Systemic risk,real GDP growth,and sentiment

Review of Quantitative Finance and Accounting - Using a mixed frequency VAR methodology, which can accommodate variables with different frequencies in a VAR framework, we model the relation between...     

Systemic risk measures and regulatory challenges

This paper discusses different definitions of systemic risk and identifies the challenges, which regulators face in addressing this phenomenon. We conducted a systematic literature review of 4859 abstracts to categorize the various methodologies developed to measure systemic risk. In total, 60 systemic risk measures proposed post-2000 have been critically appraised to inform academics and regulators of their practical applications and model vulnerabilities. This review suggests that most of these methods focus on individual financial institutions rather than on system stability. Those methodologies directly reflect the current regulations, which aim to ensure individual institutions’ soundness. As macro-prudential regulation evolves, policy-makers face the issues of understanding contagion and how regulations should be implemented. This paper also discusses new systemic risk and regulatory challenges resulting from the current COVID-19 pandemic.     

Entrepreneurial risk aversion,net worth effects and real fluctuations

This paper examines the combined effect of asymmetric information and private entrepreneurial risk aversion on investment decisions. The standard optimal debt contract becomes modified by the introduction of insurance and a risk premium that entrepreneurs demand due to the uncertainty of their investment returns: the private equity premium. In general equilibrium, the private equity premium may become a mechanism that magnifies the effects of shocks. A structural estimation of the model's parameters using Chilean and U.S. data shows that the entrepreneurial risk aversion assumption has more empirical relevance in an economy where smaller privately-held businesses are relatively more prevalent than where the corporate sector predominates, like the U.S.     

Systemic sovereign credit risk: Lessons from the U.S. and Europe

We study the nature of systemic sovereign credit risk using CDS spreads for the U.S. Treasury, individual U.S. states, and major Eurozone countries. Using a multifactor affine framework that allows for both systemic and sovereign-specific credit shocks, we find that there is much less systemic risk among U.S. sovereigns than among Eurozone sovereigns. We find that both U.S. and Eurozone systemic sovereign risk are strongly related to financial market variables. These results provide strong support for the view that systemic sovereign risk has its roots in financial markets rather than in macroeconomic fundamentals.     

Systemic risk measures and macroprudential stress tests: an assessment over the 2014 EBA exercise

Regulators’ stress tests on banks further stimulated an academic debate over systemic risk measures and their predictive content. Focusing on marked based measures, Acharya et al. (Rev Financ Stud 30(1):2–47, 2017) provide a theoretical background to use marginal expected shortfall (MES) for predicting the stress test results, and verify it on the 2009 Supervisory Capital Assessment Program of the US banking system. The aim of this paper is to further test the goodness of MES as a predictive measure, by analysing it in relation to the results of the 2014 European stress tests exercise conducted by the European Banking Authority. Our results underscore the importance of choosing the appropriate index to capture the systemic distress event. In fact MES based on a global market index does not show association with the stress test results, in contrast to Financial MES, which is based on a financial market index, and has a significant information and predictive power.     

Model-free jump measures and interest rates: common patterns in US and UK monetary policy around major economic events

We employ model-free jump measures to study monetary policy operations in the UK and USA around major economic events by exploiting the relationship between jumps, interest rates, and macroeconomic news releases related to monetary policy. In our analysis, we explicitly account for the timing of jumps in UK and US interest rates and the correlation across jumps in the same two interest rates and whether these match Federal Open Market Committee (FOMC)/Monetary Policy Committee news releases. We find that FOMC news releases lag jumps in US interest rates, but lead jumps in UK Gilt rates. Overall, our analysis suggests that US Treasury Bills react to information in the aforementioned news releases before their announcement while UK Gilt yields react after them and that the Fed and Bank of England react similarly around major economic events.     

Dynamic risk measures: Time consistency and risk measures from BMO martingales

Time consistency is a crucial property for dynamic risk measures. Making use of the dual representation for conditional risk measures, we characterize the time consistency by a cocycle condition for the minimal penalty function. Taking advantage of this cocycle condition, we introduce a new methodology for the construction of time-consistent dynamic risk measures. Starting with BMO martingales, we provide new classes of time-consistent dynamic risk measures. These families generalize those obtained from backward stochastic differential equations. Quite importantly, starting with right-continuous BMO martingales, this construction naturally leads to paths with jumps.      

