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Journal articles on the topic 'Piotroski F-Score'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

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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2

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Maulidi Arundina Pratama and Lindananty. "Utilitas Piotroski F-Score Untuk Memprediksi Return Saham Pada Periode 1 Dan Perode 2 Penerbitan Index LQ45." Jurnal Buana Akuntansi 8, no. 2 (2023): 122–30. http://dx.doi.org/10.36805/akuntansi.v8i2.4542.

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This study investigates the predictive capability of the Piotroski F-Score model in forecasting stock returns during two distinct periods following the issuance of the LQ45 index. The rationale behind dividing the testing periods lies in their temporal proximity to the announcement of audited financial statements, with period 1 being close to this announcement and period 2 occurring eight months thereafter. Such differing time intervals can potentially lead to varying investor decisions. The results of regression analysis, conducted on a sample of 30 consistently listed LQ45 stocks spanning fr

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12

Soon, Wai Leong, and Rohaida Basiruddin. "A Conceptual Framework for A Corporate Finance Valuation Method." Business Management and Strategy 9, no. 2 (2018): 54. http://dx.doi.org/10.5296/bms.v9i2.13731.

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The Ohlson Model and its variants have been widely studied by researchers for value relevance of accounting information. It has been used to predict share prices and to assess the fundamental value of a firm. The original Ohlson Model does not clearly define the non-accounting information variables as the linear information dynamics variables. In relation to that, we propose a conceptual framework that includes the Piotroski F-Score, trading liquidity and systematic risk as the linear information dynamics variables in the Ohlson Model to improve prediction of share prices and forecasting capac

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13

Asmadi, Didi, Nur Izzaty, and Friesca Erwan. "PERFORMANCE ANALYSIS OF SHARIA SHARE COMPANIES USING THE PIOTROSKI F-SCORE METHOD." Amwaluna: Jurnal Ekonomi dan Keuangan Syariah 5, no. 1 (2021): 67–75. http://dx.doi.org/10.29313/amwaluna.v5i1.5926.

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14

Armanto, WItjaksono. "Effects of Earning Manipulation, Strength of Financial Position and Financial Distress on Firm Value (Case of Listed Manufacturing Firms in Indonesia)." International Journal of Innovation, Creativity and Change 12, no. 8 (2020): 600–612. https://doi.org/10.5281/zenodo.8315803.

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Financial accounting information is often used by researchers and investors to measures firms value. The objective of this research is to investigate whether earning manipulation, strength of financial position and financial distress effect firm value. In this research earning manipulation is measured using Beneish M-Score, strength of financial position is measured using Piotroski F - Score, Financial distress measured using Altmann Z-score, and firm value is measured using Price Book Value (PBV). We used 125 observations from publicly listed manufacturing companies in Indonesia Stock Exchang

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15

Halim, David, and Sugi Suhartono. "PENGARUH KEPEMILIKAN KELUARGA, KEPEMILIKAN INSTITUSIONAL, DAN KEPUTUSAN PENDANAAN TERHADAP KINERJA KEUANGAN DENGAN METODE PIOTROSKI F-SCORE." Jurnal Akuntansi 10, no. 1 (2021): 8–20. http://dx.doi.org/10.46806/ja.v10i1.795.

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Financial performance is an achievement achieved by a company that can be seen through financial statements. Financial statements can be used as a control, a source of financial information and a representation of the company's performance. The results of financial statement analysis with various sizes of financial ratios can be used as material for evaluating company performance This study aims to determine the effect of family ownership, institutional ownership, and funding decisions on financial performance as measured by the Piotroski F-Score method. The number of samples in this study wer

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16

Jhon, Heryanto, and Subiakto Sukarno Dr. "Sector Rotation Investment Strategy by Implementing Piotroski F-Score and Markowitz Portfolio Theory for Portfolio Construction: Indonesia Stock Market 2020 to 2022." International Journal of Current Science Research and Review 06, no. 02 (2023): 875–99. https://doi.org/10.5281/zenodo.7599920.

