1,720,977 research outputs found
Solving asset pricing models with stochastic volatility
No full textThis paper provides a closed-form solution for the price-dividend ratio in a standard asset pricing model with stochastic volatility. The growth rate of the endowment is a first-order Gaussian autoregression, while the stochastic volatility innovations can be drawn from any distribution for which the moment-generating function exists. The solution is useful in allowing comparisons among numerical methods used to approximate the nontrivial closed form. The closed-form solution reveals that, when using perturbation methods around the deterministic steady state, the approximate solution needs to be sixth-order accurate in order for the parameter capturing the conditional standard deviation of the stochastic volatility process to be present.</p
A financial accelerator through coordination failure
Full text linkThis paper studies the effect of liquidity crises in short-term debt markets in a dynamic general equilibrium framework. Creditors (retail banks) receive imperfect signals regarding the profitability of borrowers (wholesale banks) and, based on these signals and their beliefs about other creditors actions, choose whether to rollover funding, or not. The uncoordinated actions of creditors cause a suboptimal incidence of rollover, generating an illiquidity premium. Leverage magnifies the coordination inefficiency. Illiquidity shocks in credit markets result in sharp contractions in output. Policy responses are analyzed
Why global and local solutions of open-economy models with incomplete markets differ and why it matters
No full textWe compare global (fixed-point iteration) and local (first-order, higher-order, risky-steady-state, and quasi-linear) solutions of open-economy incomplete-markets models. Cyclical moments of a workhorse endowment model are broadly in line with the data and similar across solutions calibrated to the same data targets, but impulse responses and spectral densities differ. Alternative local solutions yield nearly identical results. Calibrating them requires nontrivial interest-rate elasticities that make net foreign assets (NFA) “sticky,” causing them to differ sharply from global solutions in experiments altering precautionary savings (e.g., increasing income volatility, adding capital controls). Analytic and numerical results show that our findings are due to the near-unit-root nature of NFA under incomplete markets and imprecise solutions of their autocorrelation. These findings extend to a Sudden Stops model with an occasionally binding collateral constraint. In addition, quasi-linear methods yield smaller financial premia and macroeconomic responses when the constraint binds.</p
The signalling channel of negative interest rates
Full text linkNegative policy rates can convince markets that deposit rates will remain lower-for-longer, even when current deposit rates are constrained by zero. This is the signalling channel of negative interest rates. We analyse the optimality and effectiveness of negative rates in the context of this novel transmission channel. In a stylized model, we prove two necessary conditions for optimality: time-consistency and a preference for policy smoothing. In an estimated model, we show the signalling channel dominates banks’ costly interest margin channel. However, the effectiveness of negative rates depends sensitively on the degree of policy inertia, level of reserves, and ZLB duration
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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