Though information-theoretic approaches still play only a minor role in nancial marketanalysis, there have been two recent approaches developing independently one in econo-physics and the other in econometrics. Both approaches generalize the notion of eitherARCH or GARCH models.The econometric...

In this note we present a simple method to include the no-arbitrage condition into thederivation of conditional densities using the principle of maximum entropy. For the case ofidentically and independently distributed returns, we easily derive that the whole processestimated that way is...

Generalized autoregressive conditional heteroskedasticity (GARCH) processes have become very popular as models for financial return data because they are able to capture volatility clustering as well as leptokurtic unconditional distributions which result from the assumption of conditionally...

This paper first establishes a selection of stylized facts for high-frequency cointegration processes in the European equity market. Empirical evidence is given by one minute-binned transaction data of all DAX 30 constituents as traded on Deutsche Börse's Xetra market in 2014. A methodology is...

The adjusted measure of realized volatility suggested in [20] is applied to high- frequency orderbook and transaction data of DAX and BUND futures from EU- REX in order to identify the drivers of intraday volatility. Four components are identified to have predictive power: an auto-regressive...

This paper provides empirical evidence that jumps in the underlying stock price process are superfluous for European option pricing in time changed L évy models. We introduce a model with a.s. continuous sample paths and a parsimonious description in terms of free parameters. The conducted in-...