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<strong>ABSTRACT: </strong>IHSG or IDX Composite Index crash during 2020 where the index fell 37.5% since beginning of 2020 until mid march to the level points of 3,938, recovered and marking up in 2021 where the index reaching the peak in November to the level points of 6,723, and then consolidating at the year of 2022 where the index move in a ranging movements of up and down within the level points of 6,500 to 7,300. The different cycles of stock market movement are happening because of changes and different economic factors, making investors presented with a different opportunities and ris

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17

Pilch, Bartłomiej. "Building of F-Score-Like Models on the Example of the Polish Stock Market." Annales Universitatis Mariae Curie-Skłodowska, sectio H – Oeconomia 57, no. 1 (2023): 155–80. http://dx.doi.org/10.17951/h.2023.57.1.155-180.

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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 pa

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18

Pérez Sosa, Felipe Abelardo, and Luis Miguel Cruz Lázaro. "Propuesta de clasificación de las Sociedades Cooperativas de Ahorro y Préstamo de México con base en el F-score de Piotroski." REVESCO. Revista de Estudios Cooperativos 140 (March 9, 2022): e80794. http://dx.doi.org/10.5209/reve.80794.

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El objetivo principal de esta investigación es proponer una nueva metodología para la clasificación de las Sociedades Cooperativas de Ahorro y Préstamo (SOCAPS) de México que refleje de manera más eficiente su situación financiera, con la finalidad de que los ahorradores y el organismo supervisor del sector cuenten con información más confiable acerca de su solidez, y, de esta manera, el ahorro de los usuarios de estas entidades se encuentre más protegido. Para ello, se adaptó el F-score de Piotroski (2000) al contexto de las SOCAPS de México, con lo que se evalúan tres áreas de las SOCAPS por

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19

Wang, Simeng. "Risk and Investment Value Analysis in the U.S. Airline Sector of the Stock Market." Advances in Economics, Management and Political Sciences 39, no. 1 (2023): 233–40. http://dx.doi.org/10.54254/2754-1169/39/20231975.

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Amid the evolving global economic landscape, the U.S. airline industry has undergone significant transformations, thus raising the need for comprehensive analyses of its investment value and inherent risks. Financial health, risk management strategies, and investment potential of key players in the U.S. airline sector were assessed, namely, Southwest Airlines, American Airlines, and Singapore Airlines. The research methodology involves a thorough evaluation of the financial ratios of these airlines, their strategic initiatives such as hedging, as well as their environmental, social, and govern

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20

Wichlinski, Martin, and Rajendra Rajaram. "The Use of RONA/WACC as a Proxy for Investment Quality." Journal of Economics and Behavioral Studies 10, no. 6A (2019): 177–85. http://dx.doi.org/10.22610/jebs.v10i6a.2673.

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Proxies for stock investment quality have varied from multi-factor models such as the Piotroski F-Score to simple one-factor return on capital measures. Economic value added, measured as the ratio of return on net assets relative to the weighted average cost of capital, has not been used as a proxy for stock quality. The aim of this study was to demonstrate that economic value added can be used effectively as a proxy for stock quality. Industrial stocks listed on the JSE ALSI between 31 January 2006 and 31 December 2015 comprised the population of this study. Three portfolios (comprising 33% o

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21

Agrawal, Khushbu. "Default Prediction Using Piotroski’s F-score." Global Business Review 16, no. 5_suppl (2015): 175S—186S. http://dx.doi.org/10.1177/0972150915601261.

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22

Sasikala, D. "Altman Z, Messod Beneish M, Piotroski F-scores of Samsung Electronics Limited." International Journal of Management Research and Social Science 8, no. 1 (2020): 3–6. http://dx.doi.org/10.30726/ijmrss/v8.i1.2021.81002.

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23

Sareewiwatthana, Paiboon, and Patarapon Janin. "Tests of quantitative investing strategies of famous investors: case of Thailand." Investment Management and Financial Innovations 14, no. 3 (2017): 218–26. http://dx.doi.org/10.21511/imfi.14(3-1).2017.06.

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This research studied quantitative investing strategies of famous investors in the Stock Exchange of Thailand from 2002 to 2016. This study found that the Graham’s net nets, Dreman’s contrarian, Fisher’s super stock, O’Neil’s CANSLIM, Slater’s zulu principle, Neff’s Cheapo, O’Shaughnessy’s tiny titans, Greenblatt’s magic formula, Carlisle’s acquirer’s multiple and Piotroski’s F-score strategies beat the market (SET TRI). It also found that the Benjamin Graham’s net nets strategy which used the market capitalization of less than two thirds of net current assets value (NCAV) criterion produced t

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Nesselbush, Monica C., Bogdan A. Luca, Young-Jun Jeon, et al. "Abstract 6560: Cell-free RNA analysis for non-invasive cancer detection and characterization." Cancer Research 84, no. 6_Supplement (2024): 6560. http://dx.doi.org/10.1158/1538-7445.am2024-6560.

