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Does financial information transparency and objectivity matter for stock market development? A panel regression analysis for the selected European countries

100%
Lazarov D., Lakovic T., Miteva-Kacarski E.
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu
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2017
|
issue 482
121-129
EN
The paper investigates whether financial transparency and objectivity matter for stock market development. We test this hypothesis by using a sample of 38 selected European economies for the period 2006-2014 by applying dynamic panel regression analysis (Generalized Method of Moments). The strength of auditing and reporting standards (SARS) is used as the approximated variable for measuring the financial transparency and objectivity, while the stock market capitalization relative to GDP is a commonly used variable for stock market development. The estimated results indicate that financial information quality has a positive and significant impact on stock market development after controlling for the standard macroeconomic and financial specific stock market determinants, suggesting that financial reporting quality is one of the most important determinants of stock market development. The effects of financial reporting and auditing standards to stock market development are much more significant in the case of the non-EU countries.
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The impact of exchange rate volatility on the Nigerian economic growth: An empirical investigation

88%
Ehikioya B. I.
Journal of Economics and Management
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2019
|
vol. 37
s. 45-68
EN
Aim/purpose – Exchange rate volatility has remained a serious issue affecting economic stability, especially in developing countries. Thus, this study aimed at examining the impact of exchange rate volatility on economic growth in Nigeria. Design/methodology/approach – The study employed the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model and the system Generalized Method of Moments (GMM) technique to analyse the time series data from the period January 1980 to December 2017. The study used the Augmented Dickey–Fuller and Philips–Perron tests to determine the presence of a unit root and the Johansen co-integration test to establish the relationship among the variables in the study. Findings – The results of the estimates offer evidence that exchange rate volatility persists throughout the study period, and has a negative and significant effect on the economic growth of Nigeria. This result suggests that excessive volatility due to low inflows is inimical to the growth of the Nigeria economy. The findings of the study demonstrate a negative and significant relationship between inflation and economic growth. Moreover, while credit to the private sector and crude oil prices exerts positive and significant relationship with growth, the relationship between money supply, trade openness and government expenditure and economic growth is positive but insignificant. Research implications/limitations – Therefore, it is important for the government to pursue policies and programs that would help ensure exchange rate stability and boost local production for both consumption and export. In addition, a holistic program of economic reforms is important to complement the exchange rate policy and stimulate economic growth. Originality/value/contribution – The study shed some light on exchange rate volatility and confirmed its adverse effect and the importance of a stable environment on economic growth. In addition, the study introduced crude oil prices as a variable to the study of exchange rate volatility and economic growth from a developing country perspective.
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The CAPM and Fama-French Models in Poland

75%
Czapkiewicz A., Skalna I.
Przegląd Statystyczny
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2010
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vol. 57
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issue 4
128-141
PL
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.
EN
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.
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