@article{Hendri Setiadi_Achsani_Manurung_Irawan_2023, title={Analysis of Stock Selection Model Strategy in Indonesia’s Capital Market}, volume={9}, url={https://jurnal.ipb.ac.id/index.php/jabm/article/view/43492}, DOI={10.17358/jabm.9.1.105}, abstractNote={<p>The impact of investor behavior and decision-making on investment interest in the Indonesian capital market is ultimately tied to the stock selection model used to form an optimal portfolio. Therefore, this study aims to develop an optimal stock selection model in the Indonesian capital market. And thus, the novelty of this study relates to other studies that demonstrate how to improve investment decisions in the capital market in Indonesia. Whereas previous research focused solely on the associations between variables, this study examines the variables themselves. This investigation was carried out in the Greater Jakarta of Jabodetabek (Jakarta, Bogor, Depok, Tangerang, Bekasi). This research utilizes the Fuzzy-Analytical Hierarchy Process (FAHP) methodology. FAHP is the combination of AHP and a fuzzy concept approach. The FAHP method uses qualitative and quantitative data to make decisions. The data collection method employs primary data from the Survey Questionnaire and discussions, secondary data consisting of market data, stock price movement data from the Indonesia Stock Exchange, Indonesian Central Securities Depository, Bank Indonesia, and empirical literature about stock selection models. The results of the analysis indicate that forming the optimal portfolio in the Indonesian capital market involves predicting the price or stock return using a single factor that is thought to impact security. The primary objective assumed to be realized by the optimal portfolio formation approach on the Indonesian capital market is the optimization of stock combinations.</p> <p>Keywords: investor behavior, investor decision-making, capital market, investment, stocks</p&gt;}, number={1}, journal={Jurnal Aplikasi Bisnis dan Manajemen (JABM)}, author={Hendri Setiadi and AchsaniNoer Azam and ManurungAdler Haymans and IrawanTony}, year={2023}, month={Jan.}, pages={105} }