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Abstract Blood-based liquid biopsies enable non-invasive characterization of cancers. Cell-free RNA (cfRNA) analysis could potentially complement circulating tumor DNA (ctDNA) analysis and allow broader molecular characterization of cancers but has not been extensively explored. Here, we describe RARE-Seq, a novel cfRNA sequencing method designed to maximize sensitivity by targeting rare, tissue-specific transcripts, and simultaneously detecting both tumor-derived expression signatures and somatic mutations in circulating tumor RNA (ctRNA). To interrogate samples for specific gene expression s

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Abdioğlu, Nida, and Sinan Aytekin. "On the Financial Determinants of the Piotroski F-Score: An Analysis of Borsa İstanbul Firms." Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, December 28, 2024. https://doi.org/10.30798/makuiibf.1477251.

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This study investigates the factors effective on Piotroski F-score which is a proxy for financial health of the firms. Manufacturing firms operate in Borsa İstanbul are considered in the analyses with using the time period of 2017:Q1-2024:Q3. This study contributes to the literature by identifying financial determinants of Piotroski F-Score in Türkiye. Driscoll and Kraay (1998) estimator is used with fixed effect panel regression in order to handle issues of heteroscedasticity, cross sectional dependency and autocorrelation in the model. Altman Z-score, return on invested capital, market to bo

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Kılıçarslan, Abdullah, and Hüseyin Ergun. "BIST Şirketlerinin Finansal Sağlığının Değerlendirilmesinde Piotroski F-Skor ve CRITIC Tabanlı COPRAS Kullanımı (Assessing Financial Health with Piotroski F-Score and CRITIC-Based COPRAS: Evidence from BIST)." Journal of Business Research - Turk, June 29, 2025. https://doi.org/10.20491/isarder.2025.2016.

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Amaç –PiotroskiF-Skor ve COPRAS yöntemlerinin kullanıldığı bu çalışmada, finansal oran analizlerinin karar verme teknikleriyle entegre edilerek şirketlerin finansal performanslarının değerlendirilmesi ele alınmaktadır. Bu yaklaşım, finansal karar verme sürecinin isabet oranını artırarak, rakamların ötesindeki hikayelerin karar mekanizmasına etki etmesine imkan sunmaktadır. Çalışmanın temel amacı, Borsa İstanbul’da (BIST) hisseleri işlem gören ve Tarım, Ormancılık ve Balıkçılık sektöründe faaliyet gösteren dört şirketin (AGROT, IZINV, OZSUB, YAPRK) finansal sağlık durumlarını Piotroski F-Skoru

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27

Hyde, Charles E. "An Emerging Markets Analysis of the Piotroski F Score." SSRN Electronic Journal, 2013. http://dx.doi.org/10.2139/ssrn.2274516.

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28

Sopian, Hendri. "Penilaian IPO PT Sunindo Pratama, Tbk Dengan Metode SWOT, Piotroski F-Score, Formula Graham Dan NNWC." Jurnal Manajemen Aset dan Penilai 3, no. 1 (2023). http://dx.doi.org/10.56960/jmap.v3i1.54.

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Penilaian bisnis ekuitas saham merupakan kegiatan untuk mengestimasi kewajaran hargasaham suatu entitas bisnis. Penulis memilih PT Sunindo Pratama, Tbk sebagai bahan penelitiankarena perusahaan tersebut baru melakukan penawaran umum perdana/Initial Public Offering(IPO) pada Januari 2023. Tujuan dari penulisan ini untuk mengetahui prospek perusahaan kedepan serta mengetahui harga wajar per lembar saham PT Sunindo Pratama, Tbk dalam prosesIPO. Penelitian menggunakan pendekatan kualitatif dan kuantitatif. Pendekatan kualitatif yaitumenggunakan analisis Strengths, Weaknesses, Opportunities, Threat

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29

Eremenko, Egor. "Quantitative Fundamentals. Application of Piotroski F-Score on Non-U.S. Markets." SSRN Electronic Journal, 2017. http://dx.doi.org/10.2139/ssrn.3262154.

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Hyde, Charles E. "The Piotroski F Score in the Australian Market: Performance & Fundamental Drivers." SSRN Electronic Journal, 2015. http://dx.doi.org/10.2139/ssrn.2577181.

