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Webinar on Introduction to AI for Investments
Starts at:
Friday, March 11 @ 2:30 p.m. UTC
Ends at:
Friday, March 11 @ 4:30 p.m. UTC
Friday, March 11 @ 2:30 p.m. UTC
Friday, March 11 @ 4:30 p.m. UTC
About the Event
With the rise of AI and machine learning (ML), the conventional quantitative methods of investing in financial markets stand at an extreme disadvantage. Particularly so because the advent of algorithmic low latency trading has completely changed the landscape of modern financial markets. AI and Machine learning algorithms are able to exploit the inefficiencies of financial markets within a fraction of a second. Therefore, in this battle of speed, technology, and efficiency, only those investors may be able to build capital that is equipped with the knowledge of the latest tools -that is, AI and ML.
With this background, the webinar aims to offer a macro understanding of AI and ML applications in the field of investment management, through solving real-life financial market problems, using python programming.
In this webinar, the agenda for this webinar is:
- Introduction to AI for Investments
- AI and ML applications in the field of investment management
- Examples
- Why choose this course?
- Application Process for the Course
- Q & A
Check out our course on Executive Certificate Course on Advanced AI for Investments By IIT Roorkee here.
The Certificate of Participation will be provided from CloudxLab to all the attendees.
About Presenter
About Presenter
Prof. Abhinava Tripathi is a faculty of Finance at DOMS, IIT Roorkee. He is a PhD from IIM Lucknow. Previously, He has done his B-Tech. in Chemical Engineering from IIT Roorkee and MBA from IIM Kozhikode. He has more than five years of corporate experience in the banking and financial services industry. This includes managerial and analytical roles in investment banking (SBICAPS, Project Advisory and Structured Finance division), corporate banking (ICICI, Large corporate banking division), and credit rating (ICRA).
His current research focuses on the area of “Liquidity and Market Efficiency” in the context of the Indian market, employing high-frequency trade-book and order-book data. He has published articles in international journals, including Finance Research Letters, International Review of Economics & Finance, Journal of Asset Management, and Studies in Economics and Finance, among others.