scispace - formally typeset
T

Tarun Ramadorai

Researcher at Imperial College London

Publications -  126
Citations -  7595

Tarun Ramadorai is an academic researcher from Imperial College London. The author has contributed to research in topics: Hedge fund & Market liquidity. The author has an hindex of 36, co-authored 121 publications receiving 6470 citations. Previous affiliations of Tarun Ramadorai include University of Oxford & Economic Policy Institute.

Papers
More filters
Journal ArticleDOI

Levelling the trading field

TL;DR: In this paper, the authors examined the impact on stock prices of a major upgrade to the New York Stock Exchange's trading environment and found that the upgrade improved information dissemination on the trading floor and reduced the latency in reporting trades and quotes.
Posted Content

Institutional Portfolio Flows and International Investments

TL;DR: In this article, the relationship between institutional cross-border portfolio flows and domestic and foreign equity returns was analyzed using a new technique, and weekly data for 25 countries from 1994 to 1998.
Journal ArticleDOI

Learning from Noise: Evidence from India's IPO Lotteries

TL;DR: In this article, a natural experiment in which 1.5 million investors participated in allocation lotteries for Indian IPO stocks was conducted and the authors found that randomized IPO gains cause winning investors to increase applications to future IPOs and substantially increase portfolio trading volume in non-IPO stocks relative to lottery losers; the effects are symmetrically negative for experienced losses.
Journal ArticleDOI

The Effects of Experience on Investor Behavior: Evidence from India's IPO Lotteries

TL;DR: The authors exploit the randomized allocation of stocks in 57 Indian IPO lotteries to 1.7 million investors between 2007 and 2012 to provide new estimates of the causal effect of investment experiences on future investment behavior.
Posted Content

Hedge Funds: Performance, Risk and Capital Formation

TL;DR: In this paper, a comprehensive dataset of Funds-of-Hedge-FoFs (FoF) is used to investigate performance, risk and capital formation in the hedge fund industry over the past ten years.