagation of shocks is mechanical in character, in that it does not depend on the particular way profits are used strategically within the banking system. In application, the tension between profits and reserve requirements is essential to enabling but also controlling the distributed perception and evaluation services provided by commercial banks. We regard the inefficiency inherent in the profit system as a source of costs that are paid for distributed perception and control in economies.

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Notes

  1. 1.

    This is true for taps at the same elevation; we leave aside corrections for gravity which are not central to the point of this illustration.

  2. 2.

    The coupling is in linear proportion to the spread at sufficiently small spreads.

  3. 3.

    An added condition is that prices are stationary when the real goods distribution is stationary. This raises further complications involving incentives and information conditions in an economy where all laws are not indexed against inflation or deflation. This problem is not considered further here.

  4. 4.

    This abstraction is easy to define in models. Validating the abstraction for actual economies may be more or less difficult depending on the sectors considered.

  5. 5.

    Our models resemble the von Neumann growth model, restricted to a single good. However, in our production function the rate of output is a non-linear rather than a linear function of the input stock.

  6. 6.

    We do not digress to derive the solution for Robinson Crusoe here, because its important features are subsumed in the solutions we demonstrate. A more systematic introduction to this class of models, including a separate solution for Robinson Crusoe as a reference, will be given elsewhere.

    There are essentially three levels of models that require consideration for a complete exposition of basic distinctions. They are

    • Crusoe without money,

    • the price-taking individual firm with money,

    • the oligopolistic firm without money.

    The first two should produce the same physical allocations but differ in the presence or absence of money.

  7. 7.

    The source of the simplification is that difference equations and discrete series reduce to differential equations and integrals, though the structure and meaning of the Bellman equations remains unchanged.

  8. 8.

    We could introduce a k:1 gearing ratio here with a little extra work, but our illustration does not need it.

  9. 9.

    These forms are smoothed versions of a linear production function with a limiting output and corner solutions, developed by Shubik and Sudderth [6, 7]. Corner solutions provided a convenient way to truncate discrete-period models to a single period, but in the continuous-time setting, the smoothed production rate produces a simple decomposition of solutions.

  10. 10.

    The form (2) is the smoothed counterpart to a combination of “cost innovation” and “capacity innovation” in the terminology introduced by Shubik and Sudderth [6, 7]. The rate of production for \(s_{1,t} \lesssim 1/2\) is larger by the factor \(\left (1+\theta \right )\), generating the same output at less input cost. The saturation level f 1,  likewise increases by the factor \(\left (1+\theta \right )\), so that maximum output capacity likewise increases. This combination is simpler, for the smoothed production function, than either cost innovation or capacity innovation alone.

  11. 11.

    Thus, in the discrete-period model, the amounts consumed in one period are c 1 Δ t and c 2 Δ t.

  12. 12.

    The absolute magnitude of this constant does not matter for the definition of \(u\!\left (c_{1},c_{2}\right )\); only the dimension of a rate is required. We use the rate ρ in the discount factor as this avoids introducing a further arbitrary parameter.

  13. 13.

    To express this more didactically, \(\tilde{\mbox{ }}\) is used to indicate exclusion, or opposition in binary sets: \(\tilde{\imath }\) means whichever value in \(\left \{1, 2\right \}\) that is not the value taken by index i. \(\tilde{c}_{i}\) indicates the consumption rate of the good that is not the consumption rate c i .

  14. 14.

    This construction avoids most of the concerns with corporate financing.

  15. 15.

    Many alternative rules are well-defined: interest on deposits could accrue one period later than interest charged on loans, etc. Nothing depends on the intra-temporal order of interest charges and payments, in the continuous-time limit.

  16. 16.

    Under conditions when the bank is actively used, a t  = 0 occurs only on time intervals of measure zero, so the results are not sensitive to the way the interest rate is regularized. Because, in this model, we assume initial conditions prior to the accumulation of bank balances, it is convenient to choose a regularization condition that will be consistent with the other simplifying assumptions made in the model.

  17. 17.

    The residual terms at \(\mathcal{O}\!\left (\varDelta t\right )\), which we denote explicitly despite the fact that they approach zero as Δ t → 0, come from time lags between the making of bids and the delivery of profits. As long as the rates are continuous (differentiable at order one) functions, these effects contribute terms \(\sim \left (db_{i}/dt\right )\varDelta t\) in Eq. (20).

  18. 18.

    Without uncertainty it calls for the rate ρ defining the utilitarian rate of discount in Eq. (16) to equal the average of the two interest rates faced by the agents, as shown in Eq. (42) below. (In the worked example of the following sections, this will be the average of the borrowing and the lending rates.) With uncertainty there is a delicate correction depending on the variance.

