Adrian D. Lee

Prof. Adrian D. Lee

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2018 in Journal of International Financial Markets, Institutions and Money
Verified
Journal Article
Closed access
DBDirk G. Baur
Dirk G. Baur
KHKiHoon Hong
KiHoon Hong
ALAdrian D. Lee
Adrian D. Lee

1 April 2014 in Journal of Financial and Quantitative Analysis
Verified
Journal Article
Closed access
PDF file
KFKingsley Y. L. Fong
Kingsley Y. L. Fong
DGDavid R. Gallagher
David R. Gallagher
ALAdrian D. Lee
Adrian D. Lee
We study the informativeness of trades via discount and full-service retail brokers. We find that trades via full-service retail brokers are statistically and economically more informative than are trades via discount retail brokers. This finding holds in every year over the 12-year sample period and in various subsamples. We also find that past returns, volatility, and news announcements positively relate to the net volume of discount retail brokers, but these variables are unrelated to the net volume of full-service retail brokers. Our results suggest that broker type selection bias is an important consideration in studying individual investors’ trades.

1 January 2015 in SSRN Electronic Journal
Verified
Preprint
Open access
PDF file
Dirk BaurDirk Baur
Dirk Baur
ALAdrian D. Lee
Adrian D. Lee
KHKihoon Hong
Kihoon Hong
Bitcoin is defined as digital money within a decentralized peer-to-peer payment network. It is a hybrid between precious metals with intrinsic value and fiat cu

7 February 2021 in Finance Research Letters
Verified
Journal Article
Closed access
MHMaggie R. Hu
Maggie R. Hu
ALAdrian D. Lee
Adrian D. Lee
DZDihan Zou
Dihan Zou

1 October 2015 in International Review of Financial Analysis
Verified
Journal Article
Closed access
ECEdwina F.L. Chai
Edwina F.L. Chai
ALAdrian D. Lee
Adrian D. Lee
JWJianxin Wang
Jianxin Wang

1 March 2020 in Management Science
Verified
Journal Article
Closed access
MHMaggie Rong Hu
Maggie Rong Hu
ALAdrian D. Lee
Adrian D. Lee
This paper examines how sentiment affects homebuyers’ housing transaction decisions with a focus on auction sales. Utilizing housing transaction data in Sydney from 2000 to 2014, we find that transaction prices are significantly higher for auction sales compared with private sales, consistent with the notion of a “winner’s curse.” Four sentiment proxies, including three weather-based sentiment proxies and a survey-based sentiment index, are used to derive novel measures of sentiment, revealing that higher sentiment is associated with higher transaction prices, particularly for auction sales. Moreover, sentiment boosts sale prices particularly when the housing market is in boom; however, investors are not more prone to sentiment bias than are owner-occupiers. Sentiment exhibits an asymmetric effect in that low sentiment dampens price to a greater extent compared with the price-boosting effect of high sentiment. Our result is robust to using national sport events as sentiment shocks, selection bias, and participation constraints. Potential mechanisms include present-biased preferences and sentiment-related projection bias. Overall, our evidence sheds light on the role of sentiment in housing market decisions. This paper was accepted by Tyler Shumway, finance.