Building of F-Score-Like Models on the Example of the Polish Stock Market

Theoretical background: Value investing is one of the most popular investing approaches. In their frame, there could be a high B/M investing strategy identified. F-Score, developed by Piotroski, is a scoring model applied to the sample of high B/M entities. Its purpose is to select companies with st...

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Main Author: Bartłomiej Pilch
Format: Article
Language:English
Published: Maria Curie-Skłodowska University, Lublin, Poland 2023-05-01
Series:Annales Universitatis Mariae Curie-Skłodowska Sectio H, Oeconomia
Subjects:
Online Access:https://journals.umcs.pl/h/article/view/14885
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author Bartłomiej Pilch
author_facet Bartłomiej Pilch
author_sort Bartłomiej Pilch
collection DOAJ
description Theoretical background: Value investing is one of the most popular investing approaches. In their frame, there could be a high B/M investing strategy identified. F-Score, developed by Piotroski, is a scoring model applied to the sample of high B/M entities. Its purpose is to select companies with strong financial foundations and buy their shares for the investment portfolio to generate positive market-adjusted returns in the following periods. The effectiveness of this model was mostly empirically confirmed, especially regarding developed markets. Purpose of the article: The main aim of the paper was to build F-Score-like models based on the data from the Polish stock market. The main hypothesis concerned the higher effectiveness of such models than F-Score, as the specificity of a given market should result in a better fit to the data. Research methods: Building of the models based on the discriminant analysis and formation of the investment portfolios based on the indications of these models as well as F-Score. Finally, backtesting of the portfolios built to assess their effectiveness. The sample covered most of the Polish-listed companies. The period taken into account was 2012–2022. Main findings: Models built (X-Score and Y-Score) were less efficient than F-Score. Moreover, they led to generating negative rates of return (both raw and market-adjusted). On the other hand, using of F-Score for the analyzed period seems to be purposeful due to the 1.35% mean annual market-adjusted return generated. Apart from the scoring models analyzed, the research partially confirmed the advisability of using a high B/M investing strategy. Generally, the results obtained are in line with the findings of most of other authors –regarding the F-Score effectiveness. However, an approach based on Mohanram’s idea – using the differences between absolute values of a given variable and median from the sample – proved to be inadequate in the Polish stock market.
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spelling doaj.art-b3c62a180efd4aeab68986d206a0aecf2023-08-01T14:25:12ZengMaria Curie-Skłodowska University, Lublin, PolandAnnales Universitatis Mariae Curie-Skłodowska Sectio H, Oeconomia0459-95862023-05-0157115518010.17951/h.2023.57.1.155-18010173Building of F-Score-Like Models on the Example of the Polish Stock MarketBartłomiej Pilch0Cracow University of EconomicsTheoretical background: Value investing is one of the most popular investing approaches. In their frame, there could be a high B/M investing strategy identified. F-Score, developed by Piotroski, is a scoring model applied to the sample of high B/M entities. Its purpose is to select companies with strong financial foundations and buy their shares for the investment portfolio to generate positive market-adjusted returns in the following periods. The effectiveness of this model was mostly empirically confirmed, especially regarding developed markets. Purpose of the article: The main aim of the paper was to build F-Score-like models based on the data from the Polish stock market. The main hypothesis concerned the higher effectiveness of such models than F-Score, as the specificity of a given market should result in a better fit to the data. Research methods: Building of the models based on the discriminant analysis and formation of the investment portfolios based on the indications of these models as well as F-Score. Finally, backtesting of the portfolios built to assess their effectiveness. The sample covered most of the Polish-listed companies. The period taken into account was 2012–2022. Main findings: Models built (X-Score and Y-Score) were less efficient than F-Score. Moreover, they led to generating negative rates of return (both raw and market-adjusted). On the other hand, using of F-Score for the analyzed period seems to be purposeful due to the 1.35% mean annual market-adjusted return generated. Apart from the scoring models analyzed, the research partially confirmed the advisability of using a high B/M investing strategy. Generally, the results obtained are in line with the findings of most of other authors –regarding the F-Score effectiveness. However, an approach based on Mohanram’s idea – using the differences between absolute values of a given variable and median from the sample – proved to be inadequate in the Polish stock market.https://journals.umcs.pl/h/article/view/14885f-scorebook-to-marketvalue investinginvestment portfolioscoring model
spellingShingle Bartłomiej Pilch
Building of F-Score-Like Models on the Example of the Polish Stock Market
Annales Universitatis Mariae Curie-Skłodowska Sectio H, Oeconomia
f-score
book-to-market
value investing
investment portfolio
scoring model
title Building of F-Score-Like Models on the Example of the Polish Stock Market
title_full Building of F-Score-Like Models on the Example of the Polish Stock Market
title_fullStr Building of F-Score-Like Models on the Example of the Polish Stock Market
title_full_unstemmed Building of F-Score-Like Models on the Example of the Polish Stock Market
title_short Building of F-Score-Like Models on the Example of the Polish Stock Market
title_sort building of f score like models on the example of the polish stock market
topic f-score
book-to-market
value investing
investment portfolio
scoring model
url https://journals.umcs.pl/h/article/view/14885
work_keys_str_mv AT bartłomiejpilch buildingoffscorelikemodelsontheexampleofthepolishstockmarket