Clemens Pirker addresses the frequent doubt among researchers on how to deal with extreme and outlying observations in data analysis. He draws on various scientific domains to explore possible handling alternatives and the relevance of the phenomenon. In the empirical section, a published...

Grundlagen der Optionspreistheorie -- Extrahierung der risikoneutralen Wahrscheinlichkeitsdichtefunktion -- Anwendungsgebiete risikoneutraler Wahrscheinlichkeitsdichtefunktionen -- Empirische Untersuchungen -- Zusammenfassung und Schlussfolgerungen.

In this chapter, I will examine the problems created by incorrectly using a simple sum monetary aggregate (SSUM) to measure the monetary stock. Specifically, I will show that SSUM confounds the current stock of money (CSM) with the investment stock of money (ISM) and that this confounding leads...

Revealed preference axioms provide a simple way of testing data from consumers or firms for consistency with optimizing behavior. The resulting non-parametric tests are very attractive, since they do not require any ad hoc functional form assumptions. A weakness of such tests, however, is that...

In this chapter the author studies the capital market efficiency hypothesis and checks whether the stock price adjustment dynamics is instantaneous, continuous, and linear or not. In particular, the author proposes to analyze the stock price evolution while taking into account the presence of...

We study the effect of errors-in-variables [EV] on cointegration tests and cointegrating regressions. It turns out that the rate of convergence of static ordinary least squares [OLS] estimators is not affected by EV, whereas the limiting distribution does change. However, procedures accounting...

The problem of measurement errors in the national accounts has been recognized for a long time. The error chiefly arises from various source data and the timing of the flow of data received from providers. This chapter first discusses the type of measurement errors confronted by statistical...

Without short-sales constraints, mean-variance (MV) and power-utility portfolios generated from historical data are often characterized by extreme expected returns, standard deviations, and weights. The result is usually attributed to estimation error. I argue that modeling error, that is,...