What USD Investors Can Learn from Nifty & the S&P 500
When the S&P 500 has led the Nifty 50 (USD) for years, it can start to look … Continued
Read more17 September 2024
Money Control quotes Ashutosh Bishnoi, Director at Multi-Act, on the rise of impact investing among Indian family offices. Unlike traditional corporate efforts, these offices are forging deeper connections through ventures like climate initiatives and artisan preservation. As Ashutosh notes, they’re not just giving back but building lasting partnerships. With the younger generation leading the way, family offices are driving both social impact and financial returns—a true win-win!
Read full article here: https://www.moneycontrol.com/news/business/markets/creating-an-impact-indian-family-offices-up-the-game-on-impact-investing-12822501.html
When the S&P 500 has led the Nifty 50 (USD) for years, it can start to look … Continued
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Enterprise SaaS is becoming a strategic necessity for India’s BFSI sector, with mid-sized institutions leading adoption while … Continued
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Technology adoption in India’s BFSI sector is no longer only about digitisation. Enterprise Software as a Service … Continued
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| Sr. No. | Received from | Pending at the end of last month | Received | Resolved* | Total Pending # | Pending complaints >3 months |
Average Resolution time^ (in days) |
| 1 | Directly from Investors | 0 | 0 | 0 | 0 | 0 | 0 |
| 2 | SEBI (SCORES) | 0 | 0 | 0 | 0 | 0 | 0 |
| 3 | Other Sources (if any) |
0 | 0 | 0 | 0 | 0 | 0 |
| Grand Total | 0 | 0 | 0 | 0 | 0 | 0 |
Number of complaints received during month against the IA due to impersonation by some other entity:
Note: In case of any complaints received against the IA due to impersonation of the IA by some other entity, the IA may adjust the number of such complaints from total number of received/resolved complaints while preparing the above table. Further, IA must close such impersonation related complaints after following the due process as specified by SEBI/ IAASB.
* Inclusive of complaints of previous months resolved in the current month.
# Inclusive of complaints pending as on the last day of the month
^ Average Resolution time is the sum total of time taken to resolve each complaint in days, in the current month divided by total number of complaints resolved in the current month.
| Sr. No. | Month | Carried forward from previous month | Received | Resolved* | Pending# |
| 1 | April, 2026 | 0 | 0 | 0 | 0 |
| 2 | May, 2026 | 0 | 0 | 0 | 0 |
| 3 | June, 2026 | 0 | 0 | 0 | 0 |
| Grand Total | 0 | 0 | 0 | 0 |
*Inclusive of complaints of previous months resolved in the current month. #Inclusive of complaints pending as on the last day of the month.
| SN | Year | Carried forward from previous year | Received | Resolved* | Pending# |
| 1 | 2022-23 | 0 | 0 | 0 | 0 |
| 2 | 2023-24 | 0 | 0 | 0 | 0 |
| 3 | 2024-25 | 0 | 0 | 0 | 0 |
| 4 | 2025-26 | 0 | 0 | 0 | 0 |
| Grand Total | 0 | 0 | 0 | 0 |
*Inclusive of complaints of previous years resolved in the current year. #Inclusive of complaints pending as on the last day of the year.