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Siva Viswanathan

Researcher at University of Maryland, College Park

Publications -  73
Citations -  3733

Siva Viswanathan is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Quality (business) & Reputation. The author has an hindex of 26, co-authored 73 publications receiving 3297 citations.

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Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending

TL;DR: It is found that the online friendships of borrowers act as signals of credit quality and increase the probability of successful funding, lower interest rates on funded loans, and are associated with lower ex post default rates.
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Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending

TL;DR: In this paper, the authors study the online market for peer-to-peer P2P lending, in which individuals bid on unsecured microloans sought by other individual borrowers.
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Home Bias in Online Investments: An Empirical Study of an Online Crowdfunding Market

TL;DR: This article used data from a large online crowdfunding marketplace and employing a quasi-experimental design, found evidence that home bias still exists in this virtual marketplace for financial products and showed that rationality-based explanations cannot fully explain such behavior and that behavioral reasons at least partially drive this remarkable phenomenon.
Journal ArticleDOI

Home Bias in Online Investments: An Empirical Study of an Online Crowdfunding Market

TL;DR: The authors used data from a large online crowdfunding marketplace and employing a quasi-experimental design, found evidence that home bias still exists in this virtual marketplace for financial products. But rationality-based explanations cannot fully explain such behavior, and that behavioral reasons at least partially drive this remarkable phenomenon.
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Competing Across Technology-Differentiated Channels: The Impact of Network Externalities and Switching Costs

TL;DR: A stylized spatial differentiation model is developed to examine the impact of differences in channel flexibility, network externalities, and switching costs on competition between online, traditional, and hybrid firms, and indicates that in a static market, consumers rather than firms, benefit from increasing network Externalities.