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arxiv: 2605.21409 · v1 · pith:ODOQXGVFnew · submitted 2026-05-20 · 💱 q-fin.PM · q-fin.CP

Portfolio Preference Elicitation in Institutional Crossing Markets

Yoontae Hwang This is my paper

Pith reviewed 2026-05-21 02:44 UTC · model grok-4.3

classification 💱 q-fin.PM q-fin.CP
keywords portfolio preference elicitationinstitutional crossing marketslimited communicationdemand queriesvalue querieshybrid elicitationwelfare recoverypackage representation
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The pith

A hybrid of demand searches and targeted value verifications recovers 88 percent of full-information welfare in portfolio crossing under limited queries.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

Institutional crossing platforms must elicit preferences over signed portfolio trades when investors value bundles rather than single securities and communication is restricted. The paper models this as a two-stage elicitation process: price-directed demand queries first locate promising regions in the nonseparable portfolio space, after which value queries verify the welfare of selected packages. An incumbent verification query anchors the allocation before further search. Experiments calibrated to equity panels from four countries show that this hybrid recovers 88 percent of the welfare available under full information and approaches 95 percent with expanded communication, while demand-only or value-only procedures recover only about half. The work also compares exact security-level packages with factor-completed baskets and shows that the preferred representation depends on the cost of message informativeness.

Core claim

Portfolio crossing is modeled as limited-communication preference elicitation over signed portfolio trades. The platform first uses price-directed demand queries to search the portfolio space and then verifies selected packages through value queries, with an incumbent verification query recording the demand-discovered allocation before further exploration. Final allocations are chosen from the elicited reports. Market-calibrated experiments using equity panels from the United States, Korea, Japan, and Germany demonstrate that the hybrid procedure recovers 88 percent of full-information welfare under a limited query budget and approaches 95 percent as communication expands, whereas demandonly

What carries the argument

The hybrid demand-value elicitation procedure that first searches the portfolio space with price-directed demand queries and then verifies high-value packages with exact value queries.

If this is right

  • Demand queries locate high-value regions of a nonseparable portfolio space but supply only conservative welfare evidence unless the selected packages are verified.
  • Value queries deliver exact welfare comparisons but lose effectiveness when applied to poorly targeted packages.
  • Security-level packages are the unadjusted-efficiency mode when exact-securities disclosure is inexpensive.
  • Factor-completed basket packages become preferable when pretrade message informativeness is costly.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same selective-verification logic could be applied to other hidden-information allocation problems such as combinatorial auctions or matching markets with bundle preferences.
  • If participants can strategically shade reports, the current non-strategic limited-communication model would require an incentive-compatible extension to preserve the reported welfare gains.
  • Platform operators could test whether increasing the budget for verification queries yields diminishing returns beyond the 95 percent level shown in the calibrated experiments.

Load-bearing premise

Equity panel data from the United States, Korea, Japan, and Germany accurately represent the hidden liquidity and preference structures faced by real crossing platforms.

What would settle it

A live test on an operating crossing platform that measures realized welfare under a fixed query budget when the platform switches from hybrid queries to either demand-only or value-only queries.

Figures

Figures reproduced from arXiv: 2605.21409 by Yoontae Hwang.

Figure 1
Figure 1. Figure 1: Search and verification architecture under limited communication [PITH_FULL_IMAGE:figures/full_fig_p010_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Representation frontier under disclosure costs [PITH_FULL_IMAGE:figures/full_fig_p014_2.png] view at source ↗
read the original abstract

