Financial Assets and Investing

Empirical Test of Fama and French Three-Factor Model in the Egyptian Stock Exchange

Mustafa Hussein Abd-Alla, Mahmoud Sobh — Thu, 31 Dec 2020 00:00:00 +0100

We test the empirical validity of the three-factor model of Fama and French in the Egyptian Stock Exchange (EGX) using monthly excess stock returns of 50 stocks listed on the EGX from January 2014 to December 2018. Our findings do not support Fama and French three-factor model, where the coefficient of the beta was insignificant. The “SBM” coefficient and the “HML” coefficient were equal to zero and insignificant, which confirms the absence of the small firm effect and book-to-market ratio effect in the market. We conclude that there is no relation between expected return and Fama-French risk factors.

The Impact of Herding on the Risk Pricing in the Egyptian Stock Exchange

Mustafa Hussein Abd-Alla, Mahmoud Sobh — Thu, 31 Dec 2020 00:00:00 +0100

We test the impact of herding behaviour on the risk pricing in the Egyptian Stock Exchange (EGX) by adding an additional risk factor reflecting herding behaviour to the Fama and French three-factor model. We construct a portfolio to mimic an additional risk factor related to herding behaviour, in addition to the original risk factors in the Fama and French three-factor model. The three-factor model will be tested in its original form and re-tested after adding the herding behaviour factor. The study is based on Hwang and Salmon methodology, in which the state space approach based on Kaman’s filter was used to measure herding behaviour. We used monthly excess stock returns of 50 stocks listed on the EGX from January 2014 to December 2018. The results do not support Fama and French model before and after adding the herding behaviour factor, therefore, there is no effect of herding behaviour on the risk pricing in the Egyptian Stock Exchange.

Commonalities in Returns in the Stock Markets of the Visegrad Group: A Quantile Coherency Approach

Blanka Łęt — Thu, 31 Dec 2020 00:00:00 +0100

The aim of this paper is to investigate the dependence structure in the frequency domain for the joint distribution of returns from the stock markets in the countries belonging to the V4 countries. We analyze twenty-years of historical daily prices of four main stock indices from the Czech Republic, Hungary, Poland, and Slovakia. Using a quantile coherency measure we found, that linkages between Czech, Hungarian, and Polish stock markets are significantly positive for all considered quantiles and frequencies. These three markets are more strongly dependent during the long downturns and the effect is permanent after the European Union accession. The Slovak stock market is the least connected with other countries in the group. Results of the paper revealed, that Czech, Hungarian and Polish stock market is subject to similar trends in terms of returns for different investment horizons. International market participants should incorporate interdependencies between these markets during the portfolio building process.

In Search of the Optimal Saving Strategy for Pan-European Pension Products

Ján Šebo, Daniela Danková, Ivan Králik — Thu, 31 Dec 2020 00:00:00 +0100

The introduction of pan-European pension products in 2020 is associated with an ongoing debate on prescribing predefined saving strategy that would both deliver adequate performance and limit the down-side risk at the end of the saving horizon. Dynamic life-cycle saving strategies are generally accepted as a good risk-mitigation tool that can be individually set. Many research papers confirm the ability of life-cycle strategies to deliver high risk-reward outcomes. Objective of our paper is to test the ability of one-factor life-cycle saving strategies based on the age and/or the remaining saving horizon to deliver the promised value for PEPP savers. We constructed 18 saving strategies divided into three groups – static saving strategies with fixed proportion of equities, dynamic life-cycle strategies based on the age and/or remaining saving horizon, and quasi-active strategies combining two factors – the remaining saving horizon and price movement. We employed the model based on moving-block bootstrapping technique and performed simulations for various economic conditions. We have tested the expected saving performance combined with the down-side risk during the saving horizon. Our findings do not confirm the general findings on life-cycle saving strategies. We claim that having the age as the only factor defining the proportion of equities in the pension saving portfolio would not be optimal. However, we found that two-factor saving strategies look promising in delivering both lower down-side risk and higher performance over the saving horizon.