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The Dynamics of Financially Constrained Arbitrage

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  • Denis Gromb
  • Dimitri Vayanos

Abstract

We develop a model of financially constrained arbitrage, and use it to study the dynamics of arbitrage capital, liquidity, and asset prices. Arbitrageurs exploit price discrepancies between assets traded in segmented markets, and in doing so provide liquidity to investors. A collateral constraint limits their positions as a function of capital. We show that the dynamics of arbitrage activity are self-correcting: following a shock that depletes arbitrage capital, profitability increases, and this allows capital to be gradually replenished. Spreads increase more and recover faster for more volatile trades, although arbitrageurs cut their positions in these trades the least. When arbitrage capital is more mobile across markets, liquidity in each market generally becomes less volatile, but the reverse may hold for aggregate liquidity because of mobility-induced contagion.

Suggested Citation

  • Denis Gromb & Dimitri Vayanos, 2015. "The Dynamics of Financially Constrained Arbitrage," NBER Working Papers 20968, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:20968
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    1. Makarov, Igor & Schoar, Antoinette, 2020. "Trading and arbitrage in cryptocurrency markets," LSE Research Online Documents on Economics 100409, London School of Economics and Political Science, LSE Library.
    2. Chabakauri, Georgy & Han, Brandon Yueyang, 2020. "Collateral constraints and asset prices," Journal of Financial Economics, Elsevier, vol. 138(3), pages 754-776.
    3. A. Mantovi, 2019. "Information insensitivity, collateral flows and the logic of financial stability," Economics Department Working Papers 2019-EP01, Department of Economics, Parma University (Italy).
    4. Amine Ouazad & Romain Rancière, 2019. "Market Frictions, Arbitrage, and the Capitalization of Amenities," NBER Working Papers 25701, National Bureau of Economic Research, Inc.
    5. Jianfeng Hu, 2020. "Is the synthetic stock price really lower than actual price?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(12), pages 1809-1824, December.
    6. Liao, Gordon Y., 2020. "Credit migration and covered interest rate parity," Journal of Financial Economics, Elsevier, vol. 138(2), pages 504-525.
    7. López-Suárez, Carlos Felipe & Razo-Garcia, Raul, 2017. "Speculative attacks in a two-peg model," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 234-256.
    8. Gordon Y. Liao, 2019. "Credit Migration and Covered Interest Rate Parity," International Finance Discussion Papers 1255, Board of Governors of the Federal Reserve System (U.S.).
    9. Makarov, Igor & Schoar, Antoinette, 2020. "Trading and arbitrage in cryptocurrency markets," Journal of Financial Economics, Elsevier, vol. 135(2), pages 293-319.
    10. Goldberg, Jonathan, 2020. "Liquidity supply by broker-dealers and real activity," Journal of Financial Economics, Elsevier, vol. 136(3), pages 806-827.
    11. Zhang, Ally Quan, 2016. "Arbitrage with Production, Collateral Constraint and Heterogeneous Belief," VfS Annual Conference 2016 (Augsburg): Demographic Change 145539, Verein für Socialpolitik / German Economic Association.
    12. Hugues Dastarac, 2020. "Market Making and Proprietary Trading in the US Corporate Bond Market," Working papers 754, Banque de France.
    13. Fernando Avalos & Ramon Moreno & Tania Romero, 2015. "Leverage on the buy side," BIS Working Papers 517, Bank for International Settlements.
    14. Stavros Panageas, 2020. "The Implications of Heterogeneity and Inequality for Asset Pricing," NBER Working Papers 26974, National Bureau of Economic Research, Inc.
    15. Andrea Mantovi, 2018. "The monetary dimension of arbitrage. A brief note," Working Paper series 18-27, Rimini Centre for Economic Analysis, revised Oct 2018.
    16. Iraola, Miguel A. & Sepúlveda, Fabián & Torres-Martínez, Juan Pablo, 2019. "Financial segmentation and collateralized debt in infinite-horizon economies," Journal of Mathematical Economics, Elsevier, vol. 80(C), pages 56-69.
    17. Cho, Thummim, 2020. "Turning alphas into betas: Arbitrage and endogenous risk," Journal of Financial Economics, Elsevier, vol. 137(2), pages 550-570.

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    More about this item

    JEL classification:

    • D52 - Microeconomics - - General Equilibrium and Disequilibrium - - - Incomplete Markets
    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • G01 - Financial Economics - - General - - - Financial Crises
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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