  19. 19.

    When the term in curly braces is exactly zero, the late-time steady-state relation becomes

    $$\displaystyle{ \frac{\left (\rho _{B,1t} + \rho _{B,2t}\right )} {2} \frac{\left (a_{1,t} - a_{2,t}\right )} {2} = \left (\tilde{b}_{2,t} -\tilde{b}_{1,t}\right ). }$$

    This expression is simply the interest paid to agents of type-1, plus their share of bank profits when profits are defined, which balances the deficit in the profits of type-1 firms relative to the bids made by type-1 agents (who will consume more). Thus a consistent circular flow is restored in the asymptotic steady state, in a context of asymmetric production, profits, depositing/borrowing, and consumption.

  20. 20.

    These multipliers are always nonzero, as the budget constraint is always tight.

  21. 21.

    If bounds were placed on the account balances, additional multipliers could arise within each period as shadow prices associated with these constraints.

  22. 22.

    This term must be corrected with a measure term to relate it to individual firms’ output levels if not all firms are active in markets, as we show below.

  23. 23.

    A continuum of solutions to the first-order conditions exists, in which the type-1 and type-2 firms deplete or hoard stocks in differing degrees so as to cancel the intra-economy debt \(\left (a_{1,T} - a_{2,T}\right )\). This continuum includes a solution in which the type-2 firms continue to produce at the pre-innovation level, so they are buffered at all times. That solution, however, does not lead to a net aggregate balance \(\left (a_{1,T} + a_{2,T}\right ) = 0\), if \(\left (a_{1,t} + a_{2,t}\right )\) starts from a zero aggregate balance at t ≪ T. Therefore the solution with \(s_{2,t} = \bar{s}_{2},\;\forall t\) can only be reached by leaving a finely tuned non-zero aggregate balance \(\left (a_{1,t} + a_{2,t}\right )\) of \(\mathcal{O}\!\left (e^{-\left (T-t\right )\rho _{\pi }}\right )\) at early times t following the transient. Such an initial condition would lead to a different terminal solution than (\(s_{2,t} = \bar{s}_{2},\;\forall t\)) at any slightly different value for T, and would be incompatible with any non-cooperative equilibrium solution at a value of T differing by more than \(\mathcal{O}\!\left (1/\rho _{\pi }\right )\) from the value for T which \(\left (a_{1,t} + a_{2,t}\right )\) was tuned.

  24. 24.

    Firms of type-1, in the period when both are offering in the markets, have equations identical in form to Eq. (55), for the deviations of their stocks from the Utopia solutions. For the firms that attempt to innovate and fail, we denote these deviations \(\delta \left (s_{1}^{\left (-\right )} -\bar{s}_{1}\right )\), and for the firms that attempt to innovate and succeed, the corresponding quantity is \(\delta \left (s_{1}^{\left (+\right )} -\tilde{s}_{1}\right )\). In the initial period, when firms that successfully innovated are sitting outside the markets, their inventory growth is governed only by internal production and they do not optimize against prices. The type-1 firms that failed to innovate satisfy a slightly modified equation given by

    $$\displaystyle{\left [\left (1-\xi \right ) \frac{d} {dt}\left ( \frac{d} {dt} -\rho _{\pi }\right ) + 2\gamma _{1}\bar{f}_{1}^{{\prime\prime}}\right ]\left (s_{ 1} -\bar{s}_{1}\right ) = \pm \varTheta \!\left (t_{\mathrm{split}} - t\right )\gamma _{1}\left (\rho _{B,L} -\rho _{B,D}\right ),}$$

    because their measure is (1 −ξ) and the level of output than can contribute scales by the same factor.

  25. 25.

    In a true small-parameter expansion with both ρ π Δ t ≪ 1 and \(\left (\rho _{B,L} -\rho _{B,D}\right )/2\rho \ll 1\), the value t split would be shorter than the natural recovery time for stocks \(s_{1}^{\left (\pm \right )}\), so that the output of the successfully-innovating firms would never even respond to the interest-rate spread. The resulting solution would be simpler in structure than the one presented here, as well as smaller in magnitude.

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Acknowledgements

MS and ES are both external faculty of the Santa Fe Institute. The current work grows out of collaborations at SFI on the theory of money and its relations to problems of organization in physical and biological sciences. ES gratefully acknowledges support from William Melton and from Insight Venture Partners.

