Investment Function

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D W Petr - One of the best experts on this subject based on the ideXlab platform.

  • Investment Function enhanced fairness and performance in multi hop wireless networks
    Mobile Adhoc and Sensor Systems, 2006
    Co-Authors: Pradeepkumar Mani, D W Petr
    Abstract:

    In multi-hop wireless networks, longer-hop UDP and especially TCP flows receive a smaller fraction of the available bandwidth than single-hop flows in the absence of specific resource allocation techniques. Also, inter-node interference effects in multi-hop networks lead to incredibly poor bandwidth utilization. This paper begins to address these and other related issues through the novel concept of an Investment Function which captures the Investments (network resources consumed, price paid for service quality, etc.) that are made in packet flows. The Investment value of packets or packet flows can then be used to control their treatment in the network, with the goal of providing fair and efficient utilization of network resources through minimizing wasted Investment and/or maximizing Investment throughput. We show that a simple Investment Function can significantly improve flow fairness by smoothing out the disparities in distribution of bandwidth among flows with different hop length while simultaneously improving bandwidth utilization efficiency.

  • MASS - Investment Function: Enhanced Fairness and Performance in Multi-hop Wireless Networks
    2006 IEEE International Conference on Mobile Ad Hoc and Sensor Sysetems, 2006
    Co-Authors: Pradeepkumar Mani, D W Petr
    Abstract:

    In multi-hop wireless networks, longer-hop UDP and especially TCP flows receive a smaller fraction of the available bandwidth than single-hop flows in the absence of specific resource allocation techniques. Also, inter-node interference effects in multi-hop networks lead to incredibly poor bandwidth utilization. This paper begins to address these and other related issues through the novel concept of an Investment Function which captures the Investments (network resources consumed, price paid for service quality, etc.) that are made in packet flows. The Investment value of packets or packet flows can then be used to control their treatment in the network, with the goal of providing fair and efficient utilization of network resources through minimizing wasted Investment and/or maximizing Investment throughput. We show that a simple Investment Function can significantly improve flow fairness by smoothing out the disparities in distribution of bandwidth among flows with different hop length while simultaneously improving bandwidth utilization efficiency.

Stefano Siviero - One of the best experts on this subject based on the ideXlab platform.

  • An Investment-Function-based measure of capacity utilisation.: Potential output and utilised capacity in the Bank of Italy's quarterly model
    Economic Modelling, 2001
    Co-Authors: Giuseppe Parigi, Stefano Siviero
    Abstract:

    Abstract Measures of potential output and the output gap are increasingly being developed and used to concisely quantify and monitor the risk of price accelerations stemming from rises in aggregate demand that are not met by a corresponding increase in supply. They often play a prominent role in the price determination mechanisms of macroeconometric models. In this paper we build a measure of potential private-sector value added for the Italian economy that is consistent with the capital accumulation process in the Banca d'Italia's Quarterly Model — and more generally with the rest of the supply-side block of that model. More specifically, we exploit the fact that the Investment Function can be thought of as a relationship transforming desired gross additions to capacity output into capital accumulation by means of a conversion factor (the optimal capital/output ratio). Thus, if one removes the component of Investment decisions that stems from changes in the relative price of the production factors, (i.e. in the optimal capital/output ratio), then a measure of the desired gross addition to capacity may be constructed. The results draw a cyclical picture of the degree of capacity utilisation for the period 1970–1997 that is roughly in line with those produced by the Wharton and Hodrick–Prescott filter approaches, as well as with the pictures resulting from the ISAE, IMF, European Commission and OECD measures of the output gap. Our Investment-Function-based measure appears to be a promising indicator of the pressure exerted on prices by demand accelerations. Its empirical properties are, on the whole, acceptable and plausible.

  • an Investment Function based measure of capacity utilisation potential output and utilised capacity in the bank of italy s quarterly model
    2000
    Co-Authors: Giuseppe Parigi, Stefano Siviero
    Abstract:

    In this paper we build a measure of potential private-sector value added for the Italian economy that is consistent with the capital accumulation process in the Banca d'Italia's Quarterly Model -and more generally with the rest of the supply-side block of that model.

Guy V. G. Stevens - One of the best experts on this subject based on the ideXlab platform.

  • Measurement error in the capital stock and its effect on the Investment Function
    Applied Economics, 2006
    Co-Authors: Guy V. G. Stevens
    Abstract:

    Capital Stock variables appearing in Investment and other equations are almost always constructed by the ‘perpetual inventory method’. A major problem with this method is that the initial real capital stock, K(0), that is implicitly a component of every measure of the capital stock, can rarely be measured with any degree of accuracy. It is shown that such measurement error can frequently lead to severe bias in the estimated coefficients of Investment Functions. This paper proposes a method to bypass this source of measurement error and illustrates its use with a practical application.

