CRR_Call Tracker

Text/HTML

Text/HTML

ValueProductView

ValueProductPastPerformance

Company NameReco DateReco PriceExit PriceExit Date% ReturnIn days
ITC Ltd. 28/12/2023464.20487.5002/01/2025 5.02% 1 yrs
Britannia Industries Ltd. 27/07/20234,875.805,028.2512/11/2024 3.13% 1 yrs
JSW Steel Ltd. 22/02/2024826.951,003.0026/09/2024 21.29% 217 days
Bajaj Auto Ltd. 22/08/20249,910.0011,930.0017/09/2024 20.38% 26 days
Dr. Reddy's Laboratories Ltd. 26/10/20235,429.306,536.0005/07/2024 20.38% 253 days
Shriram Finance Ltd. 25/04/20242,430.102,955.0028/06/2024 21.60% 64 days
Coal India Ltd. 25/01/2024389.50501.6022/05/2024 28.78% 118 days
Infosys Ltd. 27/10/20221,522.601,411.6019/04/2024 -7.29% 1 yrs
State Bank Of India 25/05/2023581.30782.0505/03/2024 34.53% 285 days
The Indian Hotels Company Ltd. 24/08/2023401.85517.9007/02/2024 28.88% 167 days

CRR_MVC_PastPerformance

Text/HTML

Our Other Trader Products

EasyDNNNews

Shashikant Singh
/ Categories: Mutual Fund

How far are we from using AI in asset management?

Every now and then some trends emerge both technical and otherwise that engulf the entire industry including manufacturing and services. Machine learning, Artificial Intelligence (AI) and big data are the current trends that are changing the way we operate and manage our businesses. There are industries and sectors that have already successfully embraced this phenomenon and reaping its benefits. The asset management company (AMCs), however, are yet to fully get a hold of this latest fad. AMCs are still in the process of evaluating how this can be used to design better investment strategies.

Big data for many is a collection and analysis of large and complex information datasets, that has three Vs, that is volume, velocity and variety. Volume refers to the amount of data, variety refers to the number of types of data and velocity refers to the speed of data processing. Such data is increasingly being used by companies to analyze and predict the behaviour of consumers. Meanwhile, AI can be defined as the use of computational tools to perform tasks that traditionally required human thinking. Machine learning is an application of AI that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed.

Although these may bring invaluable insights into fund management companies, there is hardly any evidence that machine learning, big data and AI are being used extensively. Concrete cases of investment managers able to deliver consistent outperformance in real life using these techniques are still absent. The reason being investment communities may not be able to establish a clear economic rationale between inputs and outputs. And most of the times what is tested on paper may not always be the same way in practical life. Since AMC are managing other’s money, they need to be extra cautious of using any such tool, until and unless they are confident that it will work.
Therefore, it will still take 3-4 years before we can see AMCs harnessing Big data, machine learning and AI to generate alphas for their investors.

 

Previous Article Five stocks with selling interest
Next Article Narayana Hrudayalaya gains as arm ties-up with Bangladesh-based hospital
Print
3254 Rate this article:
5.0
Please login or register to post comments.

DALAL STREET INVESTMENT JOURNAL - DEMOCRATIZING WEALTH CREATION

Principal Officer: Mr. Shashikant Singh,
Email: principalofficer@dsij.in
Tel: (+91)-20-66663800

Compliance Officer: Mr. Rajesh Padode
Email: complianceofficer@dsij.in
Tel: (+91)-20-66663800

Grievance Officer: Mr. Rajesh Padode
Email: service@dsij.in
Tel: (+91)-20-66663800

Corresponding SEBI regional/local office address- SEBI Bhavan BKC, Plot No.C4-A, 'G' Block, Bandra-Kurla Complex, Bandra (East), Mumbai - 400051, Maharashtra.
Tel: +91-22-26449000 / 40459000 | Fax : +91-22-26449019-22 / 40459019-22 | E-mail : sebi@sebi.gov.in | Toll Free Investor Helpline: 1800 22 7575 | SEBI SCORES | SMARTODR