We study the robustness of block resampling procedures for time series. We first derive a setof formulas to quantify their quantile breakdown point. For the block bootstrap and the sub-sampling, we find a very low quantile breakdown point. A similar robustness problem arisesin relation to...

We develop an econometric methodology to infer the path of risk premia from large unbalancedpanel of individual stock returns. We estimate the time-varying risk premia implied by conditional linearasset pricing models where the conditioning includes instruments common to all assets and asset...

We derive nonparametric tests of symmetry using asymmetric kernels with either shrinkingor fixed bandwidths. We show how to extend the approach to examine conditional symmetry byderiving conditions under which our tests are applicable to residuals from semiparametric modelswith a (sufficiently...

We propose a technique to avoid spurious detections of jumps in highfrequencydata via an explicit thresholding on available test statistics. Weprove that it eliminates asymptotically all spurious detections. MonteCarlo results show that it performs also well in finite samples. In DowJones...

We study the influence of systematic probability misestimation on complexfinancial investment decisions on the context of structured financialproducts. Structured products have in recent years become more and morecomplex. We study the question whether this complexity might be a...

Evolutionary nance studies the dynamic interaction of investment strategies in nancialmarkets. This market interaction generates a stochastic wealth dynamics on aheterogenous population of traders through the uctuation of asset prices and theirrandom payos. Asset prices are endogenously...