Sustainable Architecture for Finance in Europe (SAFE)
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Banks can deal with their liquidity risk by holding liquid assets (self-insurance), by participating in interbank markets (coinsurance), or by using flexible financing instruments, such as bank capital (risk-sharing). We use a simple model to show that undiversifiable liquidity risk, i.e. the liquidity risk that banks are unable to coinsure on interbank markets, represents an important risk factor affecting their capital structures. Banks facing higher undiversifiable liquidity risk hold more capital. We posit that empirically banks that are more exposed to undiversifiable liquidity risk are less active on interbank markets. Therefore, we test for the existence of a negative relationship between bank capital and interbank market activity and find support in a large sample of U.S. commercial banks.
The European Central Bank (ECB) has finalized its comprehensive assessment of the solvency of the largest banks in the euro area and on October 26 disclosed the results of this assessment. In the present paper, Acharya and Steffen compare the outcomes of the ECB's assessment to their own benchmark stress tests conducted for 39 publically listed financial institutions that are also included in the ECB's regulatory review. The authors identify a negative correlation between their benchmark estimates for capital shortfalls and the regulatory capital shortfall, but a positive correlation between their benchmark estimates for losses under stress both in the banking book and in the trading book. They conclude that the regulatory stress test outcomes are potentially heavily affected by discretion of national regulators in measuring what is capital, and especially the use of risk-weighted assets in calculating the prudential capital requirement.
This article explores life insurance consumption in 31 European countries from 2003 to 2012 and aims to investigate the extent to which market transparency can affect life insurance demand. The cross-country evidence for the entire sample period shows that greater market transparency, which resolves asymmetric information, can generate a higher demand for life insurance. However, when considering the financial crisis period (2008-2012) separately, the results suggest a negative impact of enhanced market transparency on life insurance consumption. The mixed findings imply a trade-off between the reduction in adverse selection under greater market transparency and the possible negative effects on life insurance consumption during the crisis period due to more effective market discipline. Furthermore, this article studies the extent to which transparency can influence the reaction of life insurance demand to bad market outcomes: i.e., low solvency ratios or low profitability. The results indicate that the markets with bad outcomes generate higher life insurance demand under greater transparency compared to the markets that also experience bad outcomes but are less transparent.
This paper provides a systematic analysis of individual attitudes towards ambiguity, based on laboratory experiments. The design of the analysis allows to capture individual behavior across various levels of ambiguity, ranging from low to high. Attitudes towards risk and attitudes towards ambiguity are disentangled, providing pure measures of ambiguity aversion. Ambiguity aversion is captured in several ways, i.e. as a discount factor net of a risk premium, and as an estimated parameter in a generalized utility function. We find that ambiguity aversion varies across individuals, and with the level of ambiguity, being most prominent for intermediate levels. Around one third of subjects show no aversion, one third show maximum aversion, and one third show intermediate levels of ambiguity aversion, while there is almost no ambiguity seeking. While most theoretical work on ambiguity builds on maxmin expected utility, our results provide evidence that MEU does not adequately capture individual attitudes towards ambiguity for the majority of individuals. Instead, our results support models that allow for intermediate levels of ambiguity aversion. Moreover, we find risk aversion to be statistically unrelated to ambiguity aversion on average. Taken together, the results support the view that ambiguity is an important and distinct argument in decision making under uncertainty.
In the wake of the Global Financial Crisis that started in 2007, policymakers were forced to respond quickly and forcefully to a recession caused not by short-term factors, but rather by an over-accumulation of debt by sovereigns, banks, and households: a so-called “balance sheet recession.” Though the nature of the crisis was understood relatively early on, policy prescriptions for how to deal with its consequences have continued to diverge. This paper gives a short overview of the prescriptions, the remaining challenges and key lessons for monetary policy.
This paper makes a conceptual contribution to the effect of monetary policy on financial stability. We develop a microfounded network model with endogenous network formation to analyze the impact of central banks' monetary policy interventions on systemic risk. Banks choose their portfolio, including their borrowing and lending decisions on the interbank market, to maximize profit subject to regulatory constraints in an asset-liability framework. Systemic risk arises in the form of multiple bank defaults driven by common shock exposure on asset markets, direct contagion via the interbank market, and firesale spirals. The central bank injects or withdraws liquidity on the interbank markets to achieve its desired interest rate target. A tension arises between the beneficial effects of stabilized interest rates and increased loan volume and the detrimental effects of higher risk taking incentives. We find that central bank supply of liquidity quite generally increases systemic risk.
