INFLUENCE OF OWNERSHIP PATTERN ON FINANCIAL PERFORMANCE OF AUTOMOBILE FIRMS IN INDIA
Abstract
The present study attempts to focus on the relationship between ownership pattern and financial performance of selected automobiles firms in India working in the car manufacturing sector during the period 2015 – 2022 which also includes the COVID-19 pandemic period.it also evaluated the influence ownership pattern variables (institutional, managerial, and foreign) on firms’ performance (Return on Assets and Return on Equity). The study based on secondary, adopting correlation and regression technique and observe that Indian promotors and foreign ownership has positive and significant influence on firs value while other pattern has insignificant.in this study tries to light on influence of ownership pattern on corporate performance.
Keyword : Ownership pattern, institutional and foreign ownership, financial performance and COVID-19
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Serghiescu, L., Vaidean V.L. (2013) Determinant factors of the capital structure of a firm– an empirical analysis, Working paper EMQFB Tg Mures 2013. Abor. (2005) the effect of capital structure on profitability an empirical analysis of listed firms in China, risk finance journal ,6(5), pp.438-447 Huang, S., Song, F. (2006) The determinants of capital structure: evidence from China, China Economic Review, 17(1), pp.14-36 Aymen Mohamed Ben Moussa. (2014) “Impact of ownership Structure on Financial performance of Banks: Case of Tunisia” Journal of Applied Finance & Banking, vol. 4, no. 2, 2014, ISSN: 1792- 6580, pp.163-182 Lee, Sanghoon (2008): Ownership structure and financial performance: Evidence from panel data of South Korea, Working Paper, No. 2008-17, The University of Utah, Department of Economics, Salt Lake City, UT Lawal Rodiat, Yahaya Khadijat (2018): in tittle Effect of ownership Structure on financial Performance of Deposit Money Bank in Nigeria, Journal of accounting and Management, ISSN: 2284 – 9459. JAM vol. 8, no. 2 (2018). Yixiang Zhou (2011): “Empirical Research on Ownership Structure and Corporate Performance Based on the Perspective of Dynamic Endogeneity” ScienceDirect, Energy Procedia 5 (2011) 1878-1884. Ansarullah, S. I., Saif, S. M., Andrabi, S. A. B., Kumhar, S. H., Kirmani, M. M., & Kumar, D. P. (2022). An intelligent and reliable hyperparameter optimization machine learning model for early heart disease assessment using imperative risk attributes. Journal of Healthcare Engineering, 2022. https://doi.org/10.1155/2022/9882288. Kumhar, S. H., Ansarullah, S. I., Gardezi, A. A., Ahmad, H., Abd Elgawad, A. E. E., & Shafiq, M. (2023). Translation of English Language into Urdu Language Using LSTM Model. Computers, Materials & Continua, 74(2), 3899-3912. https://doi.org/10.32604/cmc.2023.032290. G. S. P. Ghantasala et al., "Tech-Enabled Banking Revolt:The Transformational Era of IT in the Financial Sector," 2023 Seventh International Conference on Image Information Processing (ICIIP), Solan, India, 2023, pp. 133-136, doi: 10.1109/ICIIP61524.2023.10537647. Shaik, R. B., Banu, S. B., Siddiqui, S. A., Jyothi, M. K., Bhaumik, A., Chandini, S., & Aarif, M. (2023). Organizational Commitment Of Employee A Rising Risk In The Educational Sector. Boletin de Literatura Oral-The Literary Journal, 10(1), 2496-2505. Banu, S. R., Banu, S. B., Shaik Chandini, D. V., Jyothi, M. K., & Nusari, M. S. (2022). Assessment of research skills in undergraduates students. Journal of Positive School Psychology, 6938-6948. S. B. Banu, S. W. Akhtar, S. Arshad, S. R. Banu, S. Chandini and G. P. Ghantasala, "High Heels Are No More an Accessory of Fashion for Women- A Study Unrevealing the Health Effects of Wearing High Heels," 2024 10th International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India, 2024, pp. 406-410, doi: 10.1109/ICCSP60870.2024.10543799. Sahu, G., Anant, M., & Tiwari, S. The Impact of Social Media on the Positive Development of Teenagers in the Contemporary age Sahu, G., Anant, M., Tiwari, S., & Gupta, T. C. (2024). SEZ-Led Economic Growth: Evaluating The Impact Of Export Promotion Policies On Developing Countries, With A Focus On India–An Analytical Study. Educational Administration: Theory and Practice, 30(4), 1215-1220. Sahu, G., Anant, M., & Tiwari, S. (2023). Information and Communication Technology (ICT) in the context of Rural Women Empowerment. The journal of contemporary issues in business and government, 29(3), 323-329. Sahu, G., Anant, M., & Tiwari, S. The Impact of Social Media on the Positive Development of Teenagers in the Contemporary age. Malik, A., Gautam, S., Abidin, S., & Bhushan, B. (2019, July). Blockchain technology-future of IoT: including structure, limitations and various possible attacks. In 2019 2nd international conference on intelligent computing, instrumentation and control technologies (ICICICT) (Vol. 1, pp. 1100-1104). IEEE. Abidin, S., Swami, A., Ramirez-Asís, E., Alvarado-Tolentino, J., Maurya, R. K., & Hussain, N. (2022). Quantum cryptography technique: A way to improve security challenges in mobile cloud computing (MCC). Materials Today: Proceedings, 51, 508-514. Abidin, S., Vadi, V. R., & Rana, A. (2021). On confidentiality, integrity, authenticity, and Freshness (CIAF) in WSN. In Advances in Computer, Communication and Computational Sciences: Proceedings of IC4S 2019 (pp. 87-97). Springer Singapore. Sucharitha, Y., Vinothkumar, S., Rao Vadi, V., Abidin, S., & Kumar, N. (2021). Wireless communication without the need for pre-shared secrets is consummate via the use of spread spectrum technology. J Nucl Ene Sci Power Generat Techno, 10(9), 2. Abidin, S. (2019). Enhancing security in WSN by artificial intelligence. In International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018 (pp. 814-821). Springer International Publishing. Bhoopathy, V., Behura, A., Reddy, V. L., Abidin, S., Babu, D. V., & Albert, A. J. (2021). WITHDRAWN: IOT-HARPSECA: A SECURE DESIGN AND DEVELOPMENT SYSTEM OF ROADMAP FOR DEVICES AND TECHNOLOGIES IN IOT SPACE. Abidin, S. (2017). Greedy Approach for Optimizing 0-1 Knapsack Problem. Communications on Applied Electronics, 7(6), 1-3. ajid, M., Jawed, M. S., Abidin, S., Shahid, M., Ahamad, S., & Singh, J. Capacitated Vehicle Routing Problem Using Algebraic Harris Hawks Optimization Algorithm. In Intelligent Techniques for Cyber-Physical Systems (pp. 183-210). CRC Press. Abidin, S., Raghunath, M. P., Rajasekar, P., Kumar, A., Ghosal, D., & Ishrat, M. (2022, July). Identification of disease based on symptoms by employing ML. In 2022 International Conference on Inventive Computation Technologies (ICICT) (pp. 1357-1362). IEEE. Malik, A., Parihar, V., Srivastava, J., Kaur, H., & Abidin, S. (2023, March). Prognosis of diabetes mellitus based on machine learning algorithms. In 2023 10th International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 1466-1472). IEEE. Vadi, V. R., Abidin, S., Khan, A., & Izhar, M. (2022). Enhanced Elman spike neural network fostered blockchain framework espoused intrusion detection for securing Internet of Things network. Transactions on Emerging Telecommunications Technologies, 33(12), e4634. Abidin, S., Dhariwal, M. K., Rane, K. P., Sivakumar, G., Babu, D. V., & Kumar, I. R. (2021). Development and Organize of Wireless Sensor Network in Home Management using IoT. International Journal of Aquatic Science, 12. Chadha, S., Mittal, S., & Singhal, V. (2020). Ancient text character recognition using deep learning. International Journal of Engineering Research and Technology, 3(9), 2177-2184. Chadha, S., Mittal, S., & Singhal, V. (2019). An insight of script text extraction performance using machine learning techniques. International Journal of Innovative Technology and Exploring Engineering, 9(1), 2581-2588. Gupta, N., Chauhan, R., & Chadha, S. (2020). Unmanned Aerial Vehicle (UAV) for Parcel Delivery. Int. J. Eng. Res. Technol, 13(10), 2824-2830. Chadha, S., Chauhan, R., & Gupta, N. (2022). Flood Prediction And Rainfall Analysis Using LightGradient Boosted Machine. NeuroQuantology, 20(9), 1690. Makkar, I. S., & Chadha, S. (2024, March). Unsupervised Emotion Matching for Image and Text Input. In 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) (Vol. 2, pp. 1-6). IEEE. Gupta, N., Chadha, S., Chauhan, R., & Singhal, P. (2023, December). Damage Evaluation Following Natural Disasters Using Deep Learning. In International Advanced Computing Conference (pp. 90-103). Cham: Springer Nature Switzerland. Gupta, N., Chadha, S., Srivastava, G., & Chauhan, R. (2021, October). Mortality Rate Extrapolation Based on Symptomatic Symptoms of Novel Corona Virus. In 2021 5th International Conference on Information Systems and Computer Networks (ISCON) (pp. 1-5). IEEE. ShikhaChadha, D. S., & Singhal, V. Ancient Text Character Recognition Using Deep Learning. Verma, S., Gupta, N., Anil, B. C., & Chauhan, R. (2022). A Novel Framework for Ancient Text Translation Using Artificial Intelligence. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 11(4), 411-425. Mandala, V. (2018). From Reactive to Proactive: Employing AI and ML in Automotive Brakes and Parking Systems to Enhance Road Safety. International Journal of Science and Research (IJSR), 7(11), 1992–1996. https://doi.org/10.21275/es24516090203 Mandala, V. (2019). Optimizing Fleet Performance: A Deep Learning Approach on AWS IoT and Kafka Streams for Predictive Maintenance of Heavy - Duty Engines. International Journal of Science and Research (IJSR), 8(10), 1860–1864. https://doi.org/10.21275/es24516094655 Mandala, V. (2019). Integrating AWS IoT and Kafka for Real-Time Engine Failure Prediction in Commercial Vehicles Using Machine Learning Techniques. International Journal of Science and Research (IJSR), 8(12), 2046–2050. https://doi.org/10.21275/es24516094823 Mandala, V., & Surabhi, S. N. R. D. (2024). Integration of AI-Driven Predictive Analytics into Connected Car Platforms. IARJSET, 7(12). https://doi.org/10.17148/iarjset.2020.71216 Mandala, V. Towards a Resilient Automotive Industry: AI-Driven Strategies for Predictive Maintenance and Supply Chain Optimization. Mandala, V., & Surabhi, S. N. R. D. (2021). Leveraging AI and ML for Enhanced Efficiency and Innovation in Manufacturing: A Comparative Analysis. Mandala, V. (2021). The Role of Artificial Intelligence in Predicting and Preventing Automotive Failures in High-Stakes Environments. Indian Journal of Artificial Intelligence Research (INDJAIR), 1(1). Mandala, V., & Surabhi, S. N. R. D. Intelligent Systems for Vehicle Reliability and Safety: Exploring AI in Predictive Failure Analysis. Mandala, V., & Kommisetty, P. D. N. K. (2022). Advancing Predictive Failure Analytics in Automotive Safety: AI-Driven Approaches for School Buses and Commercial Trucks. Mandala, V., & Mandala, M. S. (2022). ANATOMY OF BIG DATA LAKE HOUSES. NeuroQuantology, 20(9), 6413. Mandala, V., Premkumar, C. D., Nivitha, K., & Kumar, R. S. (2022). Machine Learning Techniques and Big Data Tools in Design and Manufacturing. In Big Data Analytics in Smart Manufacturing (pp. 149-169). Chapman and Hall/CRC. Mandala, V. (2022). Revolutionizing Asynchronous Shipments: Integrating AI Predictive Analytics in Automotive Supply Chains. Journal ID, 9339, 1263. Mandala, V., & Surabhi, S. N. R. D. (2024). Machine Learning Algorithms for Engine Telemetry Data: Transforming Predictive Maintenance in Passenger Vehicles. IJARCCE, 11(9). https://doi.org/10.17148/ijarcce.2022.11926 Surabhi, S. N. R. D., Mandala, V., & Shah, C. V. AI-Enabled Statistical Quality Control Techniques for Achieving Uniformity in Automobile Gap Control. Shah, C. V., Surabhi, S. N. R. D., & Mandala, V. ENHANCING DRIVER ALERTNESS USING COMPUTER VISION DETECTION IN AUTONOMOUS VEHICLE. Mandala, V., Jeyarani, M. R., Kousalya, A., Pavithra, M., & Arumugam, M. (2023, April). An Innovative Development with Multidisciplinary Perspective in Metaverse Integrating with Blockchain Technology with Cloud Computing Techniques. In 2023 International Conference on Inventive Computation Technologies (ICICT) (pp. 1182-1187). IEEE. Mandala, V., Rajavarman, R., Jamunadevi, C., Janani, R., & Avudaiappan, T. (2023, June). Recognition of E-Commerce through Big Data Classification and Data Mining Techniques Involving Artificial Intelligence. In 2023 8th International Conference on Communication and Electronics Systems (ICCES) (pp. 720-727). IEEE. Bibliography https://www.google.com/ https://www.sciencedirect.com/ https://ggu.ac.in/CentralLibrary.aspx http://www.jstor.org/ https://www.yourarticlelibrary.com/financial-management/capital-structure/capital-structure-meaning-concept-importance-and-factors-accounting/65150 https://corporatefinanceinstitute.com/resources/knowledge/finance/financial-performance/ https://www.tandfonline.com/doi/full/10.1080/1540496X.2020.1784717 https://www.who.int/health-topics/coronavirus#tab=tab_1 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8014102/ https://www.researchgate.net/publication/352377261_Impact_of_Covid19_on_Automobile_Industries_in_India