Institutional crossing platforms face a hidden-information problem: investors value trades as portfolios, but liquidity discovery is typically organized around individual securities. We model portfolio crossing as limited-communication preference elicitation over signed portfolio trades. The platform first uses price-directed demand queries to search the portfolio space and then verifies selected packages through value queries; an incumbent verification query records the demand-discovered allocation before further exploration. Final allocations are chosen from elicited reports, so the learning model guides queries but does not determine welfare. The analysis shows why search and verification are complementary. Demand queries locate high-value regions of a nonseparable portfolio space, but they provide only conservative welfare evidence unless selected packages are verified. Value queries provide exact welfare comparisons, but they are ineffective when applied to poorly targeted packages. Market-calibrated experiments using equity panels from the United States, Korea, Japan, and Germany show that demand-only and value-only designs recover only about half of full-information welfare under a limited query budget, whereas the hybrid procedure recovers 88\% and approaches 95\% as communication expands. We then compare exact security-level packages with factor-completed basket packages within the same allocation rule. Security-level packages are the unadjusted-efficiency mode when exact-securities disclosure is inexpensive. Factor-completed baskets become preferable when pretrade message informativeness is costly. The results characterize portfolio crossing as a selective verification problem and identify disclosure-sensitive package representation as a core design choice for hidden liquidity platforms.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 1 minor

Summary. The manuscript models portfolio crossing in institutional markets as a limited-communication preference-elicitation problem over signed portfolio trades. It proposes a hybrid procedure in which price-directed demand queries first locate high-value regions of a nonseparable portfolio space and value queries then verify selected packages, with an incumbent verification query fixing the demand-discovered allocation. Market-calibrated simulations on equity panels from the United States, Korea, Japan, and Germany are used to show that the hybrid recovers 88% of full-information welfare under a limited query budget (approaching 95% with expanded communication), while demand-only and value-only designs recover only about half. The paper further compares exact security-level packages with factor-completed baskets and concludes that portfolio crossing is best viewed as a selective-verification design problem whose optimal package representation depends on the cost of pre-trade disclosure.

Significance. If the calibration and welfare-recovery results prove robust, the work offers a concrete, mechanism-design-oriented framework for hidden-liquidity platforms that distinguishes the complementary roles of search and verification queries. The explicit treatment of non-separable portfolio utilities and the disclosure-sensitive choice between security-level and factor-completed representations are practically relevant contributions that could inform the architecture of real crossing venues.

major comments (2)
  1. [Market-calibrated experiments] Market-calibrated experiments: the mapping from per-security returns/volumes in the US/KR/JP/DE equity panels to ground-truth nonseparable portfolio utilities and hidden liquidity is not described in sufficient detail. Because the headline 88% versus ~50% welfare-recovery gap is obtained from these simulations, any factor structure or complementarity inadvertently embedded in the calibration procedure could artifactually favor the hybrid method. An explicit account of the query-budget definition, exact calibration steps, data-exclusion rules, and robustness checks is required to establish that the performance difference is a property of the elicitation rules rather than of the simulation design.
  2. [Model and welfare analysis] Limited-communication model: the welfare calculations rest on the assumption of truthful reporting. Strategic misreporting would change both the targeting of demand queries and the final welfare numbers. The manuscript should either derive incentive compatibility under the proposed query protocol or provide a robustness exercise that quantifies how much the reported recovery rates degrade under plausible strategic behavior.
minor comments (1)
  1. [Abstract and §3] The abstract states that 'an incumbent verification query records the demand-discovered allocation before further exploration.' The main text should clarify whether this step is an integral part of the hybrid protocol or an optional implementation detail, and how it affects the query-budget accounting.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive and detailed comments. We address each major point below and will revise the manuscript to incorporate the requested clarifications and robustness checks.

read point-by-point responses

  1. Referee: Market-calibrated experiments: the mapping from per-security returns/volumes in the US/KR/JP/DE equity panels to ground-truth nonseparable portfolio utilities and hidden liquidity is not described in sufficient detail. Because the headline 88% versus ~50% welfare-recovery gap is obtained from these simulations, any factor structure or complementarity inadvertently embedded in the calibration procedure could artifactually favor the hybrid method. An explicit account of the query-budget definition, exact calibration steps, data-exclusion rules, and robustness checks is required to establish that the performance difference is a property of the elicitation rules rather than of the simulation design.