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Appendix: Supporting Algebra for Non-Cooperative Equilibria of Game Models

Appendix: Supporting Algebra for Non-Cooperative Equilibria of Game Models

1.1 Steady Post-Innovation Output and Stable Money Supply Lead to Stable Bid Levels

This section shows from the first-order conditions for consumption that, if output levels converge to steady late-time values, and if the money supply converges to a steady value, then bid levels by both type-1 and type-2 agents also converge to steady values. This condition is not an accounting identity, but part of the optimization problem that agents must solve. It requires only one strategic degree of freedom to be met, which is the overall consumption asymmetry \(\hat{\epsilon }\) that governs agents’ bid levels throughout the post-innovation consumption schedule.

From the notation of Eq. (30) in the main text, for the consumption asymmetries ε 1 and ε 2, and the fact that consumption rates c i and \(\tilde{c}_{\tilde{\imath }}\) are related to bid rates b i and \(\tilde{b}_{\tilde{\imath }}\) through the same prices p i , the ratios of consumption levels of the same good by the two types of agents may be written in terms of the \(\hat{q}_{i}\) and \(\hat{\epsilon }\) as

$$\displaystyle\begin{array}{rcl} \frac{c_{1}} {\tilde{c}_{2}} = \frac{b_{1}} {\tilde{b}_{2}}& =& \frac{1 + 2\hat{\epsilon }/\hat{q}_{1}} {1 - 2\hat{\epsilon }/\hat{q}_{1}} \\ \frac{\tilde{c}_{1}} {c_{2}} = \frac{\tilde{b}_{1}} {b_{2}}& =& \frac{1 + 2\hat{\epsilon }/\hat{q}_{2}} {1 - 2\hat{\epsilon }/\hat{q}_{2}}.{}\end{array}$$
(56)

Introducing two further notational abbreviations

$$\displaystyle\begin{array}{rcl} x_{1} \equiv \frac{2\hat{\epsilon }} {\hat{q}_{1}}\qquad \qquad x_{2} \equiv \frac{2\hat{\epsilon }} {\hat{q}_{2}},& &{}\end{array}$$
(57)

the bid rates by either agent type are written in terms of the total bid rates B 1 and B 2 as

$$\displaystyle\begin{array}{rcl} b_{1}& =& \frac{1 + x_{1}} {2} B_{1}\qquad \qquad \tilde{b}_{2} = \frac{1 - x_{1}} {2} B_{1} \\ \tilde{b}_{1}& =& \frac{1 + x_{2}} {2} B_{2}\qquad \qquad b_{2} = \frac{1 - x_{2}} {2} B_{2}{}\end{array}$$
(58)

The bid rates B 1 and B 2 are then related to the total money supply by Eq. (34) in the main text.

As long as the values of the late-time interest rates are well-defined, \(\hat{\epsilon }_{t}\) at late t has a fixed value, by Eq. (40). Then, as long as production levels q i converge to steady values, the ratios of both B i to the total money supply converge to steady values by Eq. (34). Finally, under these two conditions, the relations of all b i and \(\tilde{b}_{i}\) to the total money supply also converge, by Eq. (58).

This completes the result, and shows that steady credit and debt balances for the two agents a 1, T and a 2, T can be attained with a suitably chosen \(\hat{\epsilon }\) by Eq. (23).

1.2 Solutions for the Utopia Economy

This section provides solutions for the non-cooperative equilibria of the Utopia model of Sect. 6.2. We begin with the output equations for good-2, which does not undergo an innovation shock.

1.2.1 The Unshocked Good Remains at Steady State Unperturbed

The main Eq. (51) for the response of output decisions to prices, under the condition (40) on shadow prices, becomes

$$\displaystyle{ \left [ \frac{d} {dt}\left ( \frac{d} {dt} -\rho _{\pi }\right ) + 2\gamma _{2}\bar{f}_{2}^{{\prime\prime}}\right ]\left (s_{ 2} -\bar{s}_{2}\right ) = 0. }$$
(59)

Since the initial condition from the pre-shock equilibrium was \(s_{2,0} = \bar{s}_{2}\), the unique bounded solution is \(s_{2,t} = \bar{s}_{2}\) for all t.

1.2.2 Recovery of the Shocked Good

\(s_{1,t}^{\left (-\right )}\) denotes the stock of the type-1 firms that tried to innovate and failed, and \(s_{1,t}^{\left (+\right )}\) denotes the stock of the type-1 firms that succeeded. The initial conditions for both stocks in the periods immediately following the innovation are \(s_{1,0^{+}}^{\left (\pm \right )} \rightarrow \bar{s}_{ 1} - j\). The steady-state stock for failed-innovation firms is \(\bar{s}_{1} \equiv \left (1/2\right )\log 2\), and the steady-state stock for successfully-innovating firms is \(\tilde{s}_{1} = \bar{s}_{1} + \left (1/2\right )\log \left (1+\theta \right )\).

