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Home/Authors/Yuki Nakamura

Yuki Nakamura

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Game Theory×3Crypto×3Probability×3Trading and Market Microstructure×3

Research Timeline

2026
The Privacy Subsidy: Kyle's $λ$ under Noise-Perturbed Order-Flow Observation

The paper derives the unique linear Kyle equilibrium and identifies a closed-form 'privacy subsidy'—the break-even fee—for cryptocurrency exchanges that use Gaussian noise to obscure order flow.

The Privacy Subsidy in Glosten-Milgrom: Bid-Ask Spread and Welfare under Flip-Noise Direction Observation

This paper analyzes the bid-ask spread and welfare in the Glosten-Milgrom model when the market maker observes a noisy, privacy-protected trade direction signal, deriving a specific 'privacy subsidy' amount.

The Privacy Subsidy in Continuous-Time Kyle: Cumulative Welfare under Noise-Perturbed Order-Flow Observation

This paper extends the privacy subsidy concept from the single-period Kyle model to continuous time, deriving a closed-form expression for the cumulative expected transfer (privacy subsidy) in a continuous-time automated market maker (AMM) subject to noisy order-flow observations.

Highlighted terms show continued research focus across papers

Papers

cs.GTcs.CRmath.PRRecentMay 25, 2026

The Privacy Subsidy in Continuous-Time Kyle: Cumulative Welfare under Noise-Perturbed Order-Flow Observation

Yuki Nakamura

This paper extends the privacy subsidy concept from the single-period Kyle model to continuous time, deriving a closed-form expression for the cumulative expected transfer (privacy subsidy) in a conti…

View →
cs.GTcs.CRmath.PRRecentMay 19, 2026

The Privacy Subsidy in Glosten-Milgrom: Bid-Ask Spread and Welfare under Flip-Noise Direction Observation

Yuki Nakamura

This paper analyzes the bid-ask spread and welfare in the Glosten-Milgrom model when the market maker observes a noisy, privacy-protected trade direction signal, deriving a specific 'privacy subsidy'…

View →
cs.GTcs.CRmath.PRRecentMay 15, 2026

The Privacy Subsidy: Kyle's $λ$ under Noise-Perturbed Order-Flow Observation

Yuki Nakamura

The paper derives the unique linear Kyle equilibrium and identifies a closed-form 'privacy subsidy'—the break-even fee—for cryptocurrency exchanges that use Gaussian noise to obscure order flow.

View →