The impact of central clearing on counterparty risk,liquidity, and trading: Evidence from the credit default swap market

This paper examines the impact of central clearing on the credit default swap (CDS) market using a sample of voluntarily cleared single-name contracts. Consistent with central clearing reducing counterparty risk, CDS spreads increase around the commencement of central clearing and are lower than settlement spreads published by the central clearinghouse. Furthermore, the relation between CDS spreads and dealer credit risk weakens after central clearing begins, suggesting a lowering of systemic risk. These findings are robust to controls for frictions in both CDS and bond markets. Finally, matched sample analysis reveals that the increased post-trade transparency following central clearing is associated with an improvement in liquidity and trading activity.     

Counterparty risk and funding: immersion and beyond

In Crépey (Math. Finance 25:23–50, 2015), a basic reduced-form counterparty risk modelling approach was introduced under a standard immersion hypothesis between a reference filtration and the filtration progressively enlarged by the default times of the two parties. This basic setup, with a related continuity assumption on some of the data at the first default time of the two parties, is too restrictive for wrong-way and gap risk applications, such as counterparty risk on credit derivatives. This paper introduces an extension of the basic approach, implements it through marked default times and applies it to counterparty risk on credit derivatives.     

Bankruptcy, Counterparty Risk, and Contagion

This paper provides a unifying framework for the modeling ofvarious types of credit risks such as contagion effects. Weargue that Markov chains can efficiently be used to tackle theseproblems. However, our approach is not limited to pricing problemswith contagion. On the theoretical side, we derive pricing formulasfor three building blocks that are generalizations of contingentclaims studied in Lando (1998). These claims can be thoughtof as atoms forming the basis for all credit risk payments.Furthermore, we demonstrate that, in general, all contingentclaims exposed to credit risk satisfy a system of partial differentialequations. This is the key result to calculate prices of creditrisk claims explicitly and efficiently.     

Valuation of insurers’ contingent capital with counterparty risk and price endogeneity

This study develops a structural framework to value insurers’ contingent capital with counterparty risk (CR) and overcomes the problem of price endogeneity (PE) in the valuation model. Our results on the focal contingent capital instrument – catastrophe equity put option (CatEPut) – indicate that prices can be significantly overestimated without considering CR and be significantly underestimated without considering PE. This study also examines how CatEPuts affect the buyer’s probability of default (PD). Our results show that buying a CatEPut lowers the PD for high-risk insurers, but not necessarily so for low-risk insurers; however, without taking CR and PE into account, one may significantly overestimate the credit enhancement provided by the CatEPuts.     

Technological innovations and aggregate risk premiums

In this paper, I propose that technological innovations increase expected stock returns and premiums at the aggregate level. I use aggregate patent data and research and development (R&D) data to measure technological innovations in the U.S., and find that patent shocks and R&D shocks have positive and distinct predictive power for U.S. market returns and premiums. Similar patterns are also found in international data including other G7 countries, China, and India. These findings are consistent with previous empirical studies based on firm-level data, and call for further theoretical explanations.     

The value premium,aggregate risk innovations,and average stock returns

We test whether innovations in aggregate risk, interpolated from a vector autoregressive system that contains the Chen et al. (1986) five factors as in Petkova (2006), are common factors in cross-sectional stock returns. We provide direct evidence that innovation in industrial production growth, a classical business-cycle variable that summarizes the state of the economy, is associated with the cross-sectional return predictability of individual stocks. We conclude that the role of innovation in aggregate risk is not random, and furthermore that it provides guidance concerning an important source of nonfinancial market-based risk in asset returns.     

Time-varying idiosyncratic risk and aggregate consumption dynamics

Long-term earnings losses for displaced workers are large and counter-cyclical. Similarly, the skewness of earnings growth rates is strongly pro-cyclical. This paper presents an incomplete markets business cycle model in which idiosyncratic risk varies over time in accordance with these empirical findings. These dynamics of idiosyncratic risk give rise to a cyclical precautionary savings motive that substantially raises the volatility of aggregate consumption growth. According to the model, idiosyncratic risk spiked during the Great Recession, leading to a substantial decline in aggregate consumption.     

Long run productivity risk and aggregate investment

Long-run productivity risk – shocks to the growth rate of productivity – offers an alternative to microfrictions explanations of aggregate investment non-linearities, in particular the heteroscedasticity of investment rate. Additionally, consistent with the data, these shocks imply that investment rate is history dependent (rising through expansions), its growth is positively autocorrelated, and it is positively correlated with output growth at various leads and lags. A standard model with shocks to the level of productivity either predicts opposite investment behavior or fails to quantitatively capture these features in the data.     

Pricing commodity-linked bonds with stochastic convenience yield,interest rate and counterparty credit risk: application of Mellin transform methods

Review of Derivatives Research - This paper investigates the effects of the spot underlying commodity price, stochastic convenience yield, interest rate and counterparty credit risk on the pricing...     

