Jon Danielsson

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Jon Danielsson is an economist teaching at the London School of Economics and active in domestic and international policy debates.[1][2] He received his PhD in the economics of financial markets from Duke University in 1991.

Jon Danielsson

Career[]

Danielsson's research areas include systemic risk, artificial intelligence, cryptocurrencies, financial risk, hedge funds, financial regulations, market volatility, liquidity, models of extreme market movements, and microstructure of foreign exchange markets.[3] He has written extensively on the post-crash situation in Iceland.[4][5]

In 2012, he became director of the Systemic Risk Centre (SRC) at the London School of Economics, which was set up to study the risks that may trigger another financial crisis and to develop tools to help policymakers and financial institutions become better prepared. The Centre is funded by ESRC with an annual budget of £1 million.

Artificial intelligence and systemic risk[]

Danielsson, with co-authors, has been studying how artificial intelligence affects financial stability and systemic risk, finding that while AI is likely to make most risk management and micro prudential regulations cheaper and more efficient, systemic risk is set to rise. The reason is that AI makes the problem of procyclicality, manipulation and optimization against the system worse than the current human centered set up. They have a recent published paper on the topic, Artificial Intelligence and Systemic Risk [6] and a blog Artificial intelligence as a central banker [7]

Central bank reaction to COVID-19 and moral hazard[]

Danielsson, with co-authors, has been studying how central bank reaction to Covid-19, such as macro prudential relaxation, liquidity injections and FX swaps were perceived by the financial markets. They find that the policy interventions were successful in the short term calming of financial markets, but raise serious questions about long-term moral hazard, see, The Calming of Short-Term Market Fears and Its Long-Term Consequences: The Central Banks’ Dilemma.[8]


The drivers of financial crises[]

Danielsson and co-authors have studied the problem of how risk affects the likelihood of crises, motivated by Minsky’s observation that stability is destabilizing. Their research, Learning from History: Volatility and Financial Crises [9] finds that prolonged period of low risk make future financial crises will likely. Furthermore, the longer a low risk environment last, the bigger the impact on future economic growth, first positive and then negative, as shown in The Impact of Risk Cycles on Business Cycles: A Historical View.[10]

Problems with risk measurements[]

Danielsson has authored a series of discussion papers on risk and models,[11][12] as well as appearing in notable events with major policy makers.[13]

Danielsson and his colleagues[14][15] have expressed concerns about systemic risk measurements, such as SRISK and CoVaR, because they are based on market outcomes that happen multiple times a year, so that the probability of systemic risk as measured does not correspond to the actual systemic risk in the financial system. They argue that systemic financial crises happen once every 43 years for a typical OECD country and that measurements of systemic risk should target that probability.

Danielsson has published two books on forecasting financial risk.[16] One is an introduction to practical quantitative risk management with a focus on market risk, while the other is on financial stability[17] and uses economic analysis to frame the discussions on the international financial system.

Recent publications[]

  • "Artificial Intelligence and Systemic Risk" 2021 with Robert Macrae and Andreas Uthemann. Journal of Banking and Finance.
  • "Learning from History: Volatility and Financial Crises" 2018 with Marcela Valenzuela, and Ilknur Zer. Review of Financial Studies.
  • "Model risk of risk models" 2016 with Kevin James, Marcela Valenzuela and Ilknur Zer. .
  • "Can we prove a bank guilty of creating systemic risk? a minority report"* 2016 with Kevin James, Marcela Valenzuela and Ilknur Zer. .
  • "Fat Tails, VaR and Subadditivity", 2013, with Casper de Vries, Bjorn Jorgensen, Gennady Samorodnitsky and Sarma Mandira. Journal of Econometrics.
  • "Risk Models-at-Risk", 2014, with Christophe M. Boucher, Patrick S. Kouontchou and Bertrand B. Maillet. Journal of Banking and Finance
  • "Global financial systems: stability and risk", 2013, Pearson
  • "Robust Forecasting of Dynamic Conditional Correlation GARCH Models", 2013, with Kris Boudt and Sebastien Laurent. International Journal of Forecasting
  • “Endogenous and Systemic Risk", 2012, with Hyun Song Shin and Jean–Pierre Zigrand, NBER Volume on Measuring Systemic Risk, University of Chicago Press.
  • "Endogenous Extreme Events and the Dual Role of Prices", 2012 with and Hyun Song Shin, Annual Reviews in Economics, Volume 4 on the Economics of Extreme Events.
  • Financial Risk Forecasting, 2011, Wiley
  • Exchange Rate Determination and Inter–Market Order Flow Effects, 2012, with Jinhui Luo and Richard Payne, European Journal of Finance
  • Liquidity determination in an order driven market formerly Dynamic Liquidity, 2012, with Richard Payne, European Journal of Finance.
  • On the Impact of Fundamentals, Liquidity and Coordination on Market Stability, with Francisco Penaranda, 2011. International Economics Review, 52 (3). pp. 621–638.

References[]

  1. ^ Viewpoints: Where now for capitalism? The Economist, 19 September 2008
  2. ^ Jon Danielsson: The bill equates to £40,000 per family, The Independent, 6 January 2010
  3. ^ Bio in Financial Markets, Institutions & Instruments, Volume 17, Issue 1, pages 1–4, February 2008
  4. ^ with Gylfi Zoega, “The Collapse of a Country,“ 12 March, 2009
  5. ^ "Lessons from a Collapse of a Financial System," with Sigridur Benediktsdottir and Gylfi Zoega, Economic Policy Fifty-Second Panel Meeting Hosted by EIEF, 22-23 October 2010 Archived 27 September 2011 at the Wayback Machine
  6. ^ Artificial Intelligence and Systemic Risk, August 2021
  7. ^ Artificial intelligence as a central banker, March 2020
  8. ^ The Calming of Short-Term Market Fears and Its Long-Term Consequences: The Central Banks’ Dilemma, May 2021
  9. ^ Learning from History: Volatility and Financial Crises, 2018
  10. ^ The Impact of Risk Cycles on Business Cycles: A Historical View, October 2020
  11. ^ Model Risk of Risk Models, SRC Discussion Paper No 11, April 2014
  12. ^ Risks Models-at-Risk SRC Discussion Paper No 8 January 2014
  13. ^ Kuroda Says BOJ Doesn't See Asset Bubbles Forming, March 2014, Bloomberg
  14. ^ Danielsson, J.; James, K.; Valenzuela, M.; Zer, I. (2016). "Can we prove a bank guilty of creating systemic risk? A minority report". Money Credit and Banking. 48 (4): 795–812. doi:10.1111/jmcb.12318.
  15. ^ Danielsson, J.; James, K.; Valenzuela, M.; Zer, I. (2016). "Model risk of risk models". Journal of Financial Stability. 23: 79–91. doi:10.1016/j.jfs.2016.02.002.
  16. ^ Financial Risk Forecasting, Wiley (March 25, 2011)
  17. ^ Global Financial Systems, Pearson, Aug 2013

External links[]

Social media[]

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