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31

Useche, Alejandro J., Jennifer Martínez-Ferrero, and Giovanni E. Reyes. "Taking ESG strategies for achieving profits: a dynamic panel data analysis." Journal of Economics, Finance and Administrative Science, September 24, 2024. http://dx.doi.org/10.1108/jefas-02-2023-0030.

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PurposeThe goal is to investigate the relationship between financial performance and environmental, social and governance (ESG) indicators and disclosures for a sample of Latin American firms.Design/methodology/approachDynamic panel data regressions are used to analyze a sample of 114 companies listed on the Latin American Integrated Market, MILA (Chile, Colombia, Mexico and Peru) for the period 2011–2020. The Altman Z-score and Piotroski F-score are used as indicators of the probability of default and comprehensive financial strength. Models are developed in which the relationship between eco

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32

Karadeniz, Erdinç, and Ömer İskenderoğlu. "FINANCIAL STRENGHT ASSESMENT OF FOOTBALL CLUPS: AN INTERNATIONAL COMPARISON." Finans Ekonomi ve Sosyal Araştırmalar Dergisi, April 25, 2024. http://dx.doi.org/10.29106/fesa.1453695.

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The aim of this research is to evaluate the financial strengths of football clubs comparatively on an international scale. In this regard, the financial strengths of 24 football clubs from six national leagues affiliated with the Union of European Football Associations (UEFA) were examined using the Piotroski F-Score method. During the analysis process, nine financial indicators under the categories of profitability, liquidity-leverage, and operational efficiency for the period 2019-2023 were calculated and scored from 0 to 9. The research concluded clubs exhibit moderate financial strength, i

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33

Ho, Tuan, Y. Trong Nguyen, Hieu Truong Manh Tran, and Dinh-Tri Vo. "Fundamental analysis and the use of financial statement information to separate winners and losers in frontier markets: evidence from Vietnam." International Journal of Emerging Markets, January 7, 2022. http://dx.doi.org/10.1108/ijoem-03-2020-0279.

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Purpose The pupose of the paper is to study the usefulness of Piotroski (2000)'s F-score in separating winners and losers in Vietnam. Design/methodology/approach The authors adopt a portfolio analysis and regression analysis on a sample of 501 of listed firms between 2009 and 2019 in Vietnam. Findings The authors find that a hedge strategy that buys high-F-score firms and sells low-F-score firms yield market-adjusted return of over 30 percent annually, which is statistically and economically significant. The hedge strategy based on F-score is not only profitable for value (high book-to-market

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34

Heryanto, Jhon, and Dr Subiakto Sukarno. "Sector Rotation Investment Strategy by Implementing Piotroski F-Score and Markowitz Portfolio Theory for Portfolio Construction: Indonesia Stock Market 2020 to 2022." International Journal of Current Science Research and Review 06, no. 02 (2023). http://dx.doi.org/10.47191/ijcsrr/v6-i2-04.

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IHSG or IDX Composite Index crash during 2020 where the index fell 37.5% since beginning of 2020 until mid march to the level points of 3,938, recovered and marking up in 2021 where the index reaching the peak in November to the level points of 6,723, and then consolidating at the year of 2022 where the index move in a ranging movements of up and down within the level points of 6,500 to 7,300. The different cycles of stock market movement are happening because of changes and different economic factors, making investors presented with a different opportunities and risks at the stock market. In

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35

Bui, Phu Giau, and Joe Byers. "Application Of Piotroski F-score In A Southeast Asian Emerging Market -  A Case Study In Vietnam." SSRN Electronic Journal, 2024. http://dx.doi.org/10.2139/ssrn.4886890.

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36

Aparna, M. S., and V. Kavida. "A Study on the Financial Health of Oil and Gas Indices in India." SDMIMD Journal of Management, March 19, 2025, 1–15. https://doi.org/10.18311/sdmimd/2025/48436.

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India is one of the major drivers of global oil consumption, about 25%; it is crucial to assess the financial health of its oil and gas companies to understand their capacity to meet growing demand and sustainable long-term growth. This study investigates the financial stability and the likelihood of bankruptcy in oil and gas sector companies in India. The research adopts a quantitative approach by analyzing secondary data from financial statements to identify the potential financial health and distress of selected companies. Financial tools such as profitability and operational ratios, Piotro

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