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The Determinants of Credit Spread Changes.

by Pierre Collin-Dufresne , Robert S Goldstein , J Spencer Martin , Gurdip Bakshi , Greg Bauer , Dave Brown , Francesca Carrieri , Peter Christoffersen , Susan Christoffersen , Greg Duffee , Darrell Duffie , Vihang Errunza , Gifford Fong , Mike Gallmeyer , Laurent Gauthier , Rick Green , John Griffin , Jean Helwege , Kris Jacobs , Chris Jones , Andrew Karolyi , Dilip Madan , David Mauer , Erwan Morellec , Federico Nardari , N R Prabhala , Tony Sanders , Sergei Sarkissian , Bill Schwert , Ken Singleton , Chester Spatt , René Stulz - Journal of Finance , 2001
"... ABSTRACT Using dealer's quotes and transactions prices on straight industrial bonds, we investigate the determinants of credit spread changes. Variables that should in theory determine credit spread changes have rather limited explanatory power. Further, the residuals from this regression are ..."
Abstract - Cited by 422 (2 self) - Add to MetaCart
-grade bond yield changes on Treasury yield changes and stock returns (see Kwan (1996)) we find that the R 2 falls to five percent when the dependent variable is credit spread changes. Hence, while much is known about yield changes, we have very limited knowledge about the determinants of credit spread

Cross-domain collaboration recommendation

by Jie Tang, Sen Wu, Jimeng Sun, Hang Su - In KDD’12 , 2012
"... Interdisciplinary collaborations have generated huge impact to society. However, it is often hard for researchers to establish such cross-domain collaborations. What are the patterns of cross-domain collaborations? How do those collaborations form? Can we predict this type of collaborations? Cross-d ..."
Abstract - Cited by 23 (8 self) - Add to MetaCart
collaborations exhibit very different patterns compared to traditional collaborations in the same domain: 1) sparse connection: cross-domain collaborations are rare; 2) complementary expertise: cross-domain collaborators often have different expertise and interest; 3) topic skewness: cross-domain collaboration

Computational testing : Why, how and how much

by Harvey J Greenberg - ORSA Journal on Computing , 1990
"... This considers the issues associated with performing and reporting computational testing in the context of original research in operations research, particularly in its interface with computer science. The scope includes nonnumerical computations, such as fundamental algorithms and information stru ..."
Abstract - Cited by 10 (0 self) - Add to MetaCart
and reporting computational testing. At the same time, some principles are given and some are tacitly assumed. Section 2 suggests broad methods of testing, recognizing strengths and weaknesses of each. Finally, Section 3 gives guidelines for how much computational testing is appropriate, depending on why

Whom You Know Matters: Venture Capital Networks and Investment Performance,

by Yael Hochberg , Alexander Ljungqvist , Yang Lu , Steve Drucker , Jan Eberly , Eric Green , Yaniv Grinstein , Josh Lerner , Laura Lindsey , Max Maksimovic , Roni Michaely , Maureen O'hara , Ludo Phalippou Mitch Petersen , Jesper Sorensen , Per Strömberg Morten Sorensen , Yael Hochberg , Johnson - Journal of Finance , 2007
"... Abstract Many financial markets are characterized by strong relationships and networks, rather than arm's-length, spot-market transactions. We examine the performance consequences of this organizational choice in the context of relationships established when VCs syndicate portfolio company inv ..."
Abstract - Cited by 138 (8 self) - Add to MetaCart
of specifications. Once we control for network effects in our models of fund and portfolio company performance, the importance of how much investment experience a VC has is reduced, and in some specifications, eliminated. Finally, we provide initial evidence on the evolution of VC networks. Key words: Venture

