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The Cost of Collateralized Borrowing in the Colombian Money Market: Does Connectedness Matter?

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  • Constanza Martínez

    ()

  • Carlos León

    ()

Abstract

Under the view that the market is a weighted and directed network (Barabási, 2003), this document is a first attempt to model the Colombian money market within a spatial econometrics framework. By estimating two standard spatial econometric models, we study the cost of collateralized borrowing (i.e. sell/buy backs) among Colombian financial institutions, and its relationship with the effects induced by traditional variables (leverage, size and borrowing levels), and by spatial variables resulting from observed linkages among financial institutions. The model that best fits the data is the Spatial Durbin Model, whose main findings indicate that (i) traditional variables are of low explanatory power by themselves; (ii) there exists a significant spatial dependence with regard to the cost of collateralized borrowing; (iii) the inclusion of spatial lags of the same traditional factors results in a model able to explain the existence of borrowing spreads that vary across financial institutions despite the collateralized nature of sell/buy backs; (iv) direct and spill-over effects from the spatially lagged value of financial leverage are the most significant for determining the cost of collateralized borrowing. Results are valuable since making connectedness an explanatory variable breaks with the traditional (reductionist) understanding of financial markets, which concurs with the current interest in the macro-prudential perspective of financial stability.

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Bibliographic Info

Paper provided by Banco de la Republica de Colombia in its series Borradores de Economia with number 803.

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Length: 23
Date of creation: Jan 2014
Date of revision:
Handle: RePEc:bdr:borrec:803

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Keywords: Money market; interbank; collateral; collateralized borrowing; spatial econometrics. Classification JEL: C31; G21; G32;

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  1. Kenneth French & Martin Baily & John Campbell & John Cochrane & Douglas Diamond & Darrell Duffie & Anil Kashyap & Frederic Mishkin & Raghuram Rajan & David Scharfstein & Robert Shiller & Hyun Song Shi, 2010. "The Squam Lake Report: Fixing the Financial System," Journal of Applied Corporate Finance, Morgan Stanley, vol. 22(3), pages 8-21.
  2. Merton, Robert C., 1973. "On the pricing of corporate debt: the risk structure of interest rates," Working papers 684-73., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  3. Rochet, Jean-Charles & Tirole, Jean, 1996. "Interbank Lending and Systemic Risk," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(4), pages 733-62, November.
  4. Carlos León & Clara Machado, . "Designing an expert knowledge-based Systemic Importance Index for financial institutions," Borradores de Economia 669, Banco de la Republica de Colombia.
  5. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
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