Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Stochastic Method for Optimizing Portfolios Using a Combined Monte Carlo and Markowitz Model: Approach on Python Subject The topic of the resource Correlation; Efficient Frontier; Markowitz Monte Carlo; Pharma index; Return; Risk Description An account of the resource The main of the study is to comprehend how the mean variance efficient frontier method may be used in conjunction with Markowitz portfolio theory to produce an optimal portfolio. The study uses daily observations 8 pharma companies closing price namely Auropharma, Granules, Glaxo, Lauruslabs, Pfizer, Sanofi and Torntpharma. Further, Nifty pharma index is considered as benchmark index to check the performance of the chosen companies. The study chosen the reference period from 2020 to 2023 and required data has been extracted from the National Stock Exchange (NSE). This research is based on implementing a stochastic method for efficient portfolio optimisation employing a blended Monte Carlo and Markowitz model. In order to forecast the price of these indices in the future and to determine the likelihood of profit or loss while investing in a portfolio of stocks representing the aforementioned indices, the study also uses Monte Carlo simulation. The study involves two algorithms, namely the deterministic optimisation algorithm, which uses Markowitz Portfolio Theory, and the probabilistic optimisation algorithm, which uses Monte Carlo simulation. The study employed correlation matrix to find the exist relationship between the chosen companies and benchmark index. Also, expected return and volatility has been identified with the help of standard deviation using Python. The study found that the NIFTY Pharma index offers a higher return of 14.35. In addition to this, NIFTY Pharma portfolio's volatility is considerably higher. The study concludes that the NIFTY pharma portfolio is more suitable for those investors who have an appetite for risk. 2024 R. Mallieswari et al., published by Sciendo. Creator An entity primarily responsible for making the resource Mallieswari R.; Palanisamy V.; Senthilnathan A.T.; Gurumurthy S.; Joshua Selvakumar J.; Pachiyappan S. Source A related resource from which the described resource is derived ECONOMICS - Innovative and Economics Research Journal, Vol-12, No. 2, pp. 113-127. Publisher An entity responsible for making the resource available Sciendo Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.2478/eoik-2024-0014" target="_blank" rel="noreferrer noopener">https://doi.org/10.2478/eoik-2024-0014</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200455572&amp;doi=10.2478%2Feoik-2024-0014&amp;partnerID=40&amp;md5=ccfa624923bf24565f8d9ffdf82c225e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200455572&amp;doi=10.2478%2feoik-2024-0014&amp;partnerID=40&amp;md5=ccfa624923bf24565f8d9ffdf82c225e</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 23035005 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mallieswari R., M S Ramaiah Institute of Management, Karnataka, Bengaluru, India; Palanisamy V., M S Ramaiah Institute of Management, Karnataka, Bengaluru, India; Senthilnathan A.T., Sri Ramakrishna Engineering College, Tamil Nadu, Coimbatore, India; Gurumurthy S., Kumaraguru College of Liberal Arts and Science, Tamil Nadu, Coimbatore, India; Joshua Selvakumar J., CHRIST University, Karnataka, Bangalore, India; Pachiyappan S., CHRIST University, Karnataka, Bangalore, India