Selected Approaches for Testing Asset Pricing Models Using Polish Stock Market Data

Streszczenie. The main objective of this paper is to discuss alternative methods for testing the Fama-French (FF) three-factor asset pricing model. The properties of the selected methods are compared through a simulation study. The main stress is put on the behaviour of the selected methods for small samples. The parameters used in the simulation study are obtained on the basis of real data coming from the Polish stock market (Warsaw Stock Exchange). Different sample characteristics such as homoscedasticity, conditional heteroscedasticity and autocorrelation as well as heteroscedasticity are tested

CAPM applications for appropriate stock pricing – impact of speculation companies

Research on the pricing of stocks listed on the Polish market shows a contradiction with the classic CAPM. The results of these studies are consistent with the results carried out on other developed markets. The reasons for inconsistent pricing are not known; this is the main objective of thiswork. It is a continuation of the authors’ previous work on the impact of speculation and penny stocks on the pricing in light of the ICAPM. Despite the scientific justifications for pricing in light of the ICAPM, a common estimate of the capital cost for companies is still performed on the basisof the classic CAPM. It has been conjectured that speculative stocks contribute to incompatible pricing in light of the CAPM. The elimination of speculative stocks would allow for the proper estimate of the cost of capital without the need of complicated and laborious ICAPM applications. The research is conducted on the basis of stocks listed on the Warsaw Stock Exchange from 1995through 2012. The tested period is divided into two separate sub-periods: 1995–2005 (the years preceding Poland’s accession to the EU) and 2005–12 (the years of Poland’s membership in the EU). The analyzed stocks are grouped into quintile portfolios according to two variants. Thepricing tests are carried out in three modes. In Mode, 1 all listed stocks are analyzed. In Modes 2 and 3, speculative stocks are excluded from the study. The research results prove the validity of the adopted conjectures

Selected approaches for testing asset pricing models using Polish stock market data

The main objective of this paper was to discuss alternative methods for testing the Fama-French (FF) three-factor asset pricing model. The properties of the selected methods were compared in a simulation study. The main stress was put on the behavior of the selected methods for small samples. The parameters used in the simulation study were obtained based on real data coming from the Polish stock market (Warsaw Stock Exchange). Different sample characteristics such as homoscedasticity, conditional heteroscedasticity and autocorrelation as well as heteroscedasticity of the model were tested

MULTI-OBJECTIVE OPTIMIZATION MODEL FOR A MULTI-DEPOT MIXED FLEET ELECTRIC VEHICLE SCHEDULING PROBLEM WITH REAL-WORLD CONSTRAINTS

This paper presents the problem of public transport planning in terms of the optimal use of the available fleet of vehicles and reductions in operational costs and environmental impact. The research takes into account the large fleet of vehicles of various types that are typically found in large cities, including the increasingly widely used electric buses, many depots, and numerous limitations of urban public transport. The mathematical multi-criteria mathematical model formulated in this work considers many important criteria, including technical, economic, and environmental criteria. The preliminary results of the Mixed Integer Linear Programming solver for the proposed model on both theoretical data and real data from urban public transport show the possibility of the practical application of this solver to the transport problems of medium-sized cities with up to two depots, a heterogeneous fleet of vehicles, and up to about 1500 daily timetable trips. Further research directions have been formulated with regard to larger transport systems and new dedicated heuristic algorithms

Model CAPM oraz model FAMY i FRENCHA na warszawskiej giełdzie papierów wartościowych

The main objective of this paper is to verify the performance of the Fama-French model for the Polish market. The estimates for individual stock returns are obtained using the monthly data from the Warsaw Stock Exchange for the period December 2002 to January 2010. The Generalized Method of Moments is used to test hypotheses that lead to the validation of the Fama-French model. We find that the cross-sectional mean returns are explained by exposures to the three factors, and not by the market factor alone. These results are consistent with previous studies of developed markets.Tematem prezentowanej pracy jest weryfikacja trójczynnikowego modelu Famy Frencza dla danych z Warszawskiej Giełdy Papierów Wartościowych. Okres badania obejmuje lata 2002-2010. Do estymacji nieznanych parametrów modelu zastosowano uogólnioną metodę momentów (GMM), Przyjęto założenie istnienia heteroskedastyczności i autokorelacji szeregów czasowych biorących udział w badaniu. Ponadto dopuszczono możliwość istnienia korelacji czynników objaśniających z błędami losowymi występującymi w modelu regresji. Uzyskane wyniki potwierdziły tezę, że trójczynnikowy model Famy Frencza zadowalająco opisuje zmiany stóp zwrotu na rynku polskim w badanym okresie. Wynik tego badania należy jednak traktować jako wstęp do bardziej wnikliwych analiz