activity
20182021
most citedOptimal Nonparametric Inference via Deep Neural Network

7 citations · 12 across the 9 of their papers we have counts for

collaborators

9 papers

q-fin.CP2021

The Generalized Gamma distribution as a useful RND under Heston's stochastic volatility model

Ben Boukai

Following Boukai (2021) we present the Generalized Gamma (GG) distribution as a possible RND for modeling European options prices under Heston's (1993) stochastic volatility (SV) m…

q-fin.PR2021★ 1 cited

On the RND under Heston's stochastic volatility model

Ben Boukai

We consider Heston's (1993) stochastic volatility model for valuation of European options to which (semi) closed form solutions are available and are given in terms of characterist…

stat.ME2020

Bayesian Modeling of COVID-19 Positivity Rate -- the Indiana experience

Ben Boukai, Jiayue Wang

In this short technical report we model, within the Bayesian framework, the rate of positive tests reported by the the State of Indiana, accounting also for the substantial variabi…

stat.ME2020

A statistical Testing Procedure for Validating Class Labels

Melissa C. Key, Ben Boukai

Motivated by an open problem of validating protein identities in label-free shotgun proteomics work-flows, we present a testing procedure to validate class/protein labels using ava…

q-fin.PR2020

How much is your Strangle worth? On the relative value of the Symmetric Strangle under the Black-Scholes model

Ben Boukai

Trading option strangles is a highly popular strategy often used by market participants to mitigate volatility risks in their portfolios. In this paper we propose a measure of the…

econ.EM2019

Statistical Inference on Partially Linear Panel Model under Unobserved Linearity

Ruiqi Liu, Ben Boukai, Zuofeng Shang

A new statistical procedure, based on a modified spline basis, is proposed to identify the linear components in the panel data model with fixed effects. Under some mild assumptions…