  • Internal Funds and the Investment Function
    International Finance Discussion Paper, 1993
    Co-Authors: Guy V. G. Stevens
    Abstract:

    For more than two decades, researchers have discovered repeatedly a statistically significant relationship between a firm's fixed Investment expenditures and its cash flow or retained earnings. The cumulative evidence makes it hard to reject an impact of the firm's internal financial situation on its capital spending.' To many who have followed the theory of Investment over the years, this development seems like an echo from a bygone era-the revival of a theory once thought defunct. In the 1960s and early 1970s, work developing stock-adjustment models and the neoclassical model of Investment seemed to dominate, if not disprove, theories containing liquidity and financial variables [7; 16; 4]. Thus, for example, in a notable article, Jorgenson and Siebert [17] tested alternative theories on the same body of (microeconomic) data and found liquidity or finance-based theories dominated by the neoclassical theory of Investment. The paradox of this revival can be partially explained by noting that financial variables have returned to the explanation of Investment in an eclectic form, often embedded in models which also contain the determinants associated with neoclassical and stock-adjustment models. Thus, in a key article, Coen [5, 164], relying on concepts introduced by Greenberg [11] and Hochman [14], proposed and tested an Investment Function where the speed of adjustment to the neoclassically-determined optimal capital stock was a Function of internal funds:

  • Internal funds and the Investment Function
    1993
    Co-Authors: Guy V. G. Stevens
    Abstract:

    An extensive and increasingly persuasive body of empirical evidence has linked a firm's fixed Investment expenditure to its supply of internally generated funds. The central concerns of this paper are (1) the theoretical justifiability of such empirically-based Investment Functions, particularly those where internal funds affect only the speed of adjustment, and (2) the dynamic properties of this latter class of Investment Functions. A class of models is explored featuring intertemporal profit maximization under conditions of increasing costs of external finance (attributable to bankruptcy or agency costs). The paper shows that, for a major part of the optimal Investment path, the Function implied by the theory is remarkably close to the most promising variant found empirically: the supply of internal funds affects the speed of adjustment, but not the level of the optimal capital stock. Such Investment Functions possess the unusual dynamic property that the speed of adjustment increases monotonically along the optimal path.

Nicolò Pecora - One of the best experts on this subject based on the ideXlab platform.

  • dynamics of a multiplier accelerator model with nonlinear Investment Function
    Nonlinear Dynamics, 2017
    Co-Authors: Ahmad Naimzada, Nicolò Pecora
    Abstract:

    In this paper, we show how a rich variety of dynamics may arise in a simple multiplier–accelerator model when a nonlinearity is introduced in the Investment Function. A specific sigmoidal Functional form is used to model Investments with respect to the variation in national income, in order to bound the level of Investments. In fact, due to obvious material constraints, business strategies cannot sustain infinite Investments. With the aid of analytical and numerical tools, we investigate the stability conditions, bifurcations, as well as periodic and chaotic dynamics for different specifications of the model that may include or not an endogenous government expenditure. We obtain some comparative statics results that shed light on the stabilizing or destabilizing role of the various parameters in the model. Globally, we study multistability phenomena, i.e., the coexistence of different kinds of attractors with a rich and complex dynamic structure.

  • Dynamics of a multiplier–accelerator model with nonlinear Investment Function
    Nonlinear Dynamics, 2016
    Co-Authors: Ahmad Naimzada, Nicolò Pecora
    Abstract:

    In this paper, we show how a rich variety of dynamics may arise in a simple multiplier–accelerator model when a nonlinearity is introduced in the Investment Function. A specific sigmoidal Functional form is used to model Investments with respect to the variation in national income, in order to bound the level of Investments. In fact, due to obvious material constraints, business strategies cannot sustain infinite Investments. With the aid of analytical and numerical tools, we investigate the stability conditions, bifurcations, as well as periodic and chaotic dynamics for different specifications of the model that may include or not an endogenous government expenditure. We obtain some comparative statics results that shed light on the stabilizing or destabilizing role of the various parameters in the model. Globally, we study multistability phenomena, i.e., the coexistence of different kinds of attractors with a rich and complex dynamic structure.

Pradeepkumar Mani - One of the best experts on this subject based on the ideXlab platform.

  • Investment Function enhanced fairness and performance in multi hop wireless networks
    Mobile Adhoc and Sensor Systems, 2006
    Co-Authors: Pradeepkumar Mani, D W Petr
    Abstract:

    In multi-hop wireless networks, longer-hop UDP and especially TCP flows receive a smaller fraction of the available bandwidth than single-hop flows in the absence of specific resource allocation techniques. Also, inter-node interference effects in multi-hop networks lead to incredibly poor bandwidth utilization. This paper begins to address these and other related issues through the novel concept of an Investment Function which captures the Investments (network resources consumed, price paid for service quality, etc.) that are made in packet flows. The Investment value of packets or packet flows can then be used to control their treatment in the network, with the goal of providing fair and efficient utilization of network resources through minimizing wasted Investment and/or maximizing Investment throughput. We show that a simple Investment Function can significantly improve flow fairness by smoothing out the disparities in distribution of bandwidth among flows with different hop length while simultaneously improving bandwidth utilization efficiency.

  • MASS - Investment Function: Enhanced Fairness and Performance in Multi-hop Wireless Networks
    2006 IEEE International Conference on Mobile Ad Hoc and Sensor Sysetems, 2006
    Co-Authors: Pradeepkumar Mani, D W Petr
    Abstract:

    In multi-hop wireless networks, longer-hop UDP and especially TCP flows receive a smaller fraction of the available bandwidth than single-hop flows in the absence of specific resource allocation techniques. Also, inter-node interference effects in multi-hop networks lead to incredibly poor bandwidth utilization. This paper begins to address these and other related issues through the novel concept of an Investment Function which captures the Investments (network resources consumed, price paid for service quality, etc.) that are made in packet flows. The Investment value of packets or packet flows can then be used to control their treatment in the network, with the goal of providing fair and efficient utilization of network resources through minimizing wasted Investment and/or maximizing Investment throughput. We show that a simple Investment Function can significantly improve flow fairness by smoothing out the disparities in distribution of bandwidth among flows with different hop length while simultaneously improving bandwidth utilization efficiency.