Risk Management
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Risk Management2014-11-22Stan MilesCrowded Trades: An Overlooked Systemic Risk for Central Clearing Counterparties
http://d.repec.org/n?u=RePEc:dgr:uvatin:20140065&r=rmg
Counterparty default risk might hamper trade and trigger a financial crisis. The introduction of a central clearing counterparty (CCP) benefits trading but pushes systemic risk into CCP default. Standard risk management strategies at CCPs currently overlook a risk associated with crowded trades. This paper identifies it, measures it, and proposes a margin methodology that accounts for it. The application to actual CCP data illustrates that this hidden risk can become large, in particular at times of high CCP risk.Albert J. Menkveld2014-06-02Financial economicsModeling Systematic Risk and Point-in-Time Probability of Default under the Vasicek Asymptotic Single Risk Factor Model Framework
http://d.repec.org/n?u=RePEc:pra:mprapa:59025&r=rmg
Systematic risk has been a focus for stress testing and risk capital assessment. Under the Vasicek asymptotic single risk factor model framework, entity default risk for a risk homogeneous portfolio divides into two parts: systematic and entity specific. While entity specific risk can be modelled by a probit or logistic model using a relatively short period of portfolio historical data, modeling of systematic risk is more challenging. In practice, most default risk models do not fully or dynamically capture systematic risk. In this paper, we propose an approach to modeling systematic and entity specific risks by parts and then aggregating together analytically. Systematic risk is quantified and modelled by a multifactor Vasicek model with a latent residual, a factor accounting for default contagion and feedback effects. The asymptotic maximum likelihood approach for parameter estimation for this model is equivalent to least squares linear regression. Conditional entity PDs for scenario tests and through-the-cycle entity PD all have analytical solutions. For validation, we model the point-in-time entity PD for a commercial portfolio, and stress the portfolio default risk by shocking the systematic risk factors. Rating migration and portfolio loss are assessed.Yang, Bill Huajian2014-03-18point-in-time PD, through-the-cycle PD, Vasicek model, systematic risk, entity specific risk, stress testing, rating migration, scenario lossCredit risk measurement, leverage ratios and Basel III: proposed Basel III leverage and supplementary leverage ratios
http://d.repec.org/n?u=RePEc:pra:mprapa:59598&r=rmg
The Basel III Leverage Ratio, as originally agreed upon in December 2010, has recently undergone revisions and updates – both in relation to those proposed by the Basel Committee on Banking Supervision – as well as proposals introduced in the United States. Whilst recent proposals have been introduced by the Basel Committee to improve, particularly, the denominator component of the Leverage Ratio, new requirements have been introduced in the U.S to upgrade and increase these ratios, and it is those updates which relate to the Basel III Supplementary Leverage Ratio that have primarily generated a lot of interests. This is attributed not only to concerns that many subsidiaries of US Bank Holding Companies (BHCs) will find it cumbersome to meet such requirements, but also to potential or possible increases in regulatory capital arbitrage: a phenomenon which plagued the era of the original 1988 Basel Capital Accord and which also partially provided impetus for the introduction of Basel II. This paper is aimed at providing an analysis of the recent updates which have taken place in respect of the Basel III Leverage Ratio and the Basel III Supplementary Leverage Ratio – both in respect of recent amendments introduced by the Basel Committee and proposals introduced in the United States. As well as highlighting and addressing gaps which exist in the literature relating to liquidity risks, corporate governance and information asymmetries, by way of reference to pre-dominant based dispersed ownership systems and structures, as well as concentrated ownership systems and structures, this paper will also consider the consequences – as well as the impact - which the U.S Leverage ratios could have on Basel III. There are ongoing debates in relation to revision by the Basel Committee, as well as the most recent U.S proposals to update Basel III Leverage ratios and whilst these revisions have been welcomed to a large extent, in view of the need to address Tier One capital requirements and exposure criteria, there is every likelihood,indication, as well as tendency that many global systemically important banks (GSIBS), and particularly their subsidiaries, will resort to capital arbitrage. What is likely to be the impact of the recent proposals in the U.S.? The recent U.S proposals are certainly very encouraging and should also serve as impetus for other jurisdictions to adopt a pro-active approach – particularly where existing ratios or standards appear to be inadequate. This paper also adopts the approach of evaluating the causes and consequences of the most recent updates by the Basel Committee, as well as those revisions which have taken place in the U.S, by attempting to balance the merits of the respective legislative updates and proposals. The value of adopting leverage ratios as a supplementary regulatory tool will also be illustrated by way of reference to the impact of the recent legislative changes on risk taking activities, as well as the need to also supplement capital adequacy requirements with the Basel Leverage ratios and the Basel liquidity standards.Ojo, Marianne2014-08credit risk; liquidity risks; global systemically important banks (G-SIBs); leverage ratios; harmonization; accounting rules; capital arbitrage; disclosure; stress testing techniques; U.S Basel III Final RuleImpact of credit default swaps on financial contagion
