Market capitalization and Value-at-Risk

The potential of economic variables for financial risk measurement is an open field for research. This article studies the role of market capitalization in the estimation of Value-at-Risk (VaR). We test the performance of different VaR methodologies for portfolios with different market capitalization. We perform the analysis considering separately financial crisis periods and non-crisis periods. We find that VaR methods perform differently for portfolios with different market capitalization. For portfolios with stocks of different sizes we obtain better VaR estimates when taking market capitalization into account. We also find that it is important to consider crisis and non-crisis periods separately when estimating VaR across different sizes. This study provides evidence that market fundamentals are relevant for risk measurement.     

International Evidence on Risk Taking by Banks Around the Global Financial Crisis

This study models the risks of commercial banks from the United States and developed, emerging, and frontier countries while controlling for bank- and country-specific variables within a panel framework. Bank risk is measured by both the traditional Z-score and a composite bank risk index proposed by the authors. The findings suggest that even though the riskiness of all banks from different country groups increased following the financial crisis, the magnitude of the change is not the same across groups. During the post-crisis period, banks in developed, emerging, and frontier countries experienced a smaller increase in their risk compared to their counterparts in the United States. This article provides support for the claim that banks in emerging and frontier countries have experienced the effects of the financial crisis to a lesser extent compared to those in the United States.     

Comparing COVID-19 with the GFC: A shockwave analysis of currency markets

I analyze the shockwave effect of the COVID-19 pandemic on currency markets, with a comparison to the global financial crisis (GFC), employing Kapetanios m-break unit root test, investigations of standalone risk measures—downside variance, upside risk, volatility skewness, Gaussian Value at Risk (VaR), historical VaR, modified VaR—and Diebold–Yilmaz volatility spillover analysis. Standalone risk analysis shows that the turmoil in the initial months of COVID-19 was not as severe as that in the GFC. However, examination of co-movements and volatility spillovers illustrates a different scenario. According to the results of the static connectedness measure of Diebold–Yilmaz, the shockwave of the COVID-19 pandemic in the total volatility spillover is about eight times greater than that of the GFC. Among standalone risk measures, the results closest to this finding are obtained from volatility skewness analysis. Additionally, of six foreign exchange rates, the Brazilian real and Turkish lira are the currencies experiencing the greatest increase in received volatility during the GFC and the COVID-19 pandemic, respectively. These findings suggest the severe effect of crises on emerging financial markets.     

El efecto de la volatilidad del peso mexicano en los rendimientos y riesgo de la Bolsa Mexicana de Valores

The effect of heavy tails due to rare events and different levels of asymmetry associated with high volatility clustering in the emerging financial markets requires sophisticated models for statistical modelling of such stylized facts. This article applies extreme value theory (EVT) to quantify tail risk on the daily returns of Mexican stock market under aggregation of foreign exchange rate risk from January 1971 to December 2010. This study focuses on the maximum-block method and generalized extreme value distribution (GEVD) to model the asymptotic behavior of extreme returns in US dollars. The empirical results show that EVT-Based VaR measured at high confidence levels performs better than simulation historical and delta-normal VaR models on capturing fat-tails in the returns of highly volatile stock markets. Additionally, international investors holding long positions in Mexican stock market are more prone to experience larger potential losses than investors with short positions during local currency depreciation and financial crisis periods.     

The role of foreign currency debt in financial crises: 1880–1913 versus 1972–1997

We show that exposure to foreign currency debt does not necessarily increase the risk of having a financial crisis. Some countries do not suffer from financial fragility despite original sin. Before 1913 British offshoots and Scandinavia afflicted with it avoided financial meltdowns. Today many advanced countries have original sin, but few have had crises. In both periods, aggregate balance sheet mismatches are associated with a greater likelihood of a crisis. The evidence suggests that foreign currency debt is dangerous when mis-managed. This is part of the difference between developed countries and emerging markets both of which borrow in foreign currency.     

An evaluation of bank measures for market risk before,during and after the financial crisis

We study the performance and behavior of Value at Risk measures used by a number of large U.S. banks before, during and after the financial crisis. Alternative benchmark VaR measures, including GARCH-based measures, are estimated directly from the banks’ trading revenues to explain the bank VaR performance results. While overly conservative in both the pre-crisis and post-crisis periods, bank VaR exceedances were excessive and clustered in the crisis period. This contrasted with mostly unbiased benchmark HS and GARCH VaRs in the pre-crisis and post-crisis periods, and vastly superior GARCH-based VaR performance in the crisis period with lower exceedance rates and no exceedance clustering. Our results document the bank VaRs very slow adjustment to changing market conditions and their systematic bias in all studied periods. Our results indicate that bank VaRs could be improved by the use of models with time-varying volatility, and built on banks’ knowledge of their current positions.     