Cross-domain Collaboration Recommendation

by unknown authors
"... Interdisciplinary collaborations have generated huge impact to so-ciety. However, it is often hard for researchers to establish such cross-domain collaborations. What are the patterns of cross-domain collaborations? How do those collaborations form? Can we predict this type of collaborations? Cross- ..."
Abstract - Add to MetaCart
collaborations exhibit very different patterns com-pared to traditional collaborations in the same domain: 1) sparse connection: cross-domain collaborations are rare; 2) complemen-tary expertise: cross-domain collaborators often have different ex-pertise and interest; 3) topic skewness: cross-domain

Sharing Expertise: Challenges for Technical Support

by Volkmar Pipek, Joachim Hinrichs, Volker Wulf - eds): Expertise Sharing: Beyond Knowledge Management, MIT-Press , 2003
"... Knowledge is an important resource in economy these days. It is typically distributed among different actors and embodied in various artefacts (cf. Saloman 1993; Hutchins 1995; Ackerman and Halverson 1998). So, on the level of national economies as well as on the level of an individual organizations ..."
Abstract - Cited by 15 (5 self) - Add to MetaCart
organizations, it is important to find innovative ways to stimulate learning by sharing knowledge among humans. There are mainly two - often intertwined - ways on how to share knowledge. On the direct way, human actors of different kinds of expertise can communicate and help each other to construct new

Anonymous Hierarchical Identity-Based Encryption (Without Random Oracles). In: Dwork

by Xavier Boyen , Brent Waters - CRYPTO 2006. LNCS, , 2006
"... Abstract We present an identity-based cryptosystem that features fully anonymous ciphertexts and hierarchical key delegation. We give a proof of security in the standard model, based on the mild Decision Linear complexity assumption in bilinear groups. The system is efficient and practical, with sm ..."
Abstract - Cited by 119 (10 self) - Add to MetaCart
, there have been a number of IBE schemes proven secure without random oracles, such as BTE from where r is chosen by the encryptor and g, g 1 , g 3 , and e(g 1 ,ĝ 2 ) are public system parameters. Notice, there are now two elements in G, and between them there is enough redundancy to determine whether a

Materials for an exploratory theory of the network society.

by Manuel Castells , Anthony Giddens , Alain Touraine , Anthony Smith , Benjamin Barber , Peter Hall , Roger-Pol Droit , Sophie Watson , Frank Webster , Krishan Kumar , David Lyon , Craig Calhoun , Jeffrey Henderson , Ramon Ramos , Jose E Rodrigues-Ibanez , Jose F Tezanos , Mary Kaldor , Stephen Jones , Christopher Freeman - The British Journal of Sociology , 2000
"... ABSTRACT This article aims at proposing some elements for a grounded theor y of the network society. The network society is the social structure characteristic of the Information Age, as tentatively identi ed by empirical, cross-cultural investigation. It permeates most societies in the world, in v ..."
Abstract - Cited by 122 (0 self) - Add to MetaCart
ABSTRACT This article aims at proposing some elements for a grounded theor y of the network society. The network society is the social structure characteristic of the Information Age, as tentatively identi ed by empirical, cross-cultural investigation. It permeates most societies in the world

Utilizing Expertise in the geographically Dispersed Organization

by Wai Fong Boh, Yuqing Ren, Sara Kiesler, Robert Bussjaeger , 2005
"... Medium-size and large professional and technical services organizations are increasingly geographically dispersed. These organizations are enlarging their pool of expertise and business through mergers and acquisitions, and offices opened in new regions. Managers can reach across the entire organiza ..."
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of expertise in a geographically dispersed professional organization, managers' decisions to create local or dispersed project teams, and the consequences of those decisions. We found that local sites developed specializations around frequently-used domain expertise, and that most projects were local

Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction

by Michael Wieg, Dietrich Klakow
"... In this paper, we compare three different generalization methods for in-domain and cross-domain opinion holder extraction being simple unsupervised word clustering, an induction method inspired by distant supervision and the usage of lexical resources. The generalization methods are incorporated int ..."
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In this paper, we compare three different generalization methods for in-domain and cross-domain opinion holder extraction being simple unsupervised word clustering, an induction method inspired by distant supervision and the usage of lexical resources. The generalization methods are incorporated
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