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Three-factor market-timing models with Fama and French’s spread variables

100%
OLBRYŚ J.
Operations Research and Decisions
|
2010
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vol. 20
|
issue 2
91-106
EN
The traditional performance measurement literature has attempted to distinguish security selection, or stock-picking ability, from market-timing, or the ability to predict overall market returns. However, the literature finds that it is not easy to separate ability into such dichotomous categories. Some researchers have developed models that allow the decomposition of manager performance into market-timing and selectivity skills. The main goal of this paper is to present modified versions of classic market-timing models with Fama and French’s spread variables SMB and HML, in the case of Polish equity mutual funds.
2
Content available remote

Implications of market frictions: serial correlations in indexes on the emerging stock markets in Central and Eastern Europe

63%
OLBRYŚ J., MAJEWSKA E.
Operations Research and Decisions
|
2014
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vol. 24
|
issue 1
51-70
EN
Implications of market frictions in the context of serial correlations in indexes on the Central and Eastern European (CEE) stock markets have been analysed. Market frictions, such as non-trading effects, bid/ask spreads, other transaction costs, etc., may be detected by direct measurement, or by indirect identification. Direct measurement of frictions is difficult as intraday trading data are unavailable in the case of most of the emerging CEE stock markets. Indirect identification may be conducted by detecting some empirical phenomena. One of them is evidence of serial correlations in indexes, the so-called the Fisher effect. We explore the problem of serial correlations in indexes on the eight CEE stock markets using data samples from each CEE market separately, as well as a “common trading window” approach, which is widely applied in the case of databases with multivariate time series. The evidence is that nonsynchronous trading effect II between markets may substantially disrupt the analysis of index returns on a domestic market. Using a synchronized database, one may erroneously conclude that the Fisher effect does not exist, although it is present.
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