1,721,097 research outputs found
The minimum liquidity deficit and the maturity structure of central banks' open market operations: lessons from the financial crisis
This paper studies the relationship between the size of the banking sector’s refinancing needs vis-à-vis the central bank and auction rates in its open market operations in times of financial market stress. In a theoretical model, it is found that marginal rates at central bank auctions may increase if the share of troubled banks becomes too high relative to the total size of the banking sector’s refinancing needs. An empirical analysis then aims at determining the size of open market operations needed to absorb large stress levels in interbank money markets and hence contain central bank auction rates. Finally, the paper analyses effects of the composition of open market operations of different maturities on auction rates. It is found that a too high share of longer-term refinancing induces a rise in auction rates which is undesirable. Therefore, the analysis suggests that there is a lower bound for the amount of liquidity provided through short-term operations. JEL Classification: G01, G10, G21Central Bank, financial crisis, money market, Open market operations
Non-standard monetary policy measures and monetary developments
Standard accounts of the Great Depression attribute an important causal role to monetary policy errors in accounting for the catastrophic collapse in economic activity observed in the early 1930s. While views vary on the relative importance of money versus credit contraction in the propagation of this policy error to the wider economy and ultimately price developments, a broad consensus exists in the economics profession around the view that the collapse in financial intermediation was a crucial intermediary step. What lessons have monetary policy makers taken from this episode? And how have they informed the conduct of monetary policy by leading central banks in recent times? This paper sets out to address these questions, in the context of the financial crisis of 2008-09 and with application to the euro area. It concludes that the Eurosystem’s non-standard monetary policy measures have supported monetary policy transmission and avoided the calamity of the 1930s. JEL Classification: E5, E4, E32Great Recession, monetary policy shocks, money and credit, Non-standard monetary policy
Feature Dimensionality Reduction for Mammographic Report Classification
The amount and the variety of available medical data coming from multiple and heterogeneous sources can inhibit analysis, manual interpretation and use of simple data management applications. In the healthcare domain, the development of techniques for enabling health data management, analysis, mining and recognition has become worldwide important. In this paper, the use of the most-known dimensionality reduction techniques on a dataset composed of real mammographic reports is presented. Techniques such as LSI, PCA, and SVD decomposition have been applied to the extracted TF-IDF matrix using less attributes than the original unprocessed matrix and obtaining comparable results. Due to their reliability, LSI and PCA techniques can be efficiently used, increasing any computation feasibility on reduced feature data
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
We 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
Detecting and interpreting financial stress in the euro area
There is a need to find better models and indicators for large disruptive events, not least in order to be more prepared and mitigate their effects. In this paper we take a step in this direction and discuss the performance of a financial stress indicator with a specific focus on the euro area. As far as we know, our indicator is the first attempt to develop an indicator of financial stress with a specific focus on the euro area. It is also the first to exploit the information contained in central bank communication to help measure stress in financial markets. For use in real time, the indicator is able to efficiently extract information from an otherwise noisy signal and provide information about the level of stress in the markets. JEL Classification: E44, E50, G10behavioural finance, central bank communication, Financial stress, Leading Indicator, logit distribution
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