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...

Ethical investments have become increasingly popular over the past years. Ethical funds restrict their investment based on environmental, social and/or ethical criteria. Prior research on the performance of ethical versus non-ethical funds yields mixed results. This paper investigates the...

This proposal argues in favor of commodity price stabilization via international commodity buffer stocks and the tying of these stocks to the creation of a new international reserve currency. Financing commodity buffer stocks through the issuance of an international reserve makes commodity price...

The capital-asset-pricing model (CAPM) is one of the most popular methods of financial market analysis. But, evidence of the poor empirical performance of the CAPM has accumulated in the literature. For example, based on their empirical results regarding the relation between market Beta and...

In this paper, I analyze the impact of the extension of the ECB s collateral framework on securities sales. In addition, I evaluate the impact of different macroeconomic and bank-specific characteristics on banks selling behavior. At this, I distinguish between healthy banks and banks rescued...

We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular emphasis of this paper is on assessing the performance of long memory time series models in comparison to their short-memory counterparts. Since long memory models should have a...

We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular emphasis of this paper is on assessing the performance of long memory time series models in comparison to their short-memory counterparts. Since long memory models should have a...

We consider the problem of ex-ante forecasting conditional correlation patterns using ultra high frequency data. Flexible semiparametric predictors referring to the class of dynamic panel and dynamic factor models are adopted for daily forecasts. The parsimonious set up of our approach allows to...