Public private partnerships: Incentives, risk transfer and real options

Private financing of large-scale infrastructure projects through public private partnerships (PPPs) has grown in recent decades. Together with changes in conventional construction procedures, there have been changes in the project financing model. The use of PPPs raises questions as to the role of the private sector in infrastructure provision and the conditions governing the long-term contractual relationships between the private and public sectors. In some early examples of PPPs, the government guaranteed a minimum profitability over the cash flows using a set of contractual terms which transferred some of the risk of the project from the private provider back to the government. Using a large toll road project, the Melbourne CityLink Project, as a case study we show how the imposed conditions can be treated as real options, how these options affect the incentive to invest and how the public sector may be transferring considerable value to the private sector through government guarantees.     

The real effects of financial (dis)integration: A multi-country equilibrium analysis of Europe

Using data from 15 European Union economies, we quantify the real effects of supply-side frictions due to the financial disintegration of European countries since the 2008 financial crisis. We develop a multi-country general equilibrium model with heterogeneous countries and destination-specific financial frictions. Financial institutions allocate capital endogenously across countries, determining the cost of capital to firms and the wealth of nations. The cost of financial disintegration is reduced access to capital for firms which results in lower output. Financial disintegration leads to a 0.54% fall in output in Europe since the crisis. We also estimate benefits of further financial integration.     

Systemic risk and bank consolidation: International evidence

This paper analyzes the systemic risk effects of bank mergers to test the “concentration-fragility” hypothesis. We use the marginal expected shortfall as well as the lower tail dependence between a bank’s stock returns and a relevant bank sector index to capture the merger-related change in an acquirer’s contribution to systemic risk. In our empirical analysis of a dataset of international domestic and cross-border mergers, we find clear evidence for a significant increase in the merging banks’, the combined banks’ as well as their competitors’ contribution to systemic risk following mergers, thus confirming the “concentration-fragility” hypothesis.     

Market conditions,risk, and real estate portfolio returns: Some empirical evidence

This research examined the return behavior of a portfolio of American and New York Stock Exchange real estate firms. A dummy variable procedure was used to test for excess return and/or change in risk behavior across market conditions. The findings were as follows. First, no excess return was found for any model specification. Second, no changes in beta were found using the benchmark approach. The beta shifted when an up market was defined as a nonrecessionary period; the beta behaved procyclically. However, the subperiod tests indicated that effect was transitory and period specific.     

GMO-free regions in Europe: an analysis of diffusion patterns

Genetically modified organisms (GMOs) have been a controversial issue in the European Union (EU). A growing number of member states and regions within the member states oppose the EU’s agro-biotechnology policy, resulting in a complex multi-level structure of policy-making. This study is interested in the regional opposition to GMOs and scrutinises the determinants of membership in the European Network of GMO-free Regions. In terms of theory, this study builds on the literature of policy diffusion. For the analytical purpose, we distinguish among four diffusion mechanisms: learning from earlier adopters, economic competition among proximate regions, imitation of economically powerful regions and deviation from national law. Our research questions are the following: How has membership developed since the foundation of the network? Which mechanisms explain the diffusion patterns observed? The empirical findings show that membership in the network has grown substantially between 2003 and 2014, which supports the general expectation that there is a diffusion of GMO-free regions. Yet, most new member regions are located in the same member states as the regions that founded the network. In other words, what is observed is intra-country diffusion rather than inter-country diffusion. The empirical findings provide support for the importance of learning from earlier adopters for the growing of the European Network of GMO-free Regions.     

Corporate governance quality: Trends and real effects

This paper constructs a composite index of corporate governance quality, documents its evolution during the 1994–2003 period in selected emerging and developed economies, and assesses its impact on growth and productivity of the economy and its corporate sector. Our investigation yields three main findings. First, corporate governance quality in most countries has overall improved, although in varying degrees and with a few notable exceptions. Second, the data exhibit cross-country convergence in corporate governance quality with countries that score poorly initially catching up with countries with high corporate governance scores. Third, the impact of improvements in corporate governance quality on traditional measures of real economic activity—GDP growth, productivity growth, and the ratio of investment to GDP—is positive, significant and quantitatively relevant, and the growth effect is particularly pronounced for industries that are most dependent on external finance.     

