IDEAS home Printed from https://ideas.repec.org/p/mib/wpaper/224.html
   My bibliography  Save this paper

Determinants of US Financial fragility conditions

Author

Listed:
  • Fabio C. Bagliano
  • Claudio Morana

Abstract

The recent financial crisis has highlighted the fragility of the US financial system under several respects. In this paper, the properties of a summary index of financial fragility, timely capturing changes in credit and liquidity risk, distress in the mortgage market, and corporate default risk, is investigated over the 1986-2010 period. We find that observed fluctuations in the financial fragility index can be attributed to identified (global and domestic) macroeconomic (20%) and financial disturbances (40% to 50%), over both short- and long-term horizons, as well as to oil-supply shocks in the long-term (25%). Over-all, differently from financial shocks, macroeconomic disturbances have generally had a stabilizing effect.

Suggested Citation

  • Fabio C. Bagliano & Claudio Morana, 2013. "Determinants of US Financial fragility conditions," Working Papers 224, University of Milano-Bicocca, Department of Economics, revised Feb 2013.
  • Handle: RePEc:mib:wpaper:224
    as

    Download full text from publisher

    File URL: http://repec.dems.unimib.it/repec/pdf/mibwpaper224.pdf
    File Function: First version, 2013
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Claudio Morana, 2013. "The Oil Price-Macroeconomy Relationship Since the Mid-1980s: A Global Perspective," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    2. Bagliano, Fabio C. & Morana, Claudio, 2012. "The Great Recession: US dynamics and spillovers to the world economy," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 1-13.
    3. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    4. Working, Holbrook, 1960. "Speculation on Hedging Markets," Food Research Institute Studies, Stanford University, Food Research Institute, vol. 1(2), pages 1-36.
    5. Granger, Clive W. J. & Jeon, Yongil, 2004. "Thick modeling," Economic Modelling, Elsevier, vol. 21(2), pages 323-343, March.
    6. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    7. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    8. Tobias Adrian & Erkko Etula & Tyler Muir, 2014. "Financial Intermediaries and the Cross-Section of Asset Returns," Journal of Finance, American Finance Association, vol. 69(6), pages 2557-2596, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Claudio Morana, 2014. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks," Working Papers 273, University of Milano-Bicocca, Department of Economics, revised May 2014.
    2. Aboura, Sofiane & Chevallier, Julien, 2016. "Spikes and crashes in the oil market," Research in International Business and Finance, Elsevier, vol. 36(C), pages 615-623.
    3. Lepers, Etienne & Sánchez Serrano, Antonio, 2020. "Decomposing financial (in)stability in emerging economies," Research in International Business and Finance, Elsevier, vol. 51(C).
    4. Gupta, Rangan & Kanda, Patrick & Tiwari, Aviral Kumar & Wohar, Mark E., 2019. "Time-varying predictability of oil market movements over a century of data: The role of US financial stress," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    5. Tanha, Hassan & Dempsey, Michael, 2015. "The asymmetric response of volatility to market changes and the volatility smile: Evidence from Australian options," Research in International Business and Finance, Elsevier, vol. 34(C), pages 164-176.
    6. Mansour Ishrakieh, Layal & Dagher, Leila & El Hariri, Sadika, 2018. "The Institute of Financial Economics Financial Stress Index (IFEFSI) for Lebanon," MPRA Paper 116054, University Library of Munich, Germany.
    7. Rémi Stellian & Gabriel I. Penagos & Jenny P. Danna-Buitrago, 2021. "Firms in financial distress: evidence from inter-firm payment networks with volatility driven by ‘animal spirits’," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 59-101, January.
    8. Begüm Yurteri Kösedağlı & A. Özlem Önder, 2021. "Determinants of financial stress in emerging market economies: Are spatial effects important?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4653-4669, July.
    9. Oumayma GHARBI & Yousra TRICHILI & Mouna BOUJELBENE ABBES, 2022. "Impact of the COVID-19 pandemic on the relationship between uncertainty factors, investor’s behavioral biases and the stock market reaction of US Fintech companies," Journal of Academic Finance, RED research unit, university of Gabes, Tunisia, vol. 13(1), pages 101-122, June.
    10. Derbali, Abdelkader & Hallara, Slaheddine, 2016. "Systemic risk of European financial institutions: Estimation and ranking by the Marginal Expected Shortfall," Research in International Business and Finance, Elsevier, vol. 37(C), pages 113-134.
    11. Carvallo, Oscar & Pagliacci, Carolina, 2013. "Macroeconomic Shocks, Housing Market and Banks’ Performance in Venezuela," MPRA Paper 58711, University Library of Munich, Germany, revised Jul 2014.
    12. Layal MansourIshrakieh & Leila Dagher & Sadika El Hariri, 2020. "A financial stress index for a highly dollarized developing country : The case of Lebanon," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 20(2), pages 43-52.
    13. Matkovskyy, Roman & Bouraoui, Taoufik & Hammami, Helmi, 2016. "Analysing the financial strength of Tunisia: An approach to estimate an index of financial safety," Research in International Business and Finance, Elsevier, vol. 38(C), pages 485-493.
    14. Ellis, Scott & Sharma, Satish & Brzeszczyński, Janusz, 2022. "Systemic risk measures and regulatory challenges," Journal of Financial Stability, Elsevier, vol. 61(C).
