Mutual funds’ performance rankings are widely publicized in the media and have a strong impact on fund flows (see, e.g., Sirri and Tufano, 1998). In this paper, we study risk taking incentives of mutual fund managers who have ranking objectives (as in a tournament). First, in a two-period model, we analyze the game played by two risk-neutral fund managers with ranking objectives. We show that i...

The paper investigates the role of trust in fund managers’ investment process. Three types of trust personal trust, organizational trust and system trust have been identified in Chinese fund managers’ investment practice. The impacts of different types of trust on mutual funds’ performance are then examined empirically. Through an in-depth investigation of 96 actively managed Chinese mutual fun...

Based on large-scale bilingual corpora and the theories of vector space model and lexical mutual information, this paper explores the application of the traditional monolingual IR technology to converting the translation of query sentence to the computation of the boost value of query keyword translations in the bilingual dictionary, so that the target language query sentence is reconstructed. ...

Several methodologies have been developed to identify genes and classify DNA sequences into coding and non-coding sequences. This classification process is fundamental in gene finding and gene annotation tools and is one of the most challenging tasks in bioinformatics and computational biology. The approach described herein measures mutual information (MIM) found in DNA sequences at the amino a...

Multi-Temporal Remote Sensing Images Hua-mei Chen Department of Computer Science and Engineering University of Texas at Arlington, Arlington, TX 76019, USA Pramod K. Varshney and Manoj K. Arora Department of Electrical Engineering and Computer Science Syracuse University, Syracuse, NY 13244 Abstract Accurate registration of multi-temporal remote sensing images is essential for various change de...

This paper proposed a new query translation method based on the mutual information matrices of terms in the Chinese and English corpora. Instead of looking up a • bilingual phrase dictionary, the compositional phrase (the translation of phrase can be derived from the translation of its components) in the query can be indirectly translated via a general-purpose Chinese-English dictionary look-up...

The increasing availability of networked access to multilingual text collections has generated increased interest in the development of e ective and e cient cross-language text retrieval technology. Examples of cross-language text retrieval applications are discussed and a classi cation of known approaches is introduced. This is used to structure a comprehensive discussion of published research...

Many social networks, e.g., Slashdot and Twitter, can be represented as directed graphs (digraphs) with two types of links between entities: mutual (bi-directional) and one-way (uni-directional) connections. Social science theories reveal that mutual connections are more stable than one-way connections, and one-way connections exhibit various tendencies to become mutual connections. It is there...

In this paper, we generalize the fundamental relation between the derivative of the mutual information and the minimum mean squared error (MMSE) to multiuser setups. We prove that the derivative of the mutual information with respect to the signal to noise ratio (SNR) is equal to the MMSE plus a covariance induced due to the interference, quantified by a term with respect to the cross correlati...

Reliability of similarity measure is a key factor for successful image matching. In this paper, mutual information is introduced to template image matching as a similarity measure. Its ability of adapting to different scene, overcoming the grey reversal, and factors which influence on the successful matching of mutual information method are discussed. These factors include signal-noise ratio, i...