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Journal ArticleDOI

Knowing Me, Knowing You: Trader Anonymity and Informed Trading in Parallel Markets *

TLDR
In this article, the authors empirically analyzed whether the degree of trader anonymity is related to the probability of information-based trading in the German stock market and found that the probability for informed trading is significantly lower in the floor based trading system.
About
This article is published in Journal of Financial Markets.The article was published on 2001-10-01. It has received 169 citations till now. The article focuses on the topics: Trading turret & Electronic trading.

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Citations
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Journal ArticleDOI

African Enterprise Clusters and Industrialization: Theory and Reality

TL;DR: In this paper, the authors examined the theoretical argument that geographic and sectoral clustering enables enterprises to overcome constraints to growth and development, and found that certain anomalies could only be explained by other contextual variables.
Book ChapterDOI

A Social Network-Based Recommender System (SNRS)

TL;DR: This chapter presents a new paradigm of recommender systems which can utilize information in social networks, including user preferences, item’s general acceptance, and influence from social friends, and develops a probabilistic model to make personalized recommendations from such information.
Proceedings ArticleDOI

Personalized recommendation of social software items based on social relations

TL;DR: Evaluation indicates superiority of the familiarity network as a basis for recommendations, and an important instant effect of explanations is found - interest rate in recommended items increases when explanations are provided.

Do Dark Pools Harm Price Discovery

TL;DR: In this article, a dark pool alongside an exchange concentrates price-relevant information into the exchange and improves price discovery, which coincides with reduced exchange liquidity, making the exchanges more attractive to informed traders.
Journal ArticleDOI

Web 2.0 Social Networks: The Role of Trust

TL;DR: The central question in this article is why so many social network users are being so trusting, and a theoretical framework is developed, which facilitates a multi-level and multi-dimensional analysis of research problems related to trust in OSNs.
References
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Journal ArticleDOI

Bid, ask and transaction prices in a specialist market with heterogeneously informed traders

TL;DR: The presence of traders with superior information leads to a positive bid-ask spread even when the specialist is risk-neutral and makes zero expected profits as discussed by the authors, and the expectation of the average spread squared times volume is bounded by a number that is independent of insider activity.
Journal ArticleDOI

Inferring Trade Direction from Intraday Data

TL;DR: In this paper, the authors evaluate alternative methods for classifying individual trades as market buy or market sell orders using intraday trade and quote data and identify two serious potential problems with this method, namely, that quotes are often recorded ahead of the trade that triggered them and that trades inside the spread are not readily classifiable.
Journal ArticleDOI

Price, trade size, and information in securities markets*

TL;DR: In this paper, the effect of trade size on security prices was investigated and it was shown that informed traders tend to trade larger amounts at any given price, and market makers' pricing strategies must also depend on trade size.
Journal ArticleDOI

Liquidity, Information, and Infrequently Traded Stocks

TL;DR: In this paper, the authors investigated whether differences in information-based trading can explain observed differences in spreads for active and infrequently traded stocks and found that the probability of information based trading is lower for high volume stocks.
Journal ArticleDOI

Time and the Process of Security Price Adjustment

David Easley, +1 more
- 01 Jun 1992 - 
TL;DR: In this paper, the authors show that time affects prices, with the time between trades affecting spreads, and that the absence of trades is correlated with volume, and demonstrates how volume affects the speed of price adjustment.
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