Anchoring Effects and Valuation Persistence in the Indonesian Consumer Non-Cyclical Sector: A Dynamic System GMM Approach

Authors

  • Mukti Soma Telkom University
  • Mas Mochamad Shohifuddin Telkom University

DOI:

https://doi.org/10.55927/ijba.v6i2.16441

Keywords:

System GMM, Valuation Persistence, Consumer Non-Cyclical, PBV, Emerging Markets

Abstract

This study investigates market valuation determinants within the Indonesian consumer non-cyclical sector (2018–2024). Utilizing a dynamic System Generalized Method of Moments (System GMM) approach on 58 firms, the research examines the impact of Altman Z”-Score, Piotroski F-Score, Mohanram G-Score, and Beneish M-Score on Price to Book Value. Findings reveal strong valuation persistence, where lagged Price-to-book Value (PBV) serves as the primary anchor, while traditional accounting signals exhibit limited immediate influence. This highlights the psychological-adaptive nature of defensive sector valuations in emerging markets. The results suggest that historical momentum outweighs conventional fundamental signals, contributing to the literature on valuation inertia and signaling effectiveness in stable industries. This research provides critical insights for investors navigating defensive asset pricing.

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References

Altman, E. I. (1968). Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy. The Journal of Finance, 23(4), 589–609. https://doi.org/10.1111/j.1540-6261.1968.tb00843.x

Altman, E. I., Hartzell, J., & Peck, M. (1998). Emerging market corporate bonds — a scoring system. In R. M. Levich (Ed.), Emerging Market Capital Flows: Proceedings of a Conference held at the Stern School of Business, New York University on May 23–24, 1996 (pp. 391–400). Springer US. https://doi.org/10.1007/978-1-4615-6197-2_25

Arellano, M., & Bond, S. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. The Review of Economic Studies, 58(2), 277. https://doi.org/10.2307/2297968

Ball, R., & Brown, P. (1968). An Empirical Evaluation of Accounting Income Numbers. Journal of Accounting Research, 6(2), 159–178. https://doi.org/10.2307/2490232

Beneish, M. D. (1999). The Detection of Earnings Manipulation. Financial Analysts Journal, 55(5), 24–36. https://doi.org/10.2469/faj.v55.n5.2296

Beneish, M. D., Lee, C. M. C., & Nichols, D. C. (2012). Fraud Detection and Expected Returns. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1998387

Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. https://doi.org/10.1016/S0304-4076(98)00009-8

Bodie, Z., Kane, A., & Marcus, A. (2021). Investments 12th Edition (12th ed.). McGraw-Hill Education.

Croissant, Y., & Millo, G. (2008). Panel Data Econometrics in R : The plm Package. Journal of Statistical Software, 27(2). https://doi.org/10.18637/jss.v027.i02

Damodaran, A. (2012). Investment Valuation: Tools and Techniques for Determining the Value of Any Asset (3rd Edition). Wiley.

Deloitte. (2020). Deloitte Indonesia Business and Industry Updates The Pivotal Role of Trust: Impact of COVID-19 on the Food and Beverage Sector in Indonesia. https://www.scribd.com/document/495017159/id-consumer-covid19-2020-1

Fox, J., & Weisberg, S. (2019). An R Companion to Applied Regression (Third). Sage. https://www.john-fox.ca/Companion/

Grahadyarini, B. L. (2021, November 11). Sektor Ritel Dorong Transformasi Digital. [Online]. Https://Www.Kompas.Id/Baca/Ekonomi, 9. https://www.kompas.id/baca/ekonomi/2021/11/11/Sektor-Ritel-Dorong-Transformasi-Digital [27 November 2023].sektor-ritel-dorong-transformasi-digital

Indonesia Stock Exchange, R. D. (2025, September). IDX INDEX FACT SHEET IDXNONCYC September 2025. Https://Www.Idx.Co.Id/Media/Zmjhpzvj/Fs-Idxnoncyc-2025-09.Pdf.