Bank risk and real estate: An asset pricing perspective

While a number of papers have investigated the time-series behavior ofex post bank stock returns and real estate returns, no study has comprehensively studied the relationship betweenex ante risk premiums on both assetsand the time-varying nature of such premiums in relationship to economic and real estate market conditions. In this study, we investigate how the changing nature of bank risk taking, especially in the real estate market, has affected theex ante pricing of risk in the market for bank stocks. We find that the time variation in bank risk premiums are partly determined by interest rate and real estate market conditions. We also discover that the real estate factor has been important for banks in the 1980s.     

Systemic risk,economic policy uncertainty and firm bankruptcies: Evidence from multivariate causal inference

The paper investigates causal relationships between systemic risk, economic policy uncertainty and firm bankruptcies, conditional on global volatility proxied by the VIX index, in a sample of 15 advanced and major emerging market economies during January 2008-June 2018. We test for Granger causality in time and frequency domains as well as dissect multivariate causal linkages in the dynamic complex system framework by applying a novel technique – convergent cross mapping (Sugihara et al., 2012). Based on strictly coincident results from all the three approaches, we find that systemic risk causes firm exit in Spain, while in the UK and the Netherlands bankruptcies are triggered by economic policy uncertainty. In South Korea and the USA, the VIX index causes the firm shutdown. For the rest of the countries, the causality inference provides less robust evidence. We argue that the magnitude of deleveraging by banks with respect to the private nonfinancial sector, proxied by the volatility of credit-to-GDP gaps, shapes the presence or absence of causal impact by systemic risk, economic policy uncertainty or the VIX index on bankruptcies.     

Outliers,GARCH-type models and risk measures: A comparison of several approaches

In this paper we focus on the impact of additive outliers (level and volatility) on the calculation of risk measures, such as minimum capital risk requirements. Through simulation and empirical studies, we compare six alternative proposals that are used in the literature to reduce the effects of outliers in the estimation of risk measures when using GARCH-type models. The methods are based on [1] correcting for significant outliers, [2] accommodating outliers using complex (e.g. fat-tail) distributions and [3] accounting for outlier effects by robust estimation. The main conclusions of the simulation study are that the presence of outliers bias these risk measures, being the proposal by Grané and Veiga (2010) that providing the highest bias reduction. From the out-of-sample results for four international stock market indexes we found weak evidence that more complex models (specification and error distribution) perform better in estimating the minimum capital risk requirements during the last global financial crisis.     

Liquidity,implied volatility and tail risk: A comparison of liquidity measures

Liquidity is easily perceived but not easily measured in financial markets. Researchers and practitioners develop and test new measures of liquidity which may be good candidates for measuring this elusive concept. In this study, we present a comparison of variables within two empirical exercises using up to eight traditional liquidity proxies and two proposed proxies based on semi-deviations in a sample of NYSE-listed stocks. The first empirical exercise analyzes the relationship between liquidity and implied volatility, showing that increases in implied volatility impacts increases illiquidity. Using a decomposition of the squared VIX, we show that both conditional variance and variance premium components affects liquidity. Our second empirical exercise investigates the relationship between common factors in liquidity and tail risk. Common factors increase individual stocks' Value-at-Risk and Expected Shortfall, although the effect is not significant for market risk. In both applications, most of the studied proxies present results aligned with the body of literature.     

Gini-type measures of risk and variability: Gini shortfall,capital allocations,and heavy-tailed risks

We introduce and explore Gini-type measures of risk and variability, and develop the corresponding economic capital allocation rules. The new measures are coherent, additive for co-monotonic risks, convenient computationally, and require only finiteness of the mean. To elucidate our theoretical considerations, we derive closed-form expressions for several parametric families of distributions that are of interest in insurance and finance, and further apply our findings to a risk portfolio of a bancassurance company.     

Systemic risk in the European sovereign and banking system

We investigate the systemic risk of the European sovereign and banking system during 2008–2013. We utilize a conditional measure of systemic risk that reflects market perceptions and can be intuitively interpreted as an entity’s conditional joint probability of default, given the hypothetical default of other entities. The measure of systemic risk is applicable to high dimensions and not only incorporates individual default risk characteristics but also captures the underlying interdependent relations between sovereigns and banks in a multivariate setting. In empirical applications, our results reveal significant time variation in systemic risk spillover effects for the sovereign and banking system. We find that systemic risk is mainly driven by risk premiums coupled with a steady increase in physical default risk.