in the market. However, little is known about their default risk. The reason is that these banks usually resolve … never before been exploited for macroprudential purposes. We use the data to identify the main risk drivers. To this end we … information for banks' risk assessment. Contrary to recent literature, we find that macroeconomic information significantly …

different risk preferences and measure efficiency with a structural model based on utility maximization. Using the almost ideal … demand system, we estimate input and profit demand functions to obtain proxies for expected return and risk. Efficiency is … then measured in this risk-return space. Mean risk-return efficiency is somewhat higher than cost and considerably higher …

Measuring risk in the stock market context is one of the key challenges of modern finance. Despite of the substantial … significance of the topic to investors and market regulators, there is a controversy over what risk factors should be used to price … the assets or to determine the cost of capital. We empirically investigate the ability of several commonly proposed risk …

There has been a revival of interest in the effect of risk on economic growth. We quantify both ex ante and ex post … effects of risk using a stochastic version of the Ramsey model. We develop a simulation-based econometric methodology which … remarkable long-running panel data set for rural households in Zimbabwe. We find that risk substantially reduces growth: in the …

to meet their financial obligations. It is based on classical financial-statement approach, a direct inclusion of risk …

earnings deter risk-averse individuals. In this paper I analyse the expected value and variance of income in self …-employment entry and exit under risk are estimated, which include a standard risk aversion parameter. The model predicts that the …

, for the first time, in effect socialised the credit risk of the bank. It is now a fully state-owned bank... …