Academia.edu no longer supports Internet Explorer.
To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser.
2000, SSRN Electronic Journal
In this paper we reconsider a macrodynamic model of Blanchard, which integrates output and stock market dynamics in a fundamental way. We add budget equations (and their implications) to all sectors of the economy, and also capital accumulation and growth (but not yet proper wageprice dynamics) and obtain a model of the real-financial interaction with quite different steady state characteristics as compared to the Blanchard approach. We furthermore allow for somewhat sluggish adjustments of share prices and capital gain expectations in place of perfect substitutes and perfect foresight. This brings our approach closer to completion and also makes it much more involved.
European Journal of Economics and Economic Policies: Intervention, 2011
We present a simple macrodynamic model of the real-financial markets inter action with a dynamic multiplier representing the goods market and a structured portfolio choice between money holdings and equities. This is contrasted with Blanchard's (1981) alternative approach, where interest-bearing bonds and equities are perfect substitutes and are subject to myopic perfect foresight, with the result that the usual saddle-point dynamics is established, and where therefore the jump-variable technique of the rational expectations approach is needed in order to tame the explosive nature of the model by assumption. We consider this latter representation a very virtual one in contrast to our descriptive treatment of the interaction of the real with the financial markets. Our implied dynamical system has three dimensions: output, share prices and capital gains expectations. We show that this model exhibits a financial accelerator mechanism that endangers the stability of its stationary s...
SSRN Electronic Journal, 2000
We reformulate and extend the Blanchard model of output dynamics, the stock market and interest rates. Our main contribution is to extend the model to allow imperfect asset substitutability and imperfect forecasts of capital gains in the place of Blanchard's limit case of perfect ...
The Pakistan Development Review, 2013
The finance-growth nexus has become a significant issue in recent macroeconomic modelling and the centre of attention of policy makers. Over the past few decades equity markets have experienced phenomenal growth which has proved to be a major determinant of capital flow to emerging market economies. Naturally, one wants to know how development of equity markets influences the real sector and produces macroeconomic outcomes. In this paper we construct an open economy, structuralist model to examine the short-run and long-run effects of both policy-induced and exogenous shocks on output, the dynamics of stock market valuation and adjustment in monetary base. The model shows that devaluation or capital inflow will boost the economy, while fiscal expansion has deleterious consequences for stock market valuation and investment.
arXiv (Cornell University), 2022
This paper provides a general method to directly translate a classical economic framework with a large number of agents into a field-formalism model. This type of formalism allows the analytical treatment of economic models with an arbitrary number of agents, while preserving the system's interactions and microeconomic features of the individual level. We apply this methodology to model the interactions between financial markets and the real economy, described in a classical framework of a large number of heterogeneous agents, investors and firms. Firms are spread among sectors but may shift between sectors to improve their returns. They compete by producing differentiated goods and reward their investors by paying dividends and through their stocks' valuation. Investors invest in firms and move along sectors based on firms' expected long-run returns. The field-formalism model derived from this framework allows for collective states to emerge. We show that the number of firms in each sector depends on the aggregate financial capital invested in the sector and its firms' expected long-term returns. Capital accumulation in each sector depends both on short-term returns and expected long-term returns relative to neighbouring sectors. For each sector, three patterns of accumulation emerge. In the first pattern, the dividend component of short-term returns is determinant for sectors with small number of firms and low capital. In the second pattern, both short and long-term returns in the sector drive intermediate-to-high capital. In the third pattern, higher expectations of long-term returns drive massive inputs of capital. Instability in capital accumulation may arise among and within sectors. We therefore widen our approach and study the dynamics of the collective configurations, in particular interactions between average capital and expected long-term returns, and show that overall stability crucially depends on the expectations' formation process. Expectations that are highly reactive to capital variations stabilize high capital configurations, and drive low-to-moderate capital sectors towards zero or a higher level of capital, depending on their initial capital. Inversely, low-to moderate capital configurations are stabilized by expectations moderately reactive to capital variations, and drive high capital sectors towards more moderate level of capital equilibria. Eventually, the combination of expectations both highly sensitive to exogenous conditions and highly reactive to variations in capital imply that large fluctuations of capital in the system, at the possible expense of the real economy.
