Search Results for author: W. Brent Lindquist

Found 13 papers, 0 papers with code

Hedonic Models Incorporating ESG Factors for Time Series of Average Annual Home Prices

no code implementations10 Apr 2024 Jason R. Bailey, W. Brent Lindquist, Svetlozar T. Rachev

As the data for the annual price and predictor variables constitute non-stationary time series, to avoid spurious correlations in the analysis we transform each time series appropriately to produce stationary series for use in the GAM and GLM models.

Time Series

Enhancing CVaR portfolio optimisation performance with GAM factor models

no code implementations30 Dec 2023 Davide Lauria, W. Brent Lindquist, Svetlozar T. Rachev

We propose a discrete-time econometric model that combines autoregressive filters with factor regressions to predict stock returns for portfolio optimisation purposes.

Additive models

ESG-coherent risk measures for sustainable investing

no code implementations11 Sep 2023 Gabriele Torri, Rosella Giacometti, Darinka Dentcheva, Svetlozar T. Rachev, W. Brent Lindquist

The growing interest in sustainable investing calls for an axiomatic approach to measures of risk and reward that focus not only on financial returns, but also on measures of environmental and social sustainability, i. e. environmental, social, and governance (ESG) scores.

Unifying Market Microstructure and Dynamic Asset Pricing

no code implementations5 Apr 2023 Davide Lauria, W. Brent Lindquist, Svetlozar T. Rachev, Yuan Hu

We introduce a discrete binary tree for pricing contingent claims with the underlying security prices exhibiting history dependence characteristic of that induced by market microstructure phenomena.

Option pricing using a skew random walk pricing tree

no code implementations29 Mar 2023 Yuan Hu, W. Brent Lindquist, Svetlozar T. Rachev, Frank J. Fabozzi

Motivated by the Corns-Satchell, continuous time, option pricing model, we develop a binary tree pricing model with underlying asset price dynamics following It\^o-Mckean skew Brownian motion.

Hedonic Models of Real Estate Prices: GAM and Environmental Factors

no code implementations25 Oct 2022 Jason R. Bailey, Davide Lauria, W. Brent Lindquist, Stefan Mittnik, Svetlozar T. Rachev

We consider the use of P-spline generalized additive hedonic models for real estate prices in large U. S. cities, contrasting their predictive efficiency against linear and polynomial based generalized linear models.

ESG-valued discrete option pricing in complete markets

no code implementations13 Sep 2022 Yuan Hu, W. Brent Lindquist, Svetlozar T. Rachev

We consider option pricing using replicating binomial trees, with a two fold purpose.

Bitcoin Volatility and Intrinsic Time Using Double Subordinated Levy Processes

no code implementations25 Sep 2021 Abootaleb Shirvani, Stefan Mittnik, W. Brent Lindquist, Svetlozar T. Rachev

The first combines NDIG option pricing with the Cboe VIX model to compute an implied volatility; the second uses the volatility of the unit time increment of the NDIG model.

Time Series Time Series Analysis

Market Complete Option Valuation using a Jarrow-Rudd Pricing Tree with Skewness and Kurtosis

no code implementations16 Jun 2021 Yuan Hu, Abootaleb Shirvani, W. Brent Lindquist, Frank J. Fabozzi, Svetlozar T. Rachev

Applying the Cherny-Shiryaev-Yor invariance principle, we introduce a generalized Jarrow-Rudd (GJR) option pricing model with uncertainty driven by a skew random walk.

Portfolio Optimization Constrained by Performance Attribution

no code implementations7 Mar 2021 Yuan Hu, W. Brent Lindquist

This paper investigates performance attribution measures as a basis for constraining portfolio optimization.

Portfolio Optimization

Option Pricing Incorporating Factor Dynamics in Complete Markets

no code implementations16 Nov 2020 Yuan Hu, Abootaleb Shirvani, W. Brent Lindquist, Frank J. Fabozzi, Svetlozar T. Rachev

Using the Donsker-Prokhorov invariance principle we extend the Kim-Stoyanov-Rachev-Fabozzi option pricing model to allow for variably-spaced trading instances, an important consideration for short-sellers of options.

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