Kristanti, F. T., Salim, D. F., & Ihsan, A. F. (2025). Financial distress prediction in emerging markets by using a machine learning approach for financial sustainability. Discover Sustainability, 6(1), 1296. https://doi.org/10.1007/s43621-025-02199-1

Malkiel, B. G., & Fama, E. F. (1970). EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK*. The Journal of Finance, 25(2), 383–417. https://doi.org/10.1111/j.1540-6261.1970.tb00518.x

Marpaung, A. M. R., & Yunita, I. (2026). Analysis of Bankruptcy Prediction Accuracy Using the Altman Z-Score, Springate, Taffler, and Zmijewski Models in Property & Real Estate Companies Listed on the IDX (2020-2023). INTERNATIONAL JOURNAL OF ECONOMICS AND MANAGEMENT REVIEW, 4(1), 34–57. https://doi.org/10.58765/ijemr.v4i1.374

Marsyukrilla, E. (2022, January 20). Konsumsi Rokok Tak Terdampak Pandemi. Kompas, 12. https://www.kompas.id/baca/metro/2022/01/19/konsumsi-rokok-tak-terdampak-pandemi

Mediana. (2021, October 8). Produk Perawatan Kulit Laris Manis Selama Pandemi. [Online]. Https://Www.Kompas.Id/Baca/Ekonomi https://www.kompas.id/baca/ekonomi/2021/10/08/Produk-Perawatan-Kulit-Tidak-Sepi-Peminat-Selama-Pandemi [27 November 2023].produk-perawatan-kulit-tidak-sepi-peminat-selama-pandemi

Millard, S. P. (2013). EnvStats: An R Package for Environmental Statistics. Springer. https://www.springer.com

Mohanram, P. S. (2005). Separating Winners from Losers among LowBook-to-Market Stocks using Financial Statement Analysis. Review of Accounting Studies, 10(2–3), 133–170. https://doi.org/10.1007/s11142-005-1526-4

Nadya, K. (2023, August 29). Apa itu Consumer Non Cyclical: Definisi dan Contoh Sahamnya di Pasar Modal. [Online]. Https://Www.Idxchannel.Com/Market-News/Apa-Itu-Consumer-Non-Cyclical-Definisi-Dan-Contoh-Sahamnya-Di-Pasar-Modal [27 November 2023].IDX Channel. https://www.idxchannel.com/market-news/apa-itu-consumer-non-cyclical-definisi-dan-contoh-sahamnya-di-pasar-modal

Ohlson, J. A. (1995). Earnings, Book Values, and Dividends in Equity Valuation*. Contemporary Accounting Research, 11(2), 661–687. https://doi.org/10.1111/j.1911-3846.1995.tb00461.x

Piotroski, J. D. (2000). Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Journal of Accounting Research, 38, 1. https://doi.org/10.2307/2672906

Titik Kristanti, F., Safriza, Z., & Fitrizal Salim, D. (2023). Are Indonesian construction companies financially distressed? A prediction using artificial neural networks. Investment Management and Financial Innovations, 20(2), 41–52. https://doi.org/10.21511/imfi.20(2).2023.04

Zeileis, A., & Hothorn, T. (2002). Diagnostic Checking in Regression Relationships. R News, 2(3), 7–10. https://CRAN.R-project.org/doc/Rnews/

Zukhruf Ramadhani, A. Mukti Soma, Brady Rikumahu, & Dwi Fitrizal Salim. (2026). THE INFLUENCE OF DIGITAL LITERACY, FINANCIAL LITERACY, GENDER, AND FEAR OF MISSING OUT (FOMO) ON STOCK INVESTMENT DECISIONS WITH INFORMATION DISCLOSURE AS A MEDIATING VARIABLE AMONG GENERATIONS Y AND Z IN WEST JAVA. Multidisciplinary Indonesian Center Journal (MICJO), 3(1), 1110–1122. https://doi.org/10.62567/micjo.v3i1.1968

Published

2026-05-04

How to Cite

Abdul Mukti Soma, & Shohifuddin, M. M. (2026). Anchoring Effects and Valuation Persistence in the Indonesian Consumer Non-Cyclical Sector: A Dynamic System GMM Approach. Indonesian Journal of Business Analytics, 6(2), 345–358. https://doi.org/10.55927/ijba.v6i2.16441

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Articles