We study self- and cross-excitation of shocks in the Eurozone sovereign CDS market. We adopt a multivariate setting with credit default intensities driven by mutually exciting jump processes, to capture the salient features observed in the data, in particular, the clustering of high default probabilities both in time (over days) and in space (across countries). The feedback between jump events and the intensity of these jumps is the key element of the model. We derive closed-form formulae for CDS prices, and estimate the model by matching theoretical prices to their empirical counterparts. We find evidence of self-excitation and asymmetric cross-excitation. Using impulse-response analysis, we assess the impact of shocks and a potential policy intervention not just on a single country under scrutiny but also, through the effect on cross-excitation risk which generates systemic sovereign risk, on other interconnected countries.
SAFE Professor Michalis Haliassos was a member of the National Council for Research and Technology (ESET) established by the Government of Greece for the period 2010-2013. The council, consisting of eleven scientists from a range of disciplines, has now published their communiqué "National Strategic Framework for Research and Innovation 2014 -2020".
To promote the advancement of research, technology and innovation in Greece, the strategic plan proposed by the authors seeks to identify areas of existing research strength and excellence that can be further advanced to become engines for progress and growth in Greece, as well as flaws inherent to the present system. The authors stress the need to address current constraints to growth, which include the declining education system; the confusion and weaknesses of R&D governance and management; the discontinuities and inefficiencies of resource allocation and investment; the lack of adaptation to clearly-defined national priorities; and the inadequate opportunities and funding for high-quality research and development to flourish. They stress the need for prioritisation and efficient allocation; stability of the policy frame; predictability of planning; provision of opportunity; recognition of excellence; and responsiveness to current and future needs.
The Solvency II standard formula employs an approximate Value-at-Risk approach to define risk-based capital requirements. This paper investigates how the standard formula’s stock risk calibration influences the equity position and investment strategy of a shareholder-value-maximizing insurer with limited liability. The capital requirement for stock risks is determined by multiplying a regulation-defined stock risk parameter by the value of the insurer’s stock portfolio. Intuitively, a higher stock risk parameter should reduce risky investments as well as insolvency risk. However, we find that the default probability does not necessarily decrease when reducing the investment risk (by increasing the stock investment risk parameter). We also find that depending on the precise interaction between assets and liabilities, some insurers will invest conservatively, whereas others will prefer a very risky investment strategy, and a slight change of the stock risk parameter may lead from a conservative to a high risk asset allocation.
Previous research has documented strong peer effects in risk taking, but little is known about how such social influences affect market outcomes. The consequences of social interactions are hard to isolate in financial data, and theoretically it is not clear whether peer effects should increase or decrease risk sharing. We design an experimental asset market with multiple risky assets and study how exogenous variation in real-time information about the portfolios of peer group members affects aggregate and individual risk taking. We find that peer information ameliorates under-diversification that occurs in a market without such information. One reason is that peer information increases risk aversion and induces a concern for relative income position that may reduce or amplify risk taking, depending on whether the context highlights the most or least successful trader. Thus, contrary to conventional wisdom, we show that social interactions may help to reduce earnings volatility in financial markets, and we discuss implications for institutional design.
This article discusses the recent proposal for debt restructuring in the euro zone by Pierre Paris and Charles Wyplosz. It argues that the plan cannot realize the promised debt relief without producing moral hazard. Ester Faia revisits the Redemption Fund proposed in November 2011 by the German Council of Economic Experts and argues that this plan, up to date, still remains the most promising path towards succesful debt restructuring in Europe.
Can a tightening of the bank resolution regime lead to more prudent bank behavior? This policy paper reviews arguments for why this could be the case and presents evidence linking changes in bank resolution regimes with bank risk-taking. The authors find that the tightening of bank resolution in the U.S. (i.e., the introduction of the Orderly Liquidation Authority) significantly decreased overall risk-taking of the most affected banks. This effect, however, does not hold for the largest and most systemically important banks – too-big-to-fail seems to be unresolved. Building on the insights from the U.S. experience, the authors derive principles for effective resolution regimes and evaluate the emerging resolution regime for Europe.
Robustness, validity, and significance of the ECB's asset quality review and stress test exercise
(2014)
As we are moving toward a eurozone banking union, the European Central Bank (ECB) is going to take over the regulatory oversight of 128 banks in November 2014. To that end, the ECB conducted a comprehensive assessment of these banks, which included an asset quality review (AQR) and a stress test. The fundamental question is how accurately will the financial condition of these banks have been assessed by the ECB when it commences its regulatory oversight? And, can the comprehensive assessment lead to a full repair of banks’ balance sheets so that the ECB takes over financially sound banks and is the necessary regulation in place to facilitate this? Overall, the evidence presented in this paper based on the design of the comprehensive assessment as well as own stress test exercises suggest that the ECB’s assessment might not comprehensively deal with the problems in the financial sector and risks may remain that will pose substantial threats to financial stability in the eurozone.