2011
Black-Fama-Hall CPI: Consumer Price Index century, probably Joseph Schumpeter 2 coined the term "veil of money" which is particularly apt to express this difficulty. 3 In a monetised economy, the realities are, so to speak, veiled behind the observable flows of money. A significant part of the present thesis is dedicated to removing this veil from the financial market. What are the realities of the phenomena that can be observed there? But we won't leave it at that. Although the brushing aside of the veil of money brings some useful results, it does not, as also Schumpeter remarks, allow for a complete comprehension of all relevant processes. 4 After all, it cannot be denied that the "realities of the phenomena" on the financial market are actually effectuated by money transactions. Hence, in order to grasp the rationale of the financial market, it is not enough to understand the "realities" on the one hand, and the cash flows on the other. The connection between the two must be clarified, too. Therefore, the following study also provides an in-depth analysis of money and its purchasing power. In the end, the aim is not to merely remove the veil of money from the financial market, but to examine it in detail. In modern monetary theory, the link between the "outward mechanism of paying and spending" and the "realities of the phenomena" is dealt with mainly in two different ways. The first one is based on Keynesian short-run macroeconomic analysis. It finds its most familiar expression in the so-called IS/LM-model which is contained in nearly all modern textbooks on macroeconomics. This model traces back to John Hicks 5 who, himself, based it on the famous General Theory of Employment, Interest, and Money 6 by John Maynard Keynes. In the IS/LM-model, the link between monetary spending and the "realities" occupies the centre stage. In fact, monetary expenditures 2
SSRN Electronic Journal, 2000
Research by this group has produced significant advances in the application and development of time series econometrics, issues of monetary policy, financial markets, forecasting and high frequency data analysis. The group of Macroeconomics and Financial Markets was created with the arrival of David Peel, who is in the top 2% of most highly-cited economists according to REPEC, in 2004. Its substantial growth over the last decade has been accompanied by a diversification in both theoretical and applied aspects of macroeconomics and financial economics. Their research has produced advances in the application of nonlinear time series models to parity conditions and modelling of exchange rates in the presence of commodity market frictions. In the domain of time series econometrics their work has shed light on the effects of temporal aggregation on estimation methods and on the computation of IRFs; the impact of conditional heteroskedasticity on linearity tests and model specification procedures; the performance of forecast evaluation measures, and the modeling and forecasting of high frequency data in equity and foreign exchange markets. Members of the group are currently working on new tests for detecting rational bubbles in asset prices; applied Bayesian econometrics; and volatility modelling and forecasting. Members of this research group support the UK Housing Market Observatory. This website provides real-time monitoring of the UK national and regional real estate markets and indicators of house price exuberance based on econometric methods. This information can be used to identify the time when exuberance escalates in housing markets and the degree of synchronisation across regions in the UK. This research group has recently developed the macro theory capacity and has complemented the already existing interest in theoretical modeling of central banks with asymmetric preferences with advances in the analysis of optimal monetary and fiscal policy in New Keynesian models embodying limited asset market participation and habit persistence; as well as the macro-prudential roles of bank capital regulation and monetary policy in DSGE models with endogenous financial frictions. Other topics that our colleagues have contributed to in the recent past include the estimation of stochastic frontier models; efficiency and productivity analysis, in particular, of the banking sector; the analysis of gambling markets, and the study of Hayek.
Studies in Nonlinear Dynamics & Econometrics, 2002
In this paper we construct a model of stock market, interest rate and output interaction which is a generalization of the well known 1981 model of Blanchard. We allow for imperfect substitutability between stocks and bonds in the asset market and for lagged portfolio adjustment. The reaction of agents to changes in the stock market is dependent on the state of the economy. We analyze the dynamics of the model and its local stability properties. A discretization in terms of observable variables is derived. Some empirical results for U.S. output, stock price and interest rate data are presented using nonlinear least square estimates. We perform some stochastic simulations of the estimated non-linear model, obtaining distributions of the key economic quantities, their autocorrelation structure and financial statistics which are compared with historical data and RBC models. In addition, following Mittnik and Zadrozny (1993) a VAR with confidence bands for historical data is estimated and cumulative impulse-response functions compared to the model's impulse response functions. We find that the model captures a number of features of the data.