http://d.repec.org/n?u=RePEc:arx:papers:1411.1356&r=rmg
It had been believed in the conventional practice that the risk of a bank going bankrupt is lessened in a straightforward manner by transferring the risk of loan defaults. But the failure of American International Group in 2008 posed a more complex aspect of financial contagion. This study presents an extension of the asset network systemic risk model (ANWSER) to investigate whether credit default swaps mitigate or intensify the severity of financial contagion. A protection buyer bank transfers the risk of every possible debtor bank default to protection seller banks. The empirical distribution of the number of bank bankruptcies is obtained with the extended model. Systemic capital buffer ratio is calculated from the distribution. The ratio quantifies the effective loss absorbency capability of the entire financial system to force back financial contagion. The key finding is that the leverage ratio is a good estimate of a systemic capital buffer ratio as the backstop of a financial system. The risk transfer from small and medium banks to big banks in an interbank network does not mitigate the severity of financial contagion.Yoshiharu Maeno, Kenji Nishiguchi, Satoshi Morinaga, Hirokazu Matsushima2014-09Does Executive Compensation Reflect Default Risk?
http://d.repec.org/n?u=RePEc:hhs:stavef:2014_011&r=rmg
We analyze whether executive compensation reflects firm default risk, measured by distance to default of Merton (1974). Using a large panel of firms, we explore several empirical frameworks. In least squares, fixed effects and quantile regression settings, default risk and volatility possess significant explanatory power for compensation. The signs of the estimated coefficients are consistent with higher compensation for higher risk-bearing--managers of firms with higher default risk are paid more. In the benchmark models, estimates for default risk are quite small, indicating effects on average compensation of around $9,000. The corresponding figure for the upper 5-percentile of CEOs is $50,000. Volatility has much larger average effects, in excess of $25 million, with upper 5-percent effects above $150 million. In a partial identification framework, compensation is systematically associated with default risk. Moving to a higher default risk firm raises compensation by at least $.96%, corresponding to around $70,000 for average CEOs, and above $400,000 for the top 5-percentile. The largest effect applies for moving into the highest default risk firms. For such firms, the treatment effect exceeds $180,000 for average CEOs, and for the top 5-percent, the effect is well above $1 million. Conditional means exhibit monotonicity, suggesting that compensation is amenable to a treatment response approach. Surprisingly, when we utilize an instrumental variables approach, an increase in default risk reduces total compensation. Thus our results uncover a complex but powerful link between firm risk and CEO compensation, which may make it difficult to regulate compensation by means such as `Say-on-Pay'.C, Loran, Eckbo, Espen, Lu, Ching-Chih2014-09-11Default; Executive Compensation; Treatment Response; Partial Identification; VolatilityEstimating and Forecasting Conditional Volatility and Correlations of the Dow Jones Islamic Stock Market Index Using Multivariate GARCH-DCC
http://d.repec.org/n?u=RePEc:pra:mprapa:58862&r=rmg
Volatility is a measure of variability in the price of an asset and is associated with unpredictability and uncertainty about the price. Even it is a synonym for risk; higher volatility means higher risk in the respective context. With regard to stock market, the extent of variation in stock prices is referred to stock market volatility. A spiky and rapid movement in the stock prices may throw out risk-averse investors from the market. Hence a desired level of volatility is demanded by the markets and its investors. The traditional methods of volatility and correlation analysis did not consider the effect of conditional (or time-varying) volatility and correlation. Hence a major issue facing the investors in the contemporary financial world is how to minimize risk while investing in a portfolio of assets. An understanding of how volatilities of and correlations between asset returns change over time including their directions (positive or negative) and size (stronger or weaker) is of crucial importance for both the domestic and international investors with a view to diversifying their portfolios for hedging against unforeseen risks as well as for dynamic option pricing. Therefore, appropriate modelling of volatility is of importance due to several reasons such as it becomes a key input to many investment decisions and portfolio creations, the pricing of derivative securities and