We met Sulekha[1] in a village in Uttarakhand. She was talking about the information she considered most important to her: her ration card, Aadhaar card, NREGA job card and her phone number.
We met Sulekha[1] in a village in Uttarakhand. She was talking about the information she considered most important to her: her ration card, Aadhaar card, NREGA job card and her phone number.
Initially, Kanhaiya[i] was wary of speaking to us. He was clutching his wallet tightly and declared upfront that he would not be showing us his ATM card.
This post is part of our blog series on the Conference on Designing Regulations for a Rapidly Evolving Financial System hosted by Dvara Research (formerly known as IFMR Finance Foundation).
This post is part of our blog series on the Conference on Designing Regulations for a Rapidly Evolving Financial System hosted by Dvara Research (formerly known as IFMR Finance Foundation).
Dvara Research (formerly known as IFMR Finance Foundation) held its 3rd Financial Systems Design Conference on August 4th and 5th, 2017 in Chennai India.
The collection and use of personal data in order to deliver public and commercial services is now routine in India. For a country with large digital ambitions, one of the key questions will be: How should we think about regulating the use of Indians’ personal data?
In the latest edition of The Securitisation & Structured Finance Handbook 2018 (published by Capital Markets Intelligence) Vishal Saxena and Dilip Mohan from IFMR Capital have authored a chapter as part of the publication. The chapter discusses an approach to estimate the loss distribution for a loan portfolio. This loss distribution can be used to […]
I was at an excellent behavioural finance conference organised by the Michigan University’s Centre on Finance, Law & Policy last week.
The Supreme Court of India’s judgment on the fundamental right to privacy yesterday, 24 August 2017, speaks directly to the sweeping changes we are witnessing in the way that the State and private companies use citizens’ personal data