In an initial interval following the shock, only a measure \(\left (1-\xi \right )\) of firms offer in markets. The recovery equation (51) for these firms becomes

$$\displaystyle{ \frac{\left (1-\xi \right )} {2\gamma _{1}} \frac{d} {dt}\left ( \frac{d} {dt} -\rho _{\pi }\right )\left (s_{1}^{\left (-\right )} -\bar{s}_{ 1}\right ) \approx -\bar{f}_{1}^{{\prime\prime}}\left (s_{ 1}^{\left (-\right )} -\bar{s}_{ 1}\right ). }$$
(60)

This solution will govern offers q 1, t until the shadow prices of successfully-innovating firms fall to intersect market prices. Thereafter the successfully-innovating firms also begin to offer.

Once both firms have entered, both relax to the new steady states with the converging solution to the equation

$$\displaystyle{ \frac{1} {2\gamma _{1}} \frac{d} {dt}\left ( \frac{d} {dt} -\rho _{\pi }\right )\left (s_{1}^{\left (-\right )} -\bar{s}_{ 1}\right ) \approx -\bar{f}_{1}^{{\prime\prime}}\left (s_{ 1}^{\left (-\right )} -\bar{s}_{ 1}\right ). }$$
(61)

These are both second-order linear equations, which possess growing and decaying solutions. We first introduce notations for characteristic rates in the two regimes:

$$\displaystyle\begin{array}{rcl} \omega _{+}^{2}& \equiv & -2\gamma _{ 1}\bar{f}_{1}^{{\prime\prime}}\quad \mbox{ evaluates on Eq. (1) to}\quad 4\gamma _{ 1}\rho _{\pi } \\ \omega _{-}^{2}& \equiv & - \frac{2\gamma _{1}} {\left (1-\xi \right )}\bar{f}_{1}^{{\prime\prime}} = \frac{\rho _{+}^{2}} {\left (1-\xi \right )} {}\end{array}$$
(62)

In terms of these, the solutions for the relaxation time constants are

$$\displaystyle\begin{array}{rcl} \frac{1} {\tau } & =& \pm \sqrt{\omega _{- }^{2 } + \frac{\rho _{\pi }^{2 }} {4}} - \frac{\rho _{\pi }} {2}\qquad \qquad t \leq t_{1} \\ \frac{1} {\tau } & =& \pm \sqrt{\omega _{+ }^{2 } + \frac{\rho _{\pi }^{2 }} {4}} - \frac{\rho _{\pi }} {2}\qquad \qquad t > t_{1}.{}\end{array}$$
(63)

Both the positive and negative roots are needed in the initial transient for t ≤ t 1. Only the positive root is required for relaxation toward the turnpike solution in the initial transient for t > t 1. The negative root in the second line of Eq. (63) will become important again, however, for the growing solution in the terminal transient.

Equivalent expressions exist for production by type-2 firms. In the numerical example, where the production and consumption parameters are set to equal values for the two types, the type-2 dynamics will depend on the same time constants as the dynamics for type-1 firms in the interval t > t 1.

1.2.2.1 Relaxation and Matching Conditions

The timescale for relaxation shared among models is the discount rate in the profit criterion ρ π . Therefore introduce a dimensionless coordinate

$$\displaystyle{ z \equiv \rho _{\pi }t. }$$
(64)

Two scale factors that define local timescales relative to z are given shorthand notations \(\sqrt{\pm }\), which denote

$$\displaystyle\begin{array}{rcl} \sqrt{ \mbox{ +}}& \equiv & \sqrt{1 + \frac{4\rho _{+ }^{2 }} {\rho _{\pi }^{2}}} = \sqrt{1 + \frac{8\gamma _{1 } \bar{f} _{1 }^{{\prime\prime} }} {\rho _{\pi }^{2}}} = \sqrt{1 + \frac{16\gamma _{1 } } {\rho _{\pi }}} \\ \sqrt{\mbox{ -}}& \equiv & \sqrt{1 + \frac{4\rho _{- }^{2 }} {\rho _{\pi }^{2}}} = \sqrt{1 + \frac{16\gamma _{1 } } {\left (1-\xi \right )\rho _{\pi }}}. {}\end{array}$$
(65)

