1,721,216 research outputs found
The social value of information uncertainty
We analyze the welfare implication of information acquisition uncertainty in a Grossman–
Stiglitz economy with endowment shocks. Investors make optimal probabilistic information
acquisition choices subject to an increasing and convex monetary cost. This uncertainty
gives rise to an anticipatory benefit so that informed trading can improve social welfare.
Although informed trading distorts risk-sharing and destroys trading opportunities, the welfare
improvement can be significant when investors have weak risk-sharing incentives, the endowment shocks are small and less informative about the aggregate endowment, and the risky
payoff information is more noisy. Moreover, with heterogeneous endowments, there can be a
continuum of Pareto optimal information-acquisition equilibria. Therefore, regulations aiming
to level the playing field must be exercised with caution
The Social Value of Asymmetric Information Revisited
In contrary to previous literature, we show in the Grossman-Stiglitz model of noisy rational expectation that the social value of asymmetric information can be improved with more informative prices when being informed is uncertain. Investors always benefit from a privately payoff-relevant information, but they have to pay more to increase the probability of observing the information. In equilibrium, this trade-off can lead to high-risk, high return investments. Consequently the marginal expected utility gain from observing the information is not completely washed out by the cost of information acquisition, which leads to Pareto-optimal equilibrium and improves investors' welfare
Are We Better-off for Working Hard?
When traders are uncertain on being informed and make effort to reduce their uncertainty, we would expect an improvement in both the welfare and price efficiency. By considering the\ud
disutility of the effort, we characterize the non-cooperative information game on traders' decision of making effort through a Nash equilibrium and asset price through a noisy rational\ud
expectation equilibrium. We show that making effort to be informed is harmful for social welfare. Also improving market efficiency is always at the cost of welfare reduction.\ud
Therefore, with the disutility of making effort to reduce the uncertainty on being informed, social welfare can be improved when traders make less effort, and more importantly, social\ud
welfare and price efficiency cannot be improved simultaneously
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
Heterogeneous Agent Models in Finance
This chapter surveys the state-of-art of heterogeneous agent models (HAMs) in finance using a jointly theoretical and empirical analysis, combined with numerical analysis from the latest development in computational finance. It provides supporting evidence on the explanatory power of HAMs to various stylized facts and market anomalies through model calibration, estimation, and economic mechanisms analysis. It presents HAMs within the mainstream finance and provides a unified framework in continuous time to study the impact of historical price information on price dynamics, profitability and optimality of fundamental and momentum trading. It demonstrates how HAMs can help to understand stock price co-movements and evolutionary CAPM. It also introduces a new HAMs perspective on house price dynamics and an integrated approach to study dynamics of limit order markets. The survey provides further insights into the complexity and efficiency of financial markets and policy implications
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
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