Relevant bibliographies by topics / Piotroski F-Score

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Academic literature on the topic 'Piotroski F-Score'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Piotroski F-Score"

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Sandiffu’ad, Ahmad, and Safwira Guna Putra. "ANALISIS PIOTROSKI F-SCORE PADA SAHAM JAKARTA ISLAMIC INDEX 70 PERIODE TAHUN 2019-2021." Jurnal Perbankan Syariah 1, no. 2 (2022): 54–69. http://dx.doi.org/10.20414/jps.v1i2.6268.

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In investing, one of the analyzes that must be carried out by investors is to carry out fundamental analysis. One method that can be used to view company performance, especially the information contained in financial reports, is the Piotroski F-Score. This study relies on secondary data in the form of published company financial reports, then analyzed using a quantitative approach to measure the financial performance of each company. Data analysis was carried out by calculating the nine Piotroski F-Score assessment variables, then giving a score to each of these criteria. The sampling techniqu
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Chu-Hsiung Lin, Chu-Hsiung Lin, Chang-Chang Chen Chu-Hsiung Lin, Tzu-Chuang Kao Chang-Chang Chen, and Mao-Chun Hsiao Tzu-Chuang Kao. "Revise the value investing strategy of F-score." 青年企業管理評論 14, no. 1 (2021): 045–61. http://dx.doi.org/10.53106/207308882021101401003.

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<p>Piotroski (2000) selects samples that with lower book-to-market ratio and higher F-score to form value investing portfolio. This study modifies his procedure by two ways and use Taiwan data from 2001 to 2020 to test the performance. First, we select samples with high and increasing F-score. The annualized return is found to be 26.78% that is about 4.6% higher than the performance of Piotroski (2000). Second, we add addition indicators (P/E, momentum, and firm size) as third indicator, we show an annualized return of 29.16%. Such modification improves the efficiency of value investing.
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R A Emmy Kurniati and Khairunnisa. "ANALISIS PIOTROSKI F-SCORE PADA PERUSAHAAN SEKTOR AGRICULTURAL PRODUCTS." Jemasi: Jurnal Ekonomi Manajemen dan Akuntansi 20, no. 2 (2024): 170–80. https://doi.org/10.35449/jemasi.v20i2.832.

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Penelitian ini bertujuan untuk menganalisis Piotroski F-Score pada perusahaan dengan bidang agricultural products. Pengukuran Piotroski F-Score menggunakan 9 indikator, pengukuran pada penelitian ini berdasarkan data keuangan 22 perusahaan yang menghasilkan produk plantations and crops. Data keuangan perusahaan yang dianalisis adalah berdasarkan data laporan tahunan periode 2023. Penelitian ini menggunakan metode studi kepustakaan dengan pendekatan keuangan. Data diperoleh dari jurnal-jurnal, data keuangan dari perusahaan-perusahaan, dan sumber informasi relevan lainnya. Data keuangan yang dip
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Rangapriya, S., and J. Meenakumari. "Using Piotroski F-Score for Assessing Financial Health: Evidence from Leading Indian Private Banks." Shanlax International Journal of Management 8, S1-Feb (2021): 117–32. http://dx.doi.org/10.34293/management.v8is1-feb.3765.

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This research investigates the efficacy of Piotroski F-score to screen firms with good financial health and to identify early signs of financial distress in Indian banking stocks. This study complements existing empirical evidence which indicate that the venerable model can provide valuable insight for investment decision making and risk management.The evidence is drawn from valuation signals across leading private banks in India for a period ranging from 2014-2020. Piotroski F-score evaluates companies with a discrete number between zero and nine, the score facilitates determination of financ
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Mochamad Anas Aditia and Lasmanah. "Analisis Penggunaan Metode Piotroski F-Score dalam Pembentukan Portofolio Optimal pada Saham Idx 30 yang Terdaftar pada Bursa Efek Indonesia Tahun 2022." Bandung Conference Series: Business and Management 4, no. 1 (2024): 765–74. http://dx.doi.org/10.29313/bcsbm.v4i1.11930.

