122,055 research outputs found

    Optimal Monetary Policy and Stock-Price Dynamics in a non-Ricardian DSGE Model

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    In a DSGE model with non-ricardian agents, à la Blanchard-Yaari, stock-price fluctuations affect the dynamics of aggregate consumption through wealth effects. This wealth effects can be characterized as an additional dynamic distortion with respect to the social planner allocation, related to the cross- sectional consumption dispersion that the decentralized allocation implies. By exploiting the specific cross-sectional distribution that the model implies for individual financial wealth, this paper derives the welfare criterion consistent with this economy, and shows that it features an additional target besides output-gap and price stability: financial stability. The ultimate implication is that price stability is no longer necessarily optimal, even absent cost- push shocks. Given the quadratic form of the welfare criterion, some fluctuations in output and inflation will be optimal as long as they reduce the volatility of financial wealt

    Measurement Errors and the Kalman Filter: A Unified Exposition

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    http://dptea.luiss.edu/dptea/files/llwp45.pd

    Stock Prices and Incomplete Information: Implications for Monetary Policy

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    This paper derives optimal monetary policy when exogenous stochastic stock-price misalignments affect real activity, and analyzes what are the effects of incomplete in- formation in pursuing such optimal policy. Within a standard Dynamic New Keynesian (DNK) model with physical capital, two structural innovations are supposed to be driving stock prices dynamics: persistent productivity shocks affect the long-run component, while temporary stochastic mis- alignments are effective only in the short-term. The results suggest that, provided that it is able to identify in real time what is the source of the current dynamics of stock prices, an optimizing Central Bank should not respond to productivity shocks while a stock-price misalignment calls for intervention. In the case the Central Bankers have only access to limited information, they can’t isolate fundamental movements in stock prices from exogenous misalignments. In this case, and provided that the information available is efficiently used, the optimal mone- tary policy bias is large when the underlying shock is on productivity, while turns out to be very small in the case of a stochastic misalignment. http://dptea.luiss.edu/dptea/files/llwp27.pd

    Local and global prediction on stress-strain behavior of FRP-confined square concrete sections

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    The objective of this paper is to introduce a modified local-to-global methodology to understand the effect of fiber reinforced polymer (FRP) confinement on square concrete section. Traditionally, the effect of confinement on square sections has been evaluated through the so-called "arching effect" developed for steel and FRP-confined sections. FRP-confined square section was characterized by a non-uniform confinement stress field, which makes concrete strength strongly position dependent. This novel concept resulted in the "arching effect" being re-examined, which led to a methodology to evaluate the stress-strain behavior of concrete subject to arbitrary FRP confinement stress ratio at a local level. Because of the conception and realization of an innovative true-triaxial testing machine, by the first authors of this paper, research could be extended thus allowing for new test results that form the base of 1) an improved local constitutive relationship and 2) a modified approach for the evaluation of axial stress-strain behavior of an FRP confined square concrete column. The proposed approach has been validated by a set of experimental results of square columns and gave a new perspective on FRP confinement efficiency for square section

    Parametric investigation on the tensile response of GFRP elements through a discrete lattice modeling approach

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    Fiber Reinforced Polymers (FRP) are a relatively new construction material. Their attractive features, such as lightness and durability, are currently paving an attractive way for structural engineering applications. However, since their mechanical properties are strongly influenced by the arrangement of the fibers (which is dictated by the production process), more research is still needed to fully characterize the material and to predict its behavior under different multi-axial actions. In this regard, the goal of the present manuscript is to shed light on these aspects by means of numerical analyses according to a lattice modeling approach proposed in (Fascetti et al., 2016) for FRP materials and herein modified to better capture the uniaxial alignment of pultruded elements. Novelty of the work and main contribution to the field is the definition of a numerical procedure for the saturation of the computational domain with different pointsets (i.e. a regular and a random one) in order to increase the accuracy of the method. The proposed approach is validated for tensile loadings, both in terms of mechanical properties and failure modes, through a parametric investigation carried out to simulate the results of the experimental campaign reported in Quadrino et al. (2018) which employed small-scale specimens directly extracted from pultruded glass fiber reinforced polymers (GFRP) beams
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