This paper proposes a theory of intermediation in which intermediaries emerge endogenously as the choice of agents. In contrast to the previous trading models based on random matching or exogenous networks, we allow traders to explicitly choose their trading partners as well as the number of trading links in a dynamic framework. We show that traders with higher trading needs optimally choose to match with traders with lower needs for trade, and they build fewer links in equilibrium. As a result, traders with the least trading need turn out to be the most connected and have the highest gross trade volume. The model therefore endogenously generates a coreperiphery trading network that we often observe: a financial architecture that involves a small number of large, interconnected institutions. We use this framework to study bidask spreads, trading volume, asset allocation. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means without the prior permission in writing of the publisher nor be issued to the public or circulated in any form other than that in which it is published.Requests for permission to reproduce any article or part of the Working Paper should be sent to the editor at the above address. Abstract This paper proposes a theory of intermediation in which intermediaries emerge endogenously as the choice of agents. In contrast to the previous trading models based on random matching or exogenous networks, we allow traders to explicitly choose their trading partners as well as the number of trading links in a dynamic framework. We show that traders with higher trading needs optimally choose to match with traders with lower needs for trade, and they build fewer links in equilibrium. As a result, traders with the least trading need turn out to be the most connected and have the highest gross trade volume. The model therefore endogenously generates a core-periphery trading network that we often observe: a financial architecture that involves a small number of large, interconnected institutions. We use this framework to study bid-ask spreads, trading volume, asset allocation.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract Why do some markets remain illiquid even when there is a positive gain from trade? In order to understand the real determinants of market liquidity in decentralized markets, we are going to analyze this question in a competitive market setting when both search frictions and adverse selection play roles. In a dynamic environment with heterogenous sellers and buyers, we investigate the role of market frictions and how adverse selection leads to the distortion of equilibrium market liquidity. The resulting friction therefore prohibits resources from reallocating e¢ -ciently. In the application of capital reallocation, we further show that this trading friction can generate signi…cant economic ‡uctuations. Terms of use: Documents in
We study decentralized markets in which advisers have conicts of interest and compete for customers via information provision. We show that competition partially disciplines conicted advisers. The equilibrium features information dispersion and sorting of heterogeneous customers and advisers: advisers with expertise in more information sensitive assets attract less informed customers, provide worse information, and earn higher prots. We apply our framework to the market for nancial advice and establish new insights: while the conicted fee structure aects asset return, it is irrelevant for the welfare of consumers. It is the underlying distribution of nancial literacy that determines the consumers' welfare.
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