Since the global financial crisis, the Swiss National Bank has been accumulating reserve assets amounting to the size of the Swiss GDP. Yet, the Swiss franc is still considered to be significantly over-valued. This paper analyzes the drivers behind the new situation and discusses challenges and...

In this paper, we consider an alternative perspective to China's exchange rate policy. We study a semi-open economy where the private sector has no access to international capital markets but the central bank has full access. Moreover, we assume limited financial development generating a large...

The assessment of models of financial market behavior requires evaluation tools. When complexity hinders a direct estimation approach, e.g., for agent based microsimulation models or complex multifractal models, simulation based estimators might provide an alternative. In order to apply such...

We re-examine the relationship between exchange rate movements and firm value. We estimate the exchange rate exposure of publicly listed U.S. firms clustered into eleven industries. Using a panel approach, we uncover statistically significant and sizable unconditional exposure. We also examine...

A non-Gaussian multivariate regime switching dynamic correlation model for fi nancial asset returns is proposed. It incorporates the multivariate generalized hyperbolic law for the conditional distribution of returns. All model parameters are estimated consistently using a new two-stage...

This research starts from the observation that common desmoothing models are likely to generate some extreme returns. Such returns will distort risk measurement and hence can lead to investment decisions that are suboptimal relative to those that would be made if a transaction based index were...

Covariance matrix forecasts for portfolio optimization have to balance sensitivity to new data points with stability in order to avoid excessive rebalancing. To achieve this, a new robust orthogonal GARCH model for a multivariate set of non-Gaussian asset returns is proposed. The conditional...

The present article deals with intra-horizon risk in models with jumps. Our general understanding of intra-horizon risk is along the lines of the approach taken in [BRSW04], [Ro08], [BMK09], [BP10], and [LV19]. In particular, we believe that quantifying market risk by strictly relying on...

We develop a new method that detects jumps nonparametrically in financial time series and significantly outperforms the current benchmark on simulated data. We use a long short- term memory (LSTM) neural network that is trained on labelled data generated by a process that experiences both jumps...

The present article studies geometric step options in exponential Lévy markets. Our contribution is manifold and extends several aspects of the geometric step option pricing literature. First, we provide symmetry and parity relations and derive various characterizations for both European-type...