1,720,964 research outputs found

    Non-Parametric Statistic for Testing Cumulative Abnormal Stock Returns

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    Due to the non-normality of stock returns, nonparametric rank tests are gaining accceptance relative to parametric tests in financial economics event studies. In rank tests, financial assets’ multiple day cumulative abnormal returns (CARs) are replaced by cumulated ranks. This paper proposes modifications to the existing approaches to improve robustness to cross-sectional correlation of returns arising from calendar time overlapping event windows. Simulations show that the proposed rank test is well specified in testing CARs and is robust towards both complete and partial overlapping event windows.© 2022 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).fi=vertaisarvioitu|en=peerReviewed

    Frontiers of Asset Pricing

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    This book is comprised of articles published in a Special Issue of the Journal of Risk and Financial Management entitled "Frontiers in Asset Pricing" with Guest Editors Professor James W. Kolari and Professor Seppo Pynnonen. The book contains papers in various areas related to asset pricing: (1) models; (2) multifactors; (3) theory; (4) empirical tests; (5) applications; (6) other asset classes; and (7) international tests

    Frontiers of Asset Pricing

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    This book is comprised of articles published in a Special Issue of the Journal of Risk and Financial Management entitled "Frontiers in Asset Pricing" with Guest Editors Professor James W. Kolari and Professor Seppo Pynnonen. The book contains papers in various areas related to asset pricing: (1) models; (2) multifactors; (3) theory; (4) empirical tests; (5) applications; (6) other asset classes; and (7) international tests

    Common long-term and short-term price memory in two Scandinavian stock markets

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    This paper expands the recent empirical studies of international capital market integration in mainly three aspects. First, the study focuses on two Scandinavian markets, the Finnish and the Swedish, that are receiving more and more attention by international analysts in light of the ongoing European integration. For investors, these new markets offer interesting diversification opportunities. Secondly, the study covers a very long time span from January 1920 to December 1994. Thirdly, using a variety of approaches the paper clarifies previously published confusing results regarding the lead - lag structure between these markets. The results indicate that no evident cointegration or even fractional cointegration between the markets exist. An analysis of short-term dynamics indicates that virtually all shock impulses are absorbed in both markets within one month. Sub-period analyses reveal increasing instantaneous causality between the markets in the passage of time, whereas no meaningful Granger-causality is found.

    Bootstrap testing for cointegration of international commodity prices

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    This paper investigates cointegration with respect to nine commodity groups traded on international markets. Nonparametric bootstrapping is utilized in the testing procedure. Of the 21 pairs of price series, investigated here, for 13 the no-cointegration null hypothesis is rejected in favour for the cointegration of the series. In addition to five out of the remaining eight cases that were not cointegrated, a plausible explanation is the prevailing trade policy. Thus a great majority of the institutionally nonregulated cases turn out to get empirical support for being cointegrated. An important statistical finding is that the augmented Dickey-Fuller test for cointegration (CRADF) generally yields p-values that are close to the p-values obtained by the bootstrap testing. But once they differ substantially, it is usually an indication of irregular periods (e.g. structural changes) in the series. The paper conducts also a Monte Carlo simulation experiment to investigate the power and size properties of the tests. Generally the results indicate that the test procedures have pretty low power in small samples. Bootstrapping improves the testing somewhat by leading consistently to a bit more powerful inference.

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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

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    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
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