The paper suggests a nonlinear and multivariate time series model framework that enables the study of simultaneity in returns and in volatilities, as well as asymmetric effects arising from shocks and an outside stock exchange. Using daily data 2000-2006 for the Baltic state stock exchanges and...

This paper empirically tests whether an open limit order book contains information about future short-run stock price movements. To account for the discrete nature of price changes, the integer-valued autoregressive model of order one is utilized. A model transformation has an advantage over...

The asymmetric moving average model (asMA) is extended to allow for asymmetric quadratic conditional heteroskedasticity (asQGARCH). The asymmetric parametrization of the conditional variance encompasses the quadratic GARCH model of Sentana (1995). We introduce a framework for testing asymmetries...

Conditional heteroskedasticity properties are derived for some common count data regression and time series models. New extensions are suggested and discussed.

The paper advances the log-generalized gamma distribution as a suitable generator of conditional skewness. Based on the NYSE composite daily returns an asMA-asQGARCH model along with skewness dynamics is estimated. The results indicate a skewness that varies between sizeable negative skewness...

We present a framework for the analysis of tax and benefit policy in countries with significant informality. Our framework allows us to jointly analyse the effects of various taxes and benefits on incentives for firms and workers to be informal and evade taxation. We find that payroll taxes and...

The publication of the Thun Group’s discussion paper The Guiding Principles on Business and Human Rights: An Interpretation for Banks represented a critical step on the way to delineate the relationship between the financial sector and human rights: the document lays the foundations for the...