    Authors: We agree that the calibration procedure requires more explicit documentation to substantiate the simulation results. In the revised manuscript we will add a dedicated subsection that details: (i) the exact mapping from per-security returns and volumes to the ground-truth nonseparable portfolio utilities, including the functional form and complementarity parameters used; (ii) the definition of the query budget in terms of the number and sequence of demand and value queries; (iii) the data-exclusion rules applied to the equity panels from the United States, Korea, Japan, and Germany; and (iv) additional robustness checks that vary the strength of complementarities and factor structures. These additions will confirm that the welfare-recovery gap is attributable to the elicitation design rather than to artifacts of the simulation. revision: yes

  2. Referee: Limited-communication model: the welfare calculations rest on the assumption of truthful reporting. Strategic misreporting would change both the targeting of demand queries and the final welfare numbers. The manuscript should either derive incentive compatibility under the proposed query protocol or provide a robustness exercise that quantifies how much the reported recovery rates degrade under plausible strategic behavior.

    Authors: We acknowledge that the welfare results rely on truthful reporting. Full derivation of incentive compatibility for the adaptive hybrid protocol is analytically involved. We will therefore add a robustness exercise to the revised manuscript that simulates plausible strategic misreporting (e.g., systematic over- or under-reporting in demand queries and selective disclosure in value queries) and reports the resulting degradation in welfare recovery relative to the truthful baseline. This will quantify the sensitivity of the 88% figure to deviations from truth-telling. revision: yes

Circularity Check

0 steps flagged

No significant circularity; welfare results derive from external panel calibration

full rationale

The paper's core results on welfare recovery (88% for hybrid vs ~50% for baselines) are obtained from market-calibrated simulations on independent equity panels (US, Korea, Japan, Germany). These panels supply per-security data that is mapped to portfolio utilities outside the elicitation rules themselves. The text explicitly states that final allocations are chosen from elicited reports and that the learning model guides queries but does not determine welfare. No equations reduce a reported performance metric to a fitted parameter by construction, no self-citation chain bears the central claim, and the complementarity argument between demand and value queries is presented as an analytical observation rather than a definitional identity. The simulation setup therefore functions as an external benchmark rather than an internal tautology.

Axiom & Free-Parameter Ledger

1 free parameters · 2 axioms · 0 invented entities

The central performance claims rest on domain assumptions about investor portfolio valuation and on the representativeness of the four-country equity panels; no new mathematical entities are introduced.

free parameters (1)
  • limited query budget
    The budget that constrains the number of demand and value queries is a design parameter whose specific values determine the 88% recovery figure.
axioms (2)
  • domain assumption Investors value trades as portfolios rather than individual securities
    Stated as the core hidden-information problem that motivates the entire elicitation model.
  • domain assumption Equity panels from US, Korea, Japan, and Germany represent typical hidden liquidity
    The market-calibrated experiments rely on this representativeness to generalize the welfare numbers.

pith-pipeline@v0.9.0 · 5782 in / 1473 out tokens · 29891 ms · 2026-05-21T02:44:35.478933+00:00 · methodology

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Reference graph

Works this paper leans on

66 extracted references · 66 canonical work pages

  1. [1]

    International Conference on Machine Learning , year=

    Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All , author=. International Conference on Machine Learning , year=

    work page

  2. [2]

    Breakthroughs in statistics: Methodology and distribution , pages=

    Bootstrap methods: another look at the jackknife , author=. Breakthroughs in statistics: Methodology and distribution , pages=. 1992 , publisher=

    work page 1992

  3. [3]

    Scandinavian journal of statistics , pages=

    A simple sequentially rejective multiple test procedure , author=. Scandinavian journal of statistics , pages=. 1979 , publisher=

    work page 1979

  4. [4]

    the Journal of Finance , volume=

    Equilibrium block trading and asymmetric information , author=. the Journal of Finance , volume=. 1990 , publisher=

    work page 1990

  5. [5]

