Quantitative Financial Risk Management. Galariotis Emilios

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Nantes, School of Management (EQUIS, AMBA, AACSB) in France, senior academician of the Royal Academy of Doctors and the Royal Academy of Economics and Financial Sciences of Spain, and elected president of the Financial Engineering and Banking Society (FEBS).

      His research interests include financial engineering, financial risk management, and multiple-criteria decision making. He has edited and authored more than 70 books in international publishers and more than 450 research papers in scientific journals, edited volumes, conference proceedings, and encyclopedias in the areas of finance, accounting, operations research, and management science. Prof. Zopounidis is editor-in-chief and member of the editorial board of several international journals. In recognition of his scientific work, he has received several awards from international research societies.

       Emilios Galariotis is professor of Finance at Audencia Nantes School of Management (AMBA, EQUIS, AACSB) in France. He is the founder and director of the Centre for Financial and Risk Management (CFRM) and head of research in the area of Finance, Risk, and Accounting Performance at Audencia.

      His academic career started at Durham University and head of research in the area of Finance, Risk, and Accounting Performance as well as co-chair of the department of Accounting and Finance at Audencia. UK. There, beyond his academic role. His academic career started at Durham University, UK (Top 100 in the world, 3rd oldest in England), he was also director of Specialized Finance Masters Programs. His research interests include behavioral finance and market efficiency, contrarian and momentum investment strategies, and liquidity.

      His work has been published in quality refereed journals, such as (to mention only the most recent) the European Journal of Operational Research, the Journal of Banking and Finance, as well as the Wiley Encyclopedia of Management. Professor Galariotis is associate editor and member of the editorial board of several international journals, and member of the board of directors of the Financial Engineering and Banking Society and distinguished researcher at various research centers.

      Section One

      Supervisory Risk Management

      Chapter 1

      Measuring Systemic Risk: Structural Approaches

Raimund M. KovacevicISOR, Department of Statistics and OR, University of Vienna, AustriaGeorg Ch. PflugISOR and IIASA, Laxenburg

      “Systemic risks are developments that threaten the stability of the financial system as a whole and consequently the broader economy, not just that of one or two institutions.”

– Ben Bernanke, ex-chairman of the US Federal Reserve Bank.

      The global financial crisis of 2007–2008, often considered as the worst financial crisis since the Great Depression of the 1930s, resulted in a change of paradigms in the financial and banking sector. These crisis years saw collapses of large financial institutions, bailouts of banks by governments, and declines of stock markets. Triggered by the U.S. housing bubble, which itself was caused by giving easy access to loans for subprime borrowers, financial distress spread over the banking sector and led to failure of key businesses and to the 2008–2012 global recession. Finally, this also contributed to the European sovereign-debt crisis, with lots of aftereffects in our present times.

      Uncertainties about bank solvency, declines in credit availability, and reduced investor confidence had an impact on global stock markets. Governments responded with fiscal measures and institutional bailouts, which in the long term resulted in extreme public debts and necessary tax increases.

      This negative experience demonstrates that the economy as a whole, but especially the financial sector is subject to risks, which are grounded in the interdependencies between the different economic actors and not in the performance of individual actors. This type of risk is generally called systemic risk. While aspects of systemic risk (e.g., bank run and contagion) were always an issue in discussions about the financial system, the recent crises have increased the interest in the topic, not only in academic circles, but also among regulators and central banks.

      Systemic Risk: Definitions

      If one aims at measuring – and in a further step managing and mitigating – systemic risk, it is important to start with a definition. However, despite the consent that systemic risk is an important topic, which is reflected by an increasing number of related papers and technical reports, there is still not a single generally accepted definition.

      As a first step, one should distinguish between systemic and systematic risk. Systematic risks are aggregate (macroeconomic) risks that cannot be reduced by hedging and diversification. Systemic risk, on the other hand, is a different notion. It refers to the risk of breakdown or at least major dysfunction of financial markets. The Group of Ten (2001) gave the following, often cited definition:

      Systemic financial risk is the risk that an event will trigger a loss of economic value or confidence in, and attendant increases in uncertainly about, a substantial portion of the financial system that is serious enough to quite probably have significant adverse effects on the real economy. Systemic risk events can be sudden and unexpected, or the likelihood of their occurrence can build up through time in the absence of appropriate policy responses. The adverse real economic effects from systemic problems are generally seen as arising from disruptions to the payment system, to credit flows, and from the destruction of asset values.

      This formulation describes many aspects related to systemic risk but can hardly be called a definition in the technical sense, as it is very broad and hard to quantify. In addition, it seems to confuse cause (confidence) and consequence (breakdown).

      As an alternative, Kaufmann and Scott (2003) introduced the following definition:

      Systemic risk refers to the risk or probability of breakdowns in an entire system, as opposed to breakdowns in individual parts or components, and is evidenced by co-movements among most or all the parts.

      In similar manner, but naming the cause and again considering larger consequences, the European Central Bank (2004) defines systemic risk as follows:

      The risk that the inability of one institution to meet its obligations when due will cause other institutions to be unable to meet their obligations when due. Such a failure may cause significant liquidity or credit problems and, as a result, could threaten the stability of or confidence in markets.

      All discussed definitions focus on the banking or financial system as a whole, and relate systemic risk to the interconnectedness within the system. Often, they stress the risk of spillovers from the financial sector to the real economy and the associated related costs. This effect is emphasized even more after the financial crisis as described in the following definition of systemic risk from Adrian and Brunnermeier (2009):

      The risk that institutional distress spreads widely and distorts the supply of credit and capital to the real economy.

      A similar definition can be found in Acharya et al. 2009.

      Given the described diversity of definitions, which are similar but also different with respect to their focus, it is hard to develop universally accepted measures for systemic risk. Different definitions refer to different important nuances of systemic risk, which means that on the operational level a robust framework for monitoring and managing systemic risk should involve a variety of risk measures related to these different aspects. See Hansen (2012) for a deeper discussion of the basic difficulties in defining and identifying systemic risk.

      We will focus on the first part of the definition by Kaufmann and Scott (2003), which summarizes the most important aspect of systematic risk in financial systems, without

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