Emerging Bond Market Volatility and Country Spreads

Using JPMorgan's emerging market bond index, this paper analyzes how increases in country credit spreads can persist in emerging bond markets. The results of T-GARCH regressions show that, during financial crisis periods, emerging countries' credit spreads may increase persistently as a result of interaction between changes in spreads and volatilities, making emerging bond markets more turbulent. The results suggest that emerging countries should endeavor to develop a stabilization mechanism by enhancing information efficiency in bond markets. In particular, because Asian countries have experienced persistent, overreactive volatility, this paper implies that Asian countries should work together more closely during financial crisis periods.     

Financial contagion and the real economy

This paper studies the spread of the Global Financial Crisis of 2007–2009 from the financial sector to the real economy by examining ten sectors in 25 major developed and emerging stock markets. The analysis tests different channels of financial contagion across countries and sectors and finds that the crisis led to an increased co-movement of returns among financial sector stocks across countries and between financial sector stocks and real economy stocks. The results demonstrate that no country and sector was immune to the adverse effects of the crisis limiting the effectiveness of portfolio diversification. However, there is clear evidence that some sectors in particular Healthcare, Telecommunications and Technology were less severely affected by the crisis.     

How using derivatives affects bank stability in emerging countries? Evidence from the recent financial crisis

Based on banks exclusively from emerging countries over the whole period 2003–2011, this paper aims to investigate whether the use of derivative instruments are responsible in the amplification of the recent and global financial crisis. To do that, we measure the effect of derivatives use on stability of banks from emerging countries during normal period “the pre-crisis period”, 2003–2006, and turbulent period “the crisis and post-crisis period”, 2007–2011. We use the Generalized Methods of Moments (GMM) estimator technique developed by Blundell and Bond to estimate our regressions.The main findings show that contrarily to forwards and swaps – which are not disruptive factors – futures and especially options, weaken the stability of banks from emerging countries. The major conclusion is that only options and futures can be considered as risky derivatives and partly responsible in the intensification of the last financial crisis.     

Extreme risk spillover network: application to financial institutions

Using the CAViaR tool to estimate the value-at-risk (VaR) and the Granger causality risk test to quantify extreme risk spillovers, we propose an extreme risk spillover network for analysing the interconnectedness across financial institutions. We construct extreme risk spillover networks at 1% and 5% risk levels (which we denote 1% and 5% VaR networks) based on the daily returns of 84 publicly listed financial institutions from four sectors—banks, diversified financials, insurance and real estate—during the period 2006–2015. We find that extreme risk spillover networks have a time-lag effect. Both the static and dynamic networks show that on average the real estate and bank sectors are net senders of extreme risk spillovers and the insurance and diversified financials sectors are net recipients, which coheres with the evidence from the recent global financial crisis. The networks during the 2008–2009 financial crisis and the European sovereign debt crisis exhibited distinctive topological features that differed from those in tranquil periods. Our approach supplies new information on the interconnectedness across financial agents that will prove valuable not only to investors and hedge fund managers, but also to regulators and policy-makers.     

Systemic risk measurement: Multivariate GARCH estimation of CoVaR

We modify Adrian and Brunnermeier’s (2011) CoVaR, the VaR of the financial system conditional on an institution being in financial distress. We change the definition of financial distress from an institution being exactly at its VaR to being at most at its VaR. This change allows us to consider more severe distress events, to backtest CoVaR, and to improve its consistency (monotonicity) with respect to the dependence parameter. We define the systemic risk contribution of an institution as the change from its CoVaR in its benchmark state (defined as a one-standard deviation event) to its CoVaR under financial distress. We estimate the systemic risk contributions of four financial industry groups consisting of a large number of institutions for the sample period June 2000 to February 2008 and the 12 months prior to the beginning of the crisis. We also investigate the link between institutions’ contributions to systemic risk and their characteristics.     

金融危机持续蔓延，亚洲新兴市场未能幸免

美国金融危机造成了全球市场的动荡,亚洲新兴市场国家也受到不同程度的影响。尽管亚洲国家在此次危机中的直接损失有限。但其金融市场也遭受了诸如股市暴跌、汇率下滑等波动。油价回落、出口疲软和资金抽逃将使亚洲国家面临压力,未来经济前景面临不确定性。部分国家如韩国、印度和印尼,尤其是韩国出现危机的可能性较大。     

When more is less: Using multiple constraints to reduce tail risk

Financial institutions suffered large trading losses during the 2007–2009 global financial crisis. These losses cast doubt on the effectiveness of regulations and risk management systems based on a single Value-at-Risk (VaR) constraint. While some researchers have recommended using Conditional Value-at-Risk (CVaR) to control tail risk, VaR remains popular among practitioners and regulators. Accordingly, our paper examines the effectiveness of multiple VaR constraints in controlling CVaR. Under certain conditions, we theoretically show that they are more effective than a single VaR constraint. Furthermore, we numerically find that the maximum CVaR permitted by the constraints is notably smaller than with a single constraint. These results suggest that regulations and risk management systems based on multiple VaR constraints are more effective in reducing tail risk than those based on a single VaR constraint.     

