With the recent availability of high-frequency nancial data the longrange dependence of volatility regained researchers' interest and has leadto the consideration of long memory models for realized volatility. Thelong range diagnosis of volatility, however, is usually stated for long...

This study examines the lead-lag-relationship between European equity and CDSmarkets in the context of the financial crisis. Previous research identified the stock market tolead the CDS market in an ordinary economic environment. Against the background of ourstudy this lead-lag-relationship...

This paper deals with the modeling of the relationship of European Union Al-lowance spot- and futures-prices within the second commitment period of the Eu-ropean Union Emission Trading Scheme. Based on high frequency data, we analyzecausality in the ¯rst and the second conditional moments. To...

In this paper we develop the rst estimator of the covariance matrix that relies solely onforward-looking information. This estimator only uses price information from a cross-sectionof plain-vanilla options. In an out-of-sample study for US blue-chip stocks we show that aminimum-variance strategy...

Analysts providing more accurate earnings forecasts also issue moreprofitable recommendations. We demonstrate how investors can profit fromthis contemporaneous link by differentiating between “able” and “lucky”analysts. In line with previous studies, we find that past track records...

Starting with the liberalization of electricity trading, this market grew rapidly overthe last decade. However, while spot and future markets are rather liquid nowadays,option trading is still limited. One of the potential reasons for this is that the spotprice process of electricity is still...

This paper studies the effects of investors’ heterogeneous beliefs on the trading volume,price volatility, and liquidity of stocks. Following Kurz and Motolese (2008), wepropose a simple theoretical model to show that the equilibrium stock price is linearlyand positively correlated with market...

This paper introduces bond market order flow as a predictor variable in term structuremodels and provides evidence that order flow has forecasting ability over and above thatof forward rates. Both in-sample and out-of-sample forecasts show that models includ-ing interdealer order flow outperform...

This paper proposes a novel approach to the combination of conditional covariancematrix forecasts based on the use of the Generalized Method of Moments (GMM). Itis shown how the procedure can be generalized to deal with large dimensional systemsby means of a two-step strategy. The finite sample...

This paper presents a new method to detect informed trading activities in the options markets.An option trade is identified as informed when it is characterized by an unusual largeincrement in open interest and volume, induces large gains, and is not hedged in the stock market.For the period...