Data Envelopment Analysis (DEA) is a non-parametric method for measuring the relative efficiency of a set of Decision Making Units (DMUs) using multiple precise inputs to produce multiple precise outputs. Several extensions to DEA have been made for the case of imprecise data, as well as to...

Corporate name changes are relatively common events, with some evidence suggesting that name changes are strategic in nature. Although prior research has examined the effect of name changes on the firm, these studies have focused primarily on the stock price reaction to name changes. Such a...

Principal Component Analysis (PCA) is very sensitive in presence of outliers. One of the most appealing robust methods for principal component analysis uses the Projection-Pursuit principle. Here, one projects the data on a lower-dimensional space such that a robust measure of variance of the...

In this empirical study, I investigate whether emerging market stock prices can deviate from their fundamental values. Because standard tests are subject to size distortion, a new robust test due to Taylor and Peel (1998) is used here to test periodically collapsing emerging market stock price...

In the field of the Design and Analysis of Computer Experiments (DACE) meta-models are used to approximate time-consuming simulations. These simulations often contain simulation-model errors in the output variables. In the construction of meta-models, these errors are often ignored....

Recently there has been a rapid growth in the assets managed by "hedged mutual funds" - mutual funds mimicking hedge funds strategies. In this paper, we examine the performance of these funds relative to hedge funds and traditional mutual funds. We find that despite their use of similar trading...

We introduce robust regression-based online filters for multivariate time series and discuss their performance in real time signal extraction settings. We focus on methods that can deal with time series exhibiting patterns such as trends, level changes, outliers and a high level of noise as well...

In the ideal Black-Scholes world, financial time series are assumed 1) stationary (time homogeneous) and 2) having conditionally normal distribution given the past. These two assumptions have been widely-used in many methods such as the RiskMetrics, one risk management method considered as...