financial risk management. Thus, in this paper, we aim to estimate and forecast conditional volatility of and correlations between daily returns of the seven selected Dow Jones Islamic and conventional price indexes spanning from 01/1/2003 to 31/3/2013. The sample period from January 30, 2003 to December, 13, 2010 amounting to 2053 daily observations are used for estimation and the remaining sample period is used for evaluation, through the application of the recently-developed Dynamic Multivariate GARCH approach to investigate empirical questions of the time-varying volatility parameters of these selected Dow Jones stock indices and time varying correlation among them. The contribution of this work is an improvement on others‘ works particularly in terms of time-varying volatility and correlation of assets incorporating Islamic assets. We find that all volatility parameters are highly significant, with the estimates very close to unity implying a gradual 2 volatility decay. The t-distribution appears to be more appropriate in capturing the fat-tailed nature of the distribution of stock returns and the conditional correlations of returns of all Dow Jones Islamic Markets, Dow Jones Islamic UK, and Dow Jones Islamic US Indices with other indices are not found constant but changing. The policy implications of this finding are that the shariah investors should monitor these correlations and mange their investment portfolios accordingly. In addition to this, the different financial markets offer different opportunities for portfolio diversification.Omer, Gamal Salih, Masih, Mansur2014-08-26conditional volatility and correlations of Islamic assets, forecast, MGARCH-DCCScore Driven exponentially Weighted Moving Average and Value-at-Risk Forecasting
http://d.repec.org/n?u=RePEc:dgr:uvatin:20140092&r=rmg
We present a simple new methodology to allow for time variation in volatilities using a recursive updating scheme similar to the familiar RiskMetrics approach. We update parameters using the score of the forecasting distribution rather than squared lagged observations. This allows the parameter dynamics to adapt automatically to any non-normal data features and robustifies the subsequent volatility estimates. Our new approach nests several extensions to the exponentially weighted moving average (EWMA) scheme as proposed earlier. Our approach also easily handles extensions to dynamic higher-order moments or other choices of the preferred forecasting distribution. We apply our method to Value-at-Risk forecasting with Student's t distributions and a time varying degrees of freedom parameter and show that the new method is competitive to or better than earlier methods for volatility forecasting of individual stock returns and exchange rates.Andr� Lucas, Xin Zhang2014-07-22dynamic volatilities, time varying higher order moments, integrated generalized autoregressive score models, Exponential Weighted Moving Average (EWMA), Value-at-Risk (VaR)European Market Portfolio Diversification Strategies across the GFC
http://d.repec.org/n?u=RePEc:dgr:uvatin:20140134&r=rmg
This paper features an analysis of the effectiveness of a range of portfolio diversification strategies as applied to a set of daily arithmetically compounded returns on a set of ten market indices representing the major European markets for a nine year period from the beginning of 2005 to the end of 2013. The sample period, which incorporates the periods of both the Global Financial Crisis (GFC) and subsequent European Debt Crisis (EDC), is challenging one for the application of portfolio investment strategies. The analysis is undertaken via the examination of multiple investment strategies and a variety of hold-out periods and back-tests. We commence by using four two year estimation periods and subsequent one year investment hold out period, to analyse a naive 1/N diversification strategy, and to contrast its effectiveness with Markowitz mean variance analysis with positive weights. Markowitz optimisation is then compared with various down-side investment opimisation strategies. We begin by comparing Markowitz with CVaR, and then proceed to evaluate the relative effectiveness of Markowitz with various draw-down strategies, utilising a series of backtests. Our results suggest that none of the more sophisticated optimisation strategies appear to dominate naive diversification.David E. Allen, Michael McAleer, Robert J. Powell, Abhay K. Singh2014-10-16Portfolio Diversification, Markowitz Analaysis, Downside Risk, CVaR, Draw-downThe non-linear trade-off between return and risk: a regime-switching multi-factor framework
http://d.repec.org/n?u=RePEc:ucd:wpaper:201414&r=rmg
This study develops a multi-factor framework where not only market risk is considered but also potential changes in the investment opportunity set. Although previous studies find no clear evidence about a positive and significant relation between return and risk, favourable evidence can be obtained if a non-linear relation is pursued. The positive and significant risk-return trade-off is essentially observed during low volatility periods. However, this relationship is not obtained during periods of high volatility. Also, different patterns for the risk premium dynamics in low and high volatility periods are obtained both in prices of risk and market risk dynamics.John Cotter, Enrique Salvador2014-11-06Non-linear risk-return trade-off, Pro-cyclical risk aversion, Regime-Switching GARCH, multi-factor model, Risk premiumqGaussian model of default
