Credit risk transfer and financial sector performance

In this paper we study the impact of credit risk transfer (CRT) on the stability and the efficiency of a financial system in a model with endogenous intermediation and production. Our analysis suggests that with respect to CRT, the individual incentives of the agents in the economy are generally aligned with social incentives. Hence, CRT does not pose a systematic challenge to the functioning of the financial system and is generally welfare enhancing. However, we identify issues that should be addressed by the regulatory authorities in order to minimize the potential costs of CRT. These include: ensuring the development of new methods of CRT that allow risk to be more perfectly transferred, setting regulatory standards that reflect differences in the social cost of instability in the banking and insurance sector; promoting CRT instruments that are nor detrimental to the monitoring incentives of banks

Surprise volume and heteroskedasticity in equity market returns

Heterosedasticity in returns may be explainable by trading volume. We use different volume variables, including surprise volume - i.e. unexpected above-avergae trading activity - which is derived from uncorrelated volume innovations. Assuming eakly exogenous volume, we extend the Lamoureux and Lastrapes (1990) model by an asymmetric GARCH in-mean specification following Golstein et al. (1993). Model estimation for the U.S. as well as six large equity markets shows that surprise volume superior model fit and helps to explain volatility persistence as well as excess kurtosis. Surprise volume reveals a significant positive market risk premium, asymmetry, and a surprise volume effect in conditional variance. The findings suggest that, e.g., a surprise volume shock (breakdown) - i.e. large (small) contemporaneous and small (large) lagged surprise volume - relates to increased (decreased) conditional market variance and return. --ARCH,trading volume,return volume dependence,asymmetric volatility,market risk premium,leverage effect

Surprise Volume and Heteroskedasticity in Equity Market Returns

Heteroskedasticity in returns may be explainable by trading volume. We use different volume variables, including surprise volume---i.e. unexpected above-average trading activity---which is derived from uncorrelated volume innovations. Assuming weakly exogenous volume, we extend the Lamoureux and Lastrapes (1990) model by an asymmetric GARCH in-mean specification following Golsten et al. (1993). Model estimation for the U.S. as well as six large equity markets shows that surprise volume provides superior model fit and helps to explain volatility persistence as well as excess kurtosis. Surprise volume reveals a significant positive market risk premium, asymmetry, and a surprise volume effect in conditional variance. The findings suggest that, e.g., a surprise volume shock (breakdown)---i.e. large (small) contemporaneous and small (large) lagged surprise volume---relates to increased (decreased) conditional market variance and return.ARCH, trading volume, return volume dependence, asymmetric volatility, market risk premium, leverage effect

Bank Behavior with Access to Credit Risk Transfer Markets

One of the most important recent innovations in financial markets has been the development of credit derivative products that allow banks to more actively manage their credit portfolios than ever before.We analyze the effect that access to these markets has had on the lending behavior of a sample of banks, using a sample of banks that have not accessed these markets as a control group. We find that banks that adopt advanced credit risk management techniques (proxied by the issuance of at least one collateralized loan obligation) experience a permanent increase in their target loan levels of around 50%. Partial adjustment to this target, however, means that the impact on actual loan levels is spread over several years.Our findings confirm the general efficiency enhancing implications of new risk management techniques in a world with frictions suggested in the theoretical literature.credit risk transfer;risk management;bank lending

Bank behaviour with access to credit risk transfer markets

One of the most important recent innovations in financial markets has been the development of credit derivative products that allow banks to more actively manage their credit portfolios than ever before. We analyse the effect that access to these markets has had on the lending behaviour of a sample of banks, using a sample of banks that have not accessed these markets as a control group. We find that banks that adopt advanced credit risk management techniques (proxied by the issuance of at least one collateralized loan obligation) experience a permanent increase in their target loan levels of around 50%. Partial adjustment to this target, however, means that the impact on actual loan levels is spread over several years. Our findings confirm the general efficiency-enhancing implications of new risk management techniques in a world with frictions suggested in the theoretical literature.credit derivatives; bank loans; moral hazard

Bank Behavior with Access to Credit Risk Transfer Markets

One of the most important recent innovations in financial markets has been the development of credit derivative products that allow banks to more actively manage their credit portfolios than ever before.We analyze the effect that access to these markets has had on the lending behavior of a sample of banks, using a sample of banks that have not accessed these markets as a control group. We find that banks that adopt advanced credit risk management techniques (proxied by the issuance of at least one collateralized loan obligation) experience a permanent increase in their target loan levels of around 50%. Partial adjustment to this target, however, means that the impact on actual loan levels is spread over several years.Our findings confirm the general efficiency enhancing implications of new risk management techniques in a world with frictions suggested in the theoretical literature.

An improved error assessment for the GEM-T1 gravitational model

Several tests were designed to determine the correct error variances for the GEM-T1 gravitational solution which was derived exclusively from satellite tracking data. The basic method employs both wholly independent and dependent subset data solutions and produces a full field coefficient by coefficient estimate of the model uncertainties. The GEM-T1 errors were further analyzed using a method based upon eigenvalue-eigenvector analysis which calibrates the entire covariance matrix. Dependent satellite and independent altimetric and surface gravity data sets, as well as independent satellite deep resonance information, confirm essentially the same error assessment