Here is a paper by IIMA working group that argues for automatic detection of market manipulation near expiry. The essence of the paper is that, SEBI has to detect fraud and punish the manipulators, rather than putting measures to prevent fraud( which has proven inadequate in general). This paper is inspired by an episode in the Indian market where a group of entities resorted to manipulative trading, who were later barred by SEBI from trading in the capital markets.

Link to my book review Takeaway: We see/hear/talk about “Information” in many contexts. In the last two decades or so, one can also go and make a career in the field of “Information” technology. But what is “Information” ? If someone talks about a certain subject for 10 minutes in English and 10 minutes in French, Is the “Information” same in both the instances?. Can we quantify the two instances in someway ?

[youtube https://www.youtube.com/watch?v=5bFzS6upIW4?rel=0]

Via Alok : [youtube https://www.youtube.com/watch?v=YmHyAHkjX_A?rel=0]

Here is a write-up by Hal R. Varian that talks about the deluge of data that makes it imperative for econometricians to equip themselves with “big data” skills. Some of the main points of the write-up are : Machine learning techniques such as decision trees, support vector machines, neural nets, deep learning and so on may allow for more effective ways to model complex relationships Data cleaning tools such as OpenRefine and Data Wrangler can be used to assist in data cleansing