“The same insider trade that improves the accuracy of the price today can reduce the participation that makes the price informative tomorrow,” said Balbinder Singh Gill.
Prediction market regulators should consider a measured approach to insider trading enforcement as opposed to an outright ban, according to research from an academic at the Stevens Institute of Technology.
In a paper released on June 2, assistant professor of finance Balbinder Singh Gill developed a formal economic model to answer the question of how strictly insider trading in prediction markets should be policed.
A paradox exists in that “the same insider trade that improves the accuracy of the price today can reduce the participation that makes the price informative tomorrow,” he said.
You can get bonuses upto $100 FREE BONUS when you:
💰 Install these recommended apps:
💲 SocialGood - 100% Crypto Back on Everyday Shopping
💲 xPortal - The DeFi For The Next Billion
💲 CryptoTab Browser - Lightweight, fast, and ready to mine!
💰 Register on these recommended exchanges:
🟡 Binance🟡 Bitfinex🟡 Bitmart🟡 Bittrex🟡 Bitget
🟡 CoinEx🟡 Crypto.com🟡 Gate.io🟡 Huobi🟡 Kucoin.
Comments