Journal of Economic Surveys, 2011
This paper presents the 'KMGT' (Keynes-Metzler-Goodwin-Tobin) portfolio model and studies its stability properties. The approach to macrodynamic modelling taken here extends the KMG model of , focusing in particular on the incorporation of financial markets and policy issues. The original KMG model considered three asset markets (equities, bonds and money) but depicted them in a rudimentary way so that they had little influence on the real side of the model. The only financial market influencing the real side of the economy was the money market (via an LM curve theory of interest). Here Tobin's portfolio choice theory models the demand for each asset in such a way that the total amount of assets that households want to hold equals their net wealth, which is a stock constraint attached to portfolio choice. There is also a flow constraint, that the net amount of assets accumulated (liabilities issued) by one sector must equal its net savings (expenditures). The Tobinian macroeconomic portfolio approach characterizes the potential for financial market instability, focusing on the interconnectedness of all three markets. The paper goes on to study the potential for labour market and fiscal policies to stabilize unstable macroeconomies.
SSRN Electronic Journal, 2000
Atlantic Economic Journal, 1979
In a recent issue of this journal, Arthur Benavie [1976] argues that asset markets have been formulated in two different ways in macroeconomic models) In Tobin's models, the stock of any asset is the quantity which exists at the beginning of the period so that current period asset stocks are not influenced by current asset flows. On the other hand, in Patinkin's model, the stock of an asset is the quantity existing at the end of the period, implying that the current period asset stock contains the entire current period flow. Benavie contends that both the Tobin and the Patinkin formulations are special cases o~f a more general model wherein some portion, though not necessarily all, of the current period flow is included in the current period asset stock.
Journal of Economic Dynamics and Control, 2014
As recent experience suggests, the most significant economic fluctuations are those that combine real and financial factors. This paper works out a simple model that couples a version of Goodwin's (1967) growth cycle model of real fluctuations with insights drawn from a model of financial fluctuations based on Minsky's financial instability hypothesis (Vercelli, 2000; Sordi and Vercelli, 2006, 2012). The model suggested substantially modifies that of Keen (1995), who combined insights from Goodwin and Minsky within a model of fluctuating growth. In the real part of the model we introduce the possibility of disequilibrium in the goods market and formalize a mechanism of output adjustment based on the conventional dynamic multiplier. The model so obtained may exhibit persistent dynamics and provide insights to enable better understanding of the nature of real-world fluctuations.
Journal of Economic Interaction and Coordination, 2021
We propose a model economy consisting of interdependent real, monetary and stock markets. The money market is influenced by the real one through a standard LM equation. Private expenditures depend on stock prices, which in turn are affected by interest rates and real profits, as these contribute to determine the participation level in the stock market. An evolutionary mechanism regulates agents’ participation in the stock market on the basis of a fitness measure that depends on the comparison between the stock return and the interest rate. Relying on analytical investigations complemented by numerical simulations, we study the economically relevant static and dynamic properties of the equilibrium, identifying the possible sources of instabilities and the channels through which they spread across markets. We aim at understanding what micro- and macro-factors affect the dynamics and, at the same time, how the dynamics of asset prices, which are ultimately influenced by the money marke...
Review of International Economics, 2003
In this paper, we study the effect of financial markets on the investment of a two-good two-country economy with stochastic production in a dynamic framework. Each country produces and invests only one good and, therefore, makes decisions as a central planner in an optimal growth model. Trade between consumers of both countries, however, takes place on competitive (spot or financial) markets. We compare the investment-consumption decisions of both 'market' models with the benchmark-case of an integrated world-equilibrium. In the log-linear case, we can uniquely characterize the state-dependent preferences of consumers that lead to dynamically efficient investment decisions. We show that the investment decisions in both 'market' models are, in general, inefficient as compared with the efficient, or integrated world economy, case.
