Econometric measures of connectedness and systemic risk in the finance and insurance sectors

We propose several econometric measures of connectedness based on principal-components analysis and Granger-causality networks, and apply them to the monthly returns of hedge funds, banks, broker/dealers, and insurance companies. We find that all four sectors have become highly interrelated over the past decade, likely increasing the level of systemic risk in the finance and insurance industries through a complex and time-varying network of relationships. These measures can also identify and quantify financial crisis periods, and seem to contain predictive power in out-of-sample tests. Our results show an asymmetry in the degree of connectedness among the four sectors, with banks playing a much more important role in transmitting shocks than other financial institutions.     

What is the systemic risk exposure of financial institutions?

I compare the performance of three measures of institution-level systemic risk exposure — Exposure CoVaR (Adrian and Brunnermeier, 2016), systemic expected shortfall (Acharya et al., 2016), and Granger causality (Billio et al., 2012). I modify Exposure CoVaR to allow for forecasting, and estimate the ability of each measure to forecast the performance of financial institutions during systemic crisis periods in 1998 (LTCM) and 2008 (Lehman Brothers). I find that Exposure CoVaR forecasts the within-crisis performance of financial institutions, and provides useful forecasts of future systemic risk exposures. Systemic expected shortfall and Granger causality do not forecast the performance of financial institutions reliably during crises. I also find, using cross-sectional regressions, that foreign equity exposure and securitization income determine systemic risk exposure during the 1998 and 2008 crises, respectively; financial institution size determines systemic risk exposure during both crisis periods; and executive compensation does not determine systemic risk exposure.     

Assessing financial instability: The case of Brazil

In this paper we use the arbitrage pricing theory to infer the probability of financial institution failure for banks in Brazil. We build an index of financial stability for Brazilian banks. Empirical results seem to provide evidence that after the Russian crisis in 1998, systemic risk has increased in the country but this risk has decreased over time through 2002. Furthermore, for individual major banks the probability of failure has decreased monotonically after the Russian crisis with the adoption of a floating exchange rate regime, an inflation-targeting framework and the introduction of the new payment system.     

论全球储备货币多元化格局与中国外汇储备之出路

如今出现金融危机,美元的长期滥发以至全球流动性泛滥难辞其咎。可以预见,美元霸权在未来必将终结,世界货币体系需要重建,最终形成储备货币多元化格局。中国应投资实体产业,以寻求供需平衡之道。     

The effects of activity and geographic diversification on performance: Evidence from French financial institutions

Our paper studies the impact of activity and geographic diversification on financial institution's performance. These diversification strategies are complementary in generating performance and may provide important implications. Moreover, we investigate the interaction between these two strategies. Our dataset comprises 4532 years observations over the period of 2002 to 2012 and covers 412 French financial institutions. We find a negative relationship between diversification and performance. However, this relationship is significantly positive when institutions implement a dual diversification strategy. In this paper, we propose a classification of French financial institutions. For generalists’ banks and cooperative banks, we find similar results to those of the entire sample. Furthermore, for specialized financial institutions, the relationship is positive and significant. Our findings are robust to the potential endogeneity problem and to measures of diversification and performance.     

The Diversification Puzzle: Revisiting the Value Impact of Diversification for UK Firms

Abstract:  The literature on value impact of diversification decisions has focused on US firms and has examined industrial rather than geographic diversification . This study exploits the Lang and Stulz (1994) , Berger and Ofek (1995) and Bodnar et al. (1999) methodologies and controls for form of diversification in assessing value impact for a sample of UK firms, for the period 1996-2000. Using an adjusted value metric that controls for industry effects, we report a significant and perverse geographic discount of 14%, and no systematic industrial value impact, suggesting that sector characteristics may be a significant driver of diversification choice for UK firms.     

How does deposit insurance affect bank risk? Evidence from the recent crisis

Deposit insurance is widely offered in a number of countries as part of a financial system safety net to promote stability. An unintended consequence of deposit insurance is the reduction in the incentive of depositors to monitor banks which lead to excessive risk-taking. We examine the relation between deposit insurance and bank risk and systemic fragility in the years leading up to and during the recent financial crisis. We find that generous financial safety nets increase bank risk and systemic fragility in the years leading up to the global financial crisis. However, during the crisis, bank risk is lower and systemic stability is greater in countries with deposit insurance coverage. Our findings suggest that the “moral hazard effect” of deposit insurance dominates in good times while the “stabilization effect” of deposit insurance dominates in turbulent times. The overall effect of deposit insurance over the full sample we study remains negative since the destabilizing effect during normal times is greater in magnitude compared to the stabilizing effect during global turbulence. In addition, we find that good bank supervision can alleviate the unintended consequences of deposit insurance on bank systemic risk during good times, suggesting that fostering the appropriate incentive framework is very important for ensuring systemic stability.     

