Andreas Park PRO
Professor of Finance at UofT
Katya Malinova
Andreas Park
Andriy Shkilko
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Source: RBCCM
don't try to do too many things or to be too nitty-gritty
must pay to adapt, no exceptions for venues
design, methodology, procedure
avoid biases and intrinsic noise
rebate prohibition for approximately 120-160 securities
prohibition group = approximately half of highly liquid, all venues (inverted, unprotected)
design, sample selection & analysis codes publicly posted
focus on highly liquid securities, split into 3 subgroups
align with SEC pilot and coordinate on sample
many securities almost never trade
low activity levels
large spreads/ single-sided quotes
=> noisy data
*based on IIROC definition
\(\sum_{k=1}^M \left( \frac{\textit{C}_{k}\!^i - \textit{C}_{k}\!^j}{\textit{C}_{k}\!^i +\textit{C}_{k}\!^{j}}\right)^2\)
Visual: this is what we are looking for
Mathematically: we estimate
\[\Delta{DV}_{it}=\alpha\cdot \textit{pilot}_{t} +{\textit{other } \atop \textit{variables}_{t}}+\delta_i+\epsilon_{it}\]
and ask: is \(\hat{\alpha}\not=0\)?
Question to industry:
Question to industry:
Associate Professor, Mackenzie Investments Chair in Evidence-Based Investment Management at the DeGroote School of Business, McMaster University
Associate Professor of Finance at the University of Toronto Mississauga and the Rotman School of Management, and Research Director at the Rotman FinHub
Associate Professor of Finance and Canada Research Chair in Financial Markets at Wilfrid Laurier University’s Lazaridis School of Business and Economics
By Andreas Park
The deck used at the September 12 CMI event at the Rotman School of Management.