The paper lists salient characteristics of the certainty theory of consumer choice and discusses the import of prominent empirical analyses of the theory. All of them reject the theory's empirical relevance which suggests that the theory is unfit to analyze consumer choice in an uncertain world....

This volume was prepared by Susanne Link during her stay at the Ludwig-Maximilians-University of Munich and the Department of Human Capital and Innovation of the Ifo Institute of Economic Research. It was accepted as a doctoral thesis by the Economics Departure of the University of Munich in...

This volume was prepared by Susanne Link during her stay at the Ludwig-Maximilians-University of Munich and the Department of Human Capital and Innovation of the Ifo Institute of Economic Research. It was accepted as a doctoral thesis by the Economics Departure of the University of Munich in...

It is the objective of this paper to quantify the significance of fundamental factors (like rising fuel costs) and of the increasing exercise of market power on rising prices in the German wholesale electricity market. A successive MIP/LP approach was used for this. The calculations show that,...

In this study, we present a combinatory chaos analysis of daily wavelet-filtered (denoised) S&P 500 returns (2000–2020) compared with respective surrogate datasets, Brownian motion returns and a Lorenz system realisation. We show that the dynamics of the S&P 500 return series consist of an...

This paper deals with estimating peaked densities over the interval [0,1] using two-sided power distribution (Kotz, van Dorp, 2004). Such data were encountered in experiments determining certainty equivalents of lotteries (Kontek, 2010). This paper summarizes the basic properties of the...

We propose a non-standard sub-sampling procedure to make formal statistical inference about the business cycle, one of the most important unobserved feature characterizing fluctuations of economic growth. We show that some characteristics of business cycle can be modeled in a non-parametric way...

Pre-averaging is a popular strategy for mitigating microstructure in high frequency financial data. As the term suggests, transaction or quote data are averaged over short time periods ranging from 30 seconds to five minutes, and the resulting averages approximate the efficient price process...

We propose a non-structural method to retrieve the risk-neutral density (RND) impliedby options on the CBOE Volatility Index (VIX). The methodology is based on orthogonalpolynomial expansions around a kernel density and yields the RND of the underlyingasset without the need for a parametric...

A time-series basis decomposition and trend extraction technique known as Empirical Mode Decomposition (EMD), designed for multi-scale time-frequency decomposition in non-stationary time-series settings, will be combined with Regularised Covariance Regression (RCR) methods to produce a framework...