Europe's debt crisis casts doubt on the effectiveness of fiscal austerity in highly-integrated economies. Closed-economy models overestimate its effectiveness, because they underestimate tax-base elasticities and ignore cross-country tax externalities. In contrast, we study tax responses to debt shocks in a two-country model with endogenous utilization that captures those externalities and matches the capital-tax-base elasticity. Quantitative results show that unilateral capital tax hikes cannot restore fiscal solvency in Europe, and have large negative (positive) effects at "home" ("abroad"). Restoring solvency via either Nash competition or Cooperation reduces (increases) capital (labor) taxes significantly, and leaves countries with larger debt shocks preferring autarky.
Securities transaction tax in France: impact on market quality and inter-market price coordination
(2014)
The general concept of a Securities Transaction Tax is controversial among academics and politicians. While theoretical research is quite advanced, the empirical guidance in a fragmented market context is still scarce. Possible negative effects for market liquidity and market efficiency are theoretically predicted, but have not been empirically tested yet. In light of the agreement of eleven European member states to implement an STT, this study aims to give a comprehensive overview of the effects of the STT, introduced in France in 2012, on liquidity demand, liquidity supply, volatility and inter-market information transmission. The results show that the STT has led to a decline in liquidity demand, has had a detrimental effect on liquidity supply and negatively influences the inter-market information transmission efficiency. However, no effect on volatility can be observed.
We develop a model of managerial compensation structure and asset risk choice. The model provides predictions about how inside debt features affect the relation between credit spreads and compensation components. First, inside debt reduces credit spreads only if it is unsecured. Second, inside debt exerts important indirect effects on the role of equity incentives: When inside debt is large and unsecured, equity incentives increase credit spreads; When inside debt is small or secured, this effect is weakened or reversed. We test our model on a sample of U.S. public firms with traded CDS contracts, finding evidence supportive of our predictions. To alleviate endogeneity concerns, we also show that our results are robust to using an instrumental variable approach.
When markets are incomplete, social security can partially insure against idiosyncratic and aggregate risks. We incorporate both risks into an analytically tractable model with two overlapping generations and demonstrate that they interact over the life-cycle. The interactions appear even though the two risks are orthogonal and they amplify the welfare consequences of introducing social security. On the one hand, the interactions increase the welfare benefits from insurance. On the other hand, they can in- or decrease the welfare costs from crowding out of capital formation. This ambiguous effect on crowding out means that the net effect of these two channels is positive, hence the interactions of risks increase the total welfare benefits of social security.
Financial innovation is, as usual, faster than regulation. New forms of speculation and intermediation are rapidly emerging. Largely as a result of the evaporation of trust in financial intermediation, an exponentially increasing role is being played by the so-called peer to peer intermediation. The most prominent example at the moment is Bitcoin.
If one expects that shocks in these markets could destabilize also traditional financial markets, then it will be necessary to extend regulatory measures also to these innovations.
This paper makes a conceptual contribution to the effect of monetary policy on financial stability. We develop a microfounded network model with endogenous network formation to analyze the impact of central banks' monetary policy interventions on systemic risk. Banks choose their portfolio, including their borrowing and lending decisions on the interbank market, to maximize profit subject to regulatory constraints in an asset-liability framework. Systemic risk arises in the form of multiple bank defaults driven by common shock exposure on asset markets, direct contagion via the interbank market, and firesale spirals. The central bank injects or withdraws liquidity on the interbank markets to achieve its desired interest rate target. A tension arises between the beneficial effects of stabilized interest rates and increased loan volume and the detrimental effects of higher risk taking incentives. We find that central bank supply of liquidity quite generally increases systemic risk.
In this paper, we propose a novel approach on how to estimate systemic risk and identify its key determinants. For all US financial companies with publicly traded equity options, we extract their option-implied value-at-risks (VaRs) and measure the spillover effects between individual company VaRs and the option-implied VaR of an US financial index. First, we study the spillover effect of increasing company risks on the financial sector. Second, we analyze which companies are most affected if the tail risk of the financial sector increases. We find that key accounting and market valuation metrics such as size, leverage, balance sheet composition, market-to-book ratio and earnings have a significant influence on the systemic risk profile of a financial institution. In contrast to earlier studies, the employed panel vector autoregression (PVAR) estimator allows for a causal interpretation of the results.