Risk Exposures and International Diversification: Evidence from iShares

Abstract:   We examine the newly developed international diversification instruments–iShares traded on the American Stock Exchange. Given the fact that iShares can be created and redeemed at will, the daily price of an iShare is expected to be equal to the daily portfolio value of the underlying assets in the home‐country market. Therefore, theoretically, iShare pricing should be influenced by the risk from the iShare's home‐country market and not the risk from the US market, per se . We evaluate the risk exposure of iShare prices to the US market (non‐fundamental effect) as well as the home‐country market (the fundamental effect). We find that most iShare returns are significantly influenced by and sensitive to the US market risk. Moreover, the US market appears to be the key permanent driving factor and the home‐country market is a pronounced transitory driving force for iShare prices. These findings indicate the presence of limits of international arbitrage for iShares. As a result, the international diversification benefits of iShares become questionable.     

Systemic risk and the refinancing ratchet effect

The combination of rising home prices, declining interest rates, and near-frictionless refinancing opportunities can create unintentional synchronization of homeowner leverage, leading to a “ratchet” effect on leverage because homes are indivisible and owner-occupants cannot raise equity to reduce leverage when home prices fall. Our simulation of the U.S. housing market yields potential losses of $1.7 trillion from June 2006 to December 2008 with cash-out refinancing vs. only $330 billion in the absence of cash-out refinancing. The refinancing ratchet effect is a new type of systemic risk in the financial system and does not rely on any dysfunctional behaviors.     

Diversification,Fee Income,and Credit Union Risk

Australian credit unions (CUs) have introduced new fee generating activities, increased transaction fees on existing products, and diversified into residential mortgages. Using DeYoung and Roland’s degree of total leverage and other risk measures we find that more diversified CUs have lower risk and return. CUs that increase the revenue share of transaction fees (matched by a lower share of personal loan interest) increase risk and reduce returns while those that increase residential lending revenues reduce both risk and returns. There is also evidence of scale related economies with risk decreasing and returns increasing with CU size.JEL classification: G21Disclaimer: The views and opinions in this paper are those of the authors and do not necessarily reflect those of APRA.     

Measuring financial stress in a developed country: An application to Canada

This paper develops an index of financial stress for the Canadian financial system. It is a continuous variable with a spectrum of values, where extreme values are called financial crises. An internal Bank of Canada survey is used to condition the choice of variables. The authors show that alternative measures of financial crisis suggested by the literature do not accurately reflect the Canadian experience, while several measures developed in this paper are more representative and are thus likely better suited to a developed financial system. An accurate characterization of stress is a prerequisite for any researcher attempting to forecast financial crises.     

What is the net effect of financial liberalization on bank productivity? A decomposition analysis of bank total factor productivity growth

We employ a unique framework to quantify the net effect of financial liberalization on banks’ total factor productivity (TFP) growth through a decomposition analysis of two effects: a positive direct effect of financial liberalization on bank TFP growth; and a negative indirect effect operating through a higher propensity to systemic banking crisis. The empirical decomposition is based on a sample of 1530 banks operating in 88 countries over the period 1999–2011. We find that the net effect of financial liberalization on bank TFP growth is positive: the direct positive effect outweighs the negative one. An important policy implication flows from these findings.     

Optimal Decision-Making with Time Diversification

One of the most enduring topics in financial theory is thepersistence of investment risk across time. Traditional financelacks methods for considering and hedging non-diversifiablerisks. This paper is based on the general equilibrium model ofAllen and Gale (1997). We extend their model in variousdirections: the intermediary is a firm and not a planner,financial markets are assumed to be incomplete, and the mechanismof intergenerational risk-sharing is endogenously determined. Ourmodel allows for the analysis of optimal behavior of individualsand the intermediary together with the respective feedbackprocesses.     

Can CoCo-bonds mitigate systemic risk?

After the 2008 financial crisis, the idea of contingent convertible (CoCo) capital was revived as a means to stabilize individual banks, and hence the entire banking system. The purpose of this paper is to empirically test, whether CoCo-bonds indeed improve the stability of the banking system and reduce systemic risk. Using the broadly applied SRISK metric, we obtain contradicting results, which are based on the accounting of the CoCo-bond as debt or equity. This observation is problematic, as CoCo-bonds generally increase the loss-absorbing capacity of a bank. We remedy this shortcoming by proposing an adjustment to the original SRISK formula. Using empirical tests, we show that the undue disparity has been solved by our adjustment, and that CoCo-bonds reduce systemic risk, irrespective of their accounting. Our results are robust to different parametrizations and accounting standards, as well as issuance effects.     

How likely is contagion in financial networks?

Interconnections among financial institutions create potential channels for contagion and amplification of shocks to the financial system. We estimate the extent to which interconnections increase expected losses and defaults under a wide range of shock distributions. In contrast to most work on financial networks, we assume only minimal information about network structure and rely instead on information about the individual institutions that are the nodes of the network. The key node-level quantities are asset size, leverage, and a financial connectivity measure given by the fraction of a financial institution’s liabilities held by other financial institutions. We combine these measures to derive explicit bounds on the potential magnitude of network effects on contagion and loss amplification. Spillover effects are most significant when node sizes are heterogeneous and the originating node is highly leveraged and has high financial connectivity. Our results also highlight the importance of mechanisms that go beyond simple spillover effects to magnify shocks; these include bankruptcy costs, and mark-to-market losses resulting from credit quality deterioration or a loss of confidence. We illustrate the results with data on the European banking system.