Journal of Macroeconomics, 1995
Frequently, intertemporal models, for example, Uzawa's (1969) work on growth, are based on the separation of investment and the financing decisions of firms. Finance variables are disregarded. In contrast, along the lines of the theory of imperfect capital markets, the ...
SSRN Electronic Journal, 2000
arXiv (Cornell University), 2024
In a series of precedent papers, we have presented a comprehensive methodology, termed Field Economics, for translating a standard economic model into a statistical field-formalism framework. This formalism requires a large number of heterogeneous agents, possibly of different types. It reveals the emergence of collective states among these agents or type of agents while preserving the interactions and microeconomic features of the system at the individual level. In two prior papers, we applied this formalism to analyze the dynamics of capital allocation and accumulation in a simple microeconomic framework of investors and firms. Building upon our prior work, the present paper refines the initial model by expanding its scope. Instead of considering financial firms investing solely in real sectors, we now suppose that financial agents may also invest in other financial firms. We also introduce banks in the system that act as investors with a credit multiplier. Two types of interaction are now considered within the financial sector: financial agents can lend capital to, or choose to buy shares of, other financial firms. Capital now flows between financial agents and is only partly invested in real sectors, depending on their relative returns. We translate this framework into our formalism and study the diffusion of capital and possible defaults in the system, both at the macro and micro level. At the macro level, we find that several collective states may emerge, each characterized by a distinct level of average capital and investors per sector. These collective states depend on external parameters such as level of connections between investors or firms' productivity. The multiplicity of possible collective states is the consequence of the nature of the system composed of interconnected heterogeneous agents. Several equivalent patterns of returns and portfolio allocation may emerge. The multiple collective states induce the unstable nature of financial markets, and some of them include defaults may emerge. At the micro level, we study the propagation of returns and defaults within a given collective state. Our findings highlight the significant role of banks, which can either stabilize the system through lending activities or propagate instability through loans to investors.
Carnegie-Rochester Conference Series on Public Policy, 1984
The treatment of the stock market in finance and macroeconomics exemplifies many of the important differences in perspective between the two fields. In finance, the stock market is the single most important market with respect to corporate investment decisions. In contrast, macroeconomic modelling and policy discussion assign a relatively minor role to the stock market in investment decisions. This paper explores four possible explanations for this neglect and concludes that macro analysis should give more attention to the stock market. Despite the frequent jibe that "the stock market has forecast ten of the last six recessions," the stock market is in fact a good predictor of the business cycle and the components of GNP. We examine the relative importance of the required return on equity compared with the interest rate in the determination of the cost of capital, and hence, investment. In this connection, we review the empirical success of the Q theory of investment which relates investment to stock market evaluations of firms. One of the explanations for the neglect of the stock market in macroeconomics may be the view that because the stock market fluctuates excessively, rational managers will pay little attention to the market in formulating investment plans. This view is shown to be unfounded by demonstrating that rational managers will react to stock price changes even if the stock market fluctuates excessively. Finally, we review the extremely important issue of whether the market does fluctuate excessively, and conclude that while not ruled out on a priori theoretical grounds, the empirical evidence for such excess fluctuations has not been decisive.
Cambridge Journal of Economics, 2011
Resumo: Este texto argumenta que modelos de "consistência entre fluxos e estoques" -i.e. modelos que identificam os agentes econômicos com as principais categorias sociais/setores institucionais, descrevem o comportamento desses agentes no curto prazo e tratam de forma consistente as implicações patrimoniais desses comportamentos "período a período" -são (i) perfeitamente compatíveis com empreendimentos intelectuais (teóricos ou históricos) inspirados na visão e nas teorias elaboradas por Keynes ao longo de toda sua carreira; (ii) a ferramenta teórica ideal para análises pós-keynesianas de médio prazo; e, portanto, (iii) cruciais para a afirmação do projeto de pesquisa pós-keynesiano mais amplo. Palavras-chave: fluxos e estoques; análises macrodinâmicas; "Escola pós-keynesiana".
Loading Preview
Sorry, preview is currently unavailable. You can download the paper by clicking the button above.