The two trajectories in the initial interval after the innovation event are

$$\displaystyle\begin{array}{rcl} s_{1,z}^{\left (+\right )} -\tilde{s}_{ 1}& =& -j -\frac{1} {2}\log \left (1+\theta \right ) + \frac{f_{1,\infty }\left (1+\theta \right )} {\rho _{\pi }} \left (e^{z} - 1\right ) \\ s_{1,z}^{\left (-\right )} -\bar{s}_{ 1}& =& e^{z/2}\left [-j\mbox{ ch}\left (\frac{z} {2}\sqrt{\mbox{ -}}\right ) +\sigma \mbox{ sh}\left (\frac{z} {2}\sqrt{\mbox{ -}}\right )\right ].{}\end{array}$$
(66)

The trajectory for \(s_{1,z}^{\left (+\right )}\) is fully determined by the production function because these firms are not responsive to markets. The trajectory for \(s_{1,z}^{\left (-\right )}\) is determined by its initial conditions up to a single parameter σ which will be determined by matching conditions when successful innovators enter the markets.

The market prices and the shadow prices of successful type-1 firms become equal at some time z 1, which we will identify numerically. (The existence of a unique intersection is assured because the shadow prices of successful firms are falling while the market prices that can be maintained by the unsuccessful firms are rising, during the initial post-innovation interval.)

When the successful type-1 firms have entered the markets, their stocks relax with a fixed offset equal to the difference of late-time steady-state stocks, according to the functions

$$\displaystyle{ s_{1,z}^{\left (+\right )} -\tilde{s}_{ 1} = s_{1,z}^{\left (-\right )} -\bar{s}_{ 1} = \left (s_{1,z_{1}}^{\left (-\right )} -\bar{s}_{ 1}\right )e^{\left (z-z_{1}\right )\left (\sqrt{\mbox{ +}}\,-1\right )/2} }$$
(67)

The undetermined parameter σ in Eq. (66) is set by the requirement that the total offering q 1, t be continuous through the transition at z = z 1, because continuity of q 1 is required for continuity of the price against which firms perform their discounting.

In the numerical solutions of Sect. 6.2.2, the radicals determining the relaxation time constants (65) evaluate to \(\sqrt{ \mbox{ +}} = 3\) and \(\sqrt{\mbox{ -}} = \sqrt{11} \approx 3.3166\). The resulting time constants (63) are given by \(1/\rho _{\pi }\tau = \left (\pm \sqrt{11} - 1\right )/2\) for t ≤ t 1; 1∕ρ π τ = 1 for t > t 1. The matching parameter that makes both prices and quantities continuous is σ ≈ −0. 14536. The remaining features of these solutions are presented as plots in the main text.

1.2.3 Terminal Transient

A terminal transient is solved in terms of the divergences of the three working stocks from their steady-state turnpike values. The functional forms (using properties of non-cooperative equilibria previously derived for stocks when all firms optimize against a shared price system) are given by

$$\displaystyle\begin{array}{rcl} s_{1,t}^{\left (+\right )} -\tilde{s}_{ 1} = s_{1,t}^{\left (-\right )} -\bar{s}_{ 1}& =& \left (s_{1,T}^{\left (-\right )} -\bar{s}_{ 1}\right )e^{\left (t-T\right )/\tau } \\ s_{2,t} -\bar{s}_{2}& =& \left (s_{2,T} -\bar{s}_{2}\right )e^{\left (t-T\right )/\tau }.{}\end{array}$$
(68)

When (as is the case in the numerical example) γ 1 = γ 2 = ρ π ∕2, the time constant in both divergences is given by the negative root in the second line of Eq. (63), which evaluates to

$$\displaystyle{ \frac{1} {\tau } = -\frac{\left (\sqrt{+} + 1\right )} {2} \rho _{\pi } = -2\rho _{\pi }. }$$
(69)

The two parameters in the solution (68), \(s_{1,T}^{\left (-\right )}\) and s 2, T , are determined by the requirements that \(\left (a_{1,T} - a_{2,T}\right ) = 0\) and \(\left (a_{1,T} + a_{2,T}\right ) = 0\). Initial conditions are \(\left (a_{1,t} + a_{2,t}\right ) = 0\) as t → −, and \(\rho _{C}\left (a_{1,t} - a_{2,t}\right ) = \tilde{b}_{1} -\tilde{b}_{2}\) of the turnpike solution for t → −. Results of numerical solution are shown in the figures of Sect. 6.2.3.

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Shubik, M., Smith, E. (2015). Varying the Money Supply of Commercial Banks. In: Bourguignon, JP., Jeltsch, R., Pinto, A., Viana, M. (eds) Dynamics, Games and Science. CIM Series in Mathematical Sciences, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-319-16118-1_36

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