In the present paper we examine whether financial markets could have helped predict exchange rates in three selected Central and Eastern European (CEE) economies of the EU, namely the Czech Republic, Hungary and Poland, during the current financial crisis. To this end, we derive risk-neutral...

In the present paper we examine whether financial markets could have helped predict exchange rates in three selected Central and Eastern European (CEE) economies of the EU, namely the Czech Republic, Hungary and Poland, during the current financial crisis. To this end, we derive risk-neutral...

We introduce a new measure of activity of financial markets that provides a direct access to their level of endogeneity. This measure quantifies how much of price changes are due to endogenous feedback processes, as opposed to exogenous news. For this, we calibrate the self-excited conditional...

Investors utility has been mathematically modeled at 1738 by Daniel Bernoulli as an attempt to capture investors preferences to lottery outcomes. Ever since the analysis of decision making under uncertainty has again become a major focus of interest. Kahneman and Tversky in 1979 suggested a more...

As a natural extension to León and Vivas (2010) and León and Reveiz (2010) this paper briefly describes the Cholesky method for simulating Geometric Brownian Motion processes with long term dependence, also referred as Fractional Geometric Brownian Motion (FBM). Results show that this method...

In 2008, the S&P500 aggregated a loss of 30.16% during three selected days. Unfortunately, benchmark risk measures didn't forecast these hazards. Consequently, we witness a growing interest in coherent risk measures, sensitive to high moments and heavy tail risk. Such measures were proposed by...

For a comprehensive set of 21 equity premium predictors we find dramatic disagreement between out-of-sample predictability results depending on the choice of the sample split date. To resolve this issue we propose reporting in graphical form the out-of-sample predictability criteria for every...

Numerous studies have analyzed the movements of the S&P 500 Index using several methodologies such as technical analysis, econometric modeling, time series techniques and theories from behavioral finance. In this paper we take a novel approach. We use daily closing prices for the S&P 500 Index...

We propose a predictor of market bubbles, crashes and corrections that is based on the relationship between the following two ratios: (Market value of the firm compared to its intrinsic value, MV/IV) and the (return on capital of the firm versus its cost of capital, R/C*). We apply the model to...

Standard approaches to the theory of financial markets are based on equilibrium and efficiency. Here we develop an alternative based on concepts and methods developed by biologists, in which the wealth invested in a financial strategy is like the population of a species. We study a toy model of...