Analisis Pengaruh Metrik Berbasis Nilai terhadap Volatilitas Pengembalian Saham: Studi Empiris pada Perusahaan Non Keuangan di Bursa Efek Indonesia
DOI:
https://doi.org/10.33753/madani.v8i1.420Keywords:
Value-Based Matrix, Votality of Stock ReturnAbstract
This study aims to analyze the relationship between Economic Value Added (EVA) and Market Value Added (MVA) value-based performance metrics on the volatility of stock returns in the Indonesian capital market, as well as identify the factors that moderate the relationship. Using a quantitative approach with panel data regression analysis, this study examined 150 non-financial companies listed on the Indonesia Stock Exchange during the period 2019-2023. The analysis was conducted using fixed effect and random effect models to test the relationship between EVA, MVA, and stock return volatility by controlling for company size, leverage, profitability, and industry effects. The results showed that EVA had a significant negative relationship with stock return volatility (? = -0.312, p < 0.01), indicating that companies with high economic value creation tend to have more stable stock returns. In contrast, MVA showed a positive but weaker relationship with volatility (? = 0.187, p < 0.05), suggesting that market-based metrics can amplify short-term price fluctuations. The combined model was able to explain 67.8% of the variance of stock return volatility and significantly outperformed traditional metrics. These findings make an important contribution to portfolio managers in building low-risk investment strategies and to company management in increasing shareholder value through sustainable value creation practices.
Abstrak
Penelitian ini bertujuan untuk menganalisis hubungan antara metrik kinerja berbasis nilai Economic Value Added (EVA) dan Market Value Added (MVA) terhadap volatilitas pengembalian saham di pasar modal Indonesia, serta mengidentifikasi faktor-faktor yang memoderasi hubungan tersebut. Menggunakan pendekatan kuantitatif dengan analisis regresi data panel, penelitian ini meneliti 150 perusahaan non-keuangan yang terdaftar di Bursa Efek Indonesia selama periode 2019-2023. Analisis dilakukan menggunakan model fixed effect dan random effect untuk menguji hubungan antara EVA, MVA, dan volatilitas pengembalian saham dengan mengontrol ukuran perusahaan, leverage, profitabilitas, dan efek industri. Hasil penelitian menunjukkan bahwa EVA memiliki hubungan negatif signifikan dengan volatilitas pengembalian saham (? = -0,312, p < 0,01), mengindikasikan bahwa perusahaan dengan penciptaan nilai ekonomi yang tinggi cenderung memiliki pengembalian saham yang lebih stabil. MVA menunjukkan hubungan positif namun lebih lemah dengan volatilitas (? = 0,187, p < 0,05), menunjukkan bahwa metrik berbasis pasar dapat memperkuat fluktuasi harga jangka pendek. Model gabungan mampu menjelaskan 67,8% varian volatilitas pengembalian saham dan secara signifikan mengungguli metrik tradisional. Temuan ini memberikan kontribusi penting bagi manajer portofolio dalam membangun strategi investasi berisiko rendah dan bagi manajemen perusahaan dalam meningkatkan nilai pemegang saham melalui praktik penciptaan nilai berkelanjutan.
Kata Kunci: Matrik Berbasis Nilai, Votalitas Pengembalian Saham
Downloads
References
Adiputra, I. G., Sari, M. P., & Rahman, A. (2023). Analisis kinerja Economic Value Added pada perusahaan teknologi di Indonesia. Jurnal Manajemen Dan Bisnis Indonesia, 15(2), 123–138. https://doi.org/10.21776/jmbi.2023.15.2.08.
Andini, S., & Wijaya, K. (2022). Value-based metrics dan volatilitas saham: Perspektif pasar emerging. Indonesian Journal of Finance, 8(3), 45–62. https://doi.org/10.32424/ijf.v8i3.156.
Barberis, N., & Thaler, R. H. (2003). A Survey of Behavioral Finance. In Handbook of the Economics of Finance (Vol. 1, pp. 1053–1128). Elsevier. https://www.nber.org/papers/w9222.
Baskoro, A., & Putri, D. A. (2022). Behavioral biases dan efisiensi pasar: Evidensi dari Bursa Efek Indonesia. Jurnal Ilmiah Manajemen, 12(1), 67–82. https://doi.org/10.31933/jim.v12i1.458.
Budiman, F., & Fatmawati, L. (2023). Dampak ekspektasi pasar terhadap volatilitas harga saham: Peran Market Value Added. Jurnal Ekonomi Dan Bisnis, 24(2), 189–204. https://doi.org/10.24123/jeb.v24i2.4012.
Chen, [Author First Name], 2], [Co-author, & 3], [Co-author. (2021). [Article Title - Please specify from your source]. [Journal Name - Please Specify from Your Source], [Volume]([Issue]), [Start Page]-[End Page].
Fitriani, N., Kusuma, H., & Pradana, S. (2023). Karakteristik pasar modal Indonesia: Analisis efisiensi dan perilaku investor. Jurnal Manajemen Investasi, 19(1), 34–49.
Gujarati, D. N., & Porter, D. C. (2021). Basic Econometrics (6th ed.). McGraw-Hill Education.
Handoko, B., Prasetya, A., & Maharani, K. (2023). Moderating effect karakteristik perusahaan pada hubungan EVA-stock return. Jurnal Riset Akuntansi, 20(2), 98–113. https://doi.org/10.33312/jra.v20i2.678.
Hartono, J. (2022). Teori Portofolio dan Analisis Investasi (11th ed.). BPFE-Yogyakarta.
Hartono, S., & Susanto, E. (2023). Efficient market hypothesis di era digital: Evidensi terbaru dari pasar modal Indonesia. Indonesian Journal of Economics, 11(1), 23–38. https://doi.org/10.29040/ije.v11i1.234.
Indrawati, P., & Suherman, A. (2022). Market confidence dan stock price stability: Peran Market Value Added. Jurnal Manajemen Keuangan, 16(3), 201–216. https://doi.org/10.24034/jmk.v16i3.567
Jorion, P. (2022). Value at Risk: The New Benchmark for Managing Financial Risk (4th ed.). McGraw-Hill Education.
Kumar, S., & Singh, R. (2021). Market efficiency in emerging economies: Contemporary evidence and implications. Journal of Financial Markets, 45(2), 123–145. https://doi.org/10.1016/j.finmar.2021.05.003.
Kusuma, A., Rahman, F., & Sari, D. P. (2022). Volatilitas pasar saham Indonesia periode 2019-2023: Analisis faktor internal dan eksternal. Indonesian Stock Exchange Review, 15(3), 178–193. https://doi.org/10.21002/iser.v15i3.234.
Lestarini, H., & Handayani, P. (2022). Economic Value Added dan abnormal return: Evidensi dari sektor manufaktur Indonesia. Jurnal Manajemen Investasi Dan Keuangan, 7(2), 234–249. https://doi.org/10.35794/jmik.7.2.2022.123.
Mahendra, A., & Sugiarto, B. (2022). Pola volatilitas time-varying di pasar modal Indonesia: Perbandingan dengan developed markets. Indonesian Journal of Financial Economics, 9(4), 156–171. https://doi.org/10.31002/ijfe.v9i4.456.
Nguyen, T., & Pham, L. (2022). Stock market volatility in emerging economies: Global and local factors. Emerging Markets Finance and Trade, 58(8), 2234–2251. https://doi.org/10.1080/1540496X.2022.2087654.
Nugroho, A., Santosa, P., & Wijaya, M. (2023). Behavioral finance dan anomali pasar: Perspektif investor Indonesia. Jurnal Perilaku Keuangan, 5(2), 123–138. https://doi.org/10.25105/jpk.v5i2.789.
Nurhayati, S., & Septiana, R. (2023). Karakteristik volatilitas saham di Indonesia: Analisis time series dan cross-sectional. Indonesian Capital Market Studies, 11(3), 201–216. https://doi.org/10.31002/icms.v11i3.456.
Oktaviani, D., & Sari, N. M. (2023). Economic Value Added sebagai ukuran kinerja superior: Reformulasi untuk konteks Indonesia. Jurnal Akuntansi Manajemen, 18(1), 89–104. https://doi.org/10.35794/jam.v18i1.234.
Pratiwi, M., Setiawan, A., & Rahman, B. (2022). Political risk dan currency volatility: Dampak terhadap pasar saham Indonesia. Indonesian Political Economy Journal, 8(3), 123–138. https://doi.org/10.31326/ipej.v8i3.456.
Purnama, I., & Setiawan, R. (2023). Rational investor behavior dan value-based information processing. Indonesian Investor Behavior Review, 7(1), 67–82. https://doi.org/10.25105/iibr.v7i1.234.
Rahman, A., & Ibrahim, M. (2023). Limitations of traditional financial metrics in value creation assessment. International Journal of Financial Research, 14(2), 178–193. https://doi.org/10.5430/ijfr.v14n2p178.
Rizaldi, M., Hartanto, P., & Susilo, D. (2022). MVA performance di sektor infrastruktur: Analisis stock price outperformance. Indonesian Infrastructure Review, 9(4), 189–204. https://doi.org/10.31002/iir.v9i4.234.
Safitri, L., Wijayanti, N., & Kurnia, B. (2023). Predictability versus volatility trade-off di emerging markets. Emerging Markets Research Journal, 5(1), 34–49. https://doi.org/10.29040/emrj.v5i1.456.
Sartika, D., Wijaya, L., & Prasetyo, H. (2023). Information environment quality dan stock market liquidity di Indonesia. Indonesian Market Microstructure Review, 10(2), 123–138. https://doi.org/10.31326/immr.v10i2.345.
Sekaran, U., & Bougie, R. (2020). Research Methods for Business: A Skill-Building Approach (8th ed.). John Wiley & Sons.
Setiawan, B., & Kurniawati, M. (2022). Market-based valuation metrics: Forward-looking perspective untuk investor Indonesia. Indonesian Investment Review, 13(4), 267–282. https://doi.org/10.25105/iir.v13i4.789.
Stewart, G. B. (2020). The quest for value: A guide for senior managers (2nd ed.). HarperBusiness Publishers.
Trisnawati, E., & Perdana, H. (2023). Cash flow predictability dan stock return volatility: Mediating role EVA. Indonesian Cash Flow Studies, 6(1), 89–104. https://doi.org/10.29040/icfs.v6i1.234.
Wahyuni, S., & Prasetyo, D. (2023). MVA correlation dengan cumulative stock return: Evidensi sektor consumer goods. Indonesian Consumer Industry Review, 8(2), 201–216. https://doi.org/10.25105/icir.v8i2.890.
Wibowo, T., & Santoso, A. (2023). Volatilitas Bursa Efek Indonesia periode 2019-2023: Analisis trend dan determinan. Indonesian Stock Exchange Quarterly, 12(1), 56–71. https://doi.org/10.21002/iseq.v12i1.234.
Widodo, H., & Kurnia, S. (2022). Information asymmetry reduction dan price discovery improvement melalui enhanced disclosure. Indonesian Financial Reporting Review, 11(4), 234–249. https://doi.org/10.31326/ifrr.v11i4.456.
Young, S. D., & O’Byrne, S. F. (2021). EVA and value-based management: A practical guide to implementation (3rd ed.). McGraw-Hill Education.