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Abstract. This research focuses on the application of the Piotroski F-Score method in constructing an optimal portfolio of recommended stocks for investment. Using financial data from stocks listed in the IDX 30 index in the year 2022, this study aims to identify stocks that exhibit strong fundamental quality based on the nine accounting criteria proposed by Piotroski. This method aids in overcoming challenges in stock selection amid complex information by assigning a numerical score to each stock. These scores reflect the financial health and performance of the companies, enabling investors t
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Yücedağ Erdinç, Nilüfer. "Performance Analysis of Agriculture, Livestock and Hunting Sector Firms Using Piotroski F-Score Method." Black Sea Journal of Agriculture 8, no. 3 (2025): 9–10. https://doi.org/10.47115/bsagriculture.1654889.

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The agricultural sector is critical in providing nutrition, which is one of the basic needs of the world population. The financial performance of the industry, which has been affected by global climate changes in recent years and is sensitive to social, economic, and technological risks, is a point that should be emphasized for investors and countries in terms of sectoral development. This study will discuss the financial performance of agriculture, livestock and hunting sector firms traded in Borsa Istanbul (BIST) between 2020-2023 through the Piotroski F Score. Piotroski F Score calculations
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Mao, Yanghao, та Shanyue Jin. "최적화된 Piotroski F-Score 전략에 관한 연구 – 중국주식시장을 대상으로 –". Journal of China Area Studies 8, № 2 (2021): 81–102. http://dx.doi.org/10.34243/jcas.8.2.81.

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Lindananty, Lindananty. "PENGUJIAN MODEL PIOTROSKI F-SCORE YANG DIMODIFIKASI PADA GROWTH STOCK." Jurnal Manajemen Dirgantara 16, no. 1 (2023): 120–28. http://dx.doi.org/10.56521/manajemen-dirgantara.v16i1.910.

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Penelitian ini menguji pengaruh Piotroski f-score (FSCORE) yang dimodifikasi oleh Mohr (2012) terhadap return saham. Mohr (2012) menambahkan 5 variabel yaitu market value (MV), prie to book (P/B), momentum of month (MOM), akrual dengan proksi earnings-cashflow to assets (ACC), dan equity offering (EQOFFER). Hasil penelitian Mohr (2012) menunjukkan Piotroski f-score signifikan menambah kemampuan ulitilas regresi multivariat untuk menjelaskan market adjusted return. Mengikuti Mohr (2012) penelitian ini menguji model tersebut pada perusahaan yang terdaftar di Bursa Efek Indonesia. Sampel peneliti
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K.J, Sarvamangala, and Sudarsana Reddy G. "Piotroski F-Score: A Model for Assessing Financial Health." South India Journal of Social Sciences 23, no. 2 (2025): 35–40. https://doi.org/10.62656/sijss.v23i2.1814.

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Murti, Nugroho Wisnu, and Slamet Sugiri. "Potential Confusion Between Value Investing and Fundamental Analysis Explored Through Piotroski F-Score." Riset Akuntansi dan Keuangan Indonesia 9, no. 3 (2024): 287–98. https://doi.org/10.23917/reaksi.v9i3.6937.

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This article addresses the potential confusion between fundamental analysis (FA) and value investing (VI) in stock analysis, particularly highlighting the over-reliance on financial ratios that can obscure their distinctions. It examines the role of the f-score, developed by Piotroski (2000) as a VI indicator, which is frequently misinterpreted within the context of FA. By analyzing its utilization in academic literature, the study examines to clarify how the f-score should be understood as a value investing tool and contribute to a clearer framework distinguishing the two approaches, thereby
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Dissertations / Theses on the topic "Piotroski F-Score"

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Attwood, Michael Richard. "An application of the Piotroski F-Score to the South African market." Master's thesis, University of Cape Town, 2012. http://hdl.handle.net/11427/12070.

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Includes abstract.<br>Includes bibliographical references.<br>This paper examines whether application of the Piotroski F Score (Piotroski, 2000), to the South African market is feasible and whether or not the distribution of returns earned by an investor can be shifted upward through use of this investment screen.
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Sundén, Lina. "Piotroski leder vägen : En kvantitativ studie baserad på fundamental analys." Thesis, Karlstads universitet, Fakulteten för humaniora och samhällsvetenskap (from 2013), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-48850.