    15. Oet, Mikhail V. & Ong, Stephen J., 2019. "From organization to activity in the US collateralized interbank market," Research in International Business and Finance, Elsevier, vol. 50(C), pages 472-485.
    16. Wan, Jer-Yuh & Kao, Chung-Wei, 2015. "Interactions between oil and financial markets — Do conditions of financial stress matter?," Energy Economics, Elsevier, vol. 52(PA), pages 160-175.
    17. Rémi Stellian & Jenny Paola Danna-Buitrago & David Andrés Londoño Bedoya, 2018. "Fragilidad financiera empresarial y expectativas de ingresos: evidencias de un modelo multi-agentes," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 37(73), February.
    18. Claudio Morana, 2013. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks: New Insights on the US OIS SPreads Term Structure," Working Papers 233, University of Milano-Bicocca, Department of Economics, revised Feb 2013.
    19. Unver, Mustafa & Dogru, Bulent, 2015. "The Determinants of Economic Fragility: Case of the Fragile Five Countries," MPRA Paper 68734, University Library of Munich, Germany, revised 2015.
    20. Rémi Stellian & Jenny P. Danna‐Buitrago, 2020. "Financial distress, free cash flow, and interfirm payment network: Evidence from an agent‐based model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 598-616, October.
    21. Mansour-Ichrakieh, Layal & Zeaiter, Hussein, 2019. "The role of geopolitical risks on the Turkish economy opportunity or threat," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Morana, Claudio, 2014. "Insights on the global macro-finance interface: Structural sources of risk factor fluctuations and the cross-section of expected stock returns," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 64-79.
    2. Morana, Claudio, 2013. "Oil price dynamics, macro-finance interactions and the role of financial speculation," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 206-226.
    3. Fabio C. Bagliano & Claudio Morana, 2017. "It ain’t over till it’s over: A global perspective on the Great Moderation-Great Recession interconnection," Applied Economics, Taylor & Francis Journals, vol. 49(49), pages 4946-4969, October.
    4. Claudio Morana, 2013. "The Oil Price-Macroeconomy Relationship Since the Mid-1980s: A Global Perspective," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    5. Stefan Nagel, 2013. "Empirical Cross-Sectional Asset Pricing," Annual Review of Financial Economics, Annual Reviews, vol. 5(1), pages 167-199, November.
    6. Beaulieu, Marie-Claude & Dufour, Jean-Marie & Khalaf, Lynda & Melin, Olena, 2023. "Identification-robust beta pricing, spanning, mimicking portfolios, and the benchmark neutrality of catastrophe bonds," Journal of Econometrics, Elsevier, vol. 236(1).
    7. Ben Ammar, Semir & Eling, Martin & Milidonis, Andreas, 2015. "Asset Pricing of Financial Insitutions: The Cross-Section of Expected Stock Returns in the Property/Liability Insurance Industry," Working Papers on Finance 1516, University of St. Gallen, School of Finance.
    8. Piccotti, Louis R., 2017. "Financial contagion risk and the stochastic discount factor," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 230-248.
    9. Morana, Claudio, 2017. "Macroeconomic and financial effects of oil price shocks: Evidence for the euro area," Economic Modelling, Elsevier, vol. 64(C), pages 82-96.
    10. Ozdagli, Ali & Velikov, Mihail, 2020. "Show me the money: The monetary policy risk premium," Journal of Financial Economics, Elsevier, vol. 135(2), pages 320-339.
    11. Matthias Huss & Heinz Zimmermann, 2018. "The Pricing of Liquidity Risk in Buyout Funds – A Public Market Perspective," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 70(3), pages 285-312, July.
    12. Ruenzi, Stefan & Ungeheuer, Michael & Weigert, Florian, 2020. "Joint Extreme events in equity returns and liquidity and their cross-sectional pricing implications," Journal of Banking & Finance, Elsevier, vol. 115(C).
    13. Kewei Hou & Chen Xue & Lu Zhang, 2017. "Replicating Anomalies," NBER Working Papers 23394, National Bureau of Economic Research, Inc.
    14. Christoffersen, Peter & Pan, Xuhui (Nick), 2018. "Oil volatility risk and expected stock returns," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 5-26.
    15. Feng, Xu & Lu, Lei & Xiao, Yajun, 2020. "Shadow banks, leverage risks, and asset prices," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    16. Meng, Xiangtong & Zhang, Wei & Li, Youwei & Cao, Xing & Feng, Xu, 2020. "Social media effect, investor recognition and the cross-section of stock returns," International Review of Financial Analysis, Elsevier, vol. 67(C).
    17. Keunbae Ahn, 2021. "Predictable Fluctuations in the Cross-Section and Time-Series of Asset Prices," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2021.
    18. Malamud, Semyon & Vilkov, Grigory, 2018. "Non-myopic betas," Journal of Financial Economics, Elsevier, vol. 129(2), pages 357-381.
    19. Maio, Paulo & Philip, Dennis, 2018. "Economic activity and momentum profits: Further evidence," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 466-482.
    20. González-Urteaga, Ana & Rubio, Gonzalo, 2017. "The joint cross-sectional variation of equity returns and volatilities," Journal of Banking & Finance, Elsevier, vol. 75(C), pages 17-34.

    More about this item

    Keywords

    inancial fragility; US; macro-finance interface; international business cycle; factor vector autoregressive models; financial crisis; Great Recession;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mib:wpaper:224. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Matteo Pelagatti (email available below). General contact details of provider: https://edirc.repec.org/data/dpmibit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.