    Management Science , volume=

    Dynamic portfolio execution , author=. Management Science , volume=. 2019 , publisher=

    work page 2019

  6. [6]

    Journal of Business , pages=

    The informational role of upstairs and downstairs trading , author=. Journal of Business , pages=. 1992 , publisher=

    work page 1992

  7. [7]

    Journal of Financial Economics , volume=

    Anatomy of the trading process empirical evidence on the behavior of institutional traders , author=. Journal of Financial Economics , volume=. 1995 , publisher=

    work page 1995

  8. [8]

    The Review of Financial Studies , volume=

    The upstairs market for large-block transactions: Analysis and measurement of price effects , author=. The Review of Financial Studies , volume=. 1996 , publisher=

    work page 1996

  9. [9]

    Journal of Financial Economics , volume=

    Transactions costs and investment style: an inter-exchange analysis of institutional equity trades , author=. Journal of Financial Economics , volume=. 1997 , publisher=

    work page 1997

  10. [10]

    Journal of Financial Economics , volume=

    Does an electronic stock exchange need an upstairs market? , author=. Journal of Financial Economics , volume=. 2004 , publisher=

    work page 2004

  11. [11]

    The Journal of Finance , volume=

    Crossing networks and dealer markets: Competition and performance , author=. The Journal of Finance , volume=. 2000 , publisher=

    work page 2000

  12. [12]

    Journal of Financial Markets , volume=

    Equity trading by institutional investors: To cross or not to cross? , author=. Journal of Financial Markets , volume=. 2006 , publisher=

    work page 2006

  13. [13]

    The Review of Financial Studies , volume=

    Do dark pools harm price discovery? , author=. The Review of Financial Studies , volume=. 2014 , publisher=

    work page 2014

  14. [14]

    Review of Finance , volume=

    The impact of dark trading and visible fragmentation on market quality , author=. Review of Finance , volume=. 2015 , publisher=

    work page 2015

  15. [15]

    Financial Management , volume=

    Diving into dark pools , author=. Financial Management , volume=. 2022 , publisher=

    work page 2022

  16. [16]

    The Review of Financial Studies , volume=

    Institutional brokerage networks: Facilitating liquidity provision , author=. The Review of Financial Studies , volume=. 2024 , publisher=

    work page 2024

  17. [17]

    The Journal of Finance , number = 1, pages =

    Markowitz, Harry , doi =. The Journal of Finance , number = 1, pages =

    work page

  18. [18]

    Active Portfolio Management: A Quantitative Approach for Producing Superior Returns and Controlling Risk , author=

    work page

  19. [19]

    Journal of Risk , volume=

    Optimal execution of portfolio transactions , author=. Journal of Risk , volume=

    work page

  20. [20]

    The Quarterly Journal of Economics , volume=

    The high-frequency trading arms race: Frequent batch auctions as a market design response , author=. The Quarterly Journal of Economics , volume=. 2015 , publisher=

    work page 2015

  21. [21]

    2023 , institution=

    Flow trading , author=. 2023 , institution=

    work page 2023

  22. [22]

    Frontiers of theoretical economics , volume=

    Ascending auctions with package bidding , author=. Frontiers of theoretical economics , volume=. 2002 , publisher=

    work page 2002

  23. [23]

    2006 , address =

    Combinatorial Auctions , publisher =. 2006 , address =

    work page 2006

  24. [24]

    2006 , publisher=

    Combinatorial auctions , author=. 2006 , publisher=

    work page 2006

  25. [25]

    Journal of Economic Theory , volume=

    The communication requirements of efficient allocations and supporting prices , author=. Journal of Economic Theory , volume=. 2006 , publisher=

    work page 2006

  26. [26]