Determinants of time varying co-movements among international stock markets during crisis and non-crisis periods

In this paper, we use the DCC MIDAS approach to assess the validity of the wake-up call hypothesis for developed and emerging markets during the global financial crisis (GFC). We use this approach to decompose the total correlations into short- (daily) and long-run (quarterly) correlations for the period from 1999 to 2011. We then examine the transmission mechanisms by regressing the quarterly economic, financial, and behavioral variables on the quarterly DCC–MIDAS correlations. We find that country specific factors are crisis contingent transmission mechanisms for the co-movements of emerging country pairs and mixed pairs of advanced and emerging countries during the global financial crisis. However, we do not observe wake-up calls in the transmission of the crisis among advanced country pairs. The classification of the transmission mechanisms for crisis and non-crisis periods with the different country pairs has important implications for crisis management as well as for portfolio investment strategies. Thus, our findings contribute to the discussion on the role and effectiveness of the international financial architecture.     

当前金融保护主义的影响、趋势及对策

由美国次贷危机引发的全球金融危机对实体经济和金融部门都造成了严重的冲击,欧美等发达经济体和印度、巴西等新兴市场国家经济增长放缓,不少国家陷入衰退.为防止危机进一步蔓延,对实体经济造成更严重的影响.金融保护主义成为一些国家的重要救市工具.本文对当前金融保护主义的形式、国内外影响和未来趋势进行了分析,并提出相应的策略应对金...     

A Bayesian encompassing test using combined value-at-risk estimates

The Value at Risk (VaR) is a risk measure that is widely used by financial institutions in allocating risk. VaR forecast estimation involves the conditional evaluation of quantiles based on the currently available information. Recent advances in VaR evaluation incorporate conditional variance into the quantile estimation, yielding the Conditional Autoregressive VaR (CAViaR) models. However, the large number of alternative CAViaR models raises the issue of identifying the optimal quantile predictor. To resolve this uncertainty, we propose a Bayesian encompassing test that evaluates various CAViaR models predictions against a combined CAViaR model based on the encompassing principle. This test provides a basis for forecasting combined conditional VaR estimates when there are evidences against the encompassing principle. We illustrate this test using simulated and financial daily return data series. The results demonstrate that there are evidences for using combined conditional VaR estimates when forecasting quantile risk.     

Asymmetry and downside risk in foreign exchange markets

Abstract

This paper evaluates the double gamma distribution as a means of modelling asymmetry in the conditional distribution of financial data. To do this the model is applied to ten exchange rate series covering mature and emerging market countries. A second contribution of this paper is to highlight the link between the double gamma distribution and the measurement of the second lower partial moment (or semi-variance). The resulting empirical performance of the double gamma model is found to be mixed when compared to a symmetric GARCH-t model. Estimates of conditional downside risk based on the double gamma model are constructed for each series. The results for the Malaysian Riggit, Zimbabwe Dollar and the Korean Won demonstrate the extreme downside volatility experienced by these countries during the emerging markets currency crisis.     

On cross-border bank credit and the U.S. financial crisis transmission to equity markets

This paper examines the role played by cross-border equity, bond and bank credit flows versus international trade in the transmission of the U.S. financial crisis to equity markets worldwide. We estimate vector autoregressive models with exogenous global factors using monthly data on 36 emerging and developed countries. The results from an eclectic methodology that includes causality tests, generalized impulse responses and forecast error variance decompositions indicate that the crisis is mostly transmitted through bank credit rather than portfolio flows and international trade. The results are robust to altering the exogenous versus endogenous vectors of variables, to measuring equity prices in U.S. dollars or local currency, to averaging the data across countries versus averaging the parameters from individual country estimation, and to redefining the start date of the crisis. The findings endorse the use of banking regulation and capital controls as part of the policy toolkit to limit financial vulnerability.     

Are Islamic stock indexes exposed to systemic risk? Multivariate GARCH estimation of CoVaR

The main objective of this paper is to assess the exposure of Islamic stock indexes to systemic tail events. We use Conditional Value-at-Risk (CoVaR) and Delta CoVaR measures as developed by Adrian and Brunnermeier (2011) and a sample of Islamic and conventional stock indexes, from various developed and emerging markets, during the period September 2005 to March 2015. The empirical results reveal that the systemic risk has a moderate adverse effect on Islamic indexes, with a lower level in Gulf Cooperation Council countries (GCC hereafter). The findings also show the Asian stock indexes can be considered as effective hedge assets, after the global financial crisis (GFC hereafter). Furthermore, the empirical reveal that portfolio including Islamic stock indexes performs better than a benchmark portfolio in turmoil periods. These findings have several implications in financial decisions including the strategy of stability and asset allocation.