http://d.repec.org/n?u=RePEc:arx:papers:1410.6841&r=rmg
We present the qGaussian generalization of the Merton framework, which takes into account slow fluctuations of the volatility of the firms market value of financial assets. The minimal version of the model depends on the Tsallis entropic parameter q and the generalized distance to default. The empirical foundation and implications of the model are illustrated by the study of 645 North American industrial firms during the financial crisis, 2006 - 2012. All defaulters in the sample have exceptionally large, corresponding to unusually fat-tailed unconditional distributions of log-asset-returns. Using Receiver Operating Characteristic curves, we demonstrate the high forecasting power of the model in prediction of 1-year defaults. Our study suggests that the level of complexity of the realized time series, quantified by q, should be taken into account to improve valuations of default risk.Yuri A. Katz2014-10Choosing put option parameters based on quantiles from the distribution of portfolio value
http://d.repec.org/n?u=RePEc:pra:mprapa:58428&r=rmg
This paper explores how a put option changes the probability distribution of portfolio value. The paper extends the model introduced in Bell (2014) by allowing both the quantity and strike price to vary. I use the 5% quantile from the portfolio distribution to measure riskiness and compare different put options. I report a so-called ‘quantile surface’ that shows the quantile across different combinations of quantity and strike price. I find that it is possible to maximize the quantile by purchasing a put with quantity equal to one and strike deep in the money; however, the distribution with such a put option collapses to a single point because the option hedges all variation in stock price. This result is analogous to full-insurance in insurance economics, but has practical limitations. The quantile surface also shows that certain put options will decrease the quantile, which is equivalent to increasing the riskiness of the portfolio, and leads me to ask: what return will an investor receive in return for bearing that extra risk? I find that one such put option will cause the distribution to have an asymmetric shape with positive skewness, which is interesting to some speculators.Bell, Peter Newton2014-09-09Portfolio, put option, probability distribution, quantile, optimization, risk management, speculationExpected Utility and Catastrophic Risk
http://d.repec.org/n?u=RePEc:dgr:uvatin:20140133&r=rmg
An expected utility based cost-benefit analysis is in general fragile to its distributional assumptions. We derive necessary and sufficient conditions on the utility function of the expected utility model to avoid this. The conditions ensure that expected (marginal) utility remains finite also under heavy-tailed distributional assumptions. Our results are context-free and are relevant to many fields encountering catastrophic risk analysis, such as, perhaps most noticeably, insurance and risk management.Masako Ikefuji, Roger Laeven, Jan Magnus, Chris Muris2014-10-14Expected utility, Catastrophe, Cost-benefit analysis, Risk management, Power utility, Exponential utility, Heavy tailsAbnormal real operations, real earnings management, and subsequent crashes in stock prices
http://d.repec.org/n?u=RePEc:hhs:bofrdp:2014_019&r=rmg
We study the impact of firms’ abnormal business operations on their future crash risk in stock prices. Computed based on real earnings management (REM) models, firms' deviation in real operations from industry norms (DRO) is shown to be positively associated with their future crash risk. This association is incremental to that between discretionary accruals (DA) and crash risk found by prior studies. Moreover, after Sarbanes-Oxley Act (SOX) of 2002, DRO's predictive power for crash risk strengthens substantially, while DA's predictive power essentially dissipates. These results are consistent with the prior finding that managers shift from accrual earnings management (AEM) to REM after SOX. We further develop a suspect-firm approach to capture firms' use of DRO for REM purposes. This analysis shows that REM-firms experience a significant increase in crash risk in the following year. These findings suggest that the impact of DRO on crash risk is at least partially through REM.Francis, Bill B., Hasan, Iftekhar, Li , Lingxiang2014-07-09crash risk; deviation in real operations; earnings management; real earnings management; Sarbanes-OxleyA Primer on Regulatory Bank Capital Adjustments
http://d.repec.org/n?u=RePEc:pra:mprapa:55290&r=rmg
To calculate regulatory capital ratios, banks have to apply adjustments to book equity. These regulatory adjustments vary with a bank’s solvency position. Low-solvency banks report values of Tier 1 capital that exceed book equity. They use regulatory adjustments to inflate regulatory solvency ratios such as the Tier 1 leverage ratio and the Tier 1 risk-based capital ratio. In contrast, highly solvent banks report Tier 1 capital that is lower than book equity. These banks adjust their solvency ratios downward for prudential reasons, despite their resilient solvency levels. These results weaken the case for regulatory adjustments. The decreasing relationship between regulatory adjustments and bank solvency reflects the cost of deleveraging, a cost that demonstrates the resistance of banks to substituting equity for debt.Lubberink, Martien2014-03-30Keywords: Banking, Regulatory Capital, Solvency, Accounting.Modelling the Impact of New Capital Regulations on Bank Profitability