    Proceedings of the 3rd ACM Conference on Electronic Commerce , pages=

    Preference elicitation in combinatorial auctions , author=. Proceedings of the 3rd ACM Conference on Electronic Commerce , pages=

    work page

  27. [27]

    Proceedings of the AAAI Conference on Artificial Intelligence , volume=

    Probably approximately efficient combinatorial auctions via machine learning , author=. Proceedings of the AAAI Conference on Artificial Intelligence , volume=

    work page

  28. [28]

    Management Science , volume=

    Taming the communication and computation complexity of combinatorial auctions: the fuel bid language , author=. Management Science , volume=. 2023 , publisher=

    work page 2023

  29. [29]

    The journal of finance , volume=

    Do ETFs increase volatility? , author=. The journal of finance , volume=. 2018 , publisher=

    work page 2018

  30. [30]

    Available at SSRN 3723406 , year=

    ETF arbitrage under liquidity mismatch , author=. Available at SSRN 3723406 , year=

    work page

  31. [31]

    Management science , volume=

    Intermediated blind portfolio auctions , author=. Management science , volume=. 2012 , publisher=

    work page 2012

  32. [32]

    international Journal of game Theory , volume=

    Core-selecting package auctions , author=. international Journal of game Theory , volume=. 2008 , publisher=

    work page 2008

  33. [33]

    Management Science , volume=

    ETF activity and informational efficiency of underlying securities , author=. Management Science , volume=. 2021 , publisher=

    work page 2021

  34. [34]

    Journal of Financial and Quantitative Analysis , volume=

    Etf sampling and index arbitrage , author=. Journal of Financial and Quantitative Analysis , volume=. 2026 , publisher=

    work page 2026

  35. [35]

    The Review of Financial Studies , volume=

    Steering a ship in illiquid waters: Active management of passive funds , author=. The Review of Financial Studies , volume=. 2025 , publisher=

    work page 2025

  36. [36]

    The Review of Financial Studies , volume=

    Consolidation, fragmentation, and the disclosure of trading information , author=. The Review of Financial Studies , volume=. 1995 , publisher=

    work page 1995

  37. [37]

    The Review of Financial Studies , volume=

    Sunshine trading and financial market equilibrium , author=. The Review of Financial Studies , volume=. 1991 , publisher=

    work page 1991

  38. [38]

    Econometrica: Journal of the Econometric Society , pages=

    Continuous auctions and insider trading , author=. Econometrica: Journal of the Econometric Society , pages=. 1985 , publisher=

    work page 1985

  39. [39]

    Journal of Financial Intermediation , volume=

    Security prices and market transparency , author=. Journal of Financial Intermediation , volume=. 1996 , publisher=

    work page 1996

  40. [40]

    The Review of Financial Studies , volume=

    In search of liquidity: Block trades in the upstairs and downstairs markets , author=. The Review of Financial Studies , volume=. 1997 , publisher=

    work page 1997

  41. [41]

    Journal of Financial Economics , volume=

    Hidden liquidity: an analysis of order exposure strategies in electronic stock markets , author=. Journal of Financial Economics , volume=. 2009 , publisher=

    work page 2009

  42. [42]

    The Journal of Finance , volume=

    Hidden liquidity: Some new light on dark trading , author=. The Journal of Finance , volume=. 2015 , publisher=

    work page 2015

  43. [43]

    Journal of Financial Economics , volume=

    Undisclosed orders and optimal submission strategies in a limit order market , author=. Journal of Financial Economics , volume=. 2013 , publisher=

    work page 2013

  44. [44]

    Journal of Financial Economics , volume=

    Shades of darkness: A pecking order of trading venues , author=. Journal of Financial Economics , volume=. 2017 , publisher=

    work page 2017

  45. [45]

    The Journal of Finance , volume=

    Predatory trading , author=. The Journal of Finance , volume=. 2005 , publisher=

    work page 2005

  46. [46]

    the Journal of Finance , volume=

    Liquidity and market structure , author=. the Journal of Finance , volume=. 1988 , publisher=

    work page 1988

  47. [47]

