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Dive into the research topics where Ruoting Gong is active.

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Featured researches published by Ruoting Gong.


Stochastic Processes and their Applications | 2012

Small-time expansions of the distributions, densities, and option prices of stochastic volatility models with Lévy jumps

José E. Figueroa-López; Ruoting Gong; Christian Houdré

We consider a stochastic volatility model with Levy jumps for a log-return process Z=(Zt)t≥0 of the form Z=U+X, where U=(Ut)t≥0 is a classical stochastic volatility process and X=(Xt)t≥0 is an independent Levy process with absolutely continuous Levy measure ν. Small-time expansions, of arbitrary polynomial order, in time-t, are obtained for the tails P(Zt≥z), z>0, and for the call-option prices E(ez+Zt−1)+, z≠0, assuming smoothness conditions on the density of ν away from the origin and a small-time large deviation principle on U. Our approach allows for a unified treatment of general payoff functions of the form φ(x)1x≥z for smooth functions φ and z>0. As a consequence of our tail expansions, the polynomial expansions in t of the transition densities ft are also obtained under mild conditions.


Statistical Inference for Stochastic Processes | 2018

Trajectory fitting estimators for SPDEs driven by additive noise

Igor Cialenco; Ruoting Gong; Yicong Huang

In this paper we study the problem of estimating the drift/viscosity coefficient for a large class of linear, parabolic stochastic partial differential equations (SPDEs) driven by an additive space-time noise. We propose a new class of estimators, called trajectory fitting estimators (TFEs). The estimators are constructed by fitting the observed trajectory with an artificial one, and can be viewed as an analog to the classical least squares estimators from the time-series analysis. As in the existing literature on statistical inference for SPDEs, we take a spectral approach, and assume that we observe the first N Fourier modes of the solution, and we study the consistency and the asymptotic normality of the TFE, as


Siam Journal on Financial Mathematics | 2018

Short-Time Expansions for Call Options on Leveraged ETFs Under Exponential Lévy Models with Local Volatility

José E. Figueroa-López; Ruoting Gong; Matthew Lorig


Mathematical Finance | 2016

HIGH-ORDER SHORT-TIME EXPANSIONS FOR ATM OPTION PRICES OF EXPONENTIAL LÉVY MODELS

José E. Figueroa-López; Ruoting Gong; Christian Houdré

N\rightarrow \infty


arXiv: Computational Finance | 2012

High-order short-time expansions for ATM option prices under the CGMY model

Jos 'e E. Figueroa-L 'opez; Ruoting Gong; Christian Houdr 'e


Journal of Theoretical Probability | 2018

Lower Bounds on the Generalized Central Moments of the Optimal Alignments Score of Random Sequences

Ruoting Gong; Christian Houdré; Jüri Lember

N→∞.


arXiv: Probability | 2015

A Central Limit Theorem for the Optimal Alignments Score in Multiple Random Words

Ruoting Gong; Christian Houdré; Ümit Işlak

In this article, we consider the small-time asymptotics of options on a \emph{Leveraged Exchange-Traded Fund} (LETF) when the underlying Exchange Traded Fund (ETF) exhibits both local volatility and jumps of either finite or infinite activity. Our main results are closed-form expressions for the leading order terms of off-the-money European call and put LETF option prices, near expiration, with explicit error bounds. We show that the price of an out-of-the-money European call on a LETF with positive (negative) leverage is asymptotically equivalent, in short-time, to the price of an out-of-the-money European call (put) on the underlying ETF, but with modified spot and strike prices. Similar relationships hold for other off-the-money European options. In particular, our results suggest a method to hedge off-the-money LETF options near expiration using options on the underlying ETF. Finally, a second order expansion for the corresponding implied volatility is also derived and illustrated numerically.


Applied Mathematical Finance | 2017

Third-Order Short-Time Expansions for Close-to-the-Money Option Prices Under the CGMY Model

José E. Figueroa-López; Ruoting Gong; Christian Houdré


arXiv: Statistics Theory | 2018

Bayesian Estimations for Diagonalizable Bilinear SPDEs

Ziteng Cheng; Igor Cialenco; Ruoting Gong


arXiv: Probability | 2018

Wiener-Hopf factorization for time-inhomogeneous Markov chains and its application.

Tomasz R. Bielecki; Igor Cialenco; Ruoting Gong; Yicong Huang

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Christian Houdré

Georgia Institute of Technology

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Igor Cialenco

Illinois Institute of Technology

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Chenchen Mou

Georgia Institute of Technology

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Yicong Huang

Illinois Institute of Technology

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Matthew Lorig

University of Washington

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Tomasz R. Bielecki

Illinois Institute of Technology

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