http://d.repec.org/n?u=RePEc:pra:mprapa:58323&r=rmg
This study models the impact of new capital regulations proposed under Basel III on bank profitability by constructing a stylized representative bank’s financial statements. We show that the higher cost associated with a one-percentage increase in the capital ratio can be recovered by increasing lending spreads. The results indicate that in the case of scheduled commercial banks, one-percentage point increase in capital ratio can be recovered by increasing the bank lending spread by 31 basis points and would go upto an extent of 100 basis points for six-percentage point increase assuming that the risk weighted assets are unchanged. We also provide the estimations for the scenarios of changes in risk weighted assets, changes in return on equity (ROE) and the cost of debt.Swamy, Vighneswara2014Banks, Regulation, Basel III, Capital, Interest IncomeOptimal hedging with the cointegrated vector autoregressive model
http://d.repec.org/n?u=RePEc:aah:create:2014-40&r=rmg
We derive the optimal hedging ratios for a portfolio of assets driven by a Cointegrated Vector Autoregressive model (CVAR) with general cointegration rank. Our hedge is optimal in the sense of minimum variance portfolio. We consider a model that allows for the hedges to be cointegrated with the hedged asset and among themselves. We find that the minimum variance hedge for assets driven by the CVAR, depends strongly on the portfolio holding period. The hedge is defined as a function of correlation and cointegration parameters. For short holding periods the correlation impact is predominant. For long horizons, the hedge ratio should overweight the cointegration parameters rather then short-run correlation information. In the infinite horizon, the hedge ratios shall be equal to the cointegrating vector. The hedge ratios for any intermediate portfolio holding period should be based on the weighted average of correlation and cointegration parameters. The results are general and can be applied for any portfolio of assets that can be modeled by the CVAR of any rank and order.Søren Johansen, Lukasz Gatarek2014-09-18hedging, cointegration, minimum variance portfolioAre banks’ below-par own debt repurchases a cause for prudential concern?
http://d.repec.org/n?u=RePEc:pra:mprapa:59475&r=rmg
In the lead-up to the implementation of Basel III, European banks bought back debt securities that traded at a discount. Banks engaged in these Liability Management Exercises (LMEs) to realize a fair value gain that the accounting and prudential rules exclude from regulatory capital calculations, this to safeguard the safety and soundness of the banking system. For a sample of 720 European LMEs conducted from April 2009 to December 2013, I show that banks lost about 9.3 billion euros in premiums to compensate investors for parting from their debt securities. This amount would have been recognized as Core Tier 1 regulatory capital, if regulation would accept the recognition of fair value gains on debt. The premiums paid are particularly high for the most loss absorbing capital securities. More importantly, the premiums increase with leverage and in times of stress, right when conserving cash is paramount to preserve the safety and soundness of the banking system. These results weaken the case of the exclusion from regulatory capital of unrealized gains that originate from a weakened own credit standing.Lubberink, Martien2014-10-20Banking, repurchases, subordinated debt.Integration and Comovement of Developed and Emerging Islamic Stock Markets: A Case Study of Malaysia
http://d.repec.org/n?u=RePEc:pra:mprapa:58799&r=rmg
This paper attempts to analyse the extent of financial integration of two developed (the U.S. and Japan) and two emerging Islamic stock markets (China and India) with the Malaysian Islamic stock market in order for the Malaysian financial traders to make decision about their portfolio diversification, risk management and asset allocation. Despite the growing interest in Islamic finance, there are few empirical studies investigating integration of Islamic stock markets. As a result there is a certain gap in the literature pertaining to this area of research. By applying recent related techniques, this paper examines the correlations among these Islamic stock markets in a timevariant manner to indicate the degree of financial integration among them. It is found that Strong financial integration exists between the Chinese and Malaysian Islamic stock markets. Furthermore, the study suggests that in the long run, investors in Malaysia could gain by diversifying their portfolios in Japan and in the short run the US market is a better option to consider. Overall, the developed Islamic stock markets are better for the Malaysian financial traders rather than the emerging markets.Naseri, Marjan, Masih, Mansur2014-08-22International Portfolio Diversification, Dynamic Conditional Correlation (DCC), Multivariate GARCH, Islamic Stock Indices, Financial Integration, CWT, MODWT, Wavelet Coherence