activity
20102026
most citedThe Price Impact of Order Book Events

313 citations · 316 across the 5 of their papers we have counts for

collaborators

7 papers

q-fin.PR2026

Music as an Asset Class

Sasha Stoikov, Aadityaa Singla, Umu Cetin +1

In the streaming era, music revenues distributed to rights holders have become more transparent. However, it is not yet clear how to quantify the risk and return characteristics of…

cs.IR2024

Picky Eaters Make For Better Raters

Sasha Stoikov, Stefano Borzillo, Steffen Raub

It has been established in the literature that the number of ratings and the scores restaurants obtain on online rating systems (ORS) significantly impact their revenue. However, w…

cs.IR2023

Interface Design to Mitigate Inflation in Recommender Systems

Rana Shahout, Yehonatan Peisakhovsky, Sasha Stoikov +1

Recommendation systems rely on user-provided data to learn about item quality and provide personalized recommendations. An implicit assumption when aggregating ratings into item qu…

q-fin.PR2022

Valuation of Music Catalogs

Sasha Stoikov, Ivan Kosyuk

We propose a risk neutral approach to forecast the cashflows of music catalogs, based on historical revenue data. We use a discounted cashflows formula to produce reasonable ranges…

cs.IR2021★ 3 cited

Evaluating Music Recommendations with Binary Feedback for Multiple Stakeholders

Sasha Stoikov, Hongyi Wen

High quality user feedback data is essential to training and evaluating a successful music recommendation system, particularly one that has to balance the needs of multiple stakeho…

q-fin.CP2019

A model-free backward and forward nonlinear PDEs for implied volatility

Peter Carr, Andrey Itkin, Sasha Stoikov

We derive a backward and forward nonlinear PDEs that govern the implied volatility of a contingent claim whenever the latter is well-defined. This would include at least any contin…

q-fin.TR2010★ 313 cited

The Price Impact of Order Book Events

Rama Cont, Arseniy Kukanov, Sasha Stoikov

We study the price impact of order book events - limit orders, market orders and cancelations - using the NYSE TAQ data for 50 U.S. stocks. We show that, over short time intervals,…