A model-independent measure of aggregate idiosyncratic risk

This paper introduces a model-independent measure of aggregate idiosyncratic risk, which does not require estimation of market betas or correlations and is based on the concept of gain from portfolio diversification. The statistical results and graphical analyses provide strong evidence that there are significant level and trend differences between the average idiosyncratic volatility measures of Campbell et al. [Campbell, J.Y., Lettau, M., Malkiel, B.G., and Xu, Y., 2001, Have individual stocks become more volatile? An empirical exploration of idiosyncratic risk, Journal of Finance 56, 1–43.] and the new methodology. Although both approaches indicate a noticeable increase in the firm-level idiosyncratic risk, the volatility measure of CLMX is greater and has a stronger upward trend than the new idiosyncratic volatility measure. For both measures of idiosyncratic risk, the upward trend is found to be stronger for smaller, lower-priced, and younger firms. The analytical and empirical results show that the significant upward trend in the differences of the two idiosyncratic volatility measures is related to the increase in the cross-sectional dispersion of the volatility of individual stocks.     

Credit valuation adjustment of cap and floor with counterparty risk: a structural pricing model for vulnerable European options

This study develops a structural pricing model based on the Black 76 formula for the evaluation of the credit value adjustment (CVA) of OTC traded caps and floors, which is mandated as an integral part of Basel III. The proposed structural pricing model improves the existing structural pricing models for vulnerable European options by allowing payments to be made after the exercise of the options. Five crucial determinants of caps’ and floors’ CVAs are identified by the proposed structural model, they are: the cap’s/floor’s tenor, the writer’s total asset value, the correlation between the cap’s/floor’s underlying and the writer’s total asset value, the volatility of the writer’s total asset value, and the writer’s aggregate liabilities. Numerical examples are given to demonstrate the effects of the crucial parameters. Compared to the market practice of CVA calculation based on reduced-form models, the five crucial parameters are the unique features of the proposed structural model.     

关于交易对手风险及其敞口测度的综述

交易对手风险主要存在于证券融资交易业务和场外衍生产品业务(OTC Derivative)中,其中以场外衍生业务表现尤为显著。在2008年金融危机从发端、发展到最后演变为系统性金融风险的过程中,交易对手风险被视作违约风险的传染源和市场波动的放大器,展现了巨大的破坏性。归纳交易对手风险研究的演进过程,提出未来研究的重点方向。     

Using accounting earnings and aggregate economic indicators to estimate firm-level systematic risk

Review of Accounting Studies - We revisit the literature on using accounting earnings to estimate firm-level systematic risk, using macroeconomic indicators rather than listed-firm indexes to...     

Time-to-build, monetary shocks, and aggregate fluctuations

The idea that the investment process takes time to produce finished capital goods was an integral part of Kydland and Prescott's early work on real business cycles, but this feature has been dropped in much recent work, mainly because it seemed to have little effect on macroeconomic dynamics. With a generalization of the “time-to-build” feature that incorporates multiple types of capital, however, a New Keynesian model can produce “u-shaped” responses in output, investment, and inflation to a monetary policy shock. Such responses are not found in many studies that assume no time-to-build friction. In addition, different specifications of the time-to-build structure result in substantially different response patterns for these aggregate variables.     

Adjustment costs,durables, and aggregate consumption

Previous tests of the permanent-income hypothesis (PIH) have focused on either non-durables or durables expenditures in isolation. This paper studies consumer purchases of non-durables and durables as the outcome of a single optimization problem. It is shown that, with non-separability in utility, the presence of adjustment costs of changing durables stocks may affect the time series properties of both components of expenditure. An econometric test of the PIH based on the model developed in the paper is both more efficient and less prone to bias than those in some previous studies; however, this test confirms earlier rejections of the PIH in aggregate quarterly data.     

Pricing counterparty default risks: Applications to FRNs and vulnerable options

This paper provides simple closed-form pricing models for floating-rate notes and vulnerable options under the counterparty risk framework of [Jarrow, R., Yu, F., 2001. Counterparty risk and the pricing of default risk. Journal of Finance 56, 1765-1799]. After deriving closed-form pricing models for them, this paper illustrates the impact of the default intensity of counterparty on the prices of floating-rate notes and vulnerable options. Numerical examples show that the default risk of counterparty is an important factor of the value of floating-rate notes and vulnerable options.     

Interest rates,aggregate information,and monetary policy

Interest rates set on economy-wide markets represent an important source of information to economic agents, within the class of business cycle models advanced by Lucas and Barro. This paper explores the information conveyed by such aggregate signals and the types of monetary policies that can influence economic activity by changing the information content of interest rates.     

Accruals,cash flows,and aggregate stock returns

This paper examines whether the firm-level accrual and cash flow effects extend to the aggregate stock market. In sharp contrast to previous firm-level findings, aggregate accruals is a strong positive time series predictor of aggregate stock returns, and cash flows is a negative predictor. In addition, innovations in accruals are negatively contemporaneously correlated with aggregate returns, and innovations in cash flows are positively correlated with returns. These findings suggest that innovations in accruals and cash flows contain information about changes in discount rates, or that firms manage earnings in response to marketwide undervaluation.