1,721,023 research outputs found
Transaction costs and the asymetric price impact of block trades
Full text linkThe article examines the impact of transaction costs on the trading strategy of informed institutional investors in a sequential trading market where traders can choose to transact a large or a small amounts of stock. The analysis shows how the trading strategy of informed investors and the price impact of their trades depends on market conditions. The main prediction of the model is that institutional buyers are, on average, more aggressive than institutional sellers in bearish markets and less aggressive in bullish markets. Hence, the price impact is higher for purchases when market conditions are bearish, while it is higher for sales when market conditions are bullish. However, this asymmetry vanishes during strongly bearish or bullish phases, when information-based orders stop because the informational advantage of institutional investors becomes too small with respect to the transaction costs
ASYMMETRY IN THE PERMANENT PRICE IMPACT OF BLOCK PURCHASES AND SALES: THEORY AND EMPIRICAL EVIDENCE
Full text linkThis paper extends previous research which has examined the market impact of large transactions in bull and bear markets by examining the information effects of trades.
Previous research has demonstrated that the information effects of buy trades are greater
than the information effects of sell trades. We develop a theoretical model which predicts
that this difference is greater in bear markets than bull markets, consistent with the (almost
counter-intuitive) proposition that buy trades are relatively more informed in bear markets.
Using a sample of trades executed on the NYSE in bull and bear market periods, we find evidence consistent with our primary theoretical model
LIQUIDITY OF FUTURES MARKETS OVER THE LAST QUARTER OF A CENTURY: TECHNOLOGY & MARKET STRUCTURE VERSUS ECONOMIC INFLUENCES
Full text linkThis study examines the major technological and market forces that have acted on the liquidity of futures markets over almost the last quarter of a century – equivalent to Professor Robert Webb’s tenor as Editor-in-Chief at the Journal of Futures Markets. We examine the impact of electronic trading replacing open outcry, the impact of high-frequency trading and co-located trading, compare the liquidity impacts of these developments with the impact of major economic events, including the Global Financial Crisis and Covid-19 Pandemic. Using a stock index futures contract traded on Australian futures exchanges as an example, we find that technological advances have had a statistically significant but almost imperceptible influence on measures of liquidity of Australian futures contracts. In contrast, economic crises, and crashes such as the Global Financial Crash and the Covid-19 crash have had a massive and sustained impact on the liquidity of futures markets. Our results suggest that liquidity effects from technological innovations, while important, remain dwarfed by those from extreme outlier events
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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