    The Journal of Finance , volume=

    The behavior of stock prices around institutional trades , author=. The Journal of Finance , volume=. 1995 , publisher=

    work page 1995

  48. [48]

    The Journal of Finance , volume=

    Institutional equity trading costs: NYSE versus Nasdaq , author=. The Journal of Finance , volume=. 1997 , publisher=

    work page 1997

  49. [49]

    The Journal of Finance , volume=

    The interim trading skills of institutional investors , author=. The Journal of Finance , volume=. 2011 , publisher=

    work page 2011

  50. [50]

    Journal of financial markets , volume=

    Optimal control of execution costs , author=. Journal of financial markets , volume=. 1998 , publisher=

    work page 1998

  51. [51]

    Journal of political Economy , volume=

    Capital market equilibrium with transaction costs , author=. Journal of political Economy , volume=. 1986 , publisher=

    work page 1986

  52. [52]

    The Journal of Finance , volume=

    Dynamic trading with predictable returns and transaction costs , author=. The Journal of Finance , volume=. 2013 , publisher=

    work page 2013

  53. [53]

    Annals of Operations Research , volume=

    Portfolio optimization with linear and fixed transaction costs , author=. Annals of Operations Research , volume=. 2007 , publisher=

    work page 2007

  54. [54]

    The Journal of Finance , volume=

    Do demand curves for stocks slope down? , author=. The Journal of Finance , volume=. 1986 , publisher=

    work page 1986

  55. [55]

    The Journal of Business , volume=

    Does arbitrage flatten demand curves for stocks? , author=. The Journal of Business , volume=. 2002 , publisher=

    work page 2002

  56. [56]

    Journal of financial economics , volume=

    Risk and return in an equilibrium APT: Application of a new test methodology , author=. Journal of financial economics , volume=. 1988 , publisher=

    work page 1988

  57. [57]

    Journal of financial economics , volume=

    Common risk factors in the returns on stocks and bonds , author=. Journal of financial economics , volume=. 1993 , publisher=

    work page 1993

  58. [58]

    Journal of Economic Theory , volume=

    A simple approach to arbitrage pricing theory , author=. Journal of Economic Theory , volume=. 1982 , publisher=

    work page 1982

  59. [59]

    Journal of Financial Economics , volume=

    Shrinking the cross-section , author=. Journal of Financial Economics , volume=. 2020 , publisher=

    work page 2020

  60. [60]

    European Financial Management , volume=

    Exchange traded funds and asset return correlations , author=. European Financial Management , volume=. 2018 , publisher=

    work page 2018

  61. [61]

    Journal of Investment Management , volume=

    Price dynamics and liquidity of exchange-traded funds , author=. Journal of Investment Management , volume=

    work page

  62. [62]

    Review of Accounting Studies , volume=

    Is there a dark side to exchange traded funds? An information perspective , author=. Review of Accounting Studies , volume=. 2017 , publisher=

    work page 2017

  63. [63]

    Journal of Machine Learning Research , volume=

    Preference elicitation and query learning , author=. Journal of Machine Learning Research , volume=

    work page

  64. [64]

    Proceedings of the 5th ACM Conference on Electronic Commerce , pages=

    Applying learning algorithms to preference elicitation , author=. Proceedings of the 5th ACM Conference on Electronic Commerce , pages=

    work page

  65. [65]

    Machine Learning-powered Iterative Combinatorial Auctions , year=

    Combinatorial auctions via machine learning-based preference elicitation , author=. Machine Learning-powered Iterative Combinatorial Auctions , year=

    work page

  66. [66]

    Proceedings of the AAAI Conference on Artificial Intelligence , volume=

    Fast iterative combinatorial auctions via bayesian learning , author=. Proceedings of the AAAI Conference on Artificial Intelligence , volume=

    work page