This article aims to extend evaluation of the classic multifactor model of Carhart (1997) for the case of global equity indices and to expand analysis performed in Sakowski et. al. (2015). Our intention is to test several modifications of these models to take into account different dynamics of...

We investigate whether alternative asset classes should be included in optimal portfolios of the most prominent investor personae in the Behavioral Finance literature, namely, the Cumulative Prospect Theory, the Markowitz and the Loss Averse types of investors. We develop a stochastic spanning...

We revisit the apparent historical success of technical trading rules on daily prices of the DJIA index from 1897 to 2011, and use the False Discovery Rate as a new approach to data snooping. The advantage of the FDR over existing methods is that it selects more outperforming rules which allows...

The probability distribution of log-returns of financial time series, sampled at high frequency, is the basis for any further developments in quantitative finance. In this letter, we present experimental results based on a large set of time series on futures. Then, we show that the...

Factorial moments are convenient tools in particle physics to characterize the multiplicity distributions when phase-space resolution (Delta) becomes small. They include all correlations within the system of particles and represent integral characteristics of any correlation between these...

Factorial moments are convenient tools in nuclear physics to characterize the multiplicity distributions when phase-space resolution (Delta) becomes small. For uncorrelated particle production within Delta, Gaussian statistics holds and factorial moments Fq are equal to unity for all orders q....

The probability distribution of log-returns for financial time series, sampled at high frequency, is the basis for any further developments in quantitative finance. In this letter, we present experimental results based on a large set of time series on futures. We show that the t-distribution...

For the pedestrian observer, financial markets look completely random with erratic and uncontrollable behavior. To a large extend, this is correct. At first approximation the difference between real price changes and the random walk model is too small to be detected using traditional time series...

Valuation-based market timing demonstrates greater potential to improve risk-adjusted returns for conservative long-term investors than given credit by Fisher and Statman (2006). On a risk-adjusted basis, market-timing strategies provide comparable returns as a 100 percent stocks buy-and-hold...