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Aleksandra Rzeźnik

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Aleksandra Rzeźnik

Aleksandra Rzeźnik

Assistant Professor of Finance

(416) 736-2100 ext. 77953

Office: SSB N204G

Personal Website

  • Area of Expertise

    • Finance ›

    Research Interests

    • Asset Pricing
    • Empirical Finance
    • Institutional Investors
    • Liquidity
    • Real Estate
    Download CV
  • I am an Assistant Professor of Finance (tenure track) at Schulich School of Business, York University. I am an applied financial economist with broad research interests in asset pricing. To date, my research can be generally grouped into work on (1) market liquidity, and (2) the role of financial institutions in capital markets.

    Honours

    2018 WU Visiting Fellow, travel grant for a research stay at Rotman School of Management, WU Vienna University for Economics and Business

    2016 High Potential Contact Weeks, travel grant for a research stay at Rotman School of Management, WU Vienna University for Economics and Business

    Recent Publications

    Aleksandra Rzeźnik (2025), "Skilled Active Liquidity Management: Evidence From Shocks to Fund Flows", Journal of Empirical Finance, 81, 101579.

    Keywords
    • Equity mutual funds
    • Liquidity management
    • Managerial skills

    View Paper

    Abstract

    I examine the active liquidity management of U.S. equity mutual funds facing unexpected, persistent investor withdrawals by exploiting two independent shocks: the 2003 mutual fund scandal and the 2016 introduction of Morningstar Sustainability Ratings. I document that fund managers increase portfolio liquidity by adjusting both equity and cash holdings when subject to sudden, moderate, and prolonged outflows. Among affected funds, those that more aggressively increase portfolio liquidity significantly outperform their less liquidity-focused peers, suggesting that skilled managers employ active liquidity management to minimize costs imposed by redemption obligations.

    Aleksandra Rzeźnik with 342 co-authors from 34 countries and 207 institutions (2024), "Non-Standard Errors", Journal of Finance, 79(3), 2339–2390.

    Open Access Download

    Abstract

    In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty—nonstandard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for more reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants.

    Søren Hvidkjær, Massimo Massa, Aleksandra Rzeźnik (2023), "Co-illiquidity Management", Journal of Empirical Finance, 74,101429.

    Keywords
    • Commonality
    • Liquidity
    • Mutual funds
    • Short-sales constraints

    View Paper

    Abstract

    We study the link between illiquidity and co-movement in illiquidity and the way asset managers trade off illiquidity and co-illiquidity in their portfolio allocation decision. By exploring two experiments – the 2005 SHO Regulation and 2016 Tick Size pilot program – we document the way fund managers manage co-illiquidity risk and the implication for the market degree of illiquidity and co-illiquidity.

    Christoffersen, S. K., Musto, D. K., Keim, D. B., Rzeźnik, A. (2021), "Passive-Aggressive Trading: The Supply and Demand of Liquidity by Mutual Funds", Review of Finance, 3137465.

    Keywords
    • Fund Flows
    • Information
    • Liquidity
    • Trading Costs

    Open Access Download

    Abstract

    Active mutual funds supply liquidity when demanding it becomes uneconomical. They tilt toward cheaper buy trades after inflows deplete their trading ideas, when trading ideas in general run low, and when they have more stocks to supply liquidity to, and their cheaper trades perform worse. Their largest trades are more likely to supply liquidity, explaining why they were not broken up. Funds perform better when they pay more for their buys, and perform worse when they pay more for their sells, consistent with the implied value of the trades and the correlation between what a fund trades and what it holds.

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