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Syftet med studien är att undersöka huruvida det är möjligt att generera högre avkastning genom fundamental analys med fokus på värdeinvestering och Joseph Piotroskis modell (2000) Fundamental Signal Score (F-SCORE). Modellen testas på den svenska aktiemarknaden under perioden 2007-2015. Genom att skapa 27 fiktiva portföljer, beräkna årlig avkastning och jämföra dem mot marknadsindexet SIXRX utvärderas modellens möjligheter att skapa marknadsjusterad avkastning på den svenska aktiemarknaden. Vidare undersöks modellens statistiska samband med avkastning samt kvoten mellan bokfört värde och mark
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Falk, Robin, and Björn Håkansson. "Piotroskis F-score : En Grundläggande modell för värdering av aktier." Thesis, Södertörns högskola, Institutionen för samhällsvetenskaper, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-19787.

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När man väljer att analysera företag, finns det flera olika värderingsmodeller att använda.En av dessa är Piotroskis F-score. Denna modell har mestadels tidigare använts för att analysera företag på den amerikanska marknaden. Nu vill författarna undersöka hur tillämpbar modellen är på den svenska aktiemarknaden och dessutom kombinera denna modell med en Magic Sixes värdering för att öka dess precision. Syftet med denna studie är att undersöka om F-score i samarbete med Magic Sixes kan generera överavkastning och överträffa den svenska aktiemarknaden. Författarna har genomfört en kvantitativ st
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Oyebode, Akinboye. "Application of the Altman Z-EM-Score and piotroski F-Score to the Johannesburg Securities Exchange as short selling instrument." Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/59746.

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This research investigated the effectiveness of the Altman Z-EM-Score and the Piotroski F-Score as tools that can be used to identify stocks on the JSE that may be shorted for an abnormal return. A fundamental assumption of the efficient market hypothesis is that an abnormal return cannot be made in a market because market prices fully reflect all available information. Several studies on short selling affirmed that abnormal returns could be earned by shorting assets that are in decline. However, there has been no published work that has been done on the Johannesburg Stock Exchange (JSE) on sh
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Nast, Timothy Kyle. "Transforming PiotroskiÕs (binary) F-score into a real one." Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/64896.

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Since the 1960s, accounting researchers have attempted to assess the benefit of historical financial statements to capital market investors (Bunting & Barnard, 2015) by developing an indeterminate number of predictive signals designed to Òbeat the marketÓ. One such stock screen, the Piotroski F-score (Piotroski, 2000), attempted to reverse the trend of increasingly complicated predictive algorithms by applying a simple binary calculation method to nine signals extracted from widely accessible historical accounting data. While Piotroski found the F-score to be effective in separating winners f
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Deng, Xiaoyu. "Piotroski's F-Score in the Chinese A-Share market." Master's thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/24520.

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This study examines whether Piotroski's (2000) F-Score strategy can successfully be applied to the Chinese A-Share market. The empirical evidence shows that in the Chinese A-Share market, the high F-Score portfolio significantly outperforms the low F-Score portfolio. Especially within a low BM firm sample, buying high F-Score firms and shorting low F-Score firms consistently, on average, generate 1.28% market adjusted profit per month. The results are robust for size partition. However, the benefits of Piotroski's F-Score strategy are concentrated in low liquidity and analyst following sample.
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Brindelid, Ludwig, and Tobias Nilsson. "Portfolio performance in Nordic countries : A quantitative comparison study of investment strategies in Denmark, Finland, Norway and Sweden." Thesis, Karlstads universitet, Handelshögskolan (from 2013), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-84342.

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The interest in the stock market has increased in the last couple of years whereas those who invest use all kinds of different strategies, or none at all. Some strategies are quite complicated and time consuming, while others are easier to replicate. The Magic Formula and Piotroski’s F- Score are two of the more well-known investment strategies which have been developed during the 2000s and are relatively easy to follow. The purpose of this study is to compare the performance of the two investment strategies and if they can create excess return in Denmark, Finland and Norway. In addition, the
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Folkelid, Henrik, and Johan Wistrand. "Användning av finansiella rapporter för att slå marknaden : - En utveckling av Piotroskis investeringsstrategi." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-217928.

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Syftet med denna undersökning är att utveckla den investeringsstrategi som Piotroski (2000) tog fram, grundad på fundamentalanalys, genom att sammanlänka variabler från Lev &amp; Thiagarajan (1993) som visat sig vara värderelevanta indikationer på företags rapporterade resultat. För att genomföra detta utvecklas en modell med Piotroskis (2000) F-score som grund. Antalet signaler i modellen utökas från 9 till 12 stycken. Undersökningen genomförs med data från Stockholmsbörsen under perioden 1998 – 2012. Resultatet visar att både den utvecklade modellen och Piotroskis modell pre
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