Faninda, Sandra
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Magic Formula: Can It Be Used to Identify 'Winning Stocks' in the Indonesian Stock Exchange? Michael, Michael; Sasmitapura, Angga; Faninda, Sandra; Fransisca, Elza; Setiawan, Amelia
International Journal of Pertapsi Vol. 2 No. 2 (2024): August 2024
Publisher : Pertapsi-Indonesia collaborated with Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/ijp.2.2.79-87

Abstract

Magic Formula, developed by Joel Greenblatt, offers a simplified investment model that can be used by individuals without extensive financial literacy. This model uses two key metrics: return on capital and earnings yield, to identify potentially profitable stocks. This study tests the effectiveness of the Magic Formula using data from companies listed on the Indonesia Stock Exchange over the past ten years (2011-2021). The results indicate that the Magic Formula yields an average annual return of 39.81%, significantly outperforming the market return, which stands at 6.16%.
Managing Risk in the Digital Era: A Generational Approach-Z on Personal Risk Management Setiawan, Amelia; Wirawan, Samuel; Djajadikerta, Hamfri; Faninda, Sandra
Journal of Economics, Business, and Accountancy Ventura Vol. 27 No. 2 (2024): August - November 2024
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v27i2.3909

Abstract

Risk management should be applied not only at the corporate level but also on a personal level. As technology becomes increasingly integral to daily life, implementing personal risk management in digital activities warrants examination. This study explores personal risk management within the context of online shopping. It investigates factors influencing personal risk management, including privacy concerns, perceived security threats, and internet self-efficacy. The study focuses on individuals from Generation Z, the first generation to grow up in a fully digital environment. Data were collected through online questionnaires, yielding 972 responses, of which 466 were analyzed further. The data were processed using SEM-PLS. The findings indicate that privacy concerns, perceived threats, and internet self-efficacy directly impact personal risk management, which in turn directly influences purchase intentions. This research offers valuable insights for regulators in crafting digital security regulations, for individuals in evaluating and enhancing their personal risk management strategies, for online retailers in designing robust data security